Final Program and Abstracts

2017

21-25, 7

Sponsored by the SIAM Activity Group on Dynamical Systems

The SIAM Activity Group on Dynamical Systems provides a forum for the exchange of ideas and information between mathematicians and applied scientists whose work involves dynamical systems. The goal of this group is to facilitate the development and application of new theory and methods of dynamical systems. The techniques in this area are making major contributions in many areas, including biology, nonlinear optics, fluids, chemistry, and mechanics. This activity group supports the web portal DSWeb, maintains a member directory and mailing list, sponsors special sessions at SIAM meetings, organizes the biennial SIAM Conference on Applications of Dynamical Systems, and awards biennial prizes—the Jürgen Moser Lecture, J. D. Crawford Prize, and the Red Sock Award. The activity group also sponsors the DSWeb Student Competition for tutorials on dynamical systems and its applications written by graduate and undergraduate students and recent graduates. Members of SIAG/DS receive a complimentary subscription to the all-electronic, multimedia SIAM Journal on Applied Dynamical Systems.

SIAM 2017 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuildermedia.com/apps/siamevents

Society for Industrial and Applied Mathematics 3600 Market Street, 6th Floor Philadelphia, PA 19104-2688 USA Telephone: +1-215-382-9800 Fax: +1-215-386-7999 Conference E-mail: [email protected] Conference Web: www.siam.org/meetings/ Membership and Customer Service: (800) 447-7426 (USA & Canada) or +1-215-382-9800 (worldwide) www.siam.org/meetings/ds17 2 SIAM Conference on Applications of Dynamical Systems

Table of Contents SIAM Registration Desk Child Care The SIAM registration desk is located in As a service to SIAM attendees, SIAM Program-At-A-Glance… the Ballroom Foyer. It is open during the has made arrangements for in-room ...... Separate handout following hours: child care. If you have not already made General Information...... 2 reservations for child care and would Get-togethers...... 4 Saturday, May 20 like to inquire about availability, please Prize and Special Lecture ...... 7 4:00 PM - 8:00 PM call Camp Snowbird at (801) 933-2256, Invited Plenary Presentations...... 8 or e-mail the camp at campsnowbird@ Minitutorials ...... 10 Sunday, May 21 snowbird.com. Program Schedule...... 13 7:15 AM - 4:15 PM Poster Sessions...... 72 and 92 Corporate Members Monday, May 22 Abstracts...... 117 and Affiliates Speaker and Organizer Index...... 331 8:00 AM - 6:15 PM Conference Budget…Inside Back Cover SIAM corporate members provide Hotel Meeting Room Map…Back Cover Tuesday, May 23 their employees with knowledge about, 8:00 AM - 4:15 PM access to, and contacts in the applied mathematics and computational sciences Wednesday, May 24 community through their membership Organizing Committee 8:00 AM - 4:15 PM benefits. Corporate membership is more Co-Chairs than just a bundle of tangible products Evelyn Sander Thursday, May 25 and services; it is an expression of George Mason University, USA 8:00 AM - 4:00 PM support for SIAM and its programs. SIAM is pleased to acknowledge its Martin Wechselberger University of Sydney, Australia Hotel Address corporate members and sponsors. In recognition of their support, non- Organizing Committee Snowbird Ski and Summer Resort member attendees who are employed by 9320 S. Cliff Lodge Drive the following organizations are entitled Thomas L. Carroll Snowbird, UT 84092-9000 United States Naval Research Laboratory, to the SIAM member registration rate. USA USA Phone Number: +1-801-742-2222 Corporate/Institutional Members Elizabeth Cherry Toll Free Reservations (USA and Rochester Institute of Technology, USA Canada): +1-800-453-3000 The Aerospace Corporation Barbara Gentz Fax: +1-801-947-8227 Air Force Office of Scientific Research University of Bielefeld, Germany Hotel web address: http://www. Amazon Aramco Services Company Christopher Jones snowbird.com/ University of North Carolina at Chapel Hill, Bechtel Marine Propulsion Laboratory USA The Boeing Company Hotel Telephone Number CEA/DAM Kresimir Josic Department of National Defence (DND/ University of Houston, USA To reach an attendee or leave a message, call +1-801-742-2222. If the attendee CSEC) Edgar Knobloch DSTO- Defence Science and Technology University of California, Berkeley, USA is a hotel guest, the hotel operator can connect you with the attendee’s room. Organisation Yasumasu Nishiura Hewlett-Packard Tohoku University, Japan Huawei FRC French R&D Center Bob Rink Hotel Check-in and IBM Corporation Vrije Universiteit Amsterdam, The Check-out Times IDA Center for Communications Netherlands Check-in time is 4:00 PM. Research, La Jolla Anna Vainchtein Check-out time is 11:00 PM. IDA Center for Communications University of Pittsburgh, USA Research, Princeton Institute for Defense Analyses, Center Lai-Sang Young Courant Institute of Mathematical Sciences, for Computing Sciences New York University, USA Lawrence Berkeley National Laboratory Lawrence Livermore National Labs Lockheed Martin Los Alamos National Laboratory SIAM Conference on Applications of Dynamical Systems 3

Max-Planck-Institute for Dynamics of If you are not a SIAM member and paid Standard Audio/Visual Complex Technical Systems the Non-Member or Non-Member Set-Up in Meeting Rooms Mentor Graphics Mini Speaker/Organizer rate to attend the National Institute of Standards and conference, you can apply the difference SIAM does not provide computers for Technology (NIST) between what you paid and what a any speaker. When giving an electronic National Security Agency (DIRNSA) member would have paid ($130 for a presentation, speakers must provide their Naval PostGrad Non-Member and $65 for a Non-Member own computers. SIAM is not responsible Oak Ridge National Laboratory, managed Mini Speaker/Organizer) towards a for the safety and security of speakers’ by UT-Battelle for the Department of SIAM membership. Contact SIAM computers. Energy Customer Service for details or join at the Sandia National Laboratories conference registration desk. The Plenary Session Room will have two Schlumberger-Doll Research (2) screens, one (1) data projector and United States Department of Energy If you are a SIAM member, it only costs one (1) overhead projector. All other U.S. Army Corps of Engineers, Engineer $15 to join the SIAM Activity Group concurrent/breakout rooms will have one Research and Development Center on Dynamical Systems (SIAG/DS). As (1) screen and one (1) data projector. US Naval Research Labs a SIAG/DS member, you are eligible for an additional $15 discount on this The data projectors support HDMI List current April 2017. conference, so if you paid the SIAM connections, however, VGA cables member rate to attend the conference, will be available. Presenters requiring an alternate connection to HDMI or Funding Agencies you might be eligible for a free SIAG/ DS membership. Check at the registration VGA must provide their own adaptor. SIAM and the Conference Organizing desk. Presentations should be formatted for Committee wish to extend their thanks 16:9 ratio, however, the projectors will and appreciation to the U.S. National Free Student Memberships are available auto adjust for presentations formatted Science Foundation and DOE Office of to students who attend an institution that for 4:3, in which case there will be blank Advanced Scientific Computing Research is an Academic Member of SIAM, are spaces on the sides of the screens and the for their support of this conference. members of Student Chapters of SIAM, image(s) may be slightly compressed. or are nominated by a Regular Member of SIAM. If you have questions regarding availability of equipment in the meeting Join onsite at the registration desk, go to room of your presentation, please see a www.siam.org/joinsiam to join online or SIAM staff member at the registration download an application form, or contact desk. SIAM Customer Service: Join SIAM and save! Telephone: +1-215-382-9800 Internet Access Leading the applied (worldwide); or 800-447-7426 (U.S. and Complimentary wireless Internet access mathematics community . . . Canada only) will be available in the guest rooms, Fax: +1-215-386-7999 SIAM members save up to $130 public areas and meeting space of the E-mail: [email protected] Cliff Lodge. on full registration for the 2017 Postal mail: Society for Industrial and SIAM Conference on Applications Applied Mathematics, 3600 Market Email stations will also be available of Dynamical Systems (DS17). Join th Street, 6 floor, Philadelphia, PA during registration hours. your peers in supporting the premier 19104-2688 USA professional society for applied mathematicians and computational Registration Fee Includes scientists. SIAM members receive • Admission to all technical sessions subscriptions to SIAM Review, SIAM • Business Meeting (open to SIAG/DS News and SIAM Unwrapped, and enjoy members) substantial discounts on SIAM books, journal subscriptions, and conference • Coffee breaks daily registrations. • Room set-ups and audio/visual equipment • Dessert Receptions and Poster Sessions • Welcome Reception 4 SIAM Conference on Applications of Dynamical Systems

Job Postings Table Top Displays commitment, SIAM is dedicated to the philosophy of equality of opportunity and Please check with the SIAM registration AIP Publishing treatment for all participants regardless desk regarding the availability of job Institute of Physics Publishing of gender, gender identity or expression, postings or visit http://jobs.siam.org. SIAM sexual orientation, race, color, national Springer or ethnic origin, religion or religious Important Notice to Poster belief, age, marital status, disabilities, veteran status, field of expertise, or any Presenters Name Badges A space for emergency contact other reason not related to scientific merit. Poster Session 1 is scheduled on information is provided on the back of This philosophy extends from SIAM Tuesday, May 23 from 8:30 pm- 10:30 your name badge. Help us help you in conferences, to its publications, and pm. Poster Session 1 presenters are the event of an emergency! to its governing structures and bodies. requested to put up their posters between We expect all members of SIAM and 8:00 and 8:30 pm on Tuesday, at participants in SIAM activities to work which time boards and push pins will towards this commitment. be available. Poster displays must be Comments? removed at 10:30 pm, the end of Poster Comments about SIAM meetings are Please Note Session 1. encouraged! Please send to: Cynthia Phillips, SIAM Vice President for SIAM is not responsible for the safety Poster Session 2 is scheduled on Programs ([email protected]). and security of attendees’ computers. Do Wednesday, May 24, 8:30 pm- 10:30 not leave your personal electronic devices pm. Poster Session 2 presenters are unattended. Please remember to turn off requested to put up their posters between Get-togethers your cell phones and other devices during sessions. 8:00 and 8:30 pm on Wednesday, at Welcome Reception which time boards and push pins will Saturday, May 20 be available. Poster displays must be 6:00 PM – 8:00 PM removed at 10:30 pm, the end of Poster Recording of Presentations Session 2. Business Meeting Audio and video recording of (open to SIAG/DS members) presentations at SIAM meetings is For information about preparing a Monday, May 22 prohibited without the written permission poster, please visit 7:00 PM – 8:00 PM of the presenter and SIAM. http://www.siam.org/meetings/ Complimentary beer and wine will be guidelines/presenters.php. served. Social Media Poster Session 1 SIAM is promoting the use of social SIAM Books and Journals Tuesday, May 23 media, such as Facebook and Twitter, in Display copies of books and 8:30 PM - 10:30 PM order to enhance scientific discussion at its complimentary copies of journals are meetings and enable attendees to connect available on site. SIAM books are Poster Session 2 with each other prior to, during and after available at a discounted price during Wednesday, May 24 conferences. If you are tweeting about the conference. The books booth will 8:30 PM - 10:30 PM a conference, please use the designated be staffed from 9:00 AM through 5:00 hashtag to enable other attendees to keep PM. If a SIAM books representative Statement on Inclusiveness up with the Twitter conversation and to is temporarily away from the booth, allow better archiving of our conference completed order forms and payment As a professional society, SIAM is discussions. The hashtag for this meeting (credit cards are preferred) may be taken committed to providing an inclusive is #SIAMDS17. to the SIAM registration desk. The climate that encourages the open books table will close at 3:45 PM on expression and exchange of ideas, that SIAM’s Twitter handle is Thursday. is free from all forms of discrimination, @TheSIAMNews. harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that SIAM Conference on Applications of Dynamical Systems 5

The SIAM 2017 Events Mobile App Powered by TripBuilder® To enhance your conference experience, we’re providing a state-of-the-art mobile app to give you important conference information right at your fingertips. With this TripBuilder EventMobile™ app, you can:

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SIAM 2017 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuildermedia. com/apps/siamevents 6 SIAM Conference on Applications of Dynamical Systems

SIAM Activity Group on Dynamical Systems (SIAG/DS)

www.siam.org/activity/ds A GREAT WAY TO GET INVOLVED! Collaborate and interact with mathematicians and applied scientists whose work involves dynamical systems.

ACTIVITIES INCLUDE: 2017 • DSWeb portal ► • Special sessions at SIAM meetings ► • Biennial conference ► • Jürgen Moser Lecture

► • J. D. Crawford Prize 21-25, 7 ► • Red Sock Award

BENEFITS OF SIAG/DS MEMBERSHIP: • Listing in the SIAG’s online membership directory • Additional $15 discount on registration at the SIAM Conference on Applied Dynamical Systems (excludes students) • Dynamical Systems Magazine • Subscription to SIAM Journal on Applied Dynamical Systems ► • Electronic communications about recent developments in your specialty ► • Eligibility for candidacy for SIAG/DS office ► • Participation in the selection of SIAG/DS officers

ELIGIBILITY: • Be a current SIAM member. COST: • $15 per year • Student members can join 2 activity groups for free! 2016-17 SIAG/DS OFFICERS Chair: Mary Silber, The University of Chicago Vice Chair: Vivien Kirk, University of Auckland Program Director: Evelyn Sander, George Mason University Secretary & Co-Chief Editor of DSWeb Magazine: Mason Porter, University of California, Los Angeles Co-Chief Editor of DSWeb Magazine: Danny Abrams, Northwestern University Editor in Chief of DSWeb: Elizabeth Cherry, Rochester Institute of Technology TO JOIN:

SIAG/DS: my.siam.org/forms/join_siag.htm SIAM: www.siam.org/joinsiam SIAM Conference on Applications of Dynamical Systems 7

Prize Presentation and Special Lecture

** The Prize Presentation and Special Lecture will take place in the Ballroom**

SIAM Activity Group on Dynamical Systems Prizes

Sunday, May 21 6:00 PM - 6:15 PM Prize Presentations - Jürgen Moser and J. D. Crawford

J. D. Crawford Prize Recipient Martin Wechselberger, University of Sydney, Australia

Jürgen Moser Lecturer Edward Ott, University of Maryland, College Park, USA

6:15 PM - 7:00 PM Jürgen Moser Lecture: Emergent Behavior in Large Systems of Many Coupled Oscillators Edward Ott, University of Maryland, USA 8 SIAM Conference on Applications of Dynamical Systems

Invited Plenary Speakers

** All Invited Plenary Presentations will take place in the Ballroom**

Sunday, May 21 11:00 AM - 11:45 AM IP1 Some Geometrical and Physical Aspects of Morphogenesis L Mahadevan, Harvard University, USA

Monday, May 22 11:00 AM - 11:45 AM IP2 Pattern Formation in the Drylands: Vegetation Patterns in Mathematical Models and in Satellite Images of the Horn of Africa Mary Silber, University of Chicago, USA

6:00 PM - 6:45 PM IP3 Random Long Time Dynamics for Large Systems of Interacting Oscillators Giambattista Giacomin, Université Paris VII - Denis Diderot, France

Tuesday, May 23 11:00 AM - 11:45 AM IP4 Computational Approach Elucidating the Mechanisms of Cardiovascular Diseases Hiroshi Suito, Tohoku University, Japan SIAM Conference on Applications of Dynamical Systems 9

Invited Plenary Speakers ** All Invited Plenary Speakers will take place in the Ballroom **

Wednesday, May 24 11:00 AM - 11:45 AM IP5 Dynamics, Mixing, and Coherence Gary Froyland, University of New South Wales, Australia

Thursday, May 25 11:00 AM - 11:45 AM IP6 Stochastic Arnold Diffusion of Deterministic Systems Vadim Kaloshin, University of Maryland, USA

6:15 PM - 7:00 PM IP7 Interactions, Deformations and Bifurcations of Singular Patterns Arjen Doelman, Leiden University, Netherlands 10 SIAM Conference on Applications of Dynamical Systems

Minitutorials

Sunday, May 21

8:15 AM - 10:15 AM Ballroom 1 MT1: Rigorous Numerics in Dynamics Organizer: Konstantin Mischaikow, Rutgers University, USA

1:15 PM - 3:15 PM Ballroom 2 MT2: Data Assimilation Organizer: Elaine Spiller, Marquette University, USA SIAM Conference on Applications of Dynamical Systems 11 12 SIAM Conference on Applications of Dynamical Systems

CONFERENCE ATTENDEES: Get a free t-shirt SIAM Books when you buy two Visit the SIAM booth to see these and other SIAM books or more books!

Barriers and Transport in Unsteady Dynamic Mode Decomposition: Flows: A Melnikov Approach Data-Driven Modeling of Complex Sanjeeva Balasuriya Systems Mathematical Modeling and Computation 21 J. Nathan Kutz, Steven L. Brunton, How do coherent structures exchange fluid with their Bingni W. Brunton, Joshua L. Proctor surroundings? What is the impact on global mixing? The recently developed dynamic mode decomposition What is the “boundary” of the structure, and how does it (DMD) is an innovative tool for integrating data with move? Can these questions be answered from time-varying dynamical systems theory. The DMD has deep connections observational data? This book addresses these issues from with traditional dynamical systems theory and many recent the perspective of the differential equations that must be innovations in compressed sensing and machine learning. obeyed by fluid particles. The concepts are illustrated with This is the first book to address the DMD algorithm and an array of theoretical and applied examples that arise from it presents a pedagogical and comprehensive approach oceanography and microfluidics. to all aspects of DMD currently developed or under 2016 • xiv + 264 pages • Softcover • 978-1-611974-57-7 development. List $84.00 • Attendee $67.20 • SIAM Member $58.80 • MM21 2016 • xvi + 234 pages • Softcover • 978-1-611974-49-2 Differential Dynamical Systems, List: $69.00 • Attendee $55.20 • SIAM Member $48.30 • OT149 Revised Edition MATLAB Guide, Third Edition James D. Meiss Desmond J. Higham and Nicholas J. Higham Mathematical Modeling and Computation 22 This third edition of MATLAB Guide completely revises This new edition contains several important updates and updates the best-selling second edition and is more and revisions. It begins with coverage of linear systems, than 25 percent longer. The book remains a lively, concise including matrix algebra; the focus then shifts to introduction to the most popular and important features foundational material on nonlinear differential equations, of MATLAB® and the Symbolic Math Toolbox. Key making heavy use of the contraction-mapping theorem. features are a tutorial in Chapter 1 that gives a hands- Subsequent chapters deal specifically with dynamical on overview of MATLAB, a thorough treatment of systems concepts—flow, stability, invariant manifolds, the MATLAB mathematics, including the linear algebra and phase plane, bifurcation, chaos, and Hamiltonian dynamics. numerical analysis functions and the differential equation 2017 • xviii + 392 pages • Softcover • ISBN 978-1-611974-63-8 solvers, and a web page that provides example program List $87.00 • Attendee $69.60 • SIAM Member $60.90 • MM22 files, updates, and links to MATLAB resources. 2017 • xxvi + 476 pages • Hardcover • 978-1-611974-65-2 Model Emergent Dynamics List $62.00 • Attendee $49.60 • SIAM Member $43.40 • OT150 in Complex Systems A. J. Roberts Learning LaTeX, Second Edition Mathematical Modeling and Computation 20 David F. Griffiths and Desmond F. Higham Arising out of the growing interest in and applications “I never would have thought it possible, but the new edition of modern dynamical systems theory, this book explores is a substantial improvement with the additional coverage how to derive relatively simple dynamical equations that of BiBTeX, Beamer, and posters. Learning LaTeX should be model complex physical interactions. The authors use handed to new graduate students in mathematical sciences sound theory to explore algebraic techniques, develop along with their office key and ID card.” interesting applications, and discover general modeling — Don Estep, Colorado State University 2016 • x + 103 pages • Softcover • 978-1-611974-41-6 principles. The book unifies into one powerful and List $29.00 • Attendee $23.20 • SIAM Member $20.30 • OT148 coherent approach the many varied extant methods for mathematical model reduction and approximation. 2014 • xii + 748 pages • Softcover • 978-1-611973-55-6 List $114.00 • Attendee $91.20 • SIAM Member $79.80 • MM20 Prices expire June 25, 2017. All prices are in US dollars. Attendees get 20% off list. ORDER at bookstore.siam.org SIAM members Use your credit card (AMEX, Discover, MasterCard, or VISA) when ordering online, by phone at +1-215-382-9800 get 30% off. worldwide or toll free at 800-447-SIAM in USA and Canada, or by fax at +1-215-386-7999 • Send check or money order to: SIAM, Dept. BKDS17, 3600 Market Street, 6th Floor, Philadelphia, PA 19104-2688. Please mention “BKDS17” when you order.

SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS SIAM Conference on Applications of Dynamical Systems 13

Program Schedule

2017

21-25, 7 14 SIAM Conference on Applications of Dynamical Systems

Saturday, May 20 Sunday, May 21 Sunday, May 21 MT1 Rigorous Numerics in Registration Registration Dynamics 4:00 PM-8:00 PM 7:15 AM-4:15 PM 8:15 AM-10:15 AM Room:Ballroom Foyer Room:Ballroom Foyer Room:Ballroom 1 Chair: Konstantin Mischaikow, Rutgers University, USA Student Icebreaker These lectures provide an introduction 5:00 PM-6:00 PM to a novel approach to computational Room:Primrose A dynamics that describes rigorously the dynamics of systems for which the Chair: Chad M. Topaz, Macalester College, nonlinearities are imprecisely known USA or have weakly constrained parameters. On Saturday immediately before the This question arises from the need to opening reception, there will be an understand dynamics of multiscale models informal Student Icebreaker session. for phenomena that are too complex for Through structured activities, the nonlinearities to be derived from first primary goal is for attendees to leave principles; the life sciences is a typical feeling comfortable about the meeting, example. These challenges also arise in and having made new connections to settings where models are derived from depend on as friendly faces during the time series data. It is likely impossible conference. There is no additional cost, to give a precise description of dynamics but in order to get a count on how many without precise nonlinearities. However, if people to expect, we request that you the model is based on accurate heuristics, register for this session when you register or the time series data provides an accurate for the conference. description of trajectories through phase space, then a description of the dynamics that matches the model accuracy might Welcome Reception be attainable. We discuss three topics which aim to address this problem in a 6:00 PM-8:00 PM computationally tractable manner: 1. Room:Ballroom a coarse combinatorial representation of dynamics and its justification, 2. how this framework allows for efficient computations in both phase space and across parameter space, and 3. how the results of the computations can be rigorously identified with dynamics of the heuristic models. To demonstrate the applicability of these methods, we consider examples arising from the study of cell proliferation and malaria. Lattice Structures for Dynamics William D. Kalies, Florida Atlantic University, USA Dynamics of Gene Regulatory Networks with Unknown Parameters Tomas Gedeon, Montana State University, USA Validation of the Computations Konstantin Mischaikow, Rutgers University, USA SIAM Conference on Applications of Dynamical Systems 15

Sunday, May 21 Sunday, May 21 Sunday, May 21 MS1 MS2 MS3 Isochrons and Isostables Data-driven Approaches Network Topology and 8:15 AM-10:15 AM for Distinguishing Direct Dynamics in Complex Room:Ballroom 2 from Indirect Interactions in Systems: Modeling and Data The notion of isochrons is a remarkably Networks Analysis - Part I of II powerful tool in the study of physical, 8:15 AM-10:15 AM 8:15 AM-10:15 AM chemical, and biological oscillatory Room:Ballroom 3 Room:Primrose A systems. The analogous concept of isostables has recently gained traction as Complex networks are powerful For Part 2 see MS15 Complex networks are a powerful tool a strategy for characterizing the approach representations of spatially extended in modeling, and data-based analysis of of a dynamical system towards a systems, where the elements of the dynamical systems made up of many stationary solution. This minisymposium systems are nodes and interactions interacting units. The notion of network will emphasize recent advances in between elements are edges. When topology provides a framework for the the calculation of both isochrons and inferring directed interactions from mathematical representation of different isostables and will illustrate their data, one is faced with the challenge interaction patterns in dynamical systems. applications to the understanding of distinguishing direct from indirect A central pursuit of complex network of stochastic oscillations and in the interactions, in order to infer possible theory is to study the impacts of different reduction of complex nonlinear systems. causal relationships. Important examples include brain functional networks network topology on the functioning of a Organizer: Dan D. Wilson and climate networks. Despite a large system. In this minisymposium, we plan University of Pittsburgh, USA number of analysis techniques that to address the following questions related to this pursuit. What is the role of network Organizer: Jeff Moehlis address this issue, there still exist a number of problems (short and topology in dynamical phenomena University of California, Santa Barbara, USA noisy datasets, temporal variability of such as synchronization, diffusion of 8:15-8:40 Time-Optimal Control of interactions, trends, different time-scales opinions, epidemics and other contagions Biological Oscillators using Isochrons in the dynamics, assessing confidence on networks, etc.? We wish to address and Isostables levels, etc.) for which there are this question in a variety of network Bharat Monga and Jeff Moehlis, University settings such as static, co-evolving and of California, Santa Barbara, USA currently no satisfactory solutions. This minisymposium addresses some of these multi-layers, etc. We will also explore 8:45-9:10 Isostable Reduction for problems in order to advance the field. these issues in environments involving Stable Limit-Cycling Systems the interplay of noise and dynamics. Sho Shirasaka, Tokyo Institute of Technology, Organizer: Klaus Lehnertz In data analysis, we will present novel Japan; Wataru Kurebayashi, Aomori University of Bonn, Germany tools and methods for classification and University, Japan; Hiroya Nakao, Tokyo Institute of Technology, Japan Organizer: Cristina Masoller extraction of network topology from large Universitat Politecnica de Catalunya, Spain multidimensional data sets. 9:15-9:40 Defining the ”Phase” of a Stochastic Oscillator 8:15-8:40 Inferring Directed Organizer: Nishant Malik Peter J. Thomas and Alexander Cao, Case Interactions from Data: An Overview Dartmouth College, USA Western Reserve University, USA; Klaus Lehnertz, University of Bonn, Benjamin Lindner, Bernstein Center Germany Organizer: Anna Zakharova Institute of Theoretical Physics, Berlin, for Computational Neuroscience and 8:45-9:10 Coupling Function Humboldt University, Berlin, Germany Decomposition Germany 9:45-10:10 Isochrons for Saddle-Type Tomislav Stankovski, Saints Cyril and 8:15-8:40 Transitivity Reinforcement in Periodic Orbits in Three-Dimensional Methodius University of Skopje, Co-Evolving Network Models Space Macedonia Nishant Malik, Dartmouth College, USA; Hsuan-Wei Lee, University of Nebraska, James Hannam, Hinke M. Osinga, and Bernd 9:15-9:40 Tackling Indirect Directional Lincoln, USA; Bill Shi, University of Krauskopf, University of Auckland, New Couplings in Large Oscillator Zealand Networks: Partial Or Non-Partial Chicago, USA; Peter J. Mucha, University Phase Analysis? of North Carolina at Chapel Hill, USA Thorsten Rings and Klaus Lehnertz, University of Bonn, Germany 9:45-10:10 Pairwise Network Information and Direct Connectivity Jaroslav Hlinka, Academy of Sciences of the Czech Republic, Prague, Czech Republic; Joern Davidsen, Max Planck Institute for continued on next page Physics of Complex Systems, Germany 16 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 Sunday, May 21 Sunday, May 21 MS3 MS4 MS5 Network Topology and Aperiodic Order and State and Parameter Dynamics in Complex Quasicrystals in Nonlinear Estimation in Models of Systems: Modeling and Data Pattern Formation Cellular Electrical Activity Analysis - Part I of II 8:15 AM-10:15 AM 8:15 AM-10:15 AM 8:15 AM-10:15 AM Room:Primrose B Room:Maybird continued This minisymposium explores how A fundamental challenge in the dynamic the study of aperiodic long-range understanding of cell excitability and order in pattern-forming nonlinear signaling is to link the observable systems enhances and complements the variables to the unobserved biophysical 8:45-9:10 Evaluating the Sensitivity of Dynamical Systems to Interaction understanding of similar order exhibited mechanisms that produce it. Neurons Network Topology by quasicrystals in soft-matter and and endocrine cells exhibit electrical Stephen Eubank, Yihui Ren, and Madhurima solid-state systems. The first talk will dynamics critical to their function, and Nath, Virginia Tech, USA introduce pattern forming models that computational models of these dynamics exhibit quasiperiodic patterns and relate typically possess many variables and 9:15-9:40 Indirect Targeting in Networks them to the stability of quasicrystals. parameters. Furthermore, one typically Sean P. Cornelius and Adilson E. Motter, Other talks will span a range of has access to only a subset of the Northwestern University, USA approaches to this problem, from the variables needed to mathematically dynamical spectrum of quasiperiodic describe the underlying processes. For 9:45-10:10 Networks of Networks: patterns and its connection to these reasons, rigorous matching of Dispersal induced Supersaturation in Meta-Communities diffraction theory, to new models that the model dynamics to the observed Anshul Choudhary, University of Oldenburg, describe three-dimensional nonlinear neuronal data remains difficult. This Germany; Ramesh Arumugam and quasiperiodic patterns in soft matter opens questions regarding appropriate Partha Sharathi Dutta, Indian Institute systems. methodologies to properly estimate the of Technology, India; Ulrike Feudel, model parameters from the available Organizer: Priya Subramanian University of Oldenburg, Germany information. Several methodologies University of Leeds, United Kingdom are currently being applied to this Organizer: Alastair M. problem, including Markov chain Monte Rucklidge Carlo, direct search, Kalman filters, University of Leeds, United Kingdom and variational approaches. In this workshop we explore these questions by 8:15-8:40 Two Decades of Multiple bringing together researchers applying Scale Patterns: From Faraday Waves to Soft Quasicrystals various parameter estimation methods in Ron Lifshitz, Tel Aviv University, Israel representative fields involving neuronal and endocrine cell electrical excitability 8:45-9:10 Spectral Notions of with the goal of building common ground Aperiodic Order to advance the link between dynamics Uwe Grimm, The Open University, United and experimental data. Kingdom 9:15-9:40 Spatially Localized Organizer: Patrick A. Fletcher Quasicrystals National Institutes of Health, USA Priya Subramanian, University of Leeds, Organizer: Horacio G. Rotstein United Kingdom; Andrew Archer, Loughborough University, United New Jersey Institute of Technology, USA Kingdom; Edgar Knobloch, University of California, Berkeley, USA - Nonlinearity, Institute of Physics; Alastair M. Rucklidge, University of Leeds, United Kingdom 9:45-10:10 Growth Rules for Icosahedral Quasicrystalline Tilings Joshua Socolar, Duke University, USA continued on next page SIAM Conference on Applications of Dynamical Systems 17

Sunday, May 21 Sunday, May 21 Sunday, May 21 MS5 MS6 MS7 State and Parameter Random Dynamics in Nonlinear Dynamics of Estimation in Models of Microbiology Mechanical Metamaterials - Cellular Electrical Activity 8:15 AM-10:15 AM Part I of II 8:15 AM-10:15 AM Room:Magpie B 8:15 AM-10:15 AM continued Stochastic methods for describing the Room:Wasatch B evolution of systems in microbiology For Part 2 see MS19 8:15-8:40 Feature-Based Parameter often involve two components: one or The minisymposium will focus on Estimation in a Model of Anterior several continuous stochastic differential experimental and theoretical advances Pituitary Cell Electrical Activity equations (SDE), and possibly a random in the field of nonlinear mechanical Patrick A. Fletcher, National Institutes of discrete process used for switching metamaterials such as granular crystals, Health, USA between SDEs. Examples include coupled Helmholtz resonators, trusses 8:45-9:10 Markov Chain Monte Carlo the transport of molecular motors, or origami-based metamaterials. Such Estimation of Conductance-Based kinetics of biochemical reactions, and systems are able to sustain different Model Parameters oscillatory behavior in genetic circuits. types of nonlinear waves (solitary Joseph Mckenna, Florida State University, This minisymposium will focus on waves, breathers, shock waves, edge USA methods used in both continuous and modes), and their dynamical properties 9:15-9:40 Variational Approach for discrete stochastic processes, as well as are highly attractive for engineering Estimation of Parameters in Hodgkin- techniques for understanding effective applications, for example shock Huxley Models behavior for coupled processes on absorbtion or wave redirection. There Daniel Breen, University of San Diego, USA multiple scales. Speakers will highlight is a clear need for interaction between 9:45-10:10 Data Assimilation and various topics in SDEs, including renewal experimentalists and theoreticians in the Electrophysiological Modeling of theory, homogenization, non-Markov present context, due to the complexity Mammalian Circadian Clock Neurons models, and stochastic delay. of many strongly nonlinear effects Matthew Moye, New Jersey Institute of observed in experiments. Moreover, Technology, USA Organizer: Joe Klobusicky due to the large (potentially infinite) Rensselaer Polytechnic Institute, USA number of possible configurations for 8:15-8:40 Effective Dynamics of mechanical metamaterials, exploratory Multiple Molecular Motors analytical and numerical studies are Joe Klobusicky, Rensselaer Polytechnic fundamental in order to isolate the most Institute, USA promising experimental setups leading 8:45-9:10 A Non-Markov Model for to appropriate innovative dynamical Swimming Droplets properties. The minisymposium will Katherine Newhall, University of North present recent advances in the field and Carolina at Chapel Hill, USA foster collaborations between leading 9:15-9:40 Biological Applications of experts in different areas. Diffusion in a Randomly Switching Environment Organizer: Guillaume James Sean Lawley, University of Utah, USA Inria Grenoble, France 9:45-10:10 Oscillatory Behavior of a Organizer: Anna Vainchtein Genetic Circuit with Delayed Negative University of Pittsburgh, USA Feedback David Lipshutz, Brown University, USA; Ruth J. Williams, University of California, San Diego, USA

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Sunday, May 21 Sunday, May 21 8:15-8:40 Trajectory-based Computational Analysis of Coherent MS7 MS8 Structures in Flows Kathrin Padberg-Gehle, Leuphana University Nonlinear Dynamics of Set Oriented and Transfer Lueneburg, Germany Mechanical Metamaterials - Operator Methods for 8:45-9:10 Numerical Studies of Part I of II Turbulent Flows - Part I of II Turbulent Rayleigh-Bénard Convection 8:15 AM-10:15 AM 8:15 AM-10:15 AM Flows in Large-aspect-ratio Cells Joerg Schumacher, Technische Universitaet continued Room:Superior B Ilmenau, Germany For Part 2 see MS20 9:15-9:40 Data-Driven Techniques Transfer operator methods are very for Modeling, Control and Sensor Placement 8:15-8:40 Formation of Rarefaction effective tools for the global numerical Waves and Reverse Shocks in Strain- analysis of complicated dynamical Eurika Kaiser, University of Washington, Softening Lattices systems. Transfer operators are linear USA; Bernd Noack, Technical University Braunschweig, Germany; Andreas Spohn, Jinkyu Yang, Hiromi Yasuda, and Hryunryung operators that describe the evolution ENS, France; Robert K. Niven, University Kim, University of Washington, USA; of probability measures, densities, of New South Wales, Australia; Louis N. Christopher Chong, Bowdoin College, and observables under the action of Cattafesta, Florida State University, USA; USA; Panayotis Kevrekidis, University of the nonlinear dynamical system. Their Marek Morzynski, Poznan University Massachusetts, USA spectral analysis reveals macroscopic of Technology, Poland; Steven Brunton, 8:45-9:10 Impact Dispersion Using 2D structures that form a backbone of the Bingni W. Brunton, and Nathan Kutz, and 3D Composite Granular Packing large-scale dynamical behavior. This University of Washington, USA Surajit Sen, State University of New York at includes coherent sets, which are highly 9:45-10:10 Space-Time Computational Buffalo, USA; Mukesh Tiwari, Ambani persistent, long-living structures, or Methods for Coherent Sets Institute of Information and Communication dynamic modes. Transfer operators Peter Koltai, Freie Universitaet Berlin, Technology, India; T R Krishna Mohan, can be approximated in terms of Germany CSIR Centre for Mathematical Modelling the transition matrix of a finite-state and Computer Simulations, India Markov chain within a set oriented 9:15-9:40 Exploring Microstructural numerical approach. With increasing Mechanisms for Tailoring Effective efficiency and computational power, Material Nonlinear Response these methods can now be successfully Nicholas Boechler, University of Washington, applied also to systems with a cascade USA of different scales, like it is the case 9:45-10:10 Topological Sound and Odd for turbulence. Due to this, there has Viscosity in Chiral Active Materials been much scientific interest directed Vincenzo Vitelli, Universiteit Leiden, The towards the application of these tools in Netherlands turbulence research, which is witnessed by recent public research programs (e.g. the 6-year Priority Program “Turbulent Superstructures” funded by the German Research Foundation (DFG)). The purpose of this minisymposium is to gather both scientists who are pushing the frontiers of turbulence research and those of set oriented numerics, with the aim of discussing the opportunities behind the application of these dynamical systems tools to turbulent systems. Organizer: Peter Koltai Freie Universitaet Berlin, Germany Organizer: Kathrin Padberg- Gehle Leuphana University Lueneburg, Germany

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Sunday, May 21 8:45-9:10 Time-Periodic Delay Models Sunday, May 21 of Milling Processes MS9 Neil D. Sims, Luis Urena, and Erdem MS10 Delay Models of Machining Ozturk, University of Sheffield, United Dynamical Systems at the Kingdom Processes Interfaces of Biology and 9:15-9:40 Analytical Results in 8:15 AM-10:15 AM Nonlinear Dynamics of Turning Medicine Room:Superior A Tamas G. Molnar, Zoltan Dombovari, Tamas 8:15 AM-10:15 AM Insperger, and Gabor Stepan, Budapest Cutting processes have essential time University of Technology and Economics, Room:Wasatch A delays in their mathematical models. Hungary Mathematical modelling has long been These delays are inversely proportional 9:45-10:10 Effect of Unstable used in biology and medicine to study to the actual cutting speeds. The major Quasiperiodic Orbits on Heavy-Duty behaviours, predict outcomes, and source of instability in cutting processes Milling Operation optimise treatments. As our mechanistic is the so-called regenerative effect and Zoltan Dombovari, Budapest University of understanding of biological systems has its model involving a single scalar time Technology and Economics, Hungary; been refined, due in large part to the delay has been known since the 1960s Jokin Munoa, IK4 Research Alliance, continued improvement of experimental for turning processes. The analysis Spain techniques and the availability of of these models developed parallel to data, it is increasingly recognised that the theory of functional differential varying degrees of model complexity equations. Nowadays, the mathematical are necessary to capture underlying theory is available for nonlinear dynamics. Though we generally systems with time-periodic and/or state perceive modelling to be a tool used dependent delays, also with discrete to comprehend and interpret biology, and/or continuous delays, and the often the intricacy of the biological related numerical methods developed system inspires and informs very elegant simultaneously. In recent years, mathematical descriptions and methods. mathematical models also appeared to This session will explore dynamical describe advanced cutting problems, like systems at the interfaces of biology and in the case of deep drilling, or milling, medicine by highlighting research that or machining thin-walled structures. The elucidates biological phenomena while four lectures give an overview of these advancing mathematical analyses. The advanced models and the results of their systems studied here range from the analyses with the aim of making the cellular level to the global scale, and results accessible for the industry where have have had an impact on fundamental the maximization of the efficiency of experimental research and clinical production lines is an essential task. decisions. Topics include: hematopoiesis Organizer: Gabor Stepan analysed via delay-differential equation Budapest University of Technology and models to explain pathological Economics, Hungary oscillatory blood cell dynamics and the division of hematopoietic stem cells; the 8:15-8:40 State-Dependent Delay study of droplet formation and bubble Effects in Drilling bursting to determine how pathogens Balakumar Balachandran and Xie Zheng, University of Maryland, USA are transmitted to understand the spread of disease from person to person; and the influence of travel between meta- populations, and how data from the global air traffic network can be used to control epidemics and pandemics. Organizer: Morgan Craig Harvard University, USA

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Sunday, May 21 Sunday, May 21 Sunday, May 21 MS10 MS11 MS12 Dynamical Systems at the Modeling of Intracellular Optimal Control Design for Interfaces of Biology and Transport and Cell Complex Systems Medicine Organization - Part I of II 8:15 AM-10:15 AM 8:15 AM-10:15 AM 8:15 AM-10:15 AM Room:White Pine continued Room:Magpie A With ever so increasing complexity of For Part 2 see MS23 new engineering problems, whether it Pattern formation through transport of is design of smart grids or self-driving cars, it becomes more challenging to 8:15-8:40 Division Patterns and molecules along cytoskeleton filaments Dynamics of Hematopoietic Stem is key in the proper development of a develop efficient control strategies. Cells wide range of organisms. Mathematical Optimal control design can become Morgan Craig, Harvard University, USA models have become essential in computationally intractable even for moderate-size problems. In industrial 8:45-9:10 Normal and Pathological understanding movement of particles Dynamics of Platelets in Humans as well as the dynamics of cytoskeleton environment these challenges translate Gabriel Langlois, Brown University, USA; structures in these biological systems. into large product development cost Morgan Craig, Harvard University, USA; This minisymposium will provide overruns, which are arguably main Tony R. Humphries and Michael Mackey, an opportunity to connect dynamical limiting factor in new technology McGill University, Canada; Joseph M. systems and stochastic methods used to penetration. This minisymposium aims Mahaffy, San Diego State University, USA; model both intracellular transport and to address some of these challenges Jacques Belair, Université de Montréal, the resulting spatial organization at the and present a comprehensive view of Canada; Thibault Moulin, Université de cell level. It will also highlight methods future needs and key technology gaps Bourgogne, France; Sean Sinclair, McGill used to interpret experimental data in the in design engineering. The speakers University, Canada; Liangliang Wang, context of cellular transport, as well as will present their recent advances in Simon Fraser University, Canada avenues for proposing new experimental developing methods for optimal control 9:15-9:40 Revisiting Contact and designs. design and sensor placement, as well Disease Transmission Through the Lens as computational methods for dynamic of Fluid Dynamics Organizer: Bin Xu constrained optimization. While the Lydia Bourouiba, Massachusetts Institute of University of Utah, USA talks will focus on specific industry Technology, USA Organizer: Veronica M. applications, they will also provide a 9:45-10:10 Spatial and Temporal Ciocanel broader view on how to exploit network Spread of Infectious Pathogens topology, hierarchical structures and Brown University, USA Julien Arino, University of Manitoba, Canada weak couplings in the problem. The 8:15-8:40 Model for Cell Polarization minisymposium will also address Based on Coupled Membrane-Bulk development of design computation Diffusion methods that can take advantage of Alexandra Jilkine, University of Notre Dame, USA massively parallel computational environments. 8:45-9:10 Partner Search Strategy and Mechanisms of Polarization During Organizer: Slaven Peles Fission Yeast Mating Lawrence Livermore National Laboratory, Dimitrios Vavylonis and Bita Khalili, Lehigh USA University, USA 8:15-8:40 Transactive System 9:15-9:40 Mathematical Models Design and Analysis for Smart Grid for Cell Polarization and Gradient Applications Sensing Jianming Lian and Karanjit Kalsi, Pacific Timothy Elston, University of North Carolina, Northwest National Laboratory, USA Chapel Hill, USA 9:45-10:10 A PDE-DDE Model for Cell Polarization in Fission Yeast Bin Xu, University of Utah, USA

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Sunday, May 21 Sunday, May 21 Sunday, May 21 MS12 IP1 MT2 Optimal Control Design for Some Geometrical and Data Assimilation Complex Systems Physical Aspects of 1:15 PM-3:15 PM 8:15 AM-10:15 AM Morphogenesis Room:Ballroom 2 continued 11:00 AM-11:45 AM Chair: Elaine Spiller, Marquette University, Room:Ballroom USA 8:45-9:10 Optimal Sensor Placement Chair: Anna Vainchtein, University of We live in an increasingly data rich world, Using Graph Metrics Pittsburgh, USA but if we are interested in extrapolating, Tuhin Sahai, United Technologies Research forecasting, and/or understanding the How is living matter organized in space Center, USA; George Mathew, iRhythm behavior of unobserved variables in a Technologies, USA and time during morphogenesis? A system, we need models. The ultimate comparative view across animal and goal of data assimilation is to combine 9:15-9:40 A Multiobjective MPC plant species suggests that the answer Approach for Autonomously Driven physical models and observed data to get may lie in reusing just a few geometric Electric Vehicles an estimate of the state of a system. We cellular principles and organ-sculpting Sebastian Peitz and Kai Schäfer, University of want not just a good estimate, but one Paderborn, Germany; Sina Ober-Blöbaum, motifs. Using examples, I will discuss that reflects the attendant uncertainties Oxford University, United Kingdom; Julian the quantitative basis for three of these inherent in both observations and models. Eckstein and Ulrich Köhler, Hella KGaA motifs: elongation, lumenization and Observations of a system can be noisy, Hueck & Co., Germany; Michael Dellnitz, folding. partial, and/or sparse in space or time. University of Paderborn, Germany L. Mahadevan Models often depend on uncertain 9:45-10:10 Computational Methods for Harvard University, USA parameters – rate constants, boundary Dynamic Constrained Optimization conditions, initial conditions , etc. which Slaven Peles and Cosmin G. Petra, Lawrence we might want to characterize with Livermore National Laboratory, USA available observations. Furthermore, Lunch Break nonlinearity in a system typically makes 11:45 AM-1:15 PM analytic data assimilation strategies intractable. We will introduce some Coffee Break Attendees on their own standard approaches to data assimilation 10:15 AM-10:45 AM – ensemble Kalman filter methods, Room:Golden Cliff particle filter methods, and variational methods. We will discuss theoretical and computational challenges, practical strategies for implementation, and Welcome Remarks applications including numerical weather 10:45 AM-11:00 AM forecasting, forest ecology and flood Room:Ballroom forecasting. Additionally, we will give a brief overview of recent advances and open problems in data assimilation.

Elaine Spiller, Marquette University, USA Eric J. Kostelich, Arizona State University, USA Sarah Dance, University of Reading, United Kingdom 22 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 1:15-1:40 Recent Progress on Sunday, May 21 Computational Theorems in MS13 Dynamics MS14 Jan Bouwe Van Den Berg, VU University, Computer Assisted Proofs Amsterdam, Netherlands Astrocyte Calcium in Dynamical Systems - 1:45-2:10 Nontrivial Dynamics in the Dynamics and Astro-neural Part I of II Forced Navier-Stokes Equations: A Interactions Computer-Assisted Proof 1:15 PM-3:15 PM 1:15 PM-3:15 PM Jean-Philippe Lessard, Universite Laval, Room:Ballroom 1 Canada; Jan Bouwe Van Den Berg, VU Room:Ballroom 3 University, Amsterdam, Netherlands; For Part 2 see MS25 Astrocytes are a common type of Maxime Breden, Ecole Normale glial cells found in the brain. They While topological and variational Superieure Paris-Saclay, France and analysis provide strong general Universite Laval, Canada; Lennaert van serve many supportive roles in the “existence’’ theorems for families/ Veen, University of Ontario Institute of brain: waste removal, clearing of classes of problems, information about Technology, Canada neurotransmitters, enabling the blood- the shape of the solutions (e.g. the brain barrier, neuronal migration, 2:15-2:40 Rigorous Integration etc. Astrocyte pathologies have been patterns they describe) can usually Forward in Time of Pdes Using be obtained only with the help of a Chebyshev Basis also implicated in some diseases. computer calculations. Indeed, our Jacek Cyranka, Rutgers University, USA; Intriguingly, astrocytes could also be understanding of high and infinite Jan-Philippe Lessard, Universite de Laval, active players in shaping neuronal dimensional nonlinear dynamical Quebec, Canada activity. They bind neurotransmitters on their surface, produce large calcium systems is largely based on numerical 2:45-3:10 Validated Computation of simulations, which provide much Transport Barriers in Unsteady Flows transients, modulate extracellular ion intuition but we have little or no Shane D. Kepley and Jason D. Mireles concentrations, and secrete neuroactive rigorous control on the computational James, Florida Atlantic University, USA substances. Thus, form intertwined error. Computer assisted proofs of the neuron-glial networks supporting two- existence of low dimensional dynamical way signaling pathways between the structures, e.g. fixed points, periodic two cell populations. Participants of orbits, heteroclinic and homoclinic this minisymposium use mathematical orbits, can be used as building blocks models and dynamical systems theory in global analysis, either using gluing to address fundamental open questions methods from dynamical systems in mechanisms of astrocyte function theory or via Morse-Conley-Floer and astrocyte-neuron dynamics. In theory. In this way local, rigorously particular, we will discuss different verified, numerical solutions form mechanisms of astrocyte calcium the seeds of information from which signaling, variability of evoked calcium additional global understanding can be transients, potassium and glutamate gained. This minisymposium explores buffering by astrocytes in pathological recent advances in computer assisted conditions, regulation of extracellular theorems for numerical integration, ion concentrations by astrocytes, and spatio-temporal periodic solutions, role of astrocytes in seizures. parameter continuation and bifurcations Organizer: Alla Borisyuk in both ordinary and partial differential University of Utah, USA equations as well as delay equations. 1:15-1:40 Mathematical Investigation Organizer: Jonathan C. of Ion Dynamics in Astrocytes and Jaquette the Extracellular Space Rutgers University, USA Gregory A. Handy and Marsa Taheri, University of Utah, USA; John A. White, Organizer: Jan Bouwe Van Boston University, USA; Alla Borisyuk, Den Berg University of Utah, USA VU University, Amsterdam, Netherlands

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Sunday, May 21 Sunday, May 21 1:45-2:10 Inferring Network Topology from Observational Data: Potentials MS14 MS15 and Pitfalls Juergen Kurths, Potsdam Institute for Climate Astrocyte Calcium Network Topology and Impact Research and Humboldt University Dynamics and Astro-neural Dynamics in Complex Berlin, Germany Interactions Systems: Modeling and 2:15-2:40 Partial Cascades on One- 1:15 PM-3:15 PM Data Analysis - Part II of II Dimensional Geographic Networks Yosef M. Treitman, Rensselaer Polytechnic continued 1:15 PM-3:15 PM Institute, USA Room:Primrose A 2:45-3:10 Experimental Observation of 1:45-2:10 Minimal Modeling of GPCR- For Part 1 see MS3 Spiral Wave Chimera in a Very Large Mediated Calcium Signaling Complex networks are a powerful tool Network of Chemical Oscillators Maurizio De Pittà, University of Chicago, in modeling, and data-based analysis Jan Totz, Technische Universität Berlin, USA of dynamical systems made up of Germany; Kenneth Showalter, West Virginia University, USA; Harald Engel, many interacting units. The notion of 2:15-2:40 The Role of Astrocytic Technische Universität Berlin, Germany Glutamate Uptake in Neuronal network topology provides a framework Ion Homeostasis: A Case Study of for the mathematical representation Spreading Depolarization of different interaction patterns in Ghanim Ullah and Niklas Hubel, University dynamical systems. A central pursuit of South Florida, USA; Jokubas Ziburkus, of complex network theory is to study University of Houston, USA the impacts of different network 2:45-3:10 Role of Neuron-Glia topology on the functioning of a Interaction in Epileptogenesis system. In this minisymposium, we Maxim Bazhenov, University of California, plan to address the following questions Riverside, USA related to this pursuit. What is the role of network topology in dynamical phenomena such as synchronization, diffusion of opinions, epidemics and other contagions on networks, etc.? We wish to address this question in a variety of network settings such as static, co-evolving and multi- layers, etc. We will also explore these issues in environments involving the interplay of noise and dynamics. In data analysis, we will present novel tools and methods for classification and extraction of network topology from large multidimensional data sets. Organizer: Nishant Malik Dartmouth College, USA Organizer: Anna Zakharova Institute of Theoretical Physics, Berlin, Germany 1:15-1:40 Eigenvector Localization in Complex Networks Sarika Jalan, Indian Institute of Technology, Indore, India

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Sunday, May 21 1:15-1:40 Noise-Induced Rare Events Sunday, May 21 in Population Dynamics: the Role of MS16 Spatial Degrees of Freedom MS17 Michael Assaf, Hebrew University of Large Deviations in Jerusalem, Israel Chaotic Communications Stochastic Populations with 1:45-2:10 Making Rare Events and Radar - Part I of II Spatial Structure Happen: Prediction and Control 1:15 PM-3:15 PM of Extinction and Switching in 1:15 PM-3:15 PM Heterogeneous Networks Room:Maybird Room:Primrose B Ira B. Schwartz and Jason Hindes, US Naval For Part 2 see MS30 Research Laboratory, USA; Brandon The field of chaotic communications Understanding and predicting rare Lindley, Ralph Wagner Associates, USA; events caused by large fluctuations is has seen a revival in recent years thanks Leah Shaw, College of William & Mary, to new advances in matched filtering, often crucial in describing dynamics USA of complex systems. Rare events may synchronization, and signal processing. 2:15-2:40 Epidemic Extinction in lead to diverse phenomena such as Many of the problems of radar are Adaptive Networks with Avoidance closely related to communications, so crystal nucleation and growth, self- Rewiring assembly of macromolecules, protein these advances in one of these fields Leah Shaw, College of William & Mary, feed advances in the other. The range folding, population extinction, and loss USA; Jason Hindes and Ira B. Schwartz, of talks in this minisymposium will go of biodiversity. An important category US Naval Research Laboratory, USA of such complex systems includes from new techniques in using chaos 2:45-3:10 How Do Cells Extract to actual practical details of how to systems containing a discrete, large Information About the Direction of yet finite, population of interacting make chaos work in a communications Signaling Molecule Gradients to system. A particular focus will be on agents. For a sufficiently large Make Decisions? what is gained by using chaos instead of population, fluctuations on the order of Elijah Roberts, Johns Hopkins University, the typical system size are very rare. USA some random broad band signal. Yet it is precisely these extreme rare Organizer: Thomas L. Carroll events, giving rise e.g. to population Naval Research Laboratory, USA extinction, disease eradication or cellular switching, which may be of Organizer: Ned J. Corron key importance. As such systems are US Army RDECOM, USA often far from equilibrium, standard 1:15-1:40 Chaotic Sequences for techniques of statistical mechanics Synchronization and Communication are defied. Especially challenging is Thomas L. Carroll, Naval Research dealing with non-well-mixed extended Laboratory, USA systems, where the topology and spatial 1:45-2:10 Wireless Communication arrangement of individuals strongly with Chaos affect the long-time behavior. Our Hai-Peng Ren, Xi’an Jiaotong University, aim is to present novel analytical and P.R. China; Chao Bai and Jun-Liang Yao, numerical techniques that enable the Xi’an University of Technology, China; accurate and efficient computation of Murilo Baptista, University of Aberdeen, rare event statistics in such systems, United Kingdom; Celso Grebogi, King’s College, University of Aberdeen, United and allow the design of novel network Kingdom topological controls. The purpose of this minisymposium is to expose the 2:15-2:40 Chaos Theory in audience to recent progress in the field Communications: Applications and Challenges of large deviation theory in spatially- Georges Kaddoum, Ecole de Technologie extended systems, and to bring together Supérieure, Canada researchers developing new analytical and numerical techniques for analyzing 2:45-3:10 Chaotic OFDM System for stochastic population dynamics. Secure Multi-User Communications Henry Leung and Chatura Seneviratne, Organizer: Michael Assaf University of Calgary, Canada Hebrew University of Jerusalem, Israel

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Sunday, May 21 Sunday, May 21 1:45-2:10 A Model for Nonlinear Acoustic Waves in a Non-uniform MS18 MS19 Lattice of Helmholtz Resonators Jean-François Mercier, ENSTA ParisTech, Excitability, Feedback and Nonlinear Dynamics of France; Bruno Lombard, Laboratoire de Collective Decision-Making Mechanical Metamaterials Mécanique et d’Acoustique, France Dynamics - Part II of II 2:15-2:40 Symmetry-Induced Dynamic 1:15 PM-3:15 PM Localization in Lattice Structures 1:15 PM-3:15 PM Nathan Perchikov and Oleg Gendelman, Room:Magpie B Room:Wasatch B Technion Israel Institute of Technology, Israel Excitability dynamics have been For Part 1 see MS7 traditionally used to model the The minisymposium will focus on 2:45-3:10 Traveling Waves in Nonlinear accumulation of evidence for decision- experimental and theoretical advances Metamaterials: Granular Chains and making in neural systems. These same in the field of nonlinear mechanical Beyond dynamics are more recently being used metamaterials such as granular crystals, Haitao Xu, University of Minnesota, USA; to model the decision-making of a wide coupled Helmholtz resonators, trusses Panayotis Kevrekidis, University of Massachusetts, USA range of biological systems at varying or origami-based metamaterials. Such scales and levels of biological complexity. systems are able to sustain different This minisymposium will contribute types of nonlinear waves (solitary to bridging the study of excitable waves, breathers, shock waves, edge dynamics of neural systems with the modes), and their dynamical properties decision-making dynamics of groups are highly attractive for engineering of organisms, including foraging ant applications, for example shock colonies and house-hunting honeybees. absorbtion or wave redirection. There Dynamical analyses will be presented is a clear need for interaction between that help explain how decision-makers experimentalists and theoreticians in the regulate their behavior in the presence present context, due to the complexity of disturbances, how they tune their of many strongly nonlinear effects response to the value of alternatives, how observed in experiments. Moreover, they accommodate heterogeneity across due to the large (potentially infinite) the collective, and how they respond to a number of possible configurations for dynamic environment. mechanical metamaterials, exploratory analytical and numerical studies are Organizer: Naomi E. Leonard fundamental in order to isolate the most Princeton University, USA promising experimental setups leading Organizer: James Marshall to appropriate innovative dynamical University of Sheffield, United Kingdom properties. The minisymposium will 1:15-1:40 Excitability and Feedback in present recent advances in the field and Regulation of Foraging Harvester Ants foster collaborations between leading Renato Pagliara, Princeton University, USA; experts in different areas. Deborah M. Gordon, Stanford University, Organizer: Guillaume James USA; Naomi E. Leonard, Princeton Inria Grenoble, France University, USA 1:45-2:10 Models of Value-Sensitive Organizer: Anna Vainchtein Decision Making University of Pittsburgh, USA Thomas Bose, Andreagiovanni Reina, 1:15-1:40 Strongly Nonlinear and James A R Marshall, University of Acoustic Metamaterials with Passive Sheffield, United Kingdom Self-Tuning and Wave Redirection 2:15-2:40 Collective Behavior and Properties Individual Variability: From Personalities Mohammed A. Hasan, University of to Heterospecific Interactions California, San Diego, USA; Yuli Stamatios C. Nicolis, Université Libre de Starosvetsky, Technion - Israel Institute Bruxelles, Belgium of Technology, Israel; Leonid Manevitch, Russian Academy of Sciences, Russia; 2:45-3:10 Evidence Accumulation in Alexander Vakakis, University of Illinois, Dynamic Environments USA Zachary P. Kilpatrick, University of Colorado Boulder, USA; Adrian Radillo and Kresimir Josic, University of Houston, USA; Alan continued in next column Veliz-Cuba, University of Dayton, USA 26 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 1:15-1:40 Quantifying the Influence Sunday, May 21 of Lateral Boundaries on Turbulent MS20 Transport MS21 Nicholas T. Ouellette, Yale University, USA Set Oriented and Transfer Analytical and Numerical 1:45-2:10 Fast Computation of Operator Methods for Coherent Sets Advances in Multilayer and Turbulent Flows - Part II of II Oliver Junge, Technische Universität Multiplex Networks: Structure 1:15 PM-3:15 PM München, Germany and Dynamics 2:15-2:40 Computation of the Room:Superior B 1:15 PM-3:15 PM Koopman Spectrum in Complex Flows For Part 1 see MS8 Hassan Arbabi and Igor Mezic, University of Room:Superior A Transfer operator methods are very California, Santa Barbara, USA Many complex systems in the real effective tools for the global numerical 2:45-3:10 The Computation of world consist of components that cannot analysis of complicated dynamical Invariant Manifolds for Partial function independently, but interact systems. Transfer operators are linear Differential Equations by Set Oriented among them through different channels operators that describe the evolution Numerics of connectivity and dependencies. of probability measures, densities, Michael Dellnitz and Adrian Ziessler, Multilayer and multiplex networks and observables under the action of University of Paderborn, Germany explicitly incorporate multiple channels the nonlinear dynamical system. Their of connectivity in a system and constitute spectral analysis reveals macroscopic the natural mathematical setting for structures that form a backbone of the representing systems whose elements are large-scale dynamical behavior. This interconnected through different kinds of includes coherent sets, which are highly connections (or levels); thus each level persistent, long-living structures, or (channel, relationship, activity, category) dynamic modes. Transfer operators is represented by a layer containing all can be approximated in terms of the elements that have connections at that the transition matrix of a finite-state particular level. Notice that two elements Markov chain within a set oriented may belong to two different layers if they numerical approach. With increasing are connected at more than one level. efficiency and computational power, This minisymposium will present some these methods can now be successfully of the most recent major analytical and applied also to systems with a cascade numerical results achieved in the study of of different scales, like it is the case the structure and dynamics of multilayer for turbulence. Due to this, there has and multiplex networks, summarizing been much scientific interest directed some relevant applications in many towards the application of these tools in different disciplines. turbulence research, which is witnessed by recent public research programs (e.g. Organizer: Regino Criado the 6-year Priority Program “Turbulent Universidad Rey Juan Carlos, Spain Superstructures” funded by the German Organizer: Zhen Wang Research Foundation (DFG)). The Kyushu University, Japan purpose of this minisymposium is to gather both scientists who are pushing 1:15-1:40 Analysis of Chinese Airline the frontiers of turbulence research and Network As a Multilayer Network those of set oriented numerics, with Zhen Wang, Qingdao University, China the aim of discussing the opportunities 1:45-2:10 Inter-Layer Synchronization behind the application of these in Nonidentical Multilayer Networks dynamical systems tools to turbulent Irene Sendiña-Nadal and Inmaculada Leyva, systems. Universidad Rey Juan Carlos, Spain; Ricardo Sevilla-Escoboza, Universidad de Organizer: Peter Koltai Guadalajara, Mexico; Ricardo Gutierrez, Freie Universitaet Berlin, Germany Weizmann Institute of Science, Israel; Javier Buldu, Universidad Politécnica de Organizer: Kathrin Padberg- Madrid and Universidad Rey Juan Carlos, Gehle Madrid, Spain; Stefano Boccaletti, CNR, Leuphana University Lueneburg, Germany Italy

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Sunday, May 21 Sunday, May 21 1:15-1:40 Modelling the Impact of Physicochemical Drug Properties on MS21 MS22 Drug Reservoirs in the Skin Jane White, University of Bath, United Analytical and Numerical Mathematical Kingdom; Jennifer Jones, Rutgers Advances in Multilayer and Pharmacology University, USA; Begona Delgado-Charro, Multiplex Networks: Structure 1:15 PM-3:15 PM University of Bath, United Kingdom and Dynamics 1:45-2:10 Dimer Dynamics and Room:Wasatch A Degenerate Transversally Intersecting 1:15 PM-3:15 PM Drug development is expensive and Manifolds continued the number of drugs that is approved Gianne Derks, Philip J. Aston, and Christine for therapeutic use, remains in decline. Gavin, University of Surrey, United 2:15-2:40 A Multiplex View of There is an increasing awareness that Kingdom PageRank Through Biplex Markov the high level of biological complexity 2:15-2:40 Beyond Dose Predictions: Chains of organisms, pathophysiological How Mathematical Pharmacology Miguel Romance, Technical University of conditions, and our inability to capture Supports Drug Development from Madrid, Spain those features, are major obstacles Target Identification to Clinical 2:45-3:10 Generalizing the Master to design effective pharmacological Outcomes Stability Function to Multilayer therapies. Systems pharmacology is an Angelean O. Hendrix, PAREXEL, USA Networks emerging scientific area that aims to 2:45-3:10 Modeling Lung Airway Charo I. del Genio, University of Warwick, fill the gap between systems biology Liquid Dynamics for Hyperosmotic United Kingdom and pharmacology by integration of Treatment Design in Cystic Fibrosis biological mechanisms in quantitative Robert S. Parker, Matthew Markovetz, mechanistic models. This has brought and Timothy Corcoran, University of Pittsburgh, USA up a diversity of challenges that still need to be addressed in order to improve drug development and therapeutics. These challenges include: - multiple scales and the integration between those scales - integration of different modelling approaches - bridging between highly mechanistic complex models and focused simpler models that capture the essence for drug development and therapeutics. Mathematics, especially mathematical analysis and modelling, has enormous potential to tackle those challenges. As such, a mathematical pharmacology approach has the potential to advance the field of pharmacology and ultimately to allow for improved rational design of new therapeutic interventions with maximal therapeutic effect and minimal adverse drug effects. This minisymposium will exhibit work in the area of mathematical pharmacology and focus on exploring and enhancing the role of mathematical models and approaches in pharmacology. Organizer: Vivi Rottschafer Leiden University, Netherlands

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Sunday, May 21 2:15-2:40 Formation of Pseudo- Sunday, May 21 cleavage Furrow during Cell MS23 Polarization in C. Elegans MS24 Betul Aras, Ohio State University, USA; Optimization Methods in Modeling of Intracellular Yongcheng Zhou, Colorado State Transport and Cell University, USA; Adriana Dawes and Dynamical Systems Organization - Part II of II Ching-Shan Chou, The Ohio State 1:15 PM-3:15 PM University, USA 1:15 PM-3:15 PM Room:White Pine 2:45-3:10 Combining Computational Room:Magpie A Fluid Dynamics and Electron In order to obtain high level of For Part 1 see MS11 Tomography to Study the Mechanics performance with limited resources, Pattern formation through transport of of Kinetochore Microtubules optimization strategies are used in molecules along cytoskeleton filaments Ehssan Nazockdast and Sebastian Fürthauer, nature as well as in engineered systems. is key in the proper development of a Courant Institute of Mathematical Therefore, we may gain more insights wide range of organisms. Mathematical Sciences, New York University, USA; in the analysis and synthesis of such models have become essential in Stefanie Redemann and Thomas Müller- strategies by integrating methods from Reichert, Technische Universität Dresden, understanding movement of particles the fields of dynamical systems and Germany; Michael Shelley, Courant optimal control. In this minisymposium, as well as the dynamics of cytoskeleton Institute of Mathematical Sciences, New we bring together leading researchers structures in these biological systems. York University, USA This minisymposium will provide from these two communities, where an opportunity to connect dynamical distinctively different methodologies systems and stochastic methods used have been adopted. The speakers will to model both intracellular transport showcase the state-of-the-art analysis and the resulting spatial organization and synthesis tools by applying at the cell level. It will also highlight optimization in neural networks, methods used to interpret experimental humanoid robots and connected data in the context of cellular transport, vehicles. They will also highlight the as well as avenues for proposing new connections between optimal control, experimental designs. phase-plane diagrams, stability analysis and numerical continuation. Organizer: Bin Xu University of Utah, USA Organizer: Jin Ge University of Michigan, Ann Arbor, USA Organizer: Veronica M. Ciocanel Organizer: Gabor Orosz University of Michigan, Ann Arbor, USA Brown University, USA 1:15-1:40 Optimal Control 1:15-1:40 Spatial Modeling of Motor Re-Examined Using the Geometric Attachment and Detachment Methods of Dynamical Systems Peter R. Kramer and Abhishek Choudhary, Jin Ge and Gabor Orosz, University of Rensselaer Polytechnic Institute, USA Michigan, Ann Arbor, USA 1:45-2:10 The Paradox of 1:45-2:10 Automata Theory and Codependence Among Antagonistic Dynamic Programming Motors in Intracellular Transport Ivan Papusha, University of Texas, USA; Jie Scott McKinley, Tulane University, USA Fu, Worcester Polytechnic Institute, USA; Min Wen, University of Pennsylvania, USA; Ufuk Topcu, University of Texas, USA; Richard Murray, California Institute of Technology, USA 2:15-2:40 A System-Level Approach to Controller Synthesis Nikolai Matni, Yuh-Shyang Wang, and John Doyle, California Institute of Technology, USA 2:45-3:10 Learning Model Predictive Control for Iterative Tasks Ugo Rosolia and Francesco Borrelli, continued in next column University of California, Berkeley, USA SIAM Conference on Applications of Dynamical Systems 29

Sunday, May 21 3:45-4:10 Advances on Wright’s Sunday, May 21 Coffee Break Conjecture: Counting and Discounting Periodic Orbits in a MS26 3:15 PM-3:45 PM Delay Differential Equation Jonathan C. Jaquette, Rutgers University, Recent Developments in Room:Golden Cliff USA; Jean-Philippe Lessard, Universite Data Assimilation - Laval, Canada; Konstantin Mischaikow, Part I of II Rutgers University, USA; Jan Bouwe Van Den Berg, VU University, 3:45 PM-5:45 PM Amsterdam, Netherlands MS25 Room:Ballroom 2 Computer Assisted Proofs 4:15-4:40 Validated Saddle-node For Part 2 see MS39 in Dynamical Systems - Bifurcations and Applications to Data assimilation (DA) is the process Lattice Dynamical Systems by which observations are incorporated Part II of II Evelyn Sander and Thomas Wanner, into a forecast system to obtain a suitable George Mason University, USA 3:45 PM-5:45 PM estimate of reality. Although it has Room:Ballroom 1 4:45-5:10 Rigorous Continuation of classically been applied to global weather Periodic Orbits and Validation of prediction, DA since been applied to For Part 1 see MS13 Hopf Bifurcations math biology, efficacy of drug therapies, While topological and variational analysis Elena Queirolo, Vrije Universiteit urban planning, and more. Nevertheless, provide strong general “existence’’ Amsterdam, The Netherlands theorems for families/classes of problems, a central issue in DA is balancing the 5:15-5:40 Algorithms for Processing information about the shape of the high-dimensionality inherent in the the Labeled Conley Index solutions (e.g. the patterns they describe) models, the efficient exploitation of Rafael Frongillo, University of Colorado, the available data, and reducing errors can usually be obtained only with the USA help of a computer calculations. Indeed, naturally contained in both the model and our understanding of high and infinite data. This minisymposium will serve to dimensional nonlinear dynamical systems bridge the two communities of DA and is largely based on numerical simulations, analysis of partial differential equations which provide much intuition but we (PDE) through problems in DA. We have little or no rigorous control on propose two sessions, each one focused the computational error. Computer on the research done by one of these assisted proofs of the existence of low two communities. The first session will dimensional dynamical structures, e.g. consist of speakers in the area of analysis fixed points, periodic orbits, heteroclinic of PDE; they will address a certain DA and homoclinic orbits, can be used as algorithm based on feedback control, and building blocks in global analysis, either some of its applications, ranging from using gluing methods from dynamical numerical approximations to the context systems theory or via Morse-Conley- of incomplete observations. The second Floer theory. In this way local, rigorously one will focus on the more applied area verified, numerical solutions form of DA, with speakers discussing about the seeds of information from which topics such as: back and forth nudging additional global understanding can be applied to geophysical flows; forecast gained. This minisymposium explores sensitivity to observations; and balance recent advances in computer assisted control of the ensemble Kalman filter. theorems for numerical integration, Organizer: Vincent R. Martinez spatio-temporal periodic solutions, Tulane University, USA parameter continuation and bifurcations in both ordinary and partial differential Organizer: John Maclean equations as well as delay equations. University of North Carolina, Chapel Hill, USA Organizer: Jonathan C. Jaquette Organizer: Cecilia F. Mondaini Rutgers University, USA Texas A&M University, USA Organizer: Jan Bouwe Van Den Berg VU University, Amsterdam, Netherlands continued on next page continued in next column 30 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 Sunday, May 21 Sunday, May 21 MS26 MS27 MS28 Recent Developments in The Dynamics and Function Dynamics of Oscillator Data Assimilation - of Neuronal Networks - Populations: Patterns and Part I of II Part I of II Dynamics on the Way to 3:45 PM-5:45 PM 3:45 PM-5:45 PM Synchrony continued Room:Ballroom 3 3:45 PM-5:45 PM For Part 2 see MS40 Room:Primrose A The dynamics of neuronal networks Ensembles of coupled oscillators can 3:45-4:10 Numerical Approximation provide rich information regarding the demonstrate, besides trivial regimes of of a Data Assimilation Algorithm by a nature of neuronal computation and full asynchrony and of full synchrony, Post-processing Galerkin Method information processing in the brain. nontrivial dynamical states of partial Cecilia F. Mondaini and Ciprian Foias, This minisymposium explores recent synchronization. Considerable Texas A&M University, USA; Edriss S. work in the modeling and analysis progress has been made recently in Titi, Texas A&M University, USA and of neuronal dynamics and function, developing analytical approaches for a Weizmann Institute of Science, Israel emphasizing implications on visual characterization of nontrivial states of 4:15-4:40 Determining the Global information processing, synchronization partial synchrony. In this minisymposium Dynamics of the 2D Navier-Stokes and oscillations, network connectivity, we will present both novel theoretical Equations by 1D ODE and variability from a single neuron to a tools as well as surprising examples of Edriss S. Titi, Texas A&M University, USA neuronal network. The speakers will draw collective behavior. The talks will discuss and Weizmann Institute of Science, Israel; particular attention to new mathematical striking integrability properties of the Ciprian Foias, Texas A&M University, advances in characterizing the structure- Kuramoto phase oscillator network, as USA; Michael S. Jolly and Dan Lithio, function relationship for complex neuronal well as perturbation theory on top of Indiana University, USA networks and techniques for understanding this integrability, allowing one to find 4:45-5:10 Synchronization of Chaotic the biophysical mechanisms underlying evolution of the integrals for ensembles Dynamical Systems Using Time- experimentally observed phenomena. close to the Kuramoto model. Further Averaged Partial Observations of the talks focus on nontrivial spiral patterns of Phase Space Organizer: Songting Li partial synchrony due to spatial coupling, Jordan Blocher, University of Nevada, Courant Institute of Mathematical Sciences, and on the interplay of phase locking Reno, USA; Vincent R. Martinez, Tulane New York University, USA University, USA; Eric Olson, University with frequency anti-entrainment in a of Nevada, Reno, USA Organizer: Victor Barranca noise-driven Kuramoto ensemble. Swarthmore College, USA 5:15-5:40 Data Assimilation Organizer: Rennie Mirollo Algorithms for Geophysical Models Organizer: Douglas Zhou Boston College, USA and Charney’s Conjecture Shanghai Jiao Tong University, China Aseel Farhat, University of Virginia, USA; Organizer: Arkady Pikovsky Evelyn Lunasin, United States Naval 3:45-4:10 Distance-Dependent University of Potsdam, Germany Edge-Correlations and Synchrony in Academy, USA; Edriss S. Titi, Texas 3:45-4:10 Interplay of Coupling and A&M University, USA and Weizmann Neuronal Networks Duane Nykamp and Samantha Fuller, Common Noise at the Transition to Institute of Science, Israel Synchrony in Oscillator Populations University of Minnesota, USA Arkady Pikovsky, University of Potsdam, 4:15-4:40 Independent Noise Germany; Denis S. Goldobin, Russian Synchronizing Population Rhythms of Academy of Sciences, Russia; Michael Networks of Pulse-Coupled Oscillators Rosenblum, University of Potsdam, John Meng, Xize Xu, and Hermann Riecke, Germany; Anastasyia Pimenova, Institute Northwestern University, USA of Continuous Media Mechanics, Perm, 4:45-5:10 Granger Causality in Sparse Russia Neuronal Network Yangyang Xiao, New York University, USA 5:15-5:40 A Probability Polling State of Neuronal Systems Underlying Maximum Entropy Coding Principle Douglas Zhou, Shanghai Jiao Tong University, China; Zhiqin John Xu, New York University, USA; David Cai, Shanghai Jiao continued on next page Tong University, China and Courant Institute of Mathematical Sciences, New York University, USA SIAM Conference on Applications of Dynamical Systems 31

Sunday, May 21 Sunday, May 21 4:45-5:10 Couple Periodic-patches of a Stochastic Microscale to Predict MS28 MS29 Emergent Macroscale Dynamics Anthony J. Roberts, University of Adelaide, Dynamics of Oscillator Stochastic Dynamics Australia Populations: Patterns and 3:45 PM-5:45 PM 5:15-5:40 The Motion of a Droplet for the Dynamics on the Way to Stochastic Mass-conserving Allen-Cahn Room:Primrose B Synchrony Equation Recent progress in dynamical systems Peter W. Bates, Michigan State University, 3:45 PM-5:45 PM with ‘random’ or ‘stochastic’ effects USA; Dimitra Antonopoulou, University of continued has shown that noise is often extremely Chester, United Kingdom; Dirk Blömker, important in the analysis of many Universitaet Augsburg, Germany; Georgia models. In particular, for complex Karali, University of Crete, Greece 4:15-4:40 Connecting Hyperbolic nonlinear systems, it is necessary to Geometry to Kuramoto Oscillator develop new analytical and numerical Systems; New Classes of Gradient methods to treat stochastic models. The Phase Models and Completely Integrable Dynamics talks in this minisymposium present Jan Engelbrecht, Boston College, USA different results that all allow for a reduction of complexity of infinite- 4:45-5:10 Frequency Spiral dimensional stochastic systems, like Bertrand Ottino-Loffler, Cornell University, modulation equations, slow manifolds, USA homogenization, averaging and the 5:15-5:40 Dynamics of Weakly transition from micro- to macro-scale. We Inhomogeneous Oscillator aim at a transfer of recent techniques and Populations: Perturbation Theory methods developed in stochastic processes on Top of Watanabe–Strogatz and stochastic differential equations to Integrability a broader dynamical systems audience. Vladimir Vlasov, Istituto Italiano di Tecnologia (IIT), Italy; Michael In particular, we bring together leading Rosenblum and Arkady Pikovsky, experts in the theory and applications University of Potsdam, Germany of stochastic methods to also provide an outlook on the major challenges of reduced models for infinite-dimensional stochastic dynamics. Organizer: Christian Kuehn Technical University of Munich, Germany Organizer: Dirk Blömker Universitaet Augsburg, Germany 3:45-4:10 Stochastic Modulation Equations on Unbounded Domains Dirk Blömker, Universitaet Augsburg, Germany; Guido Schneider, University of Stuttgart, Germany; Luigi A. Bianchi, TU Berlin, Germany 4:15-4:40 Stochastic Dynamics: Data- Driven Information Extraction via Effective Reduction Jinqiao Duan, Illinois Institute of Technology, USA

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Sunday, May 21 Sunday, May 21 4:45-5:10 A Delay-Based Controller Design Using Lambert W function in a MS30 MS31 Multi-Agent Consensus Dynamics Adrian Ramirez, Min Hyong Koh, and Rifat Chaotic Communications Modal Decomposition of Sipahi, Northeastern University, USA and Radar - Part II of II Networks and Structured 5:15-5:40 Stability Charts for Continua 3:45 PM-5:45 PM Mechanical Systems Subjected to Delayed Feedback 3:45 PM-5:45 PM Li Zhang, Nanjing University of Aeronautics Room:Maybird and Astronautics, China; Gabor Stepan, For Part 1 see MS17 Room:Magpie B Budapest University of Technology and The field of chaotic communications Systems with large numbers of Economics, Hungary has seen a revival in recent years thanks coupled dynamic components may to new advances in matched filtering, feature intricacies such as component synchronization, and signal processing. heterogeneity, nonlinearities, and Many of the problems of radar are unknown couplings between components. closely related to communications, so These may manifest themselves in these advances in one of these fields complex behavior such as mode feed advances in the other. The range of localization, resonances, energy transfer talks in this minisymposium will go from between modes, and multistability. new techniques in using chaos to actual Understanding these phenomena is practical details of how to make chaos crucial in order to ensure that the work in a communications system. A complex systems can perform required particular focus will be on what is gained tasks efficiently while remain robust by using chaos instead of some random to disturbances. This section brings broad band signal. together leading experts on networks Organizer: Thomas L. Carroll and structured mechanical systems and Naval Research Laboratory, USA the talks will showcase the state-of-the- art mathematical tools in analyzing the Organizer: Ned J. Corron dynamics of such complex systems. The US Army RDECOM, USA methods will be demonstrated through 3:45-4:10 Recent Discoveries in real world applications like achieving Solvable Chaotic Systems consensus in a groups of robots, ensuring Marko S. Milosaviljevic, US Army RDECOM, attenuation of disturbances in connected USA vehicle networks, and designing observers 4:15-4:40 Nonlinear Dynamics in and controllers for multi-agent systems Optimal Communication Waveforms and continua. Ned J. Corron, US Army RDECOM, USA; Jonathan Blakely, U.S. Army Aviation Organizer: Sergei S. Avedisov and Missile Research, Development, and University of Michigan, Ann Arbor, USA Engineering Center, USA Organizer: Gabor Orosz 4:45-5:10 A Demonstration University of Michigan, Ann Arbor, USA Wireless Exact Solvable Chaotic 3:45-4:10 Nonlinear Dynamics of Communication System Vehicle Networks with Long Range Keaton Rhea, Andrew Muscha, Remington Vehicle-to-vehicle Communication Harrison, Frank Werner, and Robert Dean, Sergei S. Avedisov and Gabor Orosz, Auburn University, USA; Darren Boyd, University of Michigan, Ann Arbor, USA Marshall Space Flight Center, USA 4:15-4:40 Emergent Task Differentiation 5:15-5:40 Circuit Implementation on Network Filters of Generalized Projective Mehdi Saghafi and Harry Dankowicz, Synchronization for Bistatic Radar University of Illinois at Urbana- Applications Champaign, USA; Whitney Tabor, Chandra S. Pappu, Union College, USA; University of Connecticut, USA Benjamin C. Flores, University of Texas at El Paso, USA

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Sunday, May 21 Sunday, May 21 Sunday, May 21 MS32 MS33 MS34 Global Bifurcations and their Initiation and Suppression of Dynamics of Small Applications - Part I of II Excitation Waves Neuromorphic Networks 3:45 PM-5:45 PM 3:45 PM-5:45 PM (Biological and Biomimetic) Room:Wasatch B Room:Superior B 3:45 PM-5:45 PM For Part 2 see MS45 The theory of excitation waves in Room:Superior A The session focuses on the topics related nonlinear dissipative media play This minisymposium explores recent to global bifurcations which appear in the important role in many applications, results in synchronization and more theoretical context and various applications notably for modelling electrical excitation generally the dynamics of small (both in continuous and discrete time propagation in heart and nerves. Much experimental networks of biomimetic dynamical systems). It is well known that research is dedicated to long-term “neuronal cells” from the standpoint of the stable and unstable manifolds of saddle behaviour once the excitation waves dynamical systems. Fully synchronized and parabolic equilibria or fixed points are have been initiated. However, for the states, chimeras (partially synchronized usually embedded into the phase space applications just as important, if not more states), transients and intermediate in a very complicated way, forming, in important, is the question of how the states have all been observed. Three particular, homoclinic orbits or heteroclinic waves are initiated and/or terminated by different systems are studied: neural cycles. Moreover, small perturbations external stimuli, noise, and heterogeneity. activity in the rat neocortex, networks of these configurations may give rise This minisymposium discusses of electronic artificial neurons, and to complex structures such as finite or mathematical theory, experiment, and coupled chemical cells running the infinite sets of periodic orbits, invariant computer modelling of transient regimes Belousov-Zhabotinsky reaction, the tori, formation of Smale horseshoes, of initiation and suppression of excitation prototype excitable chemical reaction. strange attractors, etc. Such dynamical waves with a view for prevention and Although these systems are different, systems have been intensively studied using better control of cardiac arrhythmias. useful skeleton models of their dynamics analytical and numerical tools during the are strikingly similar. In particular, last 40 years. In this session research talks Organizer: Irina Biktasheva the generic Boissonade-De Kepper on homoclinic and heteroclinic bifurcations University of Liverpool, United Kingdom differential equation model for excitable are welcome as well as talks covering Organizer: Seth Weinberg chemical systems is a special case the study of the structures of stable and Virginia Commonwealth University, USA of the FitzHugh-Nagumo neuronal unstable invariant manifolds. 3:45-4:10 Fractional-Order Voltage model. Recent results presented here Organizer: Ivan Ovsyannikov Dynamics Suppresses Alternans and find common features in the role of University of Bremen, Germany Promotes Spontaneous Activity in a topology, connection strength and Minimal Cardiomyocyte Model heterogeneity in synchronization, as well Organizer: Marina Gonchenko Tien Comlekoglu and Seth Weinberg, Virginia as differences arising from differences in University of Barcelona, Spain Commonwealth University, USA cell-level dynamics. There are potential 3:45-4:10 Dynamics Near Cubic 4:15-4:40 Semianalytical Approach to applications to understanding epilepsy, Homoclinic Tangencies in Symplectic Criteria for Ignition of Excitation Waves more generally as an experimental test- Maps Burhan Bezekci, University of Exeter, United bed for analogs of brain dynamics, as Marina Gonchenko, University of Barcelona, Kingdom; Ibrahim Idris, Bayero University, well as to understanding the dynamics Spain; Sergey Gonchenko, Lobachevsky Nigeria; Radostin Simitev, University of current and future analog and State University of Nizhny Novgorod, Russia; of Glasgow, Scotland, United Kingdom; digital neuromorphic computation. A Ivan Ovsyannikov, University of Bremen, Vadim N. Biktashev, University of Exeter, combination of simulation, mathematical Germany United Kingdom and experimental work will be presented. 4:15-4:40 Splitting of Separatrices at a 4:45-5:10 Local Heterogeneities in Periodically Forced Hamiltonian-Hopf Cardiac Systems Suppress Turbulence Organizer: Harold M. Hastings Bifurcation by Generating Multi-Armed Rotors Hofstra University, USA Arturo Viero, University of Barcelona, Spain Oliver Steinbock and Zhihui Zhang, Florida 3:45-4:10 Neural Synchronization 4:45-5:10 Mixed Dynamics in Planar State University, USA During Neocortical Seizures Reversible Diffeomorphisms 5:15-5:40 Noise-Induced Effects on Daisuke Takeshita, University of Helsinki, J. Tomas Lazaro, Universitat Politecnica de Spontaneous and Spiral Wave Activity Finland; Sonya Bahar, University of Catalunya, Spain of the Biopacemaker Missouri, St. Louis, USA 5:15-5:40 On Taken’s Last Problem: Alireza Aghighi and Philippe Comtois, Times Averages for Heteroclinic Université de Montréal, Canada Attractors continued on next page Alexandre A. Rodrigues, University of Porto, Portugal 34 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 Sunday, May 21 4:15-4:40 Cooperation in Synthetic Bacterial Communities: Optimality, MS34 MS35 Fragility and Interaction Non-Additivity Ting Lu, University of Illinois, USA Dynamics of Small Gene Regulatory Networks 4:45-5:10 Excitable Toxin-Antitoxin Neuromorphic Networks and Synthetic Biology Modules Coordinated Through (Biological and Biomimetic) 3:45 PM-5:45 PM Intracellular Bottlenecks William H. Mather, Virginia Tech, USA 3:45 PM-5:45 PM Room:Wasatch A 5:15-5:40 Dynamic Ligand Synthetic biology and systems biology continued Discrimination in the Notch Signaling have benefited immensely from taking Pathway a quantitative, model-driven and theory- Sandy Nandagopal, California Institute of´ based approach, which facilitates the Technology, USA 4:15-4:40 Engineering Reaction- discovery of general design principles Diffusion Networks with Properties of and the systematic bottom-up design Neural Tissue of gene regulatory networks. Early Seth Fraden, Thomas Litschel, and Michael M. Norton, Brandeis University, USA synthetic circuits were implementations of the simplest nonlinear dynamical 4:45-5:10 Partially Synchronized systems exhibiting bistability or States in Small Networks of oscillations. In recent years, the Electrochemical Oscillators: Effect of Heterogeneities and Network development and better characterization Topology of a vast number of regulatory Istvan Z. Kiss, Saint Louis University, USA elements have enabled the successful construction of more and more 5:15-5:40 Order and Information Flow complicated systems—from logic gates in an Array of Electronic Neurons Mark Spano, Arizona State University, USA; to counter circuits to pattern formation Easwara Arumugam, Electrical Geodesics, through cell-to-cell communication. Inc., USA Deterministic and stochastic modeling are also key to a deepened understanding of the fundamental mechanisms that ensure the reliable function in noisy cellular environments, and to managing the complexity of native systems in systems biology contexts. This minisymposium brings together scientists using dynamical systems approaches to understand, design and modify regulatory networks in single cells and at the population level, as well as their interaction with the environment. Organizer: Philip Bittihn University of California, San Diego, USA Organizer: Lev S. Tsimring University of California, San Diego, USA 3:45-4:10 Using Bistability, Oscillations and Slow-Fast Dynamics to Engineer Population Density Control and Stable Coexistence of Competitive Bacterial Strains Philip Bittihn, University of California, San Diego, USA

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Sunday, May 21 Sunday, May 21 4:45-5:10 High-amplitude Stationary Dynamics, Energy Transfer and MS36 MS37 Localization in Sine-lattice Leonid Manevitch, Russian Academy Exotic Bifurcations in Fluid Energy Transport and of Sciences, Russia; Valeriy Smirnov, and Granular Dynamics - Control in Nonlinear Systems Semenov Institute of Chemical Physics, Part I of II - Part I of II Russia 5:15-5:40 Realization of Nonlinear 3:45 PM-5:45 PM 3:45 PM-5:45 PM Resonances in Multiple Modes of a Room:Magpie A Room:White Pine Microcantilever Polymer System Keivan Asadi, Ohio State University, USA; For Part 2 see MS49 For Part 2 see MS50 Snehan Peshin and Junghoon Yeom, An octet of expert researchers has been Systems with essential nonlinearity, Michigan State University, USA; Hanna assembled to describe and analyze that cannot be assessed with the help Cho, Ohio State University, USA some fascinating bifurcations recently of common perturbation approaches, discovered in dynamical systems models are very interesting theoretically, as related to fluid and granular flows. well as from viewpoint of numerous These bifurcations range from variations suggested applications. In the same Intermission time, such systems pose a number of of familiar types to new varieties of 5:45 PM-6:00 PM spectacular complexity, many of which challenges - theoretical, experimental, play key roles in determining the as well as computational The proposed evolution of the dynamical systems in minisymposium will focus on recent which they occur. Among the examples developments and challenges related to Prize Presentations - to be presented are those connected energy transfer and control of energy Juergen Moser and with walking droplets (pilot waves), distribution in essentially nonlinear J. D. Crawford vortex dynamics of viscous flows, systems. Topics will include, but will not traveling waves in fluids, granular be limited to: - Dynamics of acoustic 6:00 PM-6:15 PM mixing phenomena, coarse-grained vacua. - Energy transport in non-smooth Room:Ballroom swimmer interactions, billiards with soft systems and granular media; - Passive boundaries, and slip deformations in nonlinear non-reciprocity; - Nonlinear fluid flows. phononics; - Applications of strong and non-smooth nonlinearities for efficient Organizer: Denis Blackmore energy harvesting. New Jersey Institute of Technology, USA Organizer: Oleg Gendelman Organizer: Ivan C. Christov Technion Israel Institute of Technology, Purdue University, USA Israel Organizer: Aminur Rahman Organizer: Alexander Vakakis New Jersey Institute of Technology, USA University of Illinois, USA 3:45-4:10 Bifurcations in Walking 3:45-4:10 Energy Exchange in Strongly Droplet Dynamics Nonlinear Systems: Canonical Aminur Rahman and Denis Blackmore, New Formalism Jersey Institute of Technology, USA Oleg Gendelman, Technion Israel Institute of 4:15-4:40 Traveling Waves in Fluids: Technology, Israel; Themistoklis Sapsis, Bifurcations with Respect to the Wave Massachusetts Institute of Technology, Speed USA Ivan C. Christov, Purdue University, USA 4:15-4:40 Resonance Energy Transfer 4:45-5:10 Course-Grained Models for Between Charged Particles and Interacting Flapping Swimmers Electromagnetic Waves Anand Oza, Leif Ristroph, and Michael J. Dmitri Vainchtein, Drexel University, USA; Shelley, Courant Institute of Mathematical Anton Artemyev, University of California, Sciences, New York University, USA Los Angeles, USA; Fan Wu, Central South University, China 5:15-5:40 The Annihilation of Periodic Points and Barriers to Transport by Discontinuous ‘Slip’ Deformations in a Fluid Flow Lachlan Smith, Northwestern University, USA; Murray Rudman, Monash University, Australia; Daniel Lester, RMIT continued in next column University, Australia; Guy Metcalfe, Monash University, Australia 36 SIAM Conference on Applications of Dynamical Systems

Sunday, May 21 Monday, May 22 Monday, May 22 SP1 MS39 Juergen Moser Lecture - Recent Developments in Registration Emergent Behavior in Large Data Assimilation - Systems of Many Coupled 8:00 AM-6:15 PM Part II of II Oscillators Room:Ballroom Foyer 8:30 AM-10:30 AM 6:15 PM-7:00 PM Room:Ballroom 2 Room:Ballroom For Part 1 see MS26 Data assimilation (DA) is the process Chair: Mary Silber, University of Chicago, MS38 by which observations are incorporated USA Noise-Induced Transitions in into a forecast system to obtain a suitable Large systems of many coupled Networks estimate of reality. Although it has dynamical units are of crucial interest 8:30 AM-10:30 AM classically been applied to global weather in a host of physical, biological and prediction, DA has since been applied to technological settings. Often the Room:Ballroom 1 math biology, efficacy of drug therapies, dynamical units that are coupled exhibit Networks often display a wide variety urban planning, and more. Nevertheless, oscillatory behavior. The understanding of dynamical behaviors involving, for a central issue in DA is balancing the and analysis of these large, complex example, coexisting stable states. The high-dimensionality inherent in the systems offers many challenges. In transient dynamics responsible for models, the efficient exploitation of this talk I will introduce this topic, the transition between dynamic states the available data, and reducing errors give some examples, and describe a are often driven by a combination of naturally contained in both the model and technique for analyzing a large class of stochastic fluctuations and underlying data. This minisymposium will serve to problems of this type. The results I will nonlinear dynamics. Their behavior bridge the two communities of DA and discuss will reduce the complicated, depends on network structure, node analysis of partial differential equations high dimensional, microscopic dynamics, coupling and separation (PDE) through problems in DA. We dynamics of the full system to that or of timescales. These noise- induced propose two sessions, each one focused a low dimensional system governing transient dynamics may be quite different on the research done by one of these the macroscopic evolution of certain from the long-term behavior of the noise- two communities. The first session will ‘order parameters’. This reduction is free system. However, analysis of such consist of speakers in the area of analysis exact in the limit of large system size, behavior is crucial to understanding of PDE; they will address a certain DA i.e., N going to infinity, where N is the complex network dynamics and their algorithm based on feedback control, and number of coupled units, and can be contemporary scientific applications some of its applications, ranging from employed to discover and study all the including neuroscience and climate numerical approximations to the context macroscopic attractors and bifurcations modelling, among others. This of incomplete observations. The second of these systems. minisymposium will showcase a variety one will focus on the more applied area Edward Ott of novel approaches examining noise- of DA, with speakers discussing about University of Maryland, USA induced transitions in network dynamics. topics such as: back and forth nudging Organizer: Jennifer L. Creaser applied to geophysical flows; forecast sensitivity to observations; and balance University of Exeter, United Kingdom control of the ensemble Kalman filter. 8:30-8:55 Can Finite Size Effects in Networks Be Represented by Organizer: Vincent R. Martinez Stochastic Mean-Field Dynamics? Tulane University, USA Andreas Daffertshofer, Vrije Universiteit Amsterdam, The Netherlands Organizer: John Maclean University of North Carolina, Chapel Hill, 9:00-9:25 Designing Noisy Networks USA Claire M. Postlethwaite, University of Auckland, New Zealand; Peter Ashwin, Organizer: Cecilia F. Mondaini University of Exeter, United Kingdom Texas A&M University, USA 9:30-9:55 Large Deviations in Stochastic Hybrid Networks Paul C. Bressloff, University of Utah, USA 10:00-10:25 Noise-Induced Optimal Dynamics in Self-Organizing Adaptive continued on next page Networks Christian Kuehn, Technical University of Munich, Germany SIAM Conference on Applications of Dynamical Systems 37

Monday, May 22 Monday, May 22 9:30-9:55 Distinct Roles of Interneurons in Hippocampal Network Oscillations MS39 MS40 Songting Li, Courant Institute of Mathematical Sciences, New York Recent Developments in The Dynamics and Function University, USA; Douglas Zhou, Shanghai Data Assimilation - of Neuronal Networks - Part Jiao Tong University, China; David Cai, Part II of II II of II Shanghai Jiao Tong University, China and Courant Institute of Mathematical Sciences, 8:30 AM-10:30 AM 8:30 AM-10:30 AM New York University, USA; Jiamin Xu and Longnian Lin, East China Normal continued Room:Ballroom 3 University, China For Part 1 see MS27 10:00-10:25 The Role of Localization The dynamics of neuronal networks 8:30-8:55 Forecast Sensitivity to and Center-Surround Structure Observations and Observation Impact provide rich information regarding the in Compressive Sensory Signal for Data Assimilation Systems nature of neuronal computation and Processing Kayo Ide, University of Maryland, College information processing in the brain. Victor Barranca, Swarthmore College, USA Park, USA This minisymposium explores recent 9:00-9:25 Data Assimilation for work in the modeling and analysis Geophysical Fluids: Back and Forth of neuronal dynamics and function, Nudging (BFN) and Observers emphasizing implications on visual Didier Auroux, University of Nice, France information processing, synchronization 9:30-9:55 The Bayesian Formulation and oscillations, network connectivity, and Well-posedness of Fractional and variability from a single neuron to a Elliptic Inverse Problems neuronal network. The speakers will draw Daniel Sanz-Alonso, Brown University, USA particular attention to new mathematical 10:00-10:25 Multilevel Monte Carlo advances in characterizing the structure- Methods for Data Assimilation function relationship for complex neuronal Kody Law, Oak Ridge National Laboratory, networks and techniques for understanding USA the biophysical mechanisms underlying experimentally observed phenomena. Organizer: Songting Li Courant Institute of Mathematical Sciences, New York University, USA Organizer: Victor Barranca Swarthmore College, USA Organizer: Douglas Zhou Shanghai Jiao Tong University, China 8:30-8:55 Spatial Variation of Spike Initiation Threshold in Large Active Dendritic Arbors William Kath, Northwestern University, USA 9:00-9:25 Modeling Within and Across Area Neuronal Variability in the Visual System Chengcheng Huang, Douglas Ruff, Marlene Cohen, and Brent Doiron, University of Pittsburgh, USA

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Monday, May 22 8:30-8:55 Predicting Spatial-Temporal Monday, May 22 Dynamics Using Reservoir Computers MS41 Edward Ott, Jaideep Pathak, Zhixin Lu, Brian MS42 Hunt, and Michelle Girvan, University of Using Reservoir Computers Maryland, USA Nonlinear Aspects of Dynamical Systems Driven to Learn Dynamical Systems 9:00-9:25 Nonlinear Dynamics of 8:30 AM-10:30 AM Reservoir Computing and Prediction by Coulomb Interactions - Brian R. Hunt, University of Maryland, USA Part I of II Room:Primrose A 9:30-9:55 Qualitative Properties of 8:30 AM-10:30 AM A reservoir computer is a recurrent Large Systems of Ordinary Differential artificial neural network that is well Equations Room:Primrose B suited for learning complex dynamical Roger Brockett, Harvard University, USA; For Part 2 see MS55 systems. It operates in two different Daniel J. Gauthier, Ohio State University, Many novel clean energy devices are modes: an initial training phase USA based on nanostructured soft ionic matter where the computer parameters are 10:00-10:25 Reservoir Computing with examples including polyelectrolyte adjusted so that it can reproduce the Using Autonomous Boolean Networks membranes, acceptor/donor polymer input waveforms with high accuracy; Realized on a Field-Programmable blends, or ionic liquids. Behavior in and a prediction phase, where the Gate Array such systems is governed by competing input waveforms from the dynamical Daniel J. Gauthier, Daniel Canaday, and short-range (e.g., steric or chemical) system are turned off and output of Aaron Griffith, Ohio State University, interactions and long- range Columbic the computer is fed back to its input. USA; Nicholas Haynes, Duke University, interactions. Similar interactions For the case of a chaotic system, the USA; Otti D’Huys, Aston University, govern the properties of biological United Kingdom actual and predicted behaviors will ionic channels. These systems give rise eventually diverge, but the predicted to complex behavior, controlled by a trajectory continues to reside on the very large parameter space. Dynamical strange attractor of the original system. systems tools and bifurcation theory Thus, the reservoir computer actually are, thus, highly suitable for studying learns the underlying dynamical system. these systems. The minisymposium aims The reservoir computer consists of an to survey developments of models and input layer that is randomly connected methods in the context of electrokinetics to a recurrent network (the reservoir) and/or electrochemical type systems, followed by an output layer that is with a focus on their impacts to real life connected to the reservoir. Here, the applications ranging from chemistry to weights of the input nodes the reservoir biology. link weights are randomly chosen and fixed before training. During the Organizer: Nir Gavish training phase, only the weights to the Technion - Israel Institute of Technology, output layer are adjusted and then fixed. Israel The training is a linear optimization 8:30-8:55 The Steric Pnp-Ok Model problem and hence can be completed in Nir Gavish, Technion - Israel Institute of a short time. This minisymposium will Technology, Israel discuss the state-of-the-art in applying 9:00-9:25 Dynamics of Ions Control reservoir computers to problems of Most Biological Systems practical interest, efficient hardware Bob Eisenberg, Rush University Medical implementations, and new mathematical Center, USA results concerning how to optimize the 9:30-9:55 Energetic Variational reservoir computer prediction ability. Approaches in Transport of Ionic Particles Organizer: Daniel J. Gauthier Chun Liu, Pennsylvania State University, Ohio State University, USA USA Organizer: Edward Ott 10:00-10:25 Individual Flux Study Via University of Maryland, USA Steady-State Poisson-Nernst-Planck Systems: Effects from Boundary Conditions Mingji Zhang, New Mexico Institute of Mining and Technology, USA continued in next column SIAM Conference on Applications of Dynamical Systems 39

Monday, May 22 Monday, May 22 Monday, May 22 MS43 MS44 MS45 Multiscale Dynamics: Data- Topographic Influences on Global Bifurcations and their driven Characterization, Vegetation Patterns in Semi- Applications - Part II of II Modeling, and Control - arid Regions 8:30 AM-10:30 AM Part I of II 8:30 AM-10:30 AM Room:Wasatch B 8:30 AM-10:00 AM Room:Magpie B For Part 1 see MS32 Room:Maybird Regular spatial patterns in vegetation The session focuses on the topics related to global bifurcations which appear in the For Part 2 see MS56 growth appear at a community scale in theoretical context and various applications Multiscale and intermittent phenomena semi-arid ecosystems across the globe. (both in continuous and discrete time as well as rare events are prevalent Such patterns have been attributed dynamical systems). It is well known that in many complex systems in science to various kinds of positive feedback the stable and unstable manifolds of saddle and engineering. Data-driven methods between the individual plants and and parabolic equilibria or fixed points are play a vital role in the characterization water availability. Given the increasing usually embedded into the phase space of these systems and are particularly availability of data from satellites in a very complicated way, forming, in appealing considering the immense and other sources, we are poised to particular, homoclinic orbits or heteroclinic developments in sensor technology develop more informed models of these cycles. Moreover, small perturbations and computing power in recent years. potentially vulnerable ecosystems. As of these configurations may give rise to However, many techniques struggle to a first step, incorporating topographic complex structures such as finite or infinite separate dynamics that are fast, slow or information into modeling efforts has the sets of periodic orbits, invariant tori, rare relative to the dominant scale. This potential to improve our understanding of formation of Smale horseshoes, strange symposium explores the challenges and the role that water transport plays in the attractors, etc. Such dynamical systems innovations in data-driven methods for vegetation dynamics. have been intensively studied using estimation, prediction and control of Organizer: Punit R. Gandhi analytical and numerical tools during the multiscale dynamics. We invite speakers Ohio State University, USA last 40 years. In this session research talks working at the forefront of data-driven on homoclinic and heteroclinic bifurcations approaches, that include techniques such Organizer: Sarah Iams are welcome as well as talks covering as dimensionality reduction, compressed Harvard University, USA the study of the structures of stable and sensing, machine learning, operator 8:30-8:55 How Does Topography unstable invariant manifolds. theoretic approaches, and control, to Impact Vegetation Patterns? explore challenges and solutions for Sarah Iams, Harvard University, USA; Organizer: Ivan Ovsyannikov tackling multi- scale phenomena. Andrew J. Bernoff, Harvey Mudd College, University of Bremen, Germany USA; Karna V. Gowda, Northwestern Organizer: Eurika Kaiser University, USA; Chad M. Topaz, Organizer: Marina Gonchenko University of Washington, USA Macalester College, USA; Mary Silber, University of Barcelona, Spain University of Chicago, USA Organizer: Krithika Manohar 8:30-8:55 Birth of Discrete Lorenz University of Washington, USA 9:00-9:25 Topography and Water Attractors in Homoclinic and Transport in Semi-Arid Ecosystems Heteroclinic Tangencies 8:30-8:55 The Data Mining of Amilcare Porporato, Duke University, USA Ivan Ovsyannikov, University of Bremen, Sloppiness: Parameter Reduction for Germany Complex Dynamical Systems 9:30-9:55 Introducing Topographical Antonios Zagaris, Wageningen University Influences in the Extended-Klausmeier 9:00-9:25 Complex Dynamics of Robust and Research Centre, The Netherlands; Vegetation Model Pulse Generators in Reaction-Diffusion Ioannis Kevrekidis and William Holiday, Robbin Bastiaansen, Arjen Doelman, Systems Princeton University, USA and Martina Chirilus-Bruckner, Leiden Takashi Teramoto, Asahikawa Medical University, Netherlands University, Japan 9:00-9:25 Sparse Sensor Placement for Multiscale Phenomena 10:00-10:25 Topographic Controls on 9:30-9:55 The Geometry of Blenders in a Krithika Manohar, Eurika Kaiser, Steven Vegetation Patterns Three-dimensional Hénon-like Family Brunton, and Nathan Kutz, University of Sara Bonetti and Amilcare Porporato, Duke Stefanie Hittmeyer, Bernd Krauskopf, and Washington, USA University, USA Hinke M. Osinga, University of Auckland, New Zealand; Katsutoshi Shinohara, 9:30-9:55 Kernel Analog Forecasting Hitotsubashi University, Japan and Its Applications Zhizhen Zhao, University of Illinois, USA 10:00-10:25 Bifurcations of Degenerate Singular Cycles Alexander Lohse, University of Hamburg, Germany; Alexandre A. Rodrigues, University of Porto, Portugal 40 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 9:00-9:25 Rescuing Pulsatile Insulin Monday, May 22 Secretion by Wiggling Glucose MS46 Richard Bertram, Joseph Mckenna, MS47 Raghuram Dumpa, Nikita Mukhitov, and Non-linear Dynamics in Michael Roper, Florida State University, Dynamical Systems Endocrine Systems USA Techniques in Navier-Stokes 8:30 AM-10:30 AM 9:30-9:55 An Integrated System Flow Without Material Towards Artificial Pancreas and its Boundaries - Part I of II Room:Superior B Numerical Trials A major biomedical challenge is to Jiaxu Li, University of Louisville, USA 8:30 AM-10:30 AM understand the dynamic behaviour of 10:00-10:25 Centre Manifold Room:Superior A endocrine systems. In the pancreas, for Deformation in Impaired Ultradian For Part 2 see MS60 example, beta cells must continuously Oscillations of Glucose Regulation Homogeneous isotropic turbulence monitor and control sugar levels Benoit Huard, Maia Angelova, and Adam (HIT) is an idealized model of fluid by regulating insulin levels. Also, Bridgewater, Northumbria University, turbulence away from material United Kingdom reproduction is tightly regulated by boundaries, consisting of the Navier- dynamic hormone signals that control Stokes equation in a periodic (or spermatogenesis and the ovarian cycle infinite) domain and - usually - the in the gonads. Mathematical modelling divergence-free condition. Free of the has proven to be an important tool effect of container walls or external to understand the properties of these forces, HIT is often coined as ‘the core homeostatic systems where non-linearity, of the turbulence problem’ (Sagaut feedback regulation, modularity, and the & Cambon). A lot is known about interplay between organs (e.g. the brain the statistics of HIT at high Reynolds and the periphery) play a critical role. numbers, in particular about the cascade This is crucial for understanding both of kinetic energy from large to small healthy physiology and disease, in order scales. However, surprisingly little is to design better healthcare interventions. known about the dynamics of and the This minisymposium will bring together transition to HIT of periodic flows at experts in mathematical modelling in small and moderate Reynolds numbers, various areas of endocrinology. Our aim or about the dynamics of the cascade is to identify current challenges and process. A number of interesting outline future directions in mathematical new ideas and results have appeared models of endocrine systems, recently, such as the application of emphasising the importance of model computational dynamical systems predictions for a dynamic understanding techniques in Large Eddy Simulations of these systems in healthcare. (LES), the computation of equilibria, Organizer: Eder Zavala travelling waves and unstable periodic University of Exeter, United Kingdom orbits in two and three dimensional Kolmogorov flow, the occurrence of Organizer: Margaritis Voliotis relaminarisation events in a particular University of Exeter, United Kingdom model of HIT which show a statistical 8:30-8:55 Information Transfer in signature consistent with the escape Gonadotropin-Releasing Hormone from a chaotic saddle and the use (gnrh) Sensing and Signalling of optimisation techniques to study Margaritis Voliotis and Krasimira Tsaneva- regularity of solutions. In this session, Atanasova, University of Exeter, United we will try to give an overview of recent Kingdom; Craig McArdle, Amitesh Pratap, work in HIT and associated models and Kathryn Garner, University of Bristol, such as LES, with an emphasis on the United Kingdom transition problem and the links between transitions, dynamics and the energy transfer process.

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Monday, May 22 Monday, May 22 Monday, May 22 MS47 MS48 MS49 Dynamical Systems Dynamical Models of Plant Exotic Bifurcations in Fluid Techniques in Navier-Stokes Response to Threats and Granular Dynamics - Flow Without Material 8:30 AM-10:30 AM Part II of II Boundaries - Part I of II Room:Wasatch A 8:30 AM-10:30 AM 8:30 AM-10:30 AM Recent investigations have revealed a Room:Magpie A continued wide variety of mechanisms by which For Part 1 see MS36 plants defend against and respond to An octet of expert researchers has been Organizer: Moritz Linkmann attacks by pathogens and insects. These assembled to describe and analyze University of Rome II, Tor Vergata, Italy systems provide novel opportunities some fascinating bifurcations recently for ecosystem models to describe the discovered in dynamical systems models Organizer: Lennaert van Veen dynamics of how the defense mechanism related to fluid and granular flows. University of Ontario Institute of mediates the insult, and to obtain insight These bifurcations range from variations Technology, Canada into how the defenses have been selected of familiar types to new varieties of 8:30-8:55 Recurrent Flow Analysis in and calibrated through evolution. Such spectacular complexity, many of which Kolmogorov Flows quantitative understanding could aid in play key roles in determining the Dan Lucas, Cambridge University, United efforts to protect cultivated plant crops evolution of the dynamical systems in Kingdom; Gary Chandler and Rich against pests. This minisymposium will which they occur. Among the examples Kerswell, University of Bristol, United feature presentations on topics on this to be presented are those connected Kingdom theme ranging from plant resistance with walking droplets (pilot waves), against viral infection to signaling and 9:00-9:25 Nonlinear Energy Transfers vortex dynamics of viscous flows, and Intermittent Energy Dissipation in priming against insect herbivores via traveling waves in fluids, granular Forced Shear Flows volatile chemical release. mixing phenomena, coarse-grained Mohammad Farazmand and Themistoklis Organizer: Peter R. Kramer swimmer interactions, billiards with soft Sapsis, Massachusetts Institute of boundaries, and slip deformations in Rensselaer Polytechnic Institute, USA Technology, USA fluid flows. Organizer: Karen M. Cumings 9:30-9:55 Localized Turbulence in 2D Organizer: Denis Blackmore Kolmogorov Flows Rensselaer Polytechnic Institute, USA New Jersey Institute of Technology, USA Yoshiki Hiruta and Sadayoshi Toh, Kyoto 8:30-8:55 Mathematical Models of RNA University, Japan Interference in Plants Organizer: Ivan C. Christov 10:00-10:25 Statistics of Spatially- Konstantin Blyuss, University of Sussex, Purdue University, USA United Kingdom Periodic Turbulence Driven by Steady Organizer: Aminur Rahman Forces 9:00-9:25 Can Inducible Resistance in New Jersey Institute of Technology, USA Susumu Goto, Osaka University, Japan; Plants Cause Herbivore Aggregations? Lennaert van Veen, University of Ontario Spatial Patterns in an Inducible Plant/ 8:30-8:55 Analysis of New Walking Institute of Technology, Canada Herbivore Model Droplet Bifurcations Kurt Anderson, University of California, Denis Blackmore and Aminur Rahman, New Riverside, USA; Brian Inouye and Nora Jersey Institute of Technology, USA Underwood, Florida State University, USA 9:00-9:25 Bifurcations in a Soft Billiard 9:30-9:55 Plant Compensatory Guy Metcalfe, Monash University, Australia Regrowth and Plant Resistance 9:30-9:55 Topological Bifurcations of Effects on the Population Dynamics of Vorticity Herbivores and Plants Morten Brons, Technical University of Christopher Stieha and Brian Lerch, Case Denmark, Denmark; Morten Andersen Western Reserve University, USA; Katja and Jesper Schmidt Hansen, Roskilde Poveda, Cornell University, USA; Karen University, Denmark; Matthias Heil, Abbott, Case Western Reserve University, University of Manchester, United Kingdom USA 10:00-10:25 Surprisingly Persistent 10:00-10:25 Exploring Fitness Effects Structures Predicted by Piecewise of Plant Defenses Against Insect Isometries Herbivores Richard M. Lueptow, Paul Park, Zafir Zaman, Karen M. Cumings, Peter R. Kramer, and Mengqi Yu, Paul Umbanhowar, and Julio Bradford C. Lister, Rensselaer Polytechnic M. Ottino, Northwestern University, USA Institute, USA 42 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 9:30-9:55 Nonlinear Energy Transfers Monday, May 22 in Fluid-Structure Interaction MS50 of a Cylinder with An Internal IP2 Attachment Energy Transport and Antoine Blanchard and Lawrence Bergman, Pattern Formation in the Control in Nonlinear Systems University of Illinois at Urbana- Drylands: Vegetation - Part II of II Champaign, USA; Alexander Vakakis, Patterns in Mathematical University of Illinois, USA 8:30 AM-10:30 AM Models and in Satellite 10:00-10:25 Extreme Control of Images of the Horn of Africa Room:White Pine Impulse Transmission by Cylindrical For Part 1 see MS37 Phononic Crystals 11:00 AM-11:45 AM Rajesh Chaunsali, Eunho Kim, Matthew Systems with essential nonlinearity, Room:Ballroom Toles, and Jinkyu Yang, University of that cannot be assessed with the help Washington, USA Chair: Edgar Knobloch, University of of common perturbation approaches, California, Berkeley, USA are very interesting theoretically, as well as from viewpoint of numerous An awe-inspiring example of suggested applications. In the same Coffee Break spontaneous pattern formation appears in the distribution of vegetation in some time, such systems pose a number of 10:30 AM-11:00 AM challenges - theoretical, experimental, dry-land environments. Examples from as well as computational The proposed Room:Golden Cliff Africa, Australia and the Americas minisymposium will focus on recent reveal vegetation congregated in stripe- developments and challenges related to like bands, alternating with striking energy transfer and control of energy regularity with bands of bare soil. A distribution in essentially nonlinear typical length scale for such patterns is systems . Topics will include, but will ~100 m; they may be readily surveyed not be limited to: - Dynamics of acoustic in Google Maps. The typical time scale vacua. - Energy transport in non-smooth for pattern evolution, however, is ~100 systems and granular media; - Passive years, so investigations of dynamics are nonlinear non-reciprocity; - Nonlinear a bit thwarted, with only a few early data phononics; - Applications of strong and points provided by aerial photographs non-smooth nonlinearities for efficient from the 1950s. These ecosystems energy harvesting. represent some of Earth’s most vulnerable under threats to desertification, Organizer: Oleg Gendelman and ecologists have suggested that the Technion Israel Institute of Technology, patterns, easily monitored by satellites, Israel may tell us something about a region’s Organizer: Alexander Vakakis possible stage of collapse. This is an University of Illinois, USA attractive idea, especially to us pattern formation researchers who want to 8:30-8:55 Nonlinear Mechanisms work on problems that have potential of the 2D Energy Redirection and Absorption in Mechanical Systems impact. My talk consists of two parts. Subject to the External Loading In the first, I describe how one proposed Yuli Starosvetsky, Technion - Israel Institute early warning sign, related to vegetation of Technology, Israel pattern morphology, can be framed mathematically in terms of an equivariant 9:00-9:25 Tailoring Dispersion Characteristics in Next-Generation bifurcation problem, and then probed by Metastructures a systematic analysis of models. In the Alper Erturk, Georgia Institute of second, I turn to investigations of image Technology, USA data, focusing on our preliminary studies of vegetation patterns in the Horn of Africa. The goal of this presentation is to highlight the potential for models to be confronted by data, and vice versa. Mary Silber University of Chicago, USA

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Monday, May 22 Monday, May 22 Monday, May 22 Lunch Break MS51 MS52 11:45 AM-1:15 PM Novel Applications Stochastic Analysis with Attendees on their own of Discrete Maps in Applications in Biology and Neuroscience Evolutionary Dynamics - 1:15 PM-3:15 PM Part I of II Mentoring Program Room:Ballroom 1 1:15 PM-3:15 PM 12:00 PM-1:00 PM Although discrete maps have long Room:Ballroom 2 Room:Primrose A been a recognized tool for analyzing For Part 2 see MS65 dynamics in neuroscience, recent work Chair: Emily Stone, University of Montana, Stochastic modeling of biological has extended both the kinds of models USA problems has become an extremely being investigated and the ways in which popular area of research. These new The conference organizers are hosting a these maps are applied. Models under applications call for the development mentoring event for women grad students consideration describe dynamics at of new analysis techniques to interpret and post docs at the conference. The disparate spatial and temporal scales and results and form hypotheses. The early career women will be matched include single neuron models, molecular presentations in this minisymposium with a mentor based loosely on research networks, large neuronal networks, span a broad array of problems from area. During a brown bag lunch held on and firing rate models. In these high- this area with particular emphasis on Monday, the mentors and mentees will dimensional systems, discrete maps applications of large deviations theory, meet for introductions and conversation. are defined to represent key dynamical evolutionary dynamics, and applied We hope that this will facilitate more features of the full models, and analysis stochastic analysis for molecular “vertical integration” at the conference, of bifurcations of these maps provides dynamics and gene expression. The aim which in turn will strengthen the new ways of understanding bifurcations is to showcase the recent advances in community of women academics and in the higher dimensional systems they the analytical and numerical techniques researchers in Applied Dynamical represent. This session will present developed for stochastic dynamical Systems. current results in the applications of systems and their impact on biological An opportunity to participate in this event maps arising in neuroscience. applications. was provided during the registration process. Organizer: Cecilia Diniz Behn Organizer: Lora Billings Colorado School of Mines, USA Montclair State University, USA Organizer: Casey Diekman Organizer: Ilya Timofeyev New Jersey Institute of Technology, USA University of Houston, USA 1:15-1:40 A Map-Based Approach to 1:15-1:40 Rare Events Reconstruction Understanding Circadian Modulation of Most Likely Evolutionary Paths for of Sleep Bacterial Populations Cecilia Diniz Behn and Kelsey Kalmbach, Ilya Timofeev, Robert Azencott, and Brett Colorado School of Mines, USA; Victoria Geiger, University of Houston, USA Booth, University of Michigan, USA 1:45-2:10 Deterministic and 1:45-2:10 Entrainment Maps: A New Stochastic Effects in the Assembly of Tool for Understanding Properties of Multi-species Microbial Communities Circadian Oscillators Jeff Gore, Massachusetts Institute of Casey Diekman and Amitabha Bose, New Technology, USA Jersey Institute of Technology, USA 2:15-2:40 Large Deviations for 2:15-2:40 Globally Attracting Gaussian Processes with Delay Synchrony in a Network of Oscillators William Ott, University of Houston, USA with Strong Inhibitory Pulse Coupling Carmen Canavier, Louisiana State University 2:45-3:10 Gene Expression Dynamics Health Sciences Center, USA; Ruben with Stochastic Bursts: Exact Results for a Coarse-Grained Model Tikidji-Hamburyan, George Washington University, USA Charles R. Doering, University of Michigan, Ann Arbor, USA 2:45-3:10 Farey Sequences in Periodically Forced 2-Dimensional Integrate-and-Fire Models Albert Granados, Technical University of Denmark, Denmark; Gemma Huguet, Universitat Politecnica de Catalunya, Spain 44 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 Monday, May 22 2:15-2:40 A Quasi-Lagrangian Approach to Scalar Transport in MS53 MS54 Complex Flows Larry Pratt, Woods Hole Oceanographic Dynamics of Systems with Waves, Scales, and Institution, USA; Roy Barkan, University Frictional Contact - Towards Balances in Geophysical of California, Los Angeles, USA; Irina Sptially Extended Systems - Fluid Flow - Part I of II Rypina, Woods Hole Oceanographic Institution, USA Part I of II 1:15 PM-3:15 PM 2:45-3:10 Nonuniqueness of Weak 1:15 PM-3:15 PM Room:Primrose A Solutions to the SQG Equation Room:Ballroom 3 For Part 2 see MS67 Vlad C. Vicol, Princeton University, USA For Part 2 see MS66 Geophysical flows comprise a broad There has been a recent resurgence range of spatio-temporal scales and of interest in the nonlinear dynamics associated wave phenomena. Regime of mechanical systems with frictional separation is often possible formally contact. Phenomena such as the Painleve via multi-scale analysis into balanced paradox, set valued friction laws and motion, and waves. A variety of extended models of stick-slip behaviour averaging and model reduction using rate-and-state friction laws have techniques are used to obtain effective given rise to new problems within equation for the larger scale motions. nonsmooth and multiple timescale A full theoretical justification is often dynamical systems. Example problems available for simple or idealized models studied will include applications from only. General theoretical results remain gas turbine and automotive engineering, a challenge, but help validate and haptic sensors such as rats whiskers to the improve current numerical weather dynamics of DNA and other mollecular and climate prediction models. In this structures. A particular focus of this minisymposium, recent advances in minisymposium will be the move away mathematical analysis of geophysical from theories of point stick-slip contact flow phenomena will be discussed, to dynamics associated with coupled ranging from variational structures, tangential and normal degrees of freedom multiscale systematics, to existence and spatially extended contact. Theory theorems and error estimation. and applications will be discussed hand Organizer: Jens Rademacher in hand. University of Bremen, Germany Organizer: Alan R. Champneys Organizer: Marcel Oliver University of Bristol, United Kingdom Jacobs University Bremen, Germany 1:15-1:40 Overview of Models for 1:15-1:40 Optimal Balance via Impact and Friction - Oblique and Adiabatic Invariance of Approximate Spatially Extended Systems Slow Manifolds Alan R. Champneys and Thbaut Putelat, Marcel Oliver, Jacobs University Bremen, University of Bristol, United Kingdom Germany 1:45-2:10 On the Regularization of 1:45-2:10 Multiscale Asymptotics for Impact Without Collision: The Painlevé the Madden-Julian Oscillation and Paradox and Compliance Tropical-extratropical Interactions S. John Hogan, University of Bristol, United Shengqian Chen, University of Wisconsin, Kingdom; Kristian U. Kristiansen, Technical Madison, USA; Andrew Majda, Courant University of Denmark, Denmark Institute of Mathematical Sciences, New 2:15-2:40 Canards in Stiction: On York University, USA; Samuel Stechmann, Solutions of a Friction Oscillator by University of Wisconsin, Madison, USA Regularization Elena Bossolini, Morten Brons, and Kristian U. Kristiansen, Technical University of Denmark, Denmark 2:45-3:10 Dynamic Jamming Singularity of Mechanical Systems with Muliple Point Contacts continued in next column Peter L. Varkonyi, Budapest University of Technology and Economics, Hungary SIAM Conference on Applications of Dynamical Systems 45

Monday, May 22 Monday, May 22 2:15-2:40 Model Order Reduction for Stochastic Dynamical Systems with MS55 MS56 Continuous Symmetries Nonlinear Aspects of Saviz Mowlavi and Themistoklis Sapsis, Multiscale Dynamics: Data- Massachusetts Institute of Technology, Dynamical Systems Driven driven Characterization, USA by Coulomb Interactions - Modeling, and Control - Part 2:45-3:10 Non-Intrusive Data Driven Part II of II II of II Reduced-Order Modeling Via 1:15 PM-3:15 PM Loewner Framework 1:15 PM-3:15 PM Benjamin Peherstorfer, Massachusetts Room:Primrose B Room:Maybird Institute of Technology, USA; Serkan Gugercin, Virginia Tech, USA; Karen For Part 1 see MS42 For Part 1 see MS43 E. Willcox, Massachusetts Institute of Many novel clean energy devices are Multiscale and intermittent phenomena Technology, USA based on nanostructured soft ionic matter as well as rare events are prevalent in with examples including polyelectrolyte many complex systems in science and membranes, acceptor/donor polymer engineering. Data-driven methods play a blends, or ionic liquids. Behavior in vital role in the characterization of these such systems is governed by competing systems and are particularly appealing short-range (e.g., steric or chemical) considering the immense developments interactions and long- range Columbic in sensor technology and computing interactions. Similar interactions power in recent years. However, many govern the properties of biological techniques struggle to separate dynamics ionic channels. These systems give rise that are fast, slow or rare relative to the to complex behavior, controlled by a dominant scale. This symposium explores very large parameter space. Dynamical the challenges and innovations in data- systems tools and bifurcation theory driven methods for estimation, prediction are, thus, highly suitable for studying and control of multiscale dynamics. We these systems. The minisymposium aims invite speakers working at the forefront to survey developments of models and of data-driven approaches, that include methods in the context of electrokinetics techniques such as dimensionality and/or electrochemical type systems, reduction, compressed sensing, machine with a focus on their impacts to real life learning, operator theoretic approaches, applications ranging from chemistry to and control, to explore challenges biology. and solutions for tackling multi- scale Organizer: Nir Gavish phenomena. Technion - Israel Institute of Technology, Organizer: Eurika Kaiser Israel University of Washington, USA 1:15-1:40 Self-assembled Structures in Organizer: Krithika Manohar Copolymer-solvent Mixtures University of Washington, USA Karl Glasner, University of Arizona, USA; Saulo Orizaga, University of Arizona, USA 1:15-1:40 A Geometric Approach to Dynamical Multiscale Model-Order 1:45-2:10 Quenched Dynamics in the Reduction Symmetric Multicomponent Fch Pierre F. Lermusiaux and Florian Feppon, Keith Promislow and Qiliang Wu, Michigan Massachusetts Institute of Technology, USA State University, USA 1:45-2:10 Data-driven Probability 2:15-2:40 Self-Organized Patterns in Density Function Equations for High- Networks of Electrochemical Reactions dimensional Stochastic Dynamical Michael Sebek and Istvan Z. Kiss, Saint Louis Systems University, USA Daniele Venturi, University of California, 2:45-3:10 Dynamics and Bifurcations in Santa Cruz, USA a Model for Organic Photovoltaic Cells Alon Z. Shapira, Ben-Gurion University of the Negev, Israel; Nir Gavish, Technion - Israel Institute of Technology, Israel; Arik Yochelis, Ben Gurion University, Israel continued in next column 46 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 1:15-1:40 Assessing the Observability Monday, May 22 of Complex Networks: A Nonlinear MS57 Theory MS58 Christophe Letellier, Normandie Université, Observing and Controlling France Waves and Patterns Complex Networks 1:45-2:10 Inference of Dynamics from 1:15 PM-3:15 PM 1:15 PM-3:15 PM Network Observations Room:Wasatch B Timothy Sauer, George Mason University, Room:Magpie B USA - Physica D, Elsevier This minisymposium presents new A complex network is the result of advances in the theory of nonlinear 2:15-2:40 Using Delay Coordinates waves and patterns for a range of model couplings between dynamical units for Quantifying Estimability of Model equations, posed on both discrete and (more or less complex themselves Parameters and State Variables from and which can produce, already Observed Time Series continuous spatial domains. when isolated, more or less complex Ulrich Parlitz, Jan Schumann-Bischoff, and Organizer: Hermen Jan Hupkes behaviors). Such complex networks Stefan Luther, Max Planck Institute for University of Leiden, The Netherlands can be identified in biological, Dynamics and Self-Organization, Germany 1:15-1:40 Wave Propagation in Models environmental, social, economic 2:45-3:10 Coupling Optimization of mRNA Localization systems but also in power grids, Between Dynamical Units Using Veronica M. Ciocanel, Bjorn Sandstede, and among others. The complexity of these Ansatz Library and Global Modelling Kimberly Mowry, Brown University, USA networks make difficult their analysis of Complex Network 1:45-2:10 Nondegeneracy of because theoretically the number Claudia Lainscsek, Salk Institute for Biological Studies, USA; Mark Spano, Antiperiodic Standing Waves for of variables to measure (and so the Fractional Nonlinear Schrödinger quantity of data to investigate) is quite Arizona State University, USA; Christophe Letellier, Normandie Université, France; Equations large. There are many problems induced Terrence Sejnowski, Salk Institute for Kyle Claassen and Mathew Johnson, by these properties, among which: - Is Biological Studies, USA University of Kansas, USA there a reduced number of variables 2:15-2:40 Traveling Waves in Diatomic to measure which would allow a full Fermi-Pasta-Ulam-Tsingou Lattices observability of the network dynamics? Timothy E. Faver and Doug Wright, Drexel - How are measured variables related University, USA to the coupling between the dynamical 2:45-3:10 The Maslov Index and the units? - Is it possible to get a global Spectra of Second Order Elliptic model from data produced by such a Operators network? Has this global model a lower Selim Sukhtaiev, University of Missouri, USA dimension than the original network? - How are the variable of a reduced model related to the variables providing a full observability of the network dynamics? - When a model structure is available for a given network, is it possible to estimate the parameter values (estimability/identificability)? - Is it possible to recover the dynamics of non-measured units? All these questions are related to observability and modeling of complex networks. Each contributed talk will address one or more of these questions, and should try to end by promoting an application of the discussed techniques on real data. Organizer: Christophe Letellier Normandie Université, France

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Monday, May 22 Monday, May 22 Organizer: Lennaert van Veen University of Ontario Institute of Technology, MS59 MS60 Canada Dynamical Systems with Dynamical Systems 1:15-1:40 Extreme Growth of Enstrophy Large Transients Techniques in Navier- in Incompressible Flows Diego Ayala, McMaster University, Canada 1:15 PM-3:15 PM Stokes Flow without Material 1:45-2:10 Energy Flux Enhancement Room:Superior B Boundaries - Part II of II via Triad Fourier Phase Dynamics in Chaotic transients play a fundamental role 1:15 PM-3:15 PM PDEs Brendan Murray and Miguel Bustamante, in many dynamical systems particularly Room:Superior A when their duration is so long that the University College Dublin, Ireland; For Part 1 see MS47 possibly regular dynamics which is finally Michele Buzzcotti and Luca Biferale, Homogeneous isotropic turbulence (HIT) University of Rome II, Tor Vergata, Italy the attractor would not be reached in a is an idealized model of fluid turbulence reasonable time interval. It is shown that 2:15-2:40 Computer Assisted Proof for away from material boundaries, such dynamics is a typical property of the Navier-Stokes Equations: Existence consisting of the Navier-Stokes equation high-dimensional systems such as fluid of Periodic Orbits in a Taylor-Green in a periodic (or infinite) domain and - Flow dynamical systems as well as the climate usually - the divergence-free condition. Maxime Breden, Ecole Normale Superieure system. The aim of this minisymposium Free of the effect of container walls or Paris-Saclay, France and Universite Laval, is to discuss methods how to identify and external forces, HIT is often coined as Canada; Jan-Philippe Lessard, Universite characterize such long transients, and how ‘the core of the turbulence problem’ de Laval, Quebec, Canada; Jan Bouwe Van to elucidate their impact on the overall (Sagaut & Cambon). A lot is known Den Berg, VU University, Amsterdam, dynamics. about the statistics of HIT at high Netherlands; Lennaert van Veen, University of Ontario Institute of Technology, Canada Organizer: Ksenia Guseva Reynolds numbers, in particular about University of Oldenburg, Germany the cascade of kinetic energy from large 2:45-3:10 The Onset of Turbulence to small scales. However, surprisingly in Large Eddy Simulation of Box Organizer: James A. Yorke little is known about the dynamics of Turbulence University of Maryland, USA and the transition to HIT of periodic Lennaert van Veen, University of Ontario Institute of Technology, Canada; Tatsuya 1:15-1:40 Probing the Edge of Chaos in flows at small and moderate Reynolds Fluid Dynamics Yasuda, Imperial College London, United numbers, or about the dynamics of the Kingdom; Genta Kawahara and Susumu James A. Yorke, University of Maryland, USA cascade process. A number of interesting Goto, Osaka University, Japan 1:45-2:10 State Space Structures of new ideas and results have appeared Decaying Shear Turbulence recently, such as the application of Tobias M. Schneider, École Polytechnique computational dynamical systems Fédérale de Lausanne, Switzerland techniques in Large Eddy Simulations 2:15-2:40 Melancholia States in the (LES), the computation of equilibria, Climate System travelling waves and unstable periodic Valerio Lucarini and Tamas Bodai, University orbits in two and three dimensional of Hamburg, Germany Kolmogorov flow, the occurrence of 2:45-3:10 Inertial Particles in relaminarisation events in a particular Turbulence: Long Transients Due to the model of HIT which show a statistical History Force signature consistent with the escape Ksenia Guseva, University of Oldenburg, from a chaotic saddle and the use Germany; Anton Daitche, University of optimisation techniques to study of Münster, Germany; Ulrike Feudel, regularity of solutions. In this session, University of Oldenburg, Germany; Tamas we will try to give an overview of recent Tel, Eötvös Loránd University, Hungary work in HIT and associated models such as LES, with an emphasis on the transition problem and the links between transitions, dynamics and the energy transfer process. Organizer: Moritz Linkmann University of Rome II, Tor Vergata, Italy

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Monday, May 22 1:45-2:10 Empirical Dynamics: Monday, May 22 An Equation-Free Approach for Understanding the Nonlinear MS62 MS61 Complex Systems Found in Nature Challenges and George Sugihara, University of San Diego, Dynamics of Coupled Opportunities of Equation- USA Networks and their free Modeling for Biological 2:15-2:40 Data-Driven Discovery Applications Systems of Dynamical System Models for Biological Networks Using Sparse 1:15 PM-3:15 PM 1:15 PM-3:15 PM Selection and Information Criteria Room:Magpie A Niall M. Mangan, Nathan Kutz, and Steven Room:Wasatch A Coupled networks with various topologies Brunton, University of Washington, USA; Data-driven, equation-free techniques are Joshua L. Proctor, Institute for Disease are present in many complex biological gaining substantial traction in the analysis Modeling, USA systems, engineering, neuroscience, and modeling of complex systems. physics, lasers, and energy systems. 2:45-3:10 Data-Driven Models of Depending on the particular topology These techniques construct models on Large-Scale, High-Dimensional measurement data directly, making Neural Recordings and the type of coupling, such systems them well suited to describe systems for Bingni W. Brunton, University of can exhibit a variety of different which the governing equations are either Washington, USA dynamical regimes, including partial partially known or heuristically posited. and total synchronisation, as well In the life sciences, complex systems as the appearance of chimera states. without a standard set of governing A major challenge in the analysis of equations include neuroscience, infectious such systems is the development of disease spread, metabolic/regulatory tractable and computationally efficient networks, and ecological networks. With mathematical models that can provide a the rapidly declining costs of sensors and comprehensive description of network storage space, datasets of escalating size dynamics. Of particular importance to are being gathered from these domains. applications is identifying how individual Equation-free techniques enable the parameters characterising the network analyses of these large-scale, high- topology and the coupling affect long- dimensional datasets and characterize term collective behaviour. The speakers them as nonlinear, parameterized and of this minisymposium will present multi-scale biological systems. This the latest developments in modelling minisymposium brings together leading and mathematical analysis of coupled experts who are integrating ideas from networks arising in different applications equation-free techniques with data from areas. a wide range of biological domains. The Organizer: Yuliya Kyrychko presentations will lead to broad discussion University of Sussex, United Kingdom of the challenges and opportunities in 1:15-1:40 Coherence-Resonance applying these data-driven dynamical Chimeras in a Neural Network modeling techniques to understanding Anna Zakharova, Institute of Theoretical biological systems. Physics, Berlin, Germany Organizer: Joshua L. Proctor 1:45-2:10 Heteroclinic Switching Institute for Disease Modeling, USA Between Chimeras Christian Bick, University of Oxford, United Organizer: Bingni W. Brunton Kingdom University of Washington, USA 2:15-2:40 Flexible Information 1:15-1:40 On Equation-Free Modeling Processing in Complex Networks for Large-Scale Infectious Disease Christoph Kirst, Rockefeller University, USA Data Joshua L. Proctor, Institute for Disease 2:45-3:10 Analysis of Cryptocurrencies Modeling, USA Networks Using Google Trends Data Aleksandra Ross, University of Sussex, United Kingdom

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Monday, May 22 Monday, May 22 3:45-4:10 Emerging Models of Resilience: Introduction MS63 Coffee Break Katherine Meyer, University of Minnesota, USA Recent Advances in 3:15 PM-3:45 PM 4:15-4:40 Information, Order and Room:Golden Cliff Stochastic Analysis on Non- the Resilience of Living Natural and equilibrium Systems Human Systems 1:15 PM-3:15 PM James Wilson, University of Maine, USA; Carl P. Simon, University of Michigan, Room:White Pine MS64 USA Non-equilibrium systems such as the Emerging Models of 4:45-5:10 A Flow-Kick Framework for systems under external forces or time Resilience Exploring Resilience Alanna Hoyer-Leizel, Mount Holyoke dependent systems that lack a stationary 3:45 PM-5:45 PM distributions are naturally arising in the College, USA; Sarah Iams, Harvard real physics, chemistry, biology, and Room:Ballroom 1 University, USA; Ian Klasky, Victoria ocean and atmospheric science. There Lee, and Stephen Ligtenberg, Bowdoin This minisymposium brings dynamical College, USA; Katherine Meyer, have been rapid advances in researching approaches for quantifying resilience University of Minnesota, USA; Mary Lou of non-equilibrium systems for the last together with broader issues of modeling Zeeman, Bowdoin College and Cornell decades of years, either from theoretic resilience in socio-ecological systems. University, USA or practical viewpoints. The object of Resilience arises as an important concept 5:15-5:40 Emergence and Resilience this minisymposium is to bring together in fields as diverse as natural resource of a New Alternative State in the Gulf a group of experts to showcase several management, medicine, and economics. of Maine new aspects of stochastic analysis on Often described as a system’s ability to Steven Dudgeon, California State University, non-equilibrium systems and their absorb change and disturbance while Northridge, USA; Peter Petraitis, applications, with the aim of transferring maintaining its basic structure and University of Pennsylvania, USA new interdisciplinary techniques in function, resilience might be desirable spectral analysis, probabilistic dynamics (e.g. resilience of a fishery to harvests) or and statistical mechanics and providing something to be overcome (e.g. resilience an glimpse on the future challenges of of a disease in the face of treatment). As this area. qualitative frameworks for thinking about Organizer: Yiwei Zhang resilience mature, quantitative tools are Huazhong University of Science & just developing. With rising interest in Technology, China quantifying resilience, dynamical systems provides a natural framework for devising Organizer: Jinqiao Duan and comparing potential measures. Illinois Institute of Technology, USA Simple quantities such as the width of an 1:15-1:40 The Emergent Levy Behavior attractor basin or distance to a threshold of Stochastic Burst Phenomenon in in state space might capture resilience to Single-cell Gene Expression isolated disturbances, while the distance Chen Jia and Michael Zhang, University to a bifurcation in parameter space can of Texas at Dallas, USA; Hong Qian, indicate resilience to parameter changes. University of Washington, USA At a different extreme, expected escape 1:45-2:10 Analysis and Simulation of time under a stochastic diffusion process Multiscale Stochastic Intracellular has been used to describe resilience Bio-chemical Reacting Networks to continual random perturbation. By Di Liu, Michigan State University, USA contrast, in this minisymposium we focus 2:15-2:40 Synchronization and on systems that are shaped by discrete, Survival of Connected Bacterial repeated shocks. We present novel tools Populations for exploring resilience to disturbances Shreyas Gokhale and Arolyn Conwill, such as climate extremes and recurrent Massachusetts Institute of Technology, fires, and consider implications for USA; Tanvi Ranjan, Harvard University, resource management. USA; Jeff Gore, Massachusetts Institute of Technology, USA Organizer: Katherine Meyer 2:45-3:10 Mathematical Modelling of University of Minnesota, USA Organelle Transport in Living Cells Congping Lin, Huazhong University of Science & Technology, China continued in next column 50 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 Monday, May 22 Monday, May 22 MS65 MS66 MS67 Stochastic Analysis with Dynamics of Systems with Waves, Scales, and Applications in Biology and Frictional Contact - Towards Balances in Geophysical Evolutionary Dynamics - Sptially Extended Systems - Fluid Flow - Part II of II Part II of II Part II of II 3:45 PM-5:15 PM 3:45 PM-5:45 PM 3:45 PM-5:15 PM Room:Primrose A Room:Ballroom 2 Room:Ballroom 3 For Part 1 see MS54 For Part 1 see MS52 For Part 1 see MS53 Geophysical flows comprise a broad Stochastic modeling of biological There has been a recent resurgence range of spatio-temporal scales and problems has become an extremely of interest in the nonlinear dynamics associated wave phenomena. Regime popular area of research. These new of mechanical systems with frictional separation is often possible formally applications call for the development contact. Phenomena such as the via multi-scale analysis into balanced of new analysis techniques to interpret Painleve paradox, set valued friction motion, and waves. A variety of results and form hypotheses. The laws and extended models of stick- averaging and model reduction presentations in this minisymposium slip behaviour using rate-and-state techniques are used to obtain effective span a broad array of problems from friction laws have given rise to new equation for the larger scale motions. this area with particular emphasis on problems within nonsmooth and A full theoretical justification is often applications of large deviations theory, multiple timescale dynamical systems. available for simple or idealized models evolutionary dynamics, and applied Example problems studied will include only. General theoretical results remain stochastic analysis for molecular applications from gas turbine and a challenge, but help validate and dynamics and gene expression. The aim automotive engineering, haptic sensors improve current numerical weather is to showcase the recent advances in such as rats whiskers to the dynamics of and climate prediction models. In this the analytical and numerical techniques DNA and other mollecular structures. A minisymposium, recent advances in developed for stochastic dynamical particular focus of this minisymposium mathematical analysis of geophysical systems and their impact on biological will be the move away from theories flow phenomena will be discussed, applications. of point stick-slip contact to dynamics ranging from variational structures, associated with coupled tangential multiscale systematics, to existence Organizer: Lora Billings and normal degrees of freedom and theorems and error estimation. Montclair State University, USA spatially extended contact. Theory and Organizer: Jens Rademacher Organizer: Ilya Timofeyev applications will be discussed hand in University of Bremen, Germany University of Houston, USA hand. Organizer: Marcel Oliver 3:45-4:10 Metastability and Intrinsic Organizer: Alan R. Extinction Risk in Finite, Interacting Jacobs University Bremen, Germany Populations Champneys 3:45-4:10 Averaging, Large Deviations, Sebastian Schreiber, University of University of Bristol, United Kingdom and Stochastic Parameterization in a California, Davis, USA 3:45-4:10 Nonlinear Dynamic Slow-fast two-box Ocean Model Response Predictions of Aeroengine Ian Grooms and William Barham, University 4:15-4:40 A Kinetic Theory of Birth, Components with Frictional Death, and Fission of Age-Structured of Colorado Boulder, USA Interfaces Populations 4:15-4:40 Inertial Particles in a Vortical Norbert Hoffmann, Christophe Tom Chou, University of California, flow: Dynamics and Data Schwingschakl, and Loic Salles, Imperial Los Angeles, USA; Chris Greenman, Chris Jones, University of North Carolina, College London, United Kingdom University of East Anglia, United Chapel Hill, USA; Colin Guider, University Kingdom 4:15-4:40 Frictional Instabilities and of North Carolina at Chapel Hill, USA Squeak in Soft Contacts 4:45-5:10 Modeling the Dynamics 4:45-5:10 Toward Understanding of Interacting Particles by Means of Daniele Dini, Imperial College London, the Multi-Scale Coupling in Global Stochastic Networks United Kingdom Oceanic Flows Maria K. Cameron, University of Maryland, 4:45-5:10 The Rats Whiskers - Hussein Aluie and Mahmoud Sadek, USA Transduction of Stick-Slip Dynamics University of Rochester, USA; Matthew Via a Tapered Rod 5:15-5:40 Stochastic Population Hecht, Los Alamos National Laboratory, Models: The Dynamics of Invasion Maysam Oldazimi and Cornelius Schwartz, USA; Geoffrey Vallis, University of Exeter, and Extinction University of Tübingen, Germany; Thbaut United Kingdom Lora Billings, Eric Forgoston, and Garrett Putelat, University of Bristol, United Nieddu, Montclair State University, USA Kingdom SIAM Conference on Applications of Dynamical Systems 51

Monday, May 22 Monday, May 22 Monday, May 22 MS68 MS69 MS70 Recent Advances in Slow- Advances in Infectious Conceptual and Predictive Fast Dynamics - Part I of II Disease Modeling - Models in Ecology 3:45 PM-5:45 PM Part I of II 3:45 PM-5:45 PM Room:Primrose B 3:45 PM-5:45 PM Room:Magpie B For Part 2 see MS81 Room:Maybird Mathematical Ecology has a long history Multiple timescales are prominent in a For Part 2 see MS82 dating back to the early twentieth century. number of application areas, in particular Infectious diseases are spreading In 1980, the National Science Foundation in neuroscience. Mathematical models geographically faster now than ever established a set of Long Term Ecological that incorporate multiple timescales can before, posing a continuing threat to Research (LTER) sites now able to reproduce many experimentally observed daily life. Mathematical modeling document and analyze environmental neuronal rhythms, such as spiking, has become an important tool in change over long time periods and diverse bursting, amplitude-modulated bursting investigating infections, providing ecosystems. For thirty-five years the data and mixed-mode oscillations, to name a key insights into infection dynamics collected at these sites has been used to few. This two-part minisymposium will and spread at both the within-host and develop and refine both conceptual and present recent work on slow-fast dynamics epidemiological scales. The primary predictive mathematical models. This in ODEs and spatially-extended systems. goal of this minisymposium is to minisymposium presents some recent In these examples, phenomena such as provide a platform for discussion of developments from two of the LTER sites: canard solutions and delayed bifurcations mathematical models of infectious Konza Prairie in Kansas and Cedar Creek are found to organise non-trivial dynamics disease dynamics and provide a broad Ecosystem Science Reserve in Minnesota. that can be related to various neuronal perspective on the strengths, and Organizer: Richard McGehee behaviors of single neurons, coupled weaknesses, of disease modeling. neurons and populations of neurons. University of Minnesota, USA Organizer: Alun Lloyd Organizer: Erik Van Vleck Organizer: Daniele Avitabile North Carolina State University, USA University of Nottingham, United Kingdom University of Kansas, USA Organizer: Jan Medlock 3:45-4:10 Stability of Tree-Grass Organizer: Mathieu Desroches Oregon State University, USA Interactions under Woody Inria Paris-Rocquencourt, France 3:45-4:10 After the Honeymoon, the Encroachment Organizer: Vivien Kirk Divorce: Unexpected Outcomes of Nathaniel A. Brunsell and Erik Van Vleck, University of Kansas, USA; Jesse Nippert, University of Auckland, New Zealand Disease Control Measures Alun Lloyd, Brandon Hollingsworth, Kansas State University, USA; Maged 3:45-4:10 Three-Timescale Dynamics: and Fred Gould, North Carolina State Nosshi, University of Kansas, USA; Zak Canards and Spike Adding University, USA; Kenichi Okamoto, Yale Ratajczak, University of Virginia, USA Mathieu Desroches, Inria Paris-Rocquencourt, University, USA 4:15-4:40 Unifying Ecological Models France; Vivien Kirk, University of Auckland, for Understanding and Prediction New Zealand 4:15-4:40 Effectiveness of Unaids Targets and Hiv Vaccination Across Clarence Lehman, University of Minnesota, 4:15-4:40 Faux Canards and Folded 127 Countries USA Saddles Jan Medlock, Oregon State University, USA; 4:45-5:10 Toward a Mathematical John Mitry, University of Sydney, Australia Abhishek Pandey, Clemson University, Theory of Resilience 4:45-5:10 Synchronisation of Weakly USA; Alyssa S. Parpia, Amber Tang, Richard McGehee and Katherine Meyer, Coupled Canard Oscillators Laura A. Skrip, and Alison P. Galvani, University of Minnesota, USA Elif Koksal Ersoz, INRIA Paris, France Yale University, USA 5:15-5:40 Parameter Estimation for 5:15-5:40 Canards in a Minimal 4:45-5:10 Spatial and Social Land-Surface Models Piecewise-linear Square-wave Burster Interactions Drive Transmission Erik Van Vleck and Nathaniel A. Brunsell, Soledad Fernández-García, University of Dynamics in Ant Colonies University of Kansas, USA Sevilla, Spain Shweta Bansal and Ewan Colman, Georgetown University, USA 5:15-5:40 Rationally Time-shifting Risk in Response to Zika Timothy Reluga, Pennsylvania State University, USA 52 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 4:45-5:10 Interconnection and Monday, May 22 Multiple-Investment Strategies in MS71 Energy Markets MS72 Gerard Olivar, Universidad Nacional de Nonsmooth Dynamics: Colombia, Colombia; Johnny Valencia Theory and Applications of Applications and Novel Calvo, Tecnologico de Antioquia, Delay Differential Equations - Insights Colombia; Oscar Emilio Molina Diaz, Part I of II Universidad del Quindio, Colombia 3:45 PM-5:45 PM 3:45 PM-5:45 PM 5:15-5:40 Desynchronising Collections Room:Wasatch B of Oscillators by Using Two-Fold Room:Superior B The insights provided by nonsmooth Singularities For Part 2 see MS85 dynamical systems theory continues to David J. Simpson, Massey University, New Delay differential equations are Zealand; Mike R. Jeffrey, University of find relevance in an expanding range mathematical models of many important Bristol, United Kingdom of applications, from the microscopic real-world processes whose evolution mechanics of gene regulatory networks to depend on their past states. Although these global socio-economic decision making. equations have been successfully used to This rapid progress has been facilitated by describe epidemiological, physiological increasingly rigorous analytical results and and engineering problems, to name but the ongoing discovery of new phenomena. a few areas of applications, the majority Nonsmooth dynamics concerns systems of the formulated models are restricted to of differential equations possessing one point delay. This symposium focuses discontinuous jumps in their vector on recently developed models employing fields, which can model, for example: multiple, distributed and state-dependent switches, stability changes, or abrupt delays, and on the sophisticated geometric jumps in parameters. This session will and computational tools that are essential present some of the new ways in which in their analysis. nonsmooth dynamics is being put to use Organizer: Gabor Kiss in applications at the forefront of modern University of Bristol, United Kingdom mathematical modeling, the fresh insights provided by the discovery of novel Organizer: Karel Kenens phenomena, and the possibilities it opens Hasselt University, Belgium for original methods of control. 3:45-4:10 Nicholson Blowflies Dynamics in a Heterogenous Environment for Organizer: David J. Simpson Juveniles Massey University, New Zealand Gabor Kiss, University of Bristol, United Organizer: Simon C. Webber Kingdom University of Bristol, United Kingdom 4:15-4:40 Delay-Induced Dynamics in 3:45-4:10 Pausing: Revealing Time An El Niño Southern Oscillation Model: Indeterminacy in Piecewise Smooth A Bifurcation Analysis Systems Andrew Keane, Bernd Krauskopf, and Claire Simon C. Webber and Mike R. Jeffrey, M. Postlethwaite, University of Auckland, University of Bristol, United Kingdom; Paul New Zealand Glendinning, University of Manchester, 4:45-5:10 Poincaré-Bendixson-Type United Kingdom Theorems for Equations with State- 4:15-4:40 Coherent Behaviour in Non- Dependent Delay Smooth Neural Networks Benjamin Kennedy, Gettysburg College, USA Kyle Wedgwood, University of Exeter, 5:15-5:40 Stability in a Neural Network United Kingdom; Daniele Avitabile, with Distributed-Delay Coupling University of Nottingham, United Kingdom; Yuliya Kyrychko, University of Sussex, United Joshua Davis, University of Nottingham, Kingdom Malaysia; Stephen Coombes, University of Nottingham, United Kingdom

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Monday, May 22 Organizer: Matteo Tanzi Monday, May 22 Imperial College London, United Kingdom MS74 MS73 Organizer: Christian Bick Mathematical Analysis of University of Oxford, United Kingdom Recent Developments in Continuum Models Classical and Asynchronous Organizer: Eddie Nijholt Network Dynamical Vrije Universiteit Amsterdam, The for Nonlinear Optics Systems - Part I of II Netherlands and Nonequilibrium Gas 3:45 PM-5:45 PM 3:45-4:10 Maps Coupled in Networks. Dynamics The Interplay Between Structure and 3:45 PM-5:45 PM Room:Superior A Dynamics For Part 2 see MS86 Tiago Pereira, University of Sao Paulo, Room:Wasatch A Many real-world systems consist of a set Brazil We present some recent developments in of interacting units or nodes that may be 4:15-4:40 Generation of Stable continuum models for nonlinear optics and described using a network structure: the Traveling Waves in Unidirectional nonequilibrium gas dynamics. The first time evolution of a node’s state depends Chains of Idealized Neural speaker will report on the propagation of on the states of nodes connected to Oscillators solitons in the Maxwell-Bloch equations it by an edge. The characteristics of Stanislav M. Mintchev, The Cooper Union, with nonzero boundary conditions. The the underlying network influence USA; Bastien Fernandez, Université second speaker will address some aspects Paris-Diderot, France the dynamics, whether the network of integrability, turbulence, and effective is regular, as in a lattice or all-to-all 4:45-5:10 Meanfield Coupling of linearization of the nonlinear Schroedinger network, or heterogeneous, as in scale Expanding Circle Maps equation. The last two speakers will free networks. In recent years, much Peter Balint and Fanni Mincsovicsne Selley, talk about the theory and numerical progress has been made to describe Budapest University of Technology and implementation of a model for the how collective phenomena emerge in Economics, Hungary nonequilibrium diffusive gas dynamics. this kind of systems. At the same time, 5:15-5:40 Hidden Symmetry in Organizer: Rafail Abramov there are many examples of inherently Coupled Cell Networks University of Illinois, Chicago, USA nonsmooth real-world networks: links Eddie Nijholt and Bob Rink, Vrije are added and deleted, nodes may Universiteit Amsterdam, The Netherlands; Organizer: Gregor Kovacic evolve independently of each other, Jan Sanders, Free University Amsterdam, Rensselaer Polytechnic Institute, USA stop and then restart after finite time. Netherlands Smart grids are one example: loads 3:45-4:10 Dynamics of Optical Pulses Riding on a Background, An Exact are balanced to maintain network Approach function as consumers and generators Gregor Kovacic, Rensselaer Polytechnic are switched in and out dynamically. Institute, USA; Gino Biondini, State Here, asynchronous and temporal University of New York, Buffalo, USA; networks provide approaches to Daniel Kraus and Sitai Li, State University understand network dynamics and of New York, Buffalo, USA; Ildar R. its function for a large class of real- Gabitov, University of Arizona, USA world networks. The first part of the 4:15-4:40 Effective Dispersion and minisymposium will focus on results Linearization in Wave-Like Systems and applications for classical network Madison Wyatt, Katelyn J. Leisman, Michael dynamical systems that describe how Schwarz, Peter R. Kramer, and Gregor the network structure and symmetries Kovacic, Rensselaer Polytechnic Institute, constrain network dynamics and USA; David Ca, Shanghai Jiao Tong influence the emergence of collective University, China; Maxwell Jenquin and behavior such as synchronization. The Alexander Mayer, Rensselaer Polytechnic second part aims to link such results Institute, USA to recent mathematical advances in the 4:45-5:10 A Model for Diffusive Gas understanding of the local and global Dynamics Away from Thermodynamic dynamics of asynchronous and temporal Equilibrium networks and applications. Rafail Abramov, University of Illinois, Chicago, USA 5:15-5:40 An Openfoam Implementation of the Nonequilibrium Diffusive Gas Dynamics Model: Testing continued in next column and Validation Jasmine T. Otto, University of Ilinois at Chicago, USA 54 SIAM Conference on Applications of Dynamical Systems

Monday, May 22 3:45-4:10 Anomalous Critical and Monday, May 22 Supercritical Phenomena in Explosive MS75 Percolation MS76 Raissa D’Souza, University of California, Explosive Transitions in Davis, USA Data-driven Analysis and the Structure and in the 4:15-4:40 Recent Advances in Modeling of Real-world Dynamics of Complex Explosive Percolations and their Dynamical Systems Networks Applications 3:45 PM-5:45 PM Byungnam Kahng, Seoul National University, 3:45 PM-5:45 PM Korea Room:White Pine Room:Magpie A 4:45-5:10 Mechanism of Explosive Identifying patterns in complex systems Percolation and synchronization are two Synchronization in Networked from the physical world is a challenge well studied phase transitions. A classic Oscillators across science and engineering. As result is that these transitions are of Xiyun Zhang, Boston University, USA opposed to toy problems, whose the second-order type, i.e. continuous 5:15-5:40 Bellerophon States: behavior is relatively simple by design, and reversible. Recently, however, Coexistence of Quantized, Time complexity at the scale observed in real- explosive phenomena have been reported Dependent, Clusters in Globally world datasets can be difficult or even in complex networks’ structure and Coupled Oscillators impossible to capture within models Hongjie Bi, East China Normal University, dynamics, which rather remind first- defined in the absence of such data. China; Xin Hu, Chinese Academy of order (discontinuous and irreversible) Therefore, analysis of real-world datasets Sciences, China; Stefano Boccaletti, CNR, may offer a deeper understanding of transitions. Explosive percolation Italy; Xingang Wang, National University such complex systems, which in turn corresponds to an abrupt emergence of of Singapore, Singapore; Yong Zou, a large-scale connectivity on a network Zonghua Liu, and Shuguang Guan, East may provide insights into modeling of while explosive synchronisation refers China Normal University, China their salient behavior. Nevertheless, to a sudden increase in the coherence data-driven analyses pose numerous of the networks’ dynamics. The two challenges, including visualization of phenomena have stimulated investigations high-dimensional data, computational and debates, attracting attention in limitations in processing high volume many relevant fields (social dynamics, data, and identification of meaningful brain dynamics, power grids, ...). So low-dimensional descriptions from far, various substantial contributions the same. This minisymposium brings and progresses (including experimental together four studies of real-world verifications) have been made, which datasets that use the mathematical tools have provided insights on what structural in complex and dynamical systems to and dynamical properties are needed for extract and analyze patterns in real-world inducing such abrupt transformations, datasets. Datasets span a broad range as well as have greatly enhanced our of scales from motion traces of animal understanding of phase transitions in groups, to social negotiations underlying networked systems. Our minisymposium the democratic process, to atmospheric- has the intention of providing an level fluid flows. This minisymposium overview on the main existing results intends to present state-of-the-art research on both phenomena and pointing out focusing on the analysis and modeling possible directions for future research of real-world dynamical systems, and applications, together with describing whose understanding may be useful in novel dynamical phenomena that emerge applications beyond science, mathematics, at the onset of explosiveness. and engineering. Organizer: Irene Sendina-Nadal Organizer: Nicole Abaid Rey Juan Carlos University, Spain Virginia Tech, USA Organizer: Stefano Boccaletti Organizer: Sachit Butail CNR, Italy Northern Illinois University, USA Organizer: Juan A. Almendral Universidad Rey Juan Carlos, Spain

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Monday, May 22 Monday, May 22 Monday, May 22 MS76 IP3 SIAG/DS Business Meeting Data-driven Analysis and Random Long Time 7:00 PM-8:00 PM Modeling of Real-world Dynamics for Large Systems Room:Ballroom Dynamical Systems of Interacting Oscillators Complimentary beer and wine will be served. 3:45 PM-5:45 PM 6:00 PM-6:45 PM continued Room:Ballroom Chair: Barbara Gentz, University of 3:45-4:10 Interactional Dynamics of Same-Sex Marriage Legislation in the Bielefeld, Germany United States A considerable amount of effort has Subhradeep Roy and Nicole Abaid, Virginia been put into understanding large scale Tech, USA dynamics of interacting particles or, 4:15-4:40 A Persistent Homology more generally, interacting «units» Approach Towards a Thermodynamic (like cells or individuals). This large Description of Insect Swarms scale limit, leading often to a partial Michael Sinhuber and Nicholas T. Ouellette, differential equation, is in most cases Stanford University, USA taken under the assumption of finite 4:45-5:10 Lagrangian Coherent time horizon. This of course raises the Structures as Sub-mesoscale Transport crucial issue of the relevance of long Barriers in Amospheric Flows time dynamics for the limit PDE when Peter Nolan, Virginia Polytechnic Institute and dealing with the long time dynamics of State University, USA the original system, which is made of a 5:15-5:40 Speed Modulated Social finite number of particles or units. This Influence in Evacuating Pedestrian issue has been successfully tackled for Crowds stochastic systems (the large scale limit Sachit Butail, Northern Illinois University, is in this case a law of large numbers) USA; Abhishek Bhatia, Indian Institute for the cases in which deviations from of Technology, Delhi, India; Elham this limit can only be due to very rare Mohammadi, Northern Illinois University, events (Large Deviations). The net USA result is that the deviations from the limit behavior can be observed only on time scales that are huge (for example, Intermission the exponential of number of particles/ 5:45 PM-6:00 PM units in the system). However, in several natural instances deviations happen on a much shorter time scale. After discussing this important issue and its practical relevance in a general framework, I will focus on mean field synchronization models for which 1. we can sharply trace the time scale of validity of the deterministic large scale PDE; 2. we can describe in detail what happens after this time scale. The talk is based on papers written by subsets of the following authors: Lorenzo Bertini, Eric Luçon, Christophe Poquet, & myself. Giambattista Giacomin Université Paris VII - Denis Diderot, France

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Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS77 MS78 Computes Shoots and Topological Data Analysis of Registration Leaves: Alan Turing, Time Series from Dynamical 8:00 AM-4:15 PM Phyllotaxis and Beyond - Systems - Part I of II Room:Ballroom Foyer Part I of II 8:30 AM-10:30 AM 8:30 AM-10:30 AM Room:Ballroom 2 Room:Ballroom 1 For Part 2 see MS91 For Part 2 see MS90 Topological data analysis (TDA) seeks to Phyllotaxis is the arrangement of leaves describe shape—for example, the number around plant stems, and has intrigued of components, holes, and cycles—of data mathematicians as a seemingly simple from sources as diverse as spatiotemporal example of robust self-organisation in models and functional networks to signals biology. Although the mathematical from mechanical devices. Speakers will study of phyllotaxis certainly did not explore novel applications ranging from begin with Alan Turing, it captivated voter networks to pattern formation, him, as many others before and since, the theory and implementation of TDA, and his work on mathematical models the classification dynamical regimes, for phyllotaxis remains relatively the selection of appropriate ranges of unknown compared to his 1952 paper sampling rates and scales, and address The Chemical Basis of Morphogenesis. computational limitations due to memory This minisymposium will explore and processing power. Common themes Turing’s lesser-known (and highly include the unique challenges for TDA original) historical contributions, modern if it is to take into account the temporal mathematical models for phyllotaxis, the structure of time series from complex behaviour found in data collected from dynamics. large-scale surveys of real sunflowers, Organizer: Nicole Sanderson and the relation with other plant growth University of Colorado, USA phenomena such as root hairs. Organizer: James D. Meiss Organizer: Jonathan Dawes University of Colorado Boulder, USA University of Bath, United Kingdom Organizer: Elizabeth Bradley Organizer: Jonathan Swinton University of Colorado Boulder, USA Deodands LTD, United Kingdom 8:30-8:55 Topological Data Analysis of 8:30-8:55 After 1952: Alan Turing’s Stochastic Collective Motion Later Work on Pattern Formation Chad M. Topaz, Macalester College, USA Jonathan Dawes, University of Bath, United Kingdom 9:00-9:25 Combinatorial Approximation and Discrete-Time Dynamics 9:00-9:25 Patterns in the Starch-Iodine Sarah Day, College of William & Mary, USA Reaction Derek Handwerk, Colorado State University, 9:30-9:55 Classification of Pattern- USA Forming Systems Using Persistence Rachel Neville and Patrick Shipman, Colorado 9:30-9:55 Phyllotaxis: The Hows Rather State University, USA Than the Whys Alan Newell, University of Arizona, USA 10:00-10:25 Witness Complexes for Time Series Analysis 10:00-10:25 On How Turing Triggers Nicole Sanderson, University of Colorado, Biochemical Spot Dynamics in a Plant USA Root Hair Initiation Model Victor F. Brena-Medina, University of Bristol, United Kingdom; Michael Ward, University of British Columbia, Canada SIAM Conference on Applications of Dynamical Systems 57

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS79 MS80 MS81 Koopman Operator Dynamical Systems Recent Advances in Slow- Techniques in Dynamical Approaches to Tipping Fast Dynamics - Part II of II Systems: Theory - Part I of II Points: Theory and 8:30 AM-10:30 AM 8:30 AM-10:30 AM Applications - Part I of II Room:Primrose B Room:Ballroom 3 8:30 AM-10:30 AM For Part 1 see MS68 For Part 2 see MS92 Room:Primrose A Multiple timescales are prominent in a number of application areas, in particular In many data-driven applications For Part 2 see MS93 in neuroscience. Mathematical models involving dynamical systems, operator- This session aims to give an overview of that incorporate multiple timescales can theoretic techniques allow efficient recent developments in the application reproduce many experimentally observed representations of high-dimensional of dynamical systems to the theory neuronal rhythms, such as spiking, time series, forecasting of observables of tipping points. On one end of bursting, amplitude-modulated bursting and probability measures, and control. the spectrum, low-dimensional and and mixed-mode oscillations, to name Modern techniques construct discrete conceptual models have provided a a few. This two-part minisymposium approximations to operators such as useful framework for understanding will present recent work on slow-fast the Koopman and Perron-Frobenius different mechanisms that can induce dynamics in ODEs and spatially- operators using ideas from harmonic tipping, such as bifurcations, noise, and extended systems. In these examples, analysis, machine learning, and other rapid changes of input or parameters. On phenomena such as canard solutions fields, with the nonlinear geometries of another end, of practical importance is and delayed bifurcations are found to data often playing an important role. the ability to predict critical transitions organise non-trivial dynamics that can The goal of this minisymposium is to through identification of early warning be related to various neuronal behaviors bring together operator theoretic and signals. Results from both of these of single neurons, coupled neurons and geometric perspectives, and to explore research areas will be presented in this populations of neurons. new approaches to data driven modeling session, with applications ranging from based on these ideas. cardiac systems to climate modeling and Organizer: Daniele Avitabile Organizer: Ryan Mohr ecosystem behavior. University of Nottingham, United Kingdom University of California, Santa Barbara, USA Organizer: Anna M. Barry Organizer: Mathieu Desroches Organizer: Dimitrios Giannakis University of Auckland, New Zealand Inria Paris-Rocquencourt, France Courant Institute of Mathematical Sciences, Organizer: Esther Widiasih Organizer: Vivien Kirk New York University, USA University of Hawaii, West Oahu, USA University of Auckland, New Zealand 8:30-8:55 Extensions of Koopman 8:30-8:55 Non Smooth Tipping from 8:30-8:55 Ducks in Space: From Operator Theory: Stochastic Dynamical Paleoclimate Nonlinear Absolute Instability to Systems and Partial Differential Esther Widiasih, University of Hawaii, West Noise-sustained Structures Equations Oahu, USA Edgar Knobloch, University of California, Igor Mezic, University of California, Santa Berkeley, USA - Nonlinearity, Institute of Barbara, USA 9:00-9:25 Sequential Escapes for Network Dynamics Physics 9:00-9:25 Reconstruction of the Jennifer L. Creaser, Peter Ashwin, and 9:00-9:25 Spatio-temporal Canards in Koopman Operator’s Spectral Measure Krasimira Tsaneva-Atanasova, University Neural Field Models from Data of Exeter, United Kingdom Daniele Avitabile, University of Nottingham, Ryan Mohr, University of California, Santa United Kingdom Barbara, USA 9:30-9:55 Rate-Induced Tipping Through Hopf Bifurcations in Fast/Slow 9:30-9:55 A Robust Neural Integrator 9:30-9:55 Manifold Learning with Systems Based on the Interactions of Three Contracting Observers for Data-Driven Jonathan Hahn, University of Minnesota, Time Scales Dynamical Systems Analysis USA Bard Ermentrout, University of Pittsburgh, Tal Shnitzer and Ronen Talmon, Technion 10:00-10:25 Noise-induced Transitions USA Israel Institute of Technology, Israel; Jean- between Alternative Stable Periodic 10:00-10:25 Role of Gap Junctions in a Jacques Slotine, Massachusetts Institute of Orbits of a Periodically-forced System: Neuron Astrocyte Network Model Technology, USA Is there a Preferred Phase for Tipping? David H. Terman, The Ohio State University, 10:00-10:25 On the Asymptotics of Yuxin Chen, Northwestern University, USA; USA Flows and Koopman Semigroups Mary Silber, University of Chicago, USA; Viktoria Kuehner, University of Tuebingen, John Gemmer, Wake Forest University, Germany USA; Alexandria Volkening, Brown University, USA 58 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 9:30-9:55 Cardiac Re-Entry Evolution in MRI-based Models of the Heart MS82 MS83 Irina Biktasheva, University of Liverpool, United Kingdom; Vadim N. Biktashev, Advances in Infectious Data-based Modeling of University of Exeter, United Kingdom; Disease Modeling - Cardiac Dynamics Arun Holden, University of Leeds, United Kingdom; Sanjay R. Kharche, University Part II of II 8:30 AM-10:30 AM of Exeter, United Kingdom; Eleftheria 8:30 AM-10:30 AM Room:Magpie B Pervolaraki, University of Leeds, United Cardiac arrhythmias like atrial and Kingdom; Girish Ramlugun, Auckland Room:Maybird BioEngineering Institute, New Zealand; ventricular fibrillation are significant For Part 1 see MS69 Gunnar Seemann, Karlsruhe Institute Infectious diseases are spreading health problems, and many efforts are of Technology, Germany; Bruce smaill, geographically faster now than ever being directed at using data to improve Auckland BioEngineering Institute, New before, posing a continuing threat to the modeling of these diseases in Zealand ways that ultimately can be applied daily life. Mathematical modeling 10:00-10:25 Cardiac Response to Low- has become an important tool in clinically to improve patient health. Energy Field Pacing Challenges the investigating infections, providing This minisymposium will span advances Standard Theory of Defibrillation key insights into infection dynamics in data-driven mathematical and Arkady Pertsov, SUNY Upstate Medical and spread at both the within-host and computational modeling of arrhythmias University, USA epidemiological scales. The primary goal as well as steps toward impactful of this minisymposium is to provide a applications. On the modeling side, platform for discussion of mathematical topics such as incorporating data models of infectious disease dynamics into simulations, novel techniques and provide a broad perspective on the for data acquisition, and advanced strengths, and weaknesses, of disease numerical techniques will be discussed. modeling. Applications will include patient-specific arrhythmia modeling, validation, and Organizer: Alun Lloyd novel tools for diagnosis and therapy. North Carolina State University, USA Organizer: Ulrich Parlitz Organizer: Jan Medlock Max Planck Institute for Dynamics and Self- Oregon State University, USA Organization, Germany 8:30-8:55 Skipping a Pill to Prevent Organizer: Elizabeth M. Cherry Drug Resistance? Rochester Institute of Technology, USA Jessica M. Conway, Pennsylvania State University, USA 8:30-8:55 Incorporating Data into Models of Cardiac Electrical 9:00-9:25 Targeting the Achilles Heel Dynamics of HIV Reservoir Persistence Elizabeth M. Cherry and Darby Cairns, Joshua Schiffer, Fred Hutchinson Cancer Rochester Institute of Technology, USA; Research Center, USA Nicholas LaVigne, Cornell University, 9:30-9:55 Modeling Combination USA; Nathan Holt, Rochester Institute Therapies Using Latency Reversing of Technology, USA; Flavio H. Fenton, Agents and Immunotherapeutics to Georgia Institute of Technology, USA; Cure Hiv Matthew J. Hoffman, Rochester Institute Ruian Ke, North Carolina State University, of Technology, USA USA 9:00-9:25 Reconstruction of Cardiac 10:00-10:25 Spatial Models of HCV Dynamics from Cardiac Deformation Infection: From the Liver to the Whole Mechanics Body Jan Christoph, Max-Planck-Institute Ruy M. Ribeiro, Los Alamos National for Dynamics and Self-Organization, Laboratory, USA Germany; Stefan Luther, Max Planck Institute for Dynamics and Self- Organization, Germany

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Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS84 MS85 MS86 Oscillators and Networks Theory and Applications of Mathematical Analysis of with Switching Parameters Delay Differential Equations Classical and Asynchronous 8:30 AM-10:30 AM - Part II of II Network Dynamical Systems Room:Wasatch B 8:30 AM-10:30 AM - Part II of II This minisymposium focuses on Room:Superior B 8:30 AM-10:30 AM a largely unexplored area such as For Part 1 see MS72 Room:Superior A mathematical analysis and modeling of Delay differential equations are For Part 1 see MS73 dynamical systems and networks whose mathematical models of many important Many real-world systems consist of a set coupling or internal parameters switch real- world processes whose evolution of interacting units or nodes that may periodically or stochastically. Examples depend on their past states. Although be described using a network structure: to be discussed in this minisymposium these equations have been successfully the time evolution of a node’s state include piecewise-smooth models of used to describe epidemiological, depends on the states of nodes connected bipedal walking and their interaction physiological and engineering problems, to it by an edge. The characteristics with a ground structure, network models to name but a few areas of applications, of the underlying network influence of self-propelled particles, and effects of the majority of the formulated models the dynamics, whether the network link losses and delays on the dynamics are restricted to one point delay. is regular, as in a lattice or all-to-all of switching networks. This symposium focuses on recently network, or heterogeneous, as in scale developed models employing multiple, Organizer: Igor Belykh free networks. In recent years, much distributed and state-dependent delays, Georgia State University, USA progress has been made to describe how and on the sophisticated geometric and collective phenomena emerge in this kind Organizer: Maurizio Porfiri computational tools that are essential in of systems. At the same time, there are Polytechnic Institute of New York University, their analysis. many examples of inherently nonsmooth USA Organizer: Gabor Kiss real-world networks: links are added and 8:30-8:55 Bistable Gaits and Wobbling University of Bristol, United Kingdom deleted, nodes may evolve independently Induced by Pedestrian-Bridge of each other, stop and then restart after Interactions Organizer: Karel Kenens finite time. Smart grids are one example: Igor Belykh and Russell Jeter, Georgia Hasselt University, Belgium loads are balanced to maintain network State University, USA; Vladimir Belykh, 8:30-8:55 Feedback Stabilizability with function as consumers and generators are Lobachevsky State University of Nizhny Time-Delayed Feedback switched in and out dynamically. Here, Novgorod, Russia Jan Sieber, University of Exeter, United asynchronous and temporal networks 9:00-9:25 Spotting Leaders in Groups Kingdom provide approaches to understand of Self-propelled Particles 9:00-9:25 Gevrey Properties for network dynamics and its function for a Violet Mwaffo, New York University, USA; Center Manifolds of Delay Differential large class of real-world networks. The Maurizio Porfiri, Polytechnic Institute of Equations first part of the minisymposium will New York University, USA Karel Kenens, Hasselt University, Belgium focus on results and applications for 9:30-9:55 A Consensus Dynamics 9:30-9:55 Delay Equations for classical network dynamical systems that with Delay-Induced Instability can Epidemic Models with Waning describe how the network structure and Self-Regulate for Stability via Agent Immunity symmetries constrain network dynamics Regrouping Yukihiko Nakata, Shimane University, Japan and influence the emergence of collective Rifat Sipahi and Min Hyong Koh, 10:00-10:25 Constant, Distributed and behavior such as synchronization. The Northeastern University, USA State Dependent Delays in Models of second part aims to link such results 10:00-10:25 Synchronization and Waning and Boosting of Immunity to recent mathematical advances in the Pinning Control of Smooth and Gergely Rost, University of Szeged, Hungary understanding of the local and global Piecewise-smooth Networks with dynamics of asynchronous and temporal Noise networks and applications. Giovanni Russo, IBM Research, Ireland; Mario Di Bernardo, University of Bristol, United Kingdom

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Tuesday, May 23 Tuesday, May 23 9:30-9:55 Using Evolutionary Dynamics to Model Structured Improvisational MS86 MS87 Dance Kayhan Ozcimder and Biswadip Dey, Mathematical Analysis of Modelling, Dynamics and Princeton University, USA; Alessio Franci, Classical and Asynchronous Coordination of Human Universidad Nacional de Mexico, Mexico; Network Dynamical Systems Behavior Rebecca J. Lazier, Daniel Trueman, and Naomi E. Leonard, Princeton University, - Part II of II 8:30 AM-10:30 AM USA 8:30 AM-10:30 AM Room:Wasatch A 10:00-10:25 Embedded Dynamics Continued Modelling human movement and of Multiagent Activity and Social Coordination understanding how coordination emerges Maurice Lamb, Patrick Nalepka, Rachel in human groups is attracting attention W. Kallen, and Michael J. Richardson, from different disciplines in Science University of Cincinnati, USA Organizer: Matteo Tanzi and Engineering. It is for example Imperial College London, United Kingdom important to model crowd dynamics, Organizer: Christian Bick devise algorithms for human-robot University of Oxford, United Kingdom coordination and even for the diagnosis and therapy of social disorders. The Organizer: Eddie Nijholt goal of this minisymposium is to Vrije Universiteit Amsterdam, The bring together experts from different Netherlands disciplines to present their latest results 8:30-8:55 Functional Asynchronous on the analysis of human movement Networks and coordination ranging from Social Michael Field, Rice University and Imperial Psychology, to dance and collective College London, United Kingdom; crowd behavior. After a first introductory Christian Bick, University of Oxford, talk on the problem of modelling human United Kingdom motion, speakers will discuss their latest 9:00-9:25 Synchronization in On-off research results putting emphasis on Stochastic Networks: Windows of open problems, challenges and future Opportunity perspectives. Russell Jeter, Georgia State University, USA; Olga Golovneva, New York Organizer: Francesco Alderisio University Polytechnic, USA; Maurizio University of Bristol, United Kingdom Porfiri, Polytechnic Institute of New York University, USA; Igor Belykh, Georgia Organizer: Mario di Bernardo State University, USA University of Bristol, United Kingdom 8:30-8:55 Modelling Movement and 9:30-9:55 Piecewise-Smooth Networks Coordination in the Mirror Game: Mario Di Bernardo, University of Bristol, From Dyads to Groups United Kingdom Francesco Alderisio and Gianfranco Fiore, 10:00-10:25 Community Change- University of Bristol, United Kingdom; point Detection in Time-dependent Robin Salesse and Benoit Bardy, Networks University of Montpellier, France; Mario Michael Schaub, Massachusetts Institute of Di Bernardo, University of Bristol, United Technology, USA; Leto Peel, Université Kingdom Catholique de Louvain, Belgium 9:00-9:25 Behavioral Dynamics of Collective Crowd Behavior William Warren, Brown University, USA

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Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS88 MS89 IP4 Multiple Time Scales in Geometric Mechanics and Computational Approach Biological Systems Applications Elucidating the Mechanisms 8:30 AM-10:00 AM 8:30 AM-10:30 AM of Cardiovascular Diseases Room:Magpie A Room:White Pine 11:00 AM-11:45 AM Evolutionary change in interacting This minisymposium will focus on the Room:Ballroom populations, biochemical reactions or application of geometric methods to Chair: Yasumasu Nishiura, WPI Advanced pharmacodynamics (i.e., the study of dynamical systems with a mechanical Institute for Materials Research, Japan the effects of drugs) are examples of origin. The geometric viewpoint Cardiovascular diseases such as aortic complex biological phenomena. As a provides a unified and systematic aneurysms and aortic dissections persist result, the resulting systems of equations framework to address a broad range as life-threatening hazards. Patient- describing such systems are often high- of issues, including control, numerical specific simulations are now common in dimensional and incorporate multiple integration, and qualitative dynamics, biomedical engineering. Although they time scales. Because of the ability to for both classical and quantum systems. are extremely useful for grasping the reduce dimensionality and account for In particular, topics represented include flow/stress distributions and for patient- time separation between interacting quantum control, dynamics Gaussian specific treatment planning, they remain processes, fast-slow dynamical systems wave packet, and variational principles insufficient to elucidate the general provide a powerful way of analyzing for constrained field theories. This mechanisms of a targeted disease. biological systems, using techniques such minisimposium will provide a unique Several mathematical viewpoints should as geometric singular perturbation theory. opportunity for mathematicians, play important roles in this context. For However, it is not clear whether results applied mathematicians, and engineers instance, we introduce a geometrical obtained by assuming extremely slow/fast to explore the common interests and characterization of blood vessels, processes persist when the separation of collaborate in the field of geometric which vary widely among individuals. time scales is small. In addition, accurate approach to mechanics. Differences in the vessel morphology can information of the inherent time scales produce different flow characteristics, in biological systems can be difficult Organizer: Vakhtang stress distributions, and ultimately to obtain. In this minisymposium, we Putkaradze different outcomes. Therefore, the discuss the above-mentioned biological University of Alberta, Canada characterization of the morphologies of applications, where fast-slow structures 8:30-8:55 Quantum Control and the these vessels poses an important clinical arise and are exploited, and how they can Geometry of Flag Manifolds question. Through close collaboration be used to answer challenging biological Anthony M. Bloch, University of Michigan, with medical doctors, these analyses can questions. USA yield greater understanding leading to Organizer: Sofia H. Piltz 9:00-9:25 Lagrange-Dirac Systems for better risk assessments. Nonequilibrium Systems University of Michigan, USA Hiroaki Yoshimura, Waseda University, Hiroshi Suito Organizer: Frits Veerman Japan Tohoku University, Japan University of Edinburgh, United Kingdom 9:30-9:55 The Siegel Upper Half 8:30-8:55 Rapid Evolution in Plankton Space, Symplectic Reduction, and Populations: A Slow-Fast Model Gaussian Wave Packet Dynamics Frits Veerman, University of Edinburgh, Tomoki Ohsawa, University of Texas at United Kingdom Dallas, USA Lunch Break 9:00-9:25 Predicting the Shapes of 10:00-10:25 Hamel’s Formalism for 11:45 AM-1:15 PM Constrained Field Theories Eco-Evolutionary Predator-Prey Cycles Attendees on their own Using Fast-Slow Dynamical System Dmitry Zenkov, North Carolina State Theory: Fast Evolution and Slow University, USA Ecology, Vice Versa, and Everything in Between Michael Cortez, Utah State University, USA Coffee Break 9:30-9:55 Applications of Timescale Analysis to Mathematical Models in 10:30 AM-11:00 AM Toxicology Room:Golden Cliff John P. Ward, Loughborough University, United Kingdom 62 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS90 MS91 MS92 Computes Shoots and Topological Data Analysis of Koopman Operator Leaves: Alan Turing, Time Series from Dynamical Techniques in Dynamical Phyllotaxis and Beyond - Systems - Part II of II Systems: Theory - Part II of II Part II of II 1:15 PM-3:15 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Ballroom 2 Room:Ballroom 3 Room:Ballroom 1 For Part 1 see MS78 For Part 1 see MS79 For Part 1 see MS77 Topological data analysis (TDA) In many data-driven applications involving Phyllotaxis is the arrangement of leaves seeks to describe shape—for example, dynamical systems, operator-theoretic around plant stems, and has intrigued the number of components, holes, techniques allow efficient representations mathematicians as a seemingly simple and cycles—of data from sources as of high-dimensional time series, example of robust self-organisation in diverse as spatiotemporal models and forecasting of observables and probability biology. Although the mathematical functional networks to signals from measures, and control. Modern techniques study of phyllotaxis certainly did not mechanical devices. Speakers will construct discrete approximations to begin with Alan Turing, it captivated explore novel applications ranging from operators such as the Koopman and Perron- him, as many others before and since, voter networks to pattern formation, Frobenius operators using ideas from and his work on mathematical models the theory and implementation of harmonic analysis, machine learning, and for phyllotaxis remains relatively TDA, the classification dynamical other fields, with the nonlinear geometries unknown compared to his 1952 paper regimes, the selection of appropriate of data often playing an important role. The Chemical Basis of Morphogenesis. ranges of sampling rates and scales, The goal of this minisymposium is to This minisymposium will explore and address computational limitations bring together operator theoretic and Turing’s lesser-known (and highly due to memory and processing power. geometric perspectives, and to explore new original) historical contributions, modern Common themes include the unique approaches to data driven modeling based mathematical models for phyllotaxis, the challenges for TDA if it is to take into on these ideas. behaviour found in data collected from account the temporal structure of time series from complex dynamics. Organizer: Ryan Mohr large-scale surveys of real sunflowers, University of California, Santa Barbara, USA and the relation with other plant growth Organizer: Nicole Sanderson phenomena such as root hairs. University of Colorado, USA Organizer: Dimitrios Giannakis Courant Institute of Mathematical Sciences, Organizer: Jonathan Dawes Organizer: James D. Meiss New York University, USA University of Bath, United Kingdom University of Colorado Boulder, USA 1:15-1:40 Extraction and Prediction of Organizer: Jonathan Swinton Organizer: Elizabeth Bradley Coherent Patterns in Fluid Flows Via Space-Time Koopman Analysis Deodands LTD, United Kingdom University of Colorado Boulder, USA Dimitrios Giannakis, Courant Institute of 1:15-1:40 Beyond Wave-Pinning; 1:15-1:40 The Conley Index for Mathematical Sciences, New York University, Dynamical Mechanisms for Cell Sampled Dynamical Systems USA Polarity and Interdigitation Marian Mrozek, Jagiellonian University, 1:45-2:10 Optimally Time Dependent Nicolas Verschueren Van Rees and Alan R. Krakow, Poland Champneys, University of Bristol, United Modes for the Description of Finite- Kingdom 1:45-2:10 Applications of Persistence Time Instabilities in Infinite Dimensional to Time Series Analysis Dynamical Systems 1:45-2:10 Fibonacci Phyllotaxis: Elizabeth Munch, University of Albany - Themistoklis Sapsis, Massachusetts Institute of Models, Data and Alan Turing State University of New York, USA Technology, USA Jonathan Swinton, Deodands LTD, United Kingdom 2:15-2:40 The Topological “Shape” 2:15-2:40 Dmd-Galerkin Approximation of Brexit and Time-Dependent for Nonlinear Dynamical Systems 2:15-2:40 Self-Organization and Functional Networks Alessandro Alla, Florida State University, USA Pattern Formation in Auxin Flux Mason A. Porter, University of California, 2:45-3:10 Fast and Reliable Extraction Christian Mazza, University of Fribourg, Los Angeles, USA; Heather Harrington, of Coherent Features from Models Switzerland University of Oxford, United Kingdom; and Data using the Dynamic Laplace Bernadette Stolz, University of Oxford, 2:45-3:10 Phyllotaxis: Pattern Operator Formation on Manifolds Canada Gary Froyland, University of New South Wales, Matt Pennybacker, University of New 2:45-3:10 Topological Analysis of Australia Mexico, USA Mapper and Multiscale Mapper Tamal Dey, Ohio State University, USA SIAM Conference on Applications of Dynamical Systems 63

Tuesday, May 23 Tuesday, May 23 1:15-1:40 Coherency in Braids of Trajectories As a Machine-Learning MS93 MS94 Problem Marko Budisic, Clarkson University, Dynamical Systems Recent Advances in USA; Jean-Luc Thiffeault, University of Approaches to Tipping Characterization of Wisconsin, Madison, USA Points: Theory and Nonautonomous Dynamical 1:45-2:10 Winding Angle Distribution of Applications - Part II of II Transport - Part I of II 2D Brownian Motion with Vortical Flow Huanyu Wen, University of Wisconsin, 1:15 PM-3:15 PM 1:15 PM-3:15 PM Madison, USA Room:Primrose A Room:Primrose B 2:15-2:40 Trajectory Encounter For Part 1 see MS80 For Part 2 see MS100 Number As a Diagnostic of Mixing This session aims to give an overview of Quantifying fluid transport is of Potential in Fluid Flows recent developments in the application importance at all scales, ranging from Irina Rypina and Larry Pratt, Woods Hole of dynamical systems to the theory microfluidic to geophysical. From Oceanographic Institution, USA of tipping points. On one end of the dynamical systems perspective, 2:45-3:10 Weakly Three-Dimensional the spectrum, low-dimensional and material particles are advected by Transport by Vortices in SQG Flows conceptual models have provided a useful unsteady velocity fields; therefore, Stefan Llewellyn Smith and Cecily Taylor, framework for understanding different particle trajectories are solutions to University of California, San Diego, USA mechanisms that can induce tipping, such nonautonomous dynamical systems. as bifurcations, noise, and rapid changes While simulated models readily admit of input or parameters. On another end, techniques that use both velocity fields of practical importance is the ability and particle trajectories, experiments to predict critical transitions through and field observations rarely produce identification of early warning signals. concurrent velocity fields and particle Results from both of these research areas trajectories and often focus only will be presented in this session, with on either velocities or trajectories. applications ranging from cardiac systems Difficulties of characterizing transport to climate modeling and ecosystem in nonautonomus systems in a data- behavior. compatible manner have led to Organizer: Anna M. Barry the ongoing development of many mathematical and computational University of Auckland, New Zealand tools for quantifying and optimizing Organizer: Esther Widiasih transport. This minisymposium University of Hawaii, West Oahu, USA highlights recent developments in these 1:15-1:40 Bifurcations in the Dynamic directions, drawing on quite diverse Budyko Model with Diffusive Heat perspectives: nonautonomous dynamics, Transport topological methods, model- and data- James Walsh, Oberlin College, USA driven methods, control theory, with 1:45-2:10 Predictability of Critical applications in mechanics, oceanography, Transitions planetary science, and image processing. Sarah Hallerberg, Max Planck Institute for Organizer: Marko Budisic Dynamics and Self-Organization, Germany; Clarkson University, USA Christian Kuehn, Technical University of Munich, Germany; Nahal Sharafi and Organizer: Sanjeeva Balasuriya Xiaozu Xhang, Max Planck Institute, University of Adelaide, Australia Germany 2:15-2:40 Partial Eclipse of the Heart: Early Warning Signs from Sparse Observations Andrew Roberts, Cornell University, USA 2:45-3:10 Dynamics and Resilience of Vegetation Bands in the Horn of Africa: Comparing Observation and Modeling Karna V. Gowda, Northwestern University, USA; Sarah Iams, Harvard University, USA; Mary Silber, University of Chicago, USA continued in next column 64 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS95 CP1 CP2 Extreme Events: Generation, Prediction, and Tipping 1:15 PM-3:15 PM 1:15 PM-2:55 PM 1:15 PM-3:15 PM Room:Magpie B Room:Wasatch B Room:Maybird Chair: James M. Kunert-Graf, University of Chair: Emily F. Stone, University of Montana, Extreme events are considered to be Washington, USA USA rare events characterized by a large 1:15-1:30 The Importance of 1:15-1:30 Dynamic Mode impact on a particular system which is Assortativity to Improve Dynamical Decomposition of Resting State measured in terms of some observable Robustness in Complex Networks Eeg Data - a Dynamical Systems or order parameter. The aim of this Juan A. Almendral, Universidad Rey Juan Approach to Identifying Epilepsy Carlos, Spain; Takeyuki Sasai, Kai Morino, minisymposium is to discuss recent Characteristics and Gouhei Tanaka, University of Tokyo, advances in mechanisms of generation Karin Mora, Michael Dellnitz, Solveig Vieluf, Japan; Kazuyuki Aihara, JST/University of and Claus Reinsberger, University of and termination of extreme events as Tokyo, Japan Paderborn, Germany well as their prediction in dynamical 1:35-1:50 Convergence of the systems represented by models as well as 1:35-1:50 Topological Changes in Spectral Radii for Random Directed Chaotic Neuron Models observational data. Additionally extreme Graphs with Community Structure events are examined as causes of tipping. Sergio Serrano and Roberto Barrio, David Burstein, Swarthmore College, USA University of Zaragoza, Spain; Marc The system classes covered by this Lefranc, PHLAM - Universite de Lille, minisymposium are relevant to different 1:55-2:10 Spatiotemporal Feedback and Network Structure Drive and France; Angeles Martinez, University of applications in nature. Special emphasis is Encode C. Elegans Locomotion Zaragoza, Spain given to multistable systems, power grids, James M. Kunert-Graf, University of 1:55-2:10 Effect of Neuromodulation laser systems, excitable units coupled Washington, USA; Joshua L. Proctor, on Connectivity Properites at with multiple delays and the climate Institute for Disease Modeling, USA; Hippocampal Synapses system. Steven Brunton and Nathan Kutz, Emily F. Stone and Elham Bayat-Mokhtari, Organizer: Ulrike Feudel University of Washington, USA University of Montana, USA University of Oldenburg, Germany 2:15-2:30 Invariant Subspaces for Pair- 2:15-2:30 Transient Chaos and Coupled Networks 1:15-1:40 Tipping Due to Extreme Switching Behavior in Two Synaptically James Swift, Northern Arizona University, Events Coupled Layers of Morris-Lecar USA Neurons Ulrike Feudel and Lukas Halekotte, University of Oldenburg, Germany; James A. Yorke, 2:35-2:50 Nonlinear Control of a Renate A. Wackerbauer and Harrison Hartley, University of Maryland, USA Repulsively-Coupled Triad Network University of Alaska, Fairbanks, USA with Multiple Attractors 1:45-2:10 Predicting Extreme Optical 2:35-2:50 Synchronization of Reaction Michael M. Norton, Camille Girabawe, Pulses in Laser Systems Diffusion Neural Networks Via Passivity Thomas Litschel, and Seth Fraden, Theory and Its Direct Application to Cristina Masoller, Universitat Politecnica de Brandeis University, USA Image Encryption Catalunya, Spain 2:55-3:10 Control of Complex Network Prakash Mani, Indian Institute of Technology, 2:15-2:40 Extreme Value Analysis in Dynamics and Synchronization by India; Lakshmanan Shanmugam, Deakin Dynamical Systems: Two Case Studies Symbolic Regression University, Australia Tamas Bodai, University of Hamburg, Markus W Abel, Universität Potsdam, Germany Germany; Julien Gout and Markus Quade, 2:45-3:10 Extreme Events in Coupled University of Potsdam, Germany; Robert Systems with Different Delays K. Niven, The University of New South Arindam Saha and Ulrike Feudel, University Wales, Australia; Kamran Shafi, University of Oldenburg, Germany of New South Wales, Australia SIAM Conference on Applications of Dynamical Systems 65

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 CP3 CP4 CP5

1:15 PM-2:55 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Superior B Room:Superior A Room:Wasatch A Chair: Punit R. Gandhi, Ohio State Chair: Michael Allshouse, Massachusetts Chair: Simone Bianco, IBM Research, USA University, USA Institute of Technology, USA 1:15-1:30 Dynamical Properties of Viral 1:15-1:30 Hidden Structures of 1:15-1:30 Angular Dynamics of Defective Interfering Particles Information Transport Underlying Non-Spherical Particles Settling in Simone Bianco, IBM Research, USA; Igor Spiral Wave Dynamics Turbulence Rouzine, University of California, San Hiroshi Ashikaga, Johns Hopkins University, Bernhard Mehlig, University of Gothenburg, Francisco, USA USA; Ryan G. James, University of Sweden 1:35-1:50 Impact of Heart California, Davis, USA 1:35-1:50 Lagrangian Chaos and Tissue Anisotropy and Ischemic 1:35-1:50 Spectrum of Singularities in Transport in Geophysical Fluid Flows Heterogeneities on Unpinning and Gravito-Capillary Waves: A Phillips’ Maleafisha Stephen Tladi, University of Termination of Pinned Spirals: Insights Spectrum Proxy Limpopo, South Africa from Simulations. Claudio Falcon, Universidad de Santiago Edda Boccia, Stefan Luther, and Ulrich 1:55-2:10 Internal Wave Bolus de Chile, Chile; Gustavo Castillo, Parlitz, Max Planck Institute for Dynamics Detection and Analysis by Universidad de Chile, Chile and Self-Organization, Germany Lagrangian Clustering 1:55-2:10 Slanted Snaking of Michael Allshouse, Massachusetts Institute of 1:55-2:10 Transovarial Transmission in Localized Faraday Waves Technology, USA Vector-Borne Relapsing Diseases Punit R. Gandhi, Ohio State University, Cody Palmer, University of Louisiana, 2:15-2:30 Numerical Simulation of USA; Bastian, Isidora Araya, and USA; Erin Landguth and Tammi Johnson, Immiscible and Miscible Component- Marcel Clerc, Universidad de Chile, University of Montana, USA Based Co2-Oil-Rock Interaction Chile; Claudio Falcon, Universidad de to Enhance Oil Recovery in 2:15-2:30 Global Stability of Zika Virus Santiago de Chile, Chile; Edgar Knobloch, Heterogeneous Reservoirs Mathematical Model with Recurrence University of California, Berkeley, USA Watheq J. Al-Mudhafar and Dandina N. Rao, Based on Treatment 2:15-2:30 Stretching and Speed Louisiana State University, USA Ram Singh, Baba Ghulam Shah Badshah in Excitable Advection-Reaction- University, India 2:35-2:50 Understanding the Diffusion Systems Geometry of Transport: Diffusion 2:35-2:50 Geometric Analysis of Fast- Douglas H. Kelley, University of Rochester, Maps for Lagrangian Trajectory Data Slow Models for Stochastic Gene USA Unravel Coherent Sets. Expression 2:35-2:50 Analysis of Pattern Ralf Banisch, Freie Universität Berlin, Frits Veerman and Nikola Popovic, Emergence in Turing Systems with Germany; Peter Koltai, Freie Universitaet University of Edinburgh, United Kingdom; Inhomogeneity in Reaction Term Berlin, Germany Carsten Marr, Helmholtz Zentrum Michal Kozak and Vaclav Klika, Czech München, Germany 2:55-3:10 Lagrangian Chaos in Technical University, Prague, Czech a Differentially-Heated Three- 2:55-3:10 Dynamic Responses of a Republic; Eamonn Gaffney, University of Dimensional Cavity Steroidogenic Regulatory Network to Oxford, United Kingdom Sebastian Contreras Osorio, Michel Physiological Perturbations Speetjens, and Herman Clercx, Eindhoven Eder Zavala, University of Exeter, United University of Technology, Netherlands Kingdom; Francesca Spiga, University of Bristol, United Kingdom; Jamie Walker, University of Exeter, United Kingdom; Zidong Zhao and Stafford Lightman, University of Bristol, United Kingdom; John Terry, University of Exeter, United Kingdom 66 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 CP6 CP7 MS96 Spatiotemporally Complex 1:15 PM-3:15 PM 1:15 PM-3:15 PM Patterns Room:Magpie A Room:White Pine 3:45 PM-5:45 PM Chair: Spencer A. Smith, Mount Holyoke Chair: Korana Burke, University of Room:Ballroom 1 College, USA California, Davis, USA The intriguing features of patterns 1:15-1:30 Homotopy Method for 1:15-1:30 Phase Space Transport in observed in isotropic and anisotropic Characterizing Topological Chaos in Hydrogen in Crossed Fields: Role of the media driven far from equilibrium Three Dimensions Local Surface of Section through external forces have motivated Spencer A. Smith, Mount Holyoke College, Korana Burke, University of California, Davis, a wide range of experimental and USA; Joshua Arenson and Kevin A. USA; Kevin A. Mitchell, University of theoretical studies. This minisymposium Mitchell, University of California, Merced, California, Merced, USA brings together experimentalists and USA 1:35-1:50 Internal Transport Barriers in theorists studying spatiotemporally 1:35-1:50 When Chaos Meets Plasmas with Reversed Plasma Flow complex patterns. Mathematical methods Hyperchaos: a Computer-Assisted Ibere L. Caldas and Rafael Ferro, University include amplitude and phase equations Proof on the 4D Rossler Model of Sao Paulo, Brazil and topological data analysis. Roberto Barrio, Angeles Martinez, and Sergio 1:55-2:10 Whole-Building Fault Organizer: Patrick Shipman Serrano, University of Zaragoza, Spain; Detection: A Scalable Approach Using Daniel Wilczak, Jagiellonian University, Spectral Methods Colorado State University, USA Krakow, Poland Michael Georgescu, Ecorithm, Inc., USA Organizer: Gerhard 1:55-2:10 Bounding Time Averages 2:15-2:30 Numerical Study of Mixed Rigorously Using Semidefinite Dangelmayr Convection Effects in a Ventilated Colorado State University, USA Programming Room with Different Locations of David Goluskin, Columbia University, USA Thermosolutal Block Organizer: Iuliana Oprea 2:15-2:30 Pseudorandom Number Neha Gupta and Ameeya Nayak, Indian Colorado State University, USA Generation Using Chaotic True Orbits Institute of Technology Roorkee, India 3:45-4:10 The Phase Structure of Grain of the Bernoulli Map on Algebraic 2:35-2:50 Newton-Krylov Continuation Boundaries Integers for Annular Electroconvection Joceline Lega, University of Arizona, USA Asaki Saito, Future University-Hakodate, Greg Lewis and Jamil Jabbour, University of Japan; Akihiro Yamaguchi, Fukuoka 4:15-4:40 Time-Dependent Ontario Institute of Technology, Canada; University, Japan Spatiotemporal Chaos in Pattern- Mary Pugh and Stephen Morris, University Forming Systems with Two Length 2:35-2:50 The Search for the Smallest of Toronto, Canada Scales Chimera 2:55-3:10 Rotating Stall in Alastair M. Rucklidge, Priya Subramanian, Tomasz Kapitaniak, Technical University of Turbomachinery Compressors: a and Jennifer Castelino, University of Leeds, Lodz, Poland Dynamical Systems Approach United Kingdom 2:55-3:10 Chimeras and Chaotic Mean Carlos Martel, Universidad Politécnica de 4:45-5:10 How to Wake the Homoclinic Field Dynamics in Two Populations of Madrid, Spain Snake on the Surface of a Ferrofluid Phase Oscillators with Heterogeneous Reinhard Richter, University of Bayreuth, Phase-Lag Germany Erik A. Martens, Max Planck Institute for Dynamics and Self-Organization, Germany; Coffee Break 5:15-5:40 Spatiotemporal Dynamics in the Space of Persistence Diagrams Christian Bick, University of Oxford, 3:15 PM-3:45 PM United Kingdom; Mark J. Panaggio, Francis Motta, Duke University, USA Northwestern University, USA Room:Golden Cliff SIAM Conference on Applications of Dynamical Systems 67

Tuesday, May 23 4:45-5:10 The Extreme Weather- Tuesday, May 23 Causing Patterns of the Midlatitudes MS97 Pedram Hassanzadeh, Rice University, USA MS98 Rare Extreme Phenomena in 5:15-5:40 Predicting the Intraseasonal Computational Psychiatry: Precipitation Monsoon Through a Low- Dynamical Systems - Part I Order Nonlinear Stochastic Model with Mechanisms, Diagnosis, of II Intermittency and Treatment of Depressive Nan Chen, A Majda, Sabeerali Thelliyil, and Disorders 3:45 PM-5:45 PM Ajaya Ravindran, New York University, Room:Ballroom 2 USA 3:45 PM-5:45 PM For Part 2 see MS110 Room:Ballroom 3 Rare, extreme events are widespread in This minisymposium will highlight natural and engineering systems, with recent research into mathematical well-known examples such as ocean psychiatry, focusing on psychological rogue waves, extreme weather patterns stress response and depressive disorders. and shock waves in power grids. Over The quantitative study of psychiatric the last few years, the dynamical systems disorders is a relatively undeveloped community has made several important area of mathematical research. The contributions to the understanding, “high dimensionality” of the problem prediction and control of rare extreme and the qualitative clinical features phenomena. These efforts have led used for diagnosis makes quantitative to the development of novel methods predictive analyses challenging. The tailored specifically towards tackling purpose of this minisymposium is to bring extreme events. These methods rely together researchers who mathematically on various mathematical tools such conceptualize depressive disorders at as probability and information theory, different levels. The goal is to motivate invariant manifold theory, uncertainty ideas and mathematical approaches that quantification and network theory. This connect the more detailed physiological minisymposium aims to feature the recent models with the more conceptualized developments in the field and to explore caricatures of depressive disorder. the potential contributions each approach can make to the others. Organizer: Tom Chou University of California, Los Angeles, USA Organizer: Mohammad Organizer: Maria D’Orsogna Farazmand California State University, Northridge, USA Massachusetts Institute of Technology, USA 3:45-4:10 A Multiple Timescale Model Organizer: Themistoklis Sapsis of H-P-A Axis Dynamics: Onset, Massachusetts Institute of Technology, USA Timing, and Exposure Therapy of Stress Disorders 3:45-4:10 No Equations, No Parameters No Variables - Data and the Lae Un Kim, University of California, Los Reconstruction of Normal Forms for Angeles, USA; Maria D’Orsogna, California Parametrically Dependent Dynamical State University, Northridge, USA; Tom Systems Chou, University of California, Los Angeles, Ioannis Kevrekidis, Princeton University, USA USA 4:15-4:40 Modeling Neural Circuit Dysfunction in Schizophrenia: Effects of 4:15-4:40 Rogue Waves and Disrupted Excitation-Inhibition Balance Large Deviations in the Nonlinear Schroedinger Equation with Random John Murray, Yale University, USA Initial Data 4:45-5:10 Bipolar Disorder Dynamics: Eric Vanden-Eijnden and Tobias Grafke, Multiscale Mathematical Approaches Courant Institute of Mathematical Sciences, for Translational Benefits New York University, USA; Giovanni Michael Bonsall, University of Oxford, United Dematteis, New York University, USA Kingdom 5:15-5:40 Using Mathematical Models of Biological Processes in Genome- continued in next column wide Association Studies of Psychiatric Disorders Amy Cochran, University of Michigan, USA 68 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 4:15-4:40 The Detection of Lagrangian Transport Structures in a Coral Reef MS99 MS100 Atoll: A Field Experiment Margaux Filippi, Massachusetts Institute of Complex Oscillations Recent Advances in Technology, USA; Alireza Hadjighasem, in Multiple-time-scale Characterization of ETH-Zentrum, Switzerland; Matt Rayson Problems: Theory and Nonautonomous Dynamical and Gregory Ivey, University of Western Australia, Australia; Thomas Peacock, Applications Transport - Part II of II Massachusetts Institute of Technology, USA 3:45 PM-5:45 PM 3:45 PM-5:45 PM 4:45-5:10 Phase Space Structures in Velocity Space for Gliding and Falling Room:Primrose A Room:Primrose B Bodies Differences in time scales are manifested For Part 1 see MS94 Gary K. Nave, Isaac Yeaton, and Shane D. in many areas of applications; well- Quantifying fluid transport is of Ross, Virginia Tech, USA known examples are chemical reactions, importance at all scales, ranging from 5:15-5:40 Go With the Flow, on Jupiter neuronal excitability and lasers. These microfluidic to geophysical. From and Snow, Coherence From Video phenomena exhibit complex oscillations the dynamical systems perspective, Data Without Trajectories such as spikes, bursts and mixed-mode material particles are advected by Erik Bollt and Abd Alrahman R. Almomani, oscillations, which can be modeled by unsteady velocity fields; therefore, Clarkson University, USA multiple-time-scale systems. Approaches particle trajectories are solutions to from both theory and numerical methods nonautonomous dynamical systems. have been used to understand the Simulated models readily admit mechanisms for complex oscillations techniques that use both velocity fields arising in such systems. The aim of this and particle trajectories. However, minisymposium is to bring together experiments and field observations rarely experts from theory, numerical methods produce concurrent velocity fields and and applications to discuss contemporary particle trajectories and often focus only ideas and open problems in the field of on either velocities or trajectories. As a dynamical systems with multiple-time result of difficulties of characterizing, scales. quantifying, and optimizing transport in nonautonomus systems in a data- Organizer: Jose Mujica compatible manner has led to the ongoing University of Auckland, New Zealand development of many mathematical and Organizer: Cris Hasan computational tools. This minisymposium University of Auckland, New Zealand highlights recent developments in these 3:45-4:10 Complex Dynamics in a directions, drawing on quite diverse Conceptual Model of El Niño perspectives: nonautonomous dynamics, John Guckenheimer, Cornell University, topological methods, model- and data- USA driven methods, control theory, with applications in mechanics, oceanography, 4:15-4:40 Generic Torus Canards and a Novel Class of Bursting Rhythms planetary science, and image processing. Theodore Vo, Boston University, USA Organizer: Marko Budisic 4:45-5:10 Timescales and Clarkson University, USA Mechanisms of Sigh-like Bursting and Spiking in Models of Rhythmic Organizer: Sanjeeva Balasuriya Respiratory Neurons University of Adelaide, Australia Yangyang Wang, Ohio State University, 3:45-4:10 Unsteadily Manipulating USA; Jonathan E. Rubin, University of Internal Flow Barriers Pittsburgh, USA Sanjeeva Balasuriya, University of Adelaide, 5:15-5:40 Complex Action Potential Australia Firing in Developing Inner Hair Cells Krasimira Tsaneva-Atanasova, University of Exeter, United Kingdom; Daniele Avitabile, University of Nottingham, United Kingdom; Harun Baldemir, University of Exeter, United Kingdom

continued in next column SIAM Conference on Applications of Dynamical Systems 69

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS101 MS102 MS103 Applications and Numerical Differential Equations with Recent Results on Traveling Methods in Nonautonomous State-dependent Delay Waves in Systems of PDEs - Systems 3:45 PM-5:45 PM Part I of II 3:45 PM-5:45 PM Room:Magpie B 3:45 PM-5:45 PM Room:Maybird If some of the arguments in an otherwise Room:Wasatch B ordinary differential equations are Nonautonomous systems are used for For Part 2 see MS116 delayed, the state space of the system modeling in a range of applications, This minisymposium will focus on becomes infinite-dimensional. If, in including conceptual climate and recent results in the area of of traveling addition, the delay depends on the state, ecological models and weather. waves and related structures, obtained by several common assumptions needed for Approaches to nonautonomous either numerical or analytic techniques. classical dynamical systems theory, such systems include analytic and numerical Existence, stability, dynamic properties, as smooth dependence of the semiflow techniques for stability theory (pullback and bifurcations of these special on initial conditions, are violated. The attractors, finite time Lyapunov solutions will be addressed. minisymposium will present advances exponents), as well as data assimilation in underlying theory, numerical methods Organizer: Anna Ghazaryan with time- dependent feedbacks. and analysis, and practical applications Miami University, USA This minisymposium brings together where this type of dynamical systems researchers within these various Organizer: Stephane Lafortune occur as models. areas of expertise to present possible College of Charleston, USA connections between methods and Organizer: Jan Sieber Organizer: Vahagn Manukian applications. University of Exeter, United Kingdom Miami University Hamilton, USA Organizer: Alanna Hoyer- Organizer: Tony R. Humphries 3:45-4:10 Computation and Stability Leitzel McGill University, Canada of Waves in Second Order Evolution Equations Mount Holyoke College, USA 3:45-4:10 Modelling Myelopoiesis with Wolf-Juergen Beyn, Universität Bielefeld, State-Dependent Delay Differential Germany; Simon Dieckmann and Christian Organizer: Alice Nadeau Equations Doeding, Bielefeld University, Germany University of Minnesota, USA Tony R. Humphries, McGill University, 3:45-4:10 Connections Between Canada 4:15-4:40 Defect Induced Target Waves in Reaction Diffusion Systems Rate-Induced Tipping and 4:15-4:40 A Differential Equation with Gabriela Jaramillo, University of Arizona, Nonautonomous Stability Theory State-Dependent Delay Describing USA Alanna Hoyer-Leitzel, Mount Holyoke Stem Cell Maturation - Stability and College, USA; Alice Nadeau, University Oscillations 4:45-5:10 Spectral Stability of Solutions of Minnesota, USA; Andrew Roberts, Philipp Getto, University of Szeged, Hungary; to the Vortex Filament Hierarchy Cornell University, USA; Andrew J. Dimitri Breda, University of Udine, Italy; Stephane Lafortune and Thomas Ivey, Steyer, University of Kansas, USA Gergely Rost, University of Szeged, College of Charleston, USA 4:15-4:40 A Nonautonomous Hungary; Francesca Scarabel, University of 5:15-5:40 Stability of PT Symmetric Spectral Stability Theory for Ordinary Helsinki, Finland; Tibor Krisztin and Istvan Ground States for Schrodinger and Differential Initial Value Problem Balazs, University of Szeged, Hungary; Klein-Gordon Equations in Higher Solvers Yukihiko Nakata, Shimane University, Space Dimensions Andrew J. Steyer and Erik Van Vleck, Japan Milena Stanislavova, University of Kansas, University of Kansas, USA 4:45-5:10 Lyapunov-Razumikhin Lawrence, USA 4:45-5:10 Continuous Data Techniques for State-Dependent Delay Assimilation for Geophysical Differential Equations Flows Employing Only Surface Felicia Magpantay, University of Manitoba, Measurements Canada Michael S. Jolly, Indiana University, USA 5:15-5:40 Resonance Phenomena in 5:15-5:40 Early-Warning Indicators for a Delay Differential Equation with Two Rate-Induced Tipping State Dependent Delays Paul Ritchie, University of Exeter, United Renato Calleja, Universidad Nacional Kingdom Autónoma de México, Mexico; Bernd Krauskopf, University of Auckland, New Zealand 70 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Tuesday, May 23 Tuesday, May 23 MS104 MS105 MS106 Dynamical Systems Dynamics and Complexity in Nonlinear Dynamics in Approaches to Geophysical the Auditory Sensing System Optics - Part I of II Extreme Events - Part I of II 3:45 PM-5:45 PM 3:45 PM-5:45 PM 3:45 PM-5:45 PM Room:Wasatch A Room:Superior B Room:Superior A For Part 2 see MS119 Nonlinear dynamical systems find their The dynamical extremes are well-known For Part 2 see MS118 applications in many areas of optics. objects in dynamical systems theory The auditory system displays remarkable This minisymposium is devoted to the because they are associated to special mechanical sensitivity and frequency recent progress that has been made in states of the system. In simple set-ups, discrimination. These attributes have the modeling of optical phenomena they have been already recognized by been shown to rely on an amplification including topics such as Maxwell-Bloch the work of Poincaré. Since its work, process, which requires both biochemical Equations, Delay Differential Equations several contributions have allowed to and mechanical feedback loops, and of a semiconductor laser, Nonlinear study these rare recurrences of states in leads to spatially localized oscillations modal interactions in micro-ring cavities, dynamical systems arising in geophysical inside the cochlea. In general, the origin PT-symmetric systems, Light-Matter applications. These dynamical extremes of oscillatory localization can range Interaction dynamics, Computational are special because they correspond to from passive to dissipative mechanisms; aspects of high oscillations and more. the unstable fixed points of the equations however, specific mechanisms of cochlear that generate the attractor. Recent works amplification remain a puzzle. The goal Organizer: Alexey Sukhinin have developed metrics from dynamical of this minisymposium is to survey the University of Vermont, USA system theory to study such extremes development of theory of hearing and to by determining the relevant properties scrutinize the connections between these Organizer: Dmitry Rachinskiy of the attractor such as the dimensions models and experiments, at scales ranging University of Texas at Dallas, USA and the persistence of the trajectory at from individual hair cells to the spatially 3:45-4:10 Nonlinear Dynamics of each point. In this minisymposium, we extended cochlea. Parity-tme (PT) Symmetric Lasers intend to gather together different experts Alexey Sukhinin and Jianke Yang, University Organizer: Arik Yochelis in dynamical systems theory, statistical of Vermont, USA Ben Gurion University, Israel mechanics, climate dynamics and 4:15-4:40 Bifurcation of Nonlinear multivariate extreme value theory to tackle Organizer: Dolores Bozovic Bound States from Eigenvalues and problems in dynamic geophysical extreme University of California, Los Angeles, USA from Spectral Intervals in PT-symmetric Systems events.. 3:45-4:10 Nonlinear Dynamics of Inner Tomas Dohnal, Technische Universität Ear Hair Cells Organizer: Yuzuru Sato Dortmund, Germany; Dmitry Pelinovsky, Dolores Bozovic, Justin Faber, Yuki Quinones, Hokkaido University, Japan McMaster University, Canada; Petr Siegl, and S. W. F. Meenderink, University of University of Bern, Switzerland Organizer: Davide Faranda California, Los Angeles, USA; Michael 4:45-5:10 Faster and More Accurate CNRS / LSCE, France Levy, Weizmann Institute of Science, Israel Computations for Certain Highly 3:45-4:10 Dynamical Proxies of North 4:15-4:40 Signal Detection by Active, Oscillatory Wave Problems Noisy Oscillators on the Brink of Self- Atlantic Predictability and Extremes Qin Sheng, Baylor University, USA Davide Faranda, CNRS / LSCE, France Oscillation Daibhid O Maoileidigh, Joshua Salvi, and AJ 5:15-5:40 Long-time Dynamics and 4:15-4:40 The Extremal Index Hudspeth, Rockefeller University, USA Interaction of Ultrashort Light Pulses for the AR(1) Process: Finite Size Michail Todorov, Technical University of 4:45-5:10 Nonlinear Micromechanics Considerations Sofia, Bulgaria Nicholas Moloney, London Mathematical of the Organ of Corti in the Low- Laboratory, United Kingdom Frequency Region of the Cochlea Tobias Reichenbach and Nikola Ciganovic, 4:45-5:10 Extreme Value Theory in Imperial College London, United Kingdom; Dynamical Systems Rebecca Warren and Batu Keceli, Sandro Vaienti, Centre de Physique Théorique University of Linköping, Sweden; Stefan - CNRS, France Jacob, Karolinska Institutet, Sweden; 5:15-5:40 Stochastic Bifurcation in Anders Fridberger, University of Linköping, Random Logistic Maps Sweden Yuzuru Sato, Hokkaido University, Japan 5:15-5:40 Symmetries and Asymmetries in Cochlear Mechanics Christopher Shera, University of Southern California, USA SIAM Conference on Applications of Dynamical Systems 71

Tuesday, May 23 3:45-4:10 Network Identification Tuesday, May 23 Based on Koopman Operator Theory MS107 Alexandre Mauroy, University of Liege, MS108 Belgium Advanced Data-driven Vortices in Excitable Media: Techniques and Numerical 4:15-4:40 Koopman Operator Framework for Nonlinear Time Series Theory and Experiment Methods in Koopman Analysis 3:45 PM-5:45 PM Operator Theory - Part I of II Amit Surana, United Technologies Research Center, USA Room:White Pine 3:45 PM-5:45 PM 4:45-5:10 Hankel Alternative View Spiral and scroll waves are the most Room:Magpie A Of Koopman (Havok) Analysis of common types of solutions characterizing For Part 2 see MS120 Chaotic Systems the dynamics of two- and three- The Koopman operator governs the Steven Brunton and Bingni W. Brunton, dimensional excitable media. This evolution of “observable-functions” University of Washington, USA; minisymposium presents recent theoretical of the state space, thereby offering Joshua L. Proctor, Institute for Disease and experimental developments in an alternative framework to describe Modeling, USA; Eurika Kaiser and the field with the focus on the role of complex, nonlinear dynamical systems. Nathan Kutz, University of Washington, wave interaction with intrinsic and USA It turns a nonlinear system into a linear extrinsic perturbations and the effects (but infinite-dimensional) system that can 5:15-5:40 A Toolbox for Computing of heterogeneities in the medium on the be studied through spectral properties Spectral Properties of Dynamical spiral/scroll wave dynamics. Systems (e.g. eigenvalues, eigenfunctions, and Organizer: Roman Grigoriev so-called Koopman modes). Moreover, Nithin Govindarajan, University of California, Santa Barbara, USA Georgia Institute of Technology, USA this framework has a direct connection to data-driven requirements for analysis Organizer: Vadim N. Biktashev and design of complex dynamics University of Exeter, United Kingdom emerging in real-world applications. 3:45-4:10 The Role of Conduction Block Thus, Koopman operator theory yields in Spiral Breakup and Merger efficient data-driven techniques and Roman Grigoriev and Christopher Marcotte, numerical methods such as dynamic Georgia Institute of Technology, USA mode decomposition. These have a broad 4:15-4:40 Filament Tension and Phase spectrum of applications, as diverse Locking of Meandering Scroll Waves as fluid mechanics, power systems Hans Dierckx, Ghent University, Belgium engineering, network inference, and 4:45-5:10 Periodic Sequence of control engineering. This minisymposium Stabilized Wave Segments in Excitable aims to report on new developments of Media this frontier field in dynamical systems Vladimir Zykov and Eberhard Bodenschatz, and to discuss them with the audience Max Planck Institute for Dynamics and Self- of SIAM Conference on Dynamical Organization, Germany Systems (DS). The topics developed in 5:15-5:40 Scroll Wave Drift and the session are data-driven techniques Interaction in Excitable Systems with for system identification and time-series Height Variations analysis (1,2), analysis of chaotic systems Dayton Syme and Oliver Steinbock, Florida (3), numerical approximation of spectral State University, USA densities (4), reduced-order modeling (5), nonlinear modal decompositions (6,7), and data-driven embeddings (8). The set of the topics is illustrated by the Dinner Break diversity of the eight speakers, which are 5:45 PM-8:30 PM invited from multiple parts of the world. Attendees on their own This diversity is suitable for a highly international conference like DS. Organizer: Yoshihiko Susuki SIADS Editorial Board Meeting Osaka Prefecture University, Japan 6:30 PM-8:30 PM Organizer: Alexandre Mauroy Room:Aerie Restaurant (Mountain Private University of Liege, Belgium Dining Room) continued in next column 72 SIAM Conference on Applications of Dynamical Systems

Tuesday, May 23 Hybrid Statistical and Mechanistic Stability of Vortex Solitons for Even- Model Guides Mobile Health Dimensional Focusing NLS PP1 Intervention for Chronic Pain Wen Feng and Milena Stanislavova, Sara Clifton and Daniel Abrams, University of Kansas, USA Poster Session and Dessert Northwestern University, USA; Chaeryon Bifurcation Analysis of a Central Reception Kang, University of Pittsburgh, USA; Pattern Generator Microcircuit in the Jessica Li, University of California, Los 8:30 PM-10:30 PM Xenopus Tadpole Spinal Cord Angeles, USA; Qi Long, University of Andrea Ferrario, Roman M. Borisyuk, Room:Ballroom Pennsylvania, USA; Nirmish Shah, Duke and Robert Merrison-Hort, Plymouth University, USA Entropy and Dynamical Systems University, United Kingdom Raymond Addabbo, Vaughn College of Bifurcation Theory and Phase-Lag Hiding the Squid Variance in 3-Node Neural Networks Aeronautica and Technology, USA; Aaron Fishman and Jonathan Rossiter, Denis Blackmore, New Jersey Institute of Jarod Collens, Deniz Alacam, Aaron Kelly, University of Bristol, United Kingdom; Technology, USA Drake Knapper, and Andrey Shilnikov, Martin Homer, University of Bristol, Georgia State University, USA Neuronal Motifs - Multistability Using United Kingdom Hybrid Computational Approaches On a Mathematical Model for the Cascades of Saddle Periodic Orbits Sunitha Basodi, Krishna Pusuluri, and Andrey Multiplex Line Graph and Their Manifolds Close to a Shilnikov, Georgia State University, USA Regino Criado, Julio Flores, and Alejandro Homoclinic Flip Bifurcation. García del Amo, Universidad Rey Computing the Optimal Path in Andrus A. Giraldo, Bernd Krauskopf, and Juan Carlos, Spain; Miguel Romance, Stochastic Dynamical Systems Hinke M. Osinga, University of Auckland, Technical University of Madrid, Spain; New Zealand Martha Bauver, Lora Billings, and Eric Eva Barrena, Universidad de Granada, Forgoston, Montclair State University, USA Spain; Juan A. Mesa, Universidad de Parameterization Method for Gabaergic Synaptic Mechanisms in Sevilla, Spain Parabolic Pdes Information Transmission Jorge L. Gonzalez, Jason Mireles-James, A Robust Torus Used to Control Chaos and Necibe Tuncer, Florida Atlantic Elham Bayat-Mokhtari and Emily F. Stone, in Wave-Particle Interactions University, USA University of Montana, USA Meirielen C. De Sousa, Universidade de Sao Contrasting Epidemic Control in Paulo, Brazil; Ibere L. Caldas, University Computing the Unstable Manifolds of Ordinary and Delay Differential of Sao Paulo, Brazil Delay Differential Equations Equations Chris M. Groothedde, VU University, Lyapunov-Type Inequalities for Amsterdam, Netherlands Adrienna Bingham, The College of William & α-Th Order Fractional Differential Mary, USA; Leah Shaw, College of William Equations with 2 α ≥3 and Fractional Diffusion and Drift in Volume- & Mary, USA Boundary Conditions Preserving Maps Chaotic Advection in the Alboran Sougata Dhar and Qingkai Kong, Northern Nathan Guillery and James D. Meiss, Sea: Lagrangian Analysis of Transport Illinois University, USA University of Colorado Boulder, USA Processes in and Out of the Western Breaking the Vicious Limit Cycle: Streamwise Localization of Traveling Alboran Gyre Addiction Relapse-Recovery As a Wave Solutions in Channel Flow Genevieve Brett, Massachusetts Institute of Fast-Slow Dynamical System Daniel Gurevich, Georgia Institute of Technology, USA; Larry Pratt and Irina Jacob P. Duncan and Kimberly Orlando, Technology, USA; Joshua Barnett, Rypina, Woods Hole Oceanographic Saint Mary’s College, USA Georgia State University, USA; Institution, USA Roman Grigoriev, Georgia Institute of A Mathematical Model of Parallel A Novel Speech-Based Diagnostic Technology, USA Quorum Sensing Test for Parkinson’s Disease Integrating Gaoyang Fan and Paul C. Bressloff, Dynamics of Delay Logistic Machine Learning with Application University of Utah, USA Difference Equation in the Complex Development for Cloud Deployment Plane Pooja Chandrashekar, Harvard University, Computing Stable Manifolds of a Sk Sarif Hassan, University of Petroleum USA Saddle Slow Manifold and Energy Studies, India Saeed Farjami and Hinke M. Osinga, Synchronization of Electrically University of Auckland, New Zealand; Beyond Ensemble Averaging in Coupled Hybrid Neuron Models Vivien Kirk, University of Auckland, New Turbulent Combustion Thomas Chartrand, Timothy Lewis, and Mark Zealand Malik Hassanaly and Venkat Raman, Goldman, University of California, Davis, University of Michigan, USA USA

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The Parametrization Method for Center Information Processing Based Optimal Regularization for Prediction Manifolds on Mutually Delay-Coupled in Nonlinear Dynamical Inverse Wouter A. Hetebrij, VU University, Optoelectronic Oscillators Problems Amsterdam, Netherlands Keisuke Nagatoshi, Kazutaka Kanno, and Paul Rozdeba, University of California, San Masatoshi Bunsen, Fukuoka University, Diego, USA Time Series Analysis of Tropically Japan Linear Systems Center Manifolds Via Lyapunov- James Hook, University of Bath, United Investigation of Disease Invasion Using Perron Kingdom a Stochastic SIRK Model Emily Schaal and Yu-Min Chung, College of Garrett Nieddu, Lora Billings, and Eric William & Mary, USA Graph Automorphisms and Dynamical Forgoston, Montclair State University, USA Patterns in Complex Networks Using the Atomic Force Microscope Ian M. Hunter, Fraden Lab, USA; Seth Finite-Time Attractors and Clustering of to Measure Stiffness at the Nano- Fraden and Michael M. Norton, Brandeis Inertial Particles in Fluid Flows Scale University, USA; REMI Boros, Fraden David Oettinger and George Haller, ETH Namid Shatil, University of Bristol, United Lab, USA; Thomas Litschel, Brandeis Zürich, Switzerland Kingdom; Martin Homer, University of University, USA Chaos and Global Bifurcations in the Bristol, United Kingdom; Loren Picco and Oliver Payton, University of Bristol, Synchronization and Clustering of Rock-Scissors-Paper Bimatrix Game United Kingdom Stochastically-Driven Mixed-Mode Cezary Olszowiec, Imperial College London, Oscillators United Kingdom Cone-Dynamical Discriminants: Decoding Neural Velocity Avinash J. Karamchandani, James Graham, Activity Patterns of Neuronal Network and Hermann Riecke, Northwestern with Voltage-Sensitive Piecewise Matthew Singh and ShiNung Ching, University, USA Smooth Coupling Washington University, St. Louis, USA Coupling Sample Paths to the Partial Choongseok Park, North Carolina A&T Effects of Time-Delay in a Model of Thermodynamic Limit in Stochastic State University, USA; Jonathan E. Rubin, Motor Coordination Chemical Reaction Networks University of Pittsburgh, USA Piotr Slowinski and Krasimira Tsaneva- Ethan Levien and Paul C. Bressloff, Adaptive Neuronal Networks in Atanasova, University of Exeter, United University of Utah, USA Olfaction: Mechanism of Network Kingdom; Bernd Krauskopf, University of Auckland, New Zealand 28 Models Later: Best Practices for Evolution and Information Processing Modeling the Zombie Apocalypse with Jaesuk Park and Hongyu Meng, Northwestern Predicting Financial Stock Crashes Real Data University, USA; Martin Wiechert, Using Ghost Singularities Ian McGahan, Utah State University, USA University of Berne, Switzerland; Hermann Damian T. Smug and Peter Ashwin, Riecke, Northwestern University, USA Fractional Order Compartment Models University of Exeter, United Kingdom; Didier Sornette, ETH Zürich, Switzerland Anna V. Mcgann, Christopher N. Angstmann, Quantifying the Role of Folding in Bruce I. Henry, John Murray, James Nonautonomous Flows: the Unsteady Stability of Entrainment in Coupled Nichols, and Austen Erickson, University of Double Gyre Oscillators New South Wales, Australia Kanaththa G. Priyankara and Erik Bollt, Jordan Snyder, University of California, Clarkson University, USA; Sanjeeva Davis, USA; Anatoly Zlotnik and Aric Interjump Statistics of State-Dependent Balasuriya, University of Adelaide, Jump-Diffusion Processes Hagberg, Los Alamos National Laboratory, Australia USA Christopher E. Miles and James P. Keener, University of Utah, USA Prediction of Dynamical Systems by Time-Variant Estimation of Symbolic Regression Connectivity Amplitude and Frequency for a Markus Quade, University of Potsdam, Nonlinear Oscillator by Homotopy Linda Sommerlade, University of Aberdeen, Germany; Markus W Abel, Universität Analysis Method United Kingdom; Claude Wischik, TauRx Potsdam, Germany; Kamran Shafi, Therapeutics Ltd., Singapore; Bjoern Jonathan Mitchell, Stephen F. Austin State University of New South Wales, Australia; Schelter, University of Aberdeen, United University, USA Robert K. Niven, The University of New Kingdom Spatially Localized Comb-like South Wales, Australia; Bernd Noack, Dynamical Characterizations of Turing Patterns Embedded in Hopf Technical University Braunschweig, Complex Behavior in Consensus Oscillations Germany Networks with Stochastic Link Failures Paulino Monroy, Universidad Nacional Ensemble-Based Topological Entropy Xin Su and Theodore Pavlic, Arizona State Autónoma de México, Mexico; Arik Computation University, USA Yochelis, Ben Gurion University, Israel Eric Roberts, Kevin A. Mitchell, and Suzanne Sindi, University of California, Merced, USA

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Information Theoretical Noninvasive Demographic Noise Slows Down Damage Detection in Bridge Structures Cycles of Dominance in Ecological Wednesday, Amila N. Sudu Ambegedara, Jie Sun, Models Kerop Janoyan, and Erik Bollt, Clarkson Qian Yang, University of Bath, United May 24 University, USA Kingdom 3D Super-Lattice Solutions in Reaction- A Stable Numerical Algorithm for Diffusion Systems Calculating the Rate of Exponential Registration Forgetting in HMM Timothy K. Callahan and Rebecca Tobin, 8:00 AM-4:15 PM Embry-Riddle Aeronautical University, Xiaofeng Ye, Yian Ma, and Hong Qian, USA University of Washington, USA Room:Ballroom Foyer Topological Complexity of the Interactions of Solitary Pulses of E. Greenberg-Hastings Cellular Coli in a One-Dimensional Nutrient Automata Gradient Dennis Ulbrich, Jens Rademacher, and Glenn S. Young, Pennsylvania State Marc Keßeböhmer, University of Bremen, University, USA; Mahmut Demir, Yale Germany University, USA; Hanna Salman, Bard Ermentrout, and Jonathan E. Rubin, A Mathematical Model for Post- University of Pittsburgh, USA Replicative DNA Methylation Dynamics Non-Cooperative Games with Cost of Information Kiersten Utsey and James P. Keener, University of Utah, USA Andrew Belmonte and Matthew Young, Pennsylvania State University, USA Balancing with Different Sensory Delays Lateral Inhibition Networks in Rat Olfactory Bulb Balazs Varszegi and Tamas Insperger, Budapest University of Technology and Daniel R. Zavitz, Alla Borisyuk, Matt Economics, Hungary Wachowiak and Isaac Youngstrom, University of Utah, USA Study of Some Nonlocal Transport Equations: Application to Stochastic An Investigation of a Structured Neural Dynamics Fisher’s Equation with Applications in Biochemistry Romain Veltz, Inria Sophia Antipolis, France John Nardini, University of Colorado Resource-Transport Dynamics Induces Boulder, USA; D. M. Bortz, University of Criticality in Networks of Excitable Colorado, USA Nodes Yogesh Virkar, University of Colorado Boulder, USA; Woodrow Shew, University of Arkansas, USA; Juan G. Restrepo, University of Colorado Boulder, USA; Edward Ott, University of Maryland, USA Hamiltonian Structure and Stability Results for Idealised Flows on a Three Dimensional Periodic Domain Joachim Worthington, University of Sydney, Australia Bifurcations in the Piecewise-Linear Standard Nontwist Map Alexander Wurm, Western New England University, USA Weak-Noise-Induced Transitions with Inhibition and Modulation of Neural Spiking Dynamics Emar Marius Yamakou and Juergen Jost, Max Planck Institute for Mathematics in the Sciences, Germany

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Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS109 MS110 MS111 The Motion of Interfaces Rare Extreme Phenomena in Data-driven Modeling and and Free Boundaries in Dynamical Systems - Part II Prediction of Dynamical Interdisciplinary Science of II Systems - Part I of II 8:30 AM-10:30 AM 8:30 AM-10:30 AM 8:30 AM-10:30 AM Room:Ballroom 1 Room:Ballroom 2 Room:Ballroom 3 The natural world exhibits many For Part 1 see MS97 For Part 2 see MS124 nonlinear phenomena characterized Rare, extreme events are widespread in An emerging problem in computational by the separation of and interaction natural and engineering systems, with science is to build effective models between regions with different behavior. well-known examples such as ocean of dynamical processes using various The motion of the interface or boundary rogue waves, extreme weather patterns types of data, and to use such models between these regions is frequently and shock waves in power grids. Over to make statistical predictions of more important than the underlying the last few years, the dynamical systems complex dynamics. This is especially dynamics within the region itself. community has made several important useful when a first-principles model is Examples occur in widely disparate contributions to the understanding, either unavailable or too complex to be fields, such as in the growth of tumors prediction and control of rare extreme practical. Recent progress in this area or in the spread of instability and phenomena. These efforts have led has made use of diverse ideas from radicalization. This minisymposium will to the development of novel methods dynamical systems, nonequilibrium bring together researchers with expertise tailored specifically towards tackling statistical mechanics, and stochastic in conservation laws, singularly extreme events. These methods rely processes. The purpose of this perturbed systems, and modeling to on various mathematical tools such minisymposium is to bring together discuss their understanding of interfacial as probability and information theory, researchers developing different data- flows and the insights that this invariant manifold theory, uncertainty driven modeling approaches, as well understanding brings to interdisciplinary quantification and network theory. This as those working on applications to science. minisymposium aims to feature the recent computational science, data assimilation, developments in the field and to explore and uncertainty quantification. Organizer: Scott McCalla the potential contributions each approach Organizer: Kevin K. Lin Montana State University, USA can make to the others. University of Arizona, USA Organizer: James von Brecht Organizer: Mohammad California State University, Long Beach, Organizer: John Harlim USA Farazmand Pennsylvania State University, USA Massachusetts Institute of Technology, USA 8:30-8:55 Fisher-Kpp Invasion Fronts 8:30-8:55 Data-Driven Modeling and on Homogeneous Trees and Random Organizer: Themistoklis Sapsis the Mori-Zwanzig Formalism Networks Massachusetts Institute of Technology, USA Fei Lu, Lawrence Berkeley National Matt Holzer, George Mason University, Laboratory, USA; Kevin K. Lin, University 8:30-8:55 Trajectory Stratification for USA; Aaron Hoffman, Franklin W. Olin of Arizona, USA; Alexandre Chorin, Rare Event Simulation College of Engineering, USA University of California, Berkeley, USA Jonathan Weare, University of Chicago, USA 9:00-9:25 Contagion Shocks in a 9:00-9:25 Dimension Reduction for 9:00-9:25 Identification and Protection Model of Panicking Crowds Systems with Slow Relaxation Against Critical Contingencies in Martin Short, Georgia Institute of Shankar C. Venkataramani, University of Power Systems Technology, USA Arizona, USA; Raman Venkataramani, Konstantin Turitsyn, Massachusetts Institute Seagate Technology International, USA; 9:30-9:55 On the Evolution of of Technology, USA Juan M. Restrepo, Oregon State University, Cancerous Cells 9:30-9:55 Optimal Experimental USA Konstantina Trivisa, University of Design for Extreme Event Statistics in Maryland, USA 9:30-9:55 Data-Driven Nonlinear Dynamical Systems Parameterization of the Generalized 10:00-10:25 Travelling Wave Solutions Mustafa Mohamad and Themistoklis Sapsis, Langevin Dynamics for Bio-Molecules for a Model of Tumour Invasion Massachusetts Institute of Technology, Xiantao Li, Pennsylvania State University, Peter van Heijster, Queensland University USA USA of Technology, Australia; Lotte Sewalt, 10:00-10:25 Predicting Extreme Events Leiden University, Netherlands; 10:00-10:25 Renormalization and for Passive Scalar Turbulence in Stability of Coarse-Grained Models Kristen Harley, Queensland University Two-Layer Baroclinic Flows through Panos Stinis, Pacific Northwest National of Technology, Australia; Sanjeeva Reduced-Order Stochastic Models Balasuriya, University of Adelaide, Laboratory, USA Di Qi and A Majda, New York University, Australia USA 76 SIAM Conference on Applications of Dynamical Systems

Wednesday, May 24 8:30-8:55 Tipping Point Analysis Wednesday, May 24 of Dynamical Systems, with MS112 Applications in Geophysics and MS113 Environmental Sciences Advances in Stochastic Valerie N. Livina, National Physical Model Reduction and Dynamics and Applications Laboratory, United Kingdom Nonlinear Vibrations in - Part I of II 9:00-9:25 Stochastic Dynamics of Engineering Applications Near-Surface Winds over Land 8:30 AM-10:30 AM 8:30 AM-10:30 AM Adam Monahan, University of Victoria, Room:Primrose A Canada Room:Primrose B For Part 2 see MS125 9:30-9:55 Metastable Phenomena This minisymposium surveys recent Dynamical systems in biosciences in a Dynamical System with a advances in model reduction, model and geosciences are often under the Discontinuous Vector Field: Case of identification and model analysis for influences of stochastic fluctuations. Amazonian Vegetation Model nonlinear mechanical systems. These Examples from modeling gene Larissa I. Serdukova, Huazhong University advances firm up the intuitive notion of regulation as well as from the of Science & Technology, China model reduction into an exact reduction cryosphere physics have shown that 10:00-10:25 Unstable Behavior in process for high-dimensional, non- various processes or mechanisms Capitalistic Economic Systems autonomous mechanical problems. The are inherently driven by stochastic Jim Brannan, Clemson University, USA surveyed approaches include geometric events. For better understanding of singular perturbation theory; nonstandard these randomly influenced systems the invariant manifold results on spectral quantitative biology and climatology submanifolds; data-driven model reduction have been guided by new modeling- to invariant sets; explicit and rigorous based stochastic dynamical systems model-reduction to low-dimensional (SDS). The stochastic fluctuations have manifolds in infinite-dimensional been considered under assumptions mechanical systems; and stochastic of Gaussian (Brownian) and non- analysis of random perturbations to Gaussian (Levy) distributions. Given periodically forced nonlinear oscillator a SDS, stochastic stability, mechanism systems. The talks will cover a broad of transition to equilibrium, non- family of applications, ranging from equilibrium structures such as meta- theoretical models to experimental data. stable states are perhaps the most Organizer: Robert Szalai important features to understand University of Bristol, United Kingdom since its play an important role in the structural evolution of the biological 8:30-8:55 Nonlinear Model and geological systems. To quantify Identification and Spectral Submanifolds for Multi-Degree-of- dynamical behavior of SDS are often Freedom Mechanical Vibrations considered deterministic quantities Robert Szalai, University of Bristol, United such as moments for solution paths, Kingdom probability density functions, mean exit time, escape probability and random 9:00-9:25 Exact Model Reduction by a Slow-Fast Decomposition of Multi- invariant manifolds. These techniques Degree-of-Freedom Vibrations are being used in analyzing biophysical George Haller and Sten Ponsioen, ETH and geophysical mechanisms. This Zürich, Switzerland minisymposium brings together researchers with diverse but related 9:30-9:55 Model Reduction to Spectral Submanifolds for Forced Beams: An background suitable to study stochastic Infinite-Dimensional Analysis dynamics. It is an effort to give the Florian Kogelbauer, ETH Zürich, Switzerland scientific community a flavor of the most important stochastic approaches relevant 10:00-10:25 Random Perturbations to systems in biology and meteorology. of Periodically Driven Nonlinear Oscillators: Homogenization and Large Organizer: Yayun Zheng Deviations Huazhong University of Science & Navaratnam Sri Namachchivaya, University Technology, China of Illinois at Urbana-Champaign, USA; Nishanth Lingala, UIUC, USA; Ilya Pavlyukevich, Friedrich Schiller Universität continued in next column Jena, Germany SIAM Conference on Applications of Dynamical Systems 77

Wednesday, May 24 Wednesday, May 24 8:30-8:55 Emerging Disease Dynamics in a Model Coupling Within and MS114 MS115 Between-Host Systems Zhilan Feng, Purdue University, USA Nonlocal Behavior in Multiscale Modeling of 9:00-9:25 Examining Signatures of Biological Applications Infectious Disease Dynamics: Within-Host Malaria Heterogeneity at 8:30 AM-10:30 AM State-of-art and Challenges an Epidemiological Level Lauren Childs, Virginia Polytechnic Institute Room:Maybird 8:30 AM-10:30 AM and State University, USA; Olivia Prosper, This minisymposium will focus on Room:Magpie B University of Kentucky, USA examples of biological and chemical Successful transmission of infectious 9:30-9:55 Rhinovirus: From systems which are driven by nonlocal diseases involves completion of life-cycle Biochemistry and Immunology to interactions. These include neural field steps at multiple scales of biological Families and Communities models, biological aggregation models, organization, i.e. the intracellular scale, Fred Adler, University of Utah, USA and an example from an amphiphilic the in-host scale, and the population, or 10:00-10:25 The Role of Multi-Scale morphology model that accepts a epidemic, scale. At each of these scales, Selection in the Emergence of Drug nonlocal system. By considering the pathogens undergo rapid population and Resistance challenges and techniques used to evolutionary changes. It has been well Troy Day and Johanna Hansen, Queen’s analyze the resulting integro-differential established that mathematical models University, Canada equations, the aim is to provide a forum can effectively describe and predict for cross-fertilization of ideas between epidemic outcomes; they are extensively the different fields. employed in disease outbreak analysis Organizer: Paul Carter and evaluation of epidemic control measures. Models are also used to Brown University, USA investigate disease dynamics in a host, Organizer: Gabriela Jaramillo and with the increasing availability of University of Arizona, USA sequencing, transcriptomic and proteomic 8:30-8:55 Traveling Waves and data, more insights on dynamics in-host Breathers in An Excitatory-Inhibitory and at the intracellular levels are being Neural Field gained via modeling than ever before. Stefanos Folias, University of Alaska, However, in order to leverage knowledge Anchorage, USA gained at these lower levels to understand 9:00-9:25 Biological Aggregation and make precise predictions about Driven by Social and Environmental the impacts of a genetic mutation, Factors: A Nonlocal Model and for example, on the dynamics at the Its Degenerate Cahn-Hilliard population level, models that attempt to Approximation connect the dynamics between scales Andrew J. Bernoff, Harvey Mudd College, are badly needed. This connection USA; Chad M. Topaz, Macalester College, poses serious theoretical challenge to USA current modeling methodologies, and 9:30-9:55 Patterns and Waves in new mathematical frameworks/methods a Spatially-Extended Neural Field are needed to address this challenge. Model With this minisymposium, we invite Jeremy D. Harris, University of Pittsburgh, mathematicians and theoretical biologists USA to discuss their state-of-art work on this 10:00-10:25 Compositional Evolution area. of Quasi-bilayers in the Symmetric Two-component Functionalized Organizer: Jessica M. Conway Cahn-Hilliard Equation Pennsylvania State University, USA Qiliang Wu and Keith Promislow, Michigan State University, USA Organizer: Ruian Ke North Carolina State University, USA

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Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS116 MS117 MS118 Recent Results on Traveling Atmospheric Dynamics: Dynamics and Complexity Waves in Systems of PDEs - Clouds, Convection, and in the Auditory Sensing Part II of II Circulation System - Part II of II 8:30 AM-10:30 AM 8:30 AM-10:30 AM 8:30 AM-10:30 AM Room:Wasatch B Room:Superior B Room:Superior A For Part 1 see MS103 The dynamics in the Earth’s atmosphere, For Part 1 see MS105 This minisymposium will focus on and especially in clouds and the boundary The auditory system displays remarkable recent results in the area of of traveling layer, affect weather models and climate mechanical sensitivity and frequency waves and related structures, obtained by models. These models give predictions discrimination. These attributes have either numerical or analytic techniques. that are useful to our lives, individually been shown to rely on an amplification Existence, stability, dynamic properties, and collectively, as well as on the short process, which requires both biochemical and bifurcations of these special term and on the long term. The accuracy and mechanical feedback loops, and solutions will be addressed. of these models can be improved with leads to spatially localized oscillations a better understanding of the dynamics inside the cochlea. In general, the origin Organizer: Anna Ghazaryan involved. Moisture and heating are two of oscillatory localization can range Miami University, USA areas of difficulty when modelling the from passive to dissipative mechanisms; Organizer: Stephane Lafortune atmosphere. In the context of convection however, specific mechanisms of College of Charleston, USA and circulation, we’ll examine these cochlear amplification remain a puzzle. dynamics in the atmosphere and how they The goal of this minisymposium is to Organizer: Vahagn Manukian affect the models we use. survey the development of theory of Miami University Hamilton, USA hearing and to scrutinize the connections 8:30-8:55 Recent Advances in Organizer: David Collins between these models and experiments, Rigorous Computation of the Evans Vancouver Island University, Canada at scales ranging from individual hair Function 8:30-8:55 Overview of the Boundary cells to the spatially extended cochlea. Blake Barker, Brigham Young University, Layer, Cyclones, and the Dynamics USA; Kevin Zumbrun, Indiana University, Involved Organizer: Arik Yochelis USA David Collins, Vancouver Island University, Ben Gurion University, Israel Canada 9:00-9:25 Complex Bifurcations in Organizer: Dolores Bozovic Benard-Marangoni Convection 9:00-9:25 A First Step Toward University of California, Los Angeles, USA Ivan Sudakov, University of Dayton, USA; Quantifying the Climate’s Information Sergey Vakulenko, Russian Academy of Production Over the Last 68,000 Years 8:30-8:55 Local and Spatially Sciences, Russia Joshua Garland, Santa Fe Institute, USA; Extended Frequency Locking: Tyler Jones and Elizabeth Bradley, Distinguishing Between Additive and 9:30-9:55 Center Manifolds for a Class Parametric Forcing of Degenerate Evolution Equations University of Colorado Boulder, USA; Ryan G. James, University of California, Davis, Arik Yochelis, Ben Gurion University, Israel; and Existence of Small-Amplitude Yuval Edri, Ben-Gurion University of the Kinetic Shocks USA; James White, University of Colorado Boulder, USA Negev, Israel; Dolores Bozovic, University Alin Pogan, Miami University, USA of California, Los Angeles, USA 10:00-10:25 The Gray-Scott Model: 9:30-9:55 The Dissipation Structure of Extratropical Cyclones 9:00-9:25 From Passive to Active Bistable Regime Mechanics in the Cochlea Jiangnan Li, Environment Canada, Canada Vahagn Manukian, Miami University Elizabeth S. Olson, Columbia University, Hamilton, USA 10:00-10:25 Dynamics of the Stably USA Stratified Atmospheric Boundary Layer Amber Holdstworth and Adam Monahan, 9:30-9:55 Effect of Electro-Mechanical Coupling on Stochastic Oscillations in University of Victoria, Canada a Model of Hair Cells Alexander Neiman, University of Missouri, St. Louis, USA; Rami Amro, University of California, Los Angeles, USA 10:00-10:25 The Signal and the Noise: Microfluidics and Sensing in the Cochlea Karl Grosh and Aritra Sasmal, University of Michigan, USA SIAM Conference on Applications of Dynamical Systems 79

Wednesday, May 24 Wednesday, May 24 Organizer: Yoshihiko Susuki Osaka Prefecture University, Japan MS119 MS120 Organizer: Alexandre Mauroy Nonlinear Dynamics in Advanced Data-driven University of Liege, Belgium Optics - Part II of II Techniques and Numerical 8:30-8:55 Extended Dynamic Mode 8:30 AM-10:30 AM Methods in Koopman Decomposition for Systems with Operator Theory - Complex Dynamics Room:Wasatch A Clarence Rowley and Vivian Steyert, Part II of II For Part 1 see MS106 Princeton University, USA Nonlinear dynamical systems find their 8:30 AM-10:30 AM 9:00-9:25 Optimal Parameter Selection applications in many areas of optics. Room:Magpie A for Extended Dynamic Mode This minisymposium is devoted to the Decomposition For Part 1 see MS107 recent progress that has been made in the Wataru Kurebayashi, Aomori University, The Koopman operator governs the modeling of optical phenomena including Japan; Sho Shirasaka and Hiroya Nakao, evolution of “observable-functions” topics such as Maxwell-Bloch Equations, Tokyo Institute of Technology, Japan of the state space, thereby offering Nonlinear modal interactions in micro- 9:30-9:55 Comparison of Dynamic an alternative framework to describe ring cavities, PT-symmetric lasers, Mode Decomposition, Koopman complex, nonlinear dynamical Light-matter interaction dynamics, Wave Mode Decomposition, and Vector systems. It turns a nonlinear system instability and more. Prony Analysis into a linear (but infinite-dimensional) Fredrik Raak, Kyoto University, Japan; Organizer: Alexey Sukhinin system that can be studied through Yoshihiko Susuki, Osaka Prefecture University of Vermont, USA spectral properties (e.g. eigenvalues, University, Japan; Igor Mezic, University eigenfunctions, and so-called of California, Santa Barbara, USA; Takashi Organizer: Dmitry Rachinskiy Koopman modes). Moreover, this Hikihara, Kyoto University, Japan University of Texas at Dallas, USA framework has a direct connection to 10:00-10:25 An Equal Space, An Equal 8:30-8:55 Estimation of Timing Jitter data-driven requirements for analysis Time: Data-Driven Embeddings of in a Delayed Differential Model of and design of complex dynamics Complex Dynamics Semiconductor Laser emerging in real-world applications. Ioannis Kevrekidis, Princeton University, Dmitry Rachinskiy, University of Texas at Thus, Koopman operator theory yields USA; Felix Kemeth, Technische Universität Dallas, USA efficient data-driven techniques and München, Germany 9:00-9:25 Time-delay Models of Multi- numerical methods such as dynamic mode Laser Dynamics mode decomposition. These have a Alexander Pimenov and Andrei G. Vladimirov, broad spectrum of applications, as Weierstrass Institute, Germany diverse as fluid mechanics, power 9:30-9:55 Instability of Steep Ocean systems engineering, network Waves and Whitecapping inference, and control engineering. Sergey Dyachenko, Brown University, USA; This minisymposium aims to report on Alan Newell, University of Arizona, USA new developments of this frontier field 10:00-10:25 Generation of Broadband in dynamical systems and to discuss Chaotic Light and Its Applications in them with the audience of SIAM Detection and Communication Conference on Dynamical Systems Longsheng Wang, Anbang Wang, Tong Zhao, (DS). The topics developed in the Yuanyuan Guo, Daming Wang, and Yuncai session are data-driven techniques for Wang, Taiyuan University of Technology, system identification and time-series China analysis (1,2), analysis of chaotic systems (3), numerical approximation of spectral densities (4), reduced- order modeling (5), nonlinear modal decompositions (6,7), and data-driven embeddings (8). The set of the topics is illustrated by the diversity of the eight speakers, which are invited from multiple parts of the world. This diversity is suitable for a highly international conference like DS.

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Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS121 Coffee Break MS122 Nonlinear Mechanics and 10:30 AM-11:00 AM Patterns of Dynamics in Locomotion Room:Golden Cliff Complex Networks 8:30 AM-10:30 AM 1:15 PM-3:15 PM Room:White Pine Room:Ballroom 1 Locomotion through cyclic body IP5 Patterns of dynamics of coupled deformation is a ubiquitous paradigm in Dynamics, Mixing, and oscillators in a complex network are nature, and designs inspired by nature Coherence often affected by the structure of the are becoming increasingly popular in network itself. Understanding the robotics as the advantages they promise 11:00 AM-11:45 AM relationship between a network and the in agility, adaptability, and efficiency Room:Ballroom collective dynamics of its oscillators are recognized. The performance of Chair: Martin Wechselberger, University of remains incomplete despite the ubiquity natural locomotion systems often hinges, Sydney, Australia of natural and man-made networks with however, on subtle nonlinear phenomena dynamical nodes. Experimental work that must be understood to be exploited Coherent regions in geophysical flows involving opto-electronic and mechanical by engineered systems. Thorough play fundamental roles by organising oscillators as well as computational illumination of such phenomena requires fluid flow and obstructing transport. studies using symmetries and group both analytical and computational For example, in the ocean, coherence theory along with linear programming are modeling as well as complementary impacts dynamics from global scales shown to be effective in exposing the role experimental work. This minisymposium down to scales of at least tens of of network structure in determining the convenes researchers engaged in kilometres, and strongly influences the dynamical patterns observed. this area with a practical focus on transportation of heat, salt, nutrients, Organizer: Francesco locomotion in fluids and a mathematical phytoplankton, pollution, and garbage. I focus on tools from differential will describe some recent mathematical Sorrentino geometry, dynamical systems theory, and constructions, ranging across dynamical University of New Mexico, USA nonlinear control. systems, probability, and geometry, which enable the accurate identification Organizer: Louis M. Pecora Organizer: Scott D. Kelly and tracking of such structures, and the Naval Research Laboratory, USA University of North Carolina, Charlotte, USA quantification of associated mixing and 1:15-1:40 Chimeras, Cluster States, transport properties. I will present case and Symmetries: Experiments on the Organizer: Michael J. Fairchild studies from a variety of geophysical Smallest Chimera Princeton University, USA settings. Joseph Hart, University of Maryland, USA 8:30-8:55 3D Locomotion and 1:45-2:10 Synchronization in Efficiency of a Yaw-Pitch Three-Link Gary Froyland Experiments with Coupled Mechanical Robot in a Low Reynolds-Number University of New South Wales, Australia Oscillators Fluid Karen Blaha, University of New Mexico, Jaskaran S. Grover, Tony Dear, Matthew USA Travers, and Howie Choset, Carnegie Mellon University, USA; Scott D. Kelly, Lunch Break 2:15-2:40 Algorithms and Experiments University of North Carolina, Charlotte, 11:45 AM-1:15 PM for the Approximate Balanced USA Coloring Problem Attendees on their own David Philips, US Naval Academy, USA 9:00-9:25 Efficient Locomotive Gaits for Swimming in Perfect Fluids 2:45-3:10 Approximate Cluster Michael J. Fairchild and Clarence Rowley, Synchronization in Networks with Princeton University, USA Symmetries Francesco Sorrentino, University of New 9:30-9:55 Entrainment and Mexico, USA Cooperative Locomotion in Nonholonomic Systems and Swimming Systems Scott D. Kelly, University of North Carolina, Charlotte, USA 10:00-10:25 The Geometry of Self- Propulsion in (and on) Frictional Fluids Daniel Goldman, Georgia Institute of Technology, USA SIAM Conference on Applications of Dynamical Systems 81

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS123 MS124 MS125 Conceptual Climate Models: Data-driven Modeling and Advances in Stochastic Approaches and Techniques - Prediction of Dynamical Dynamics and Applications - Part I of II Systems - Part II of II Part II of II 1:15 PM-2:45 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Ballroom 2 Room:Ballroom 3 Room:Primrose A For Part 2 see MS129 For Part 1 see MS111 For Part 1 see MS112 Conceptual models have proven very An emerging problem in computational Dynamical systems in biosciences useful for investigating fundamental science is to build effective models and geosciences are often under the properties of a climate system because of dynamical processes using various influences of stochastic fluctuations. they are simple enough to allow for types of data, and to use such models Examples from modeling gene regulation rigorous mathematical analysis. When to make statistical predictions of as well as from the cryosphere physics deciding how to describe a given climate complex dynamics. This is especially have shown that various processes system, there are several approaches useful when a first-principles model is or mechanisms are inherently driven available. This minisymposium will either unavailable or too complex to be by stochastic events. For better provide a forum to highlight and discuss practical. Recent progress in this area understanding of these randomly the use of fast-slow, partial differential has made use of diverse ideas from influenced systems the quantitative equation, delay differential equation and dynamical systems, nonequilibrium biology and climatology have been non-smooth climate models, each with statistical mechanics, and stochastic guided by new modeling-based stochastic their own methodological advantages and processes. The purpose of this dynamical systems (SDS). The stochastic challenges. minisymposium is to bring together fluctuations have been considered under researchers developing different data- assumptions of Gaussian (Brownian) and Organizer: Andrew Keane driven modeling approaches, as well non-Gaussian (Levy) distributions. Given University of Auckland, New Zealand as those working on applications to a SDS, stochastic stability, mechanism of 1:15-1:40 Conceptual Climate Models computational science, data assimilation, transition to equilibrium, non-equilibrium with Global Feedback Mechanisms and uncertainty quantification. structures such as meta-stable states are Bernd Krauskopf, University of Auckland, perhaps the most important features to New Zealand Organizer: Kevin K. Lin understand since its play an important University of Arizona, USA 1:45-2:10 Interpreting Huybers’ Glacial role in the structural evolution of the Cycles Model As a Nonsmooth Organizer: John Harlim biological and geological systems. To Dynamical System Pennsylvania State University, USA quantify dynamical behavior of SDS are Somyi Baek, University of Minnesota, USA 1:15-1:40 Data-Driven Correction of often considered deterministic quantities 2:15-2:40 Understanding the Variability Model Error for Forecasting such as moments for solution paths, of the Indian Monsoons - Combining Tyrus Berry, George Mason University, USA; probability density functions, mean exit Data with Model John Harlim, Pennsylvania State University, time, escape probability and random Raj Saha, University of North Carolina, USA USA invariant manifolds. These techniques 1:45-2:10 Accounting for Model Errors are being used in analyzing biophysical from Unresolved Scales by Stochastic and geophysical mechanisms. This Parametrization in Ensemble Kalman minisymposium brings together Filters researchers with diverse but related Fei Lu, Lawrence Berkeley National background suitable to study stochastic Laboratory, USA; Alexandre Chorin, dynamics. It is an effort to give the University of California, Berkeley, USA; scientific community a flavor of the most Xuemin Tu, University of Kansas, USA important stochastic approaches relevant 2:15-2:40 Uncertainty Quantification to systems in biology and meteorology. for Generalized Langevin Dynamics Eric J. Hall, University of Massachusetts, Organizer: Yayun Zheng USA; Markos A. Katsoulakis, University of Huazhong University of Science & Massachusetts, Amherst, USA; Luc Rey- Technology, China Bellet, University of Massachusetts, USA 2:45-3:10 Estimating Parameters with Linear Response Statistics continued on next page John Harlim, Xiantao Li, and He Zhang, Pennsylvania State University, USA 82 SIAM Conference on Applications of Dynamical Systems

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS125 MS126 MS127 Advances in Stochastic Emergence and Interactions Control of Dynamics in Brain Dynamics and Applications - of Spatially Localized Networks Part II of II Patterns - Part I of II 1:15 PM-3:15 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Maybird continued Room:Primrose B The control of brain dynamics provides For Part 2 see MS132 great promise for the enhancement of Spatially localized structures are cognitive function in humans, and by common in a variety of pattern extension betterment in their quality of life. 1:15-1:40 Stochastic Dynamics that Yet, successfully controlling dynamics in are Central to Biological Mechanisms: forming systems,appearing in chemical Sleep-wake Transitions reactions, fluid mechanics, nonlinear neural systems is particularly challenging, Janet Best, The Ohio State University, USA optics, gas discharge, and plant not least due to the immense complexity of ecology. Despite the diversity, there the brain and the large set of interactions 1:45-2:10 Yeast Cultures Have are common mathematical structures that can affect any single change. While Large Coupling Strengths: Random we have gained some understanding of Perturbations on Cell-cell Coupling and driving mechanisms leading to rich Dynamics dynamics,such as snaking bifurcation, the control of single neurons, the control Xue Gong, Augustana College, USA; Gregory self-replication, self-excitation, of large-scale neural systems – networks Moses, Ohio University, USA; Alexander and collision dynamics. In this of interacting components or so-called Neiman, University of Missouri, St. Louis, minisymposium we collect researchers connectomes – remains poorly understood. USA; Todd Young, Ohio University, USA working on various types of model This lack has prompted the recent 2:15-2:40 Hope Bifurcation in Random equations for the above phenomena and development of new control tools for brain Dynamical Systems try to extract key features of emergent networks, mostly adapted from control Jeroen Lamb, Imperial College London, dynamics common to those model and systems theory. These contributions United Kingdom equations from a dynamical system provide new models that draw from a wide array of approaches, from applied 2:45-3:10 Transitions in a Genetic viewpoint. In particilar we focus on Transcriptional Regulatory System the dynamics of localized patterns mathematics to opportunities for practical Under Lévy Motion in heterogeneous media and strong intervention. This minisymposium Yayun Zheng, Huazhong University of Science interactions like collisions. highlights emerging strategies of control in & Technology, China brain networks, while suggesting potential Organizer: Lendert Lendert mechanisms that underlie such processes. Gelens These include control of more general Katholieke University Leuven, Netherlands cognitive processes with implications for brain development and decision-making, as Organizer: Yasumasa Nishiura well as within disparate fields of medical Tohoku University, Japan treatment such as anesthesia administration 1:15-1:40 Dynamics of Localized and seizure suppression. By presenting a Structures in Dissipative Systems variety of theoretical, computational, and Yasumasa Nishiura, Tohoku University, experimental efforts, we hope to facilitate Japan dialogue between mathematicians and 1:45-2:10 The Dynamics of Interacting practitioners in this exciting and rapidly Pulses in an Extended Klausmeier developing field. Model Arjen Doelman and Robbin Bastiaansen, Organizer: Evelyn Tang Leiden University, Netherlands University of Pennsylvania, USA 2:15-2:40 Dynamics of Traveling Spots Organizer: Danielle S. Bassett with Oscillatory Tails in Heterogeneous University of Pennsylvania, USA Media Takeshi Watanabe, University of Tokyo, Japan; Yasumasa Nishiura, Tohoku University, Japan 2:45-3:10 Interactions of Spatially Localized Structures in Bioconvection of Photosensitive Microorganism Makoto Iima and Takayuki Yamaguchi, continued on next page Hiroshima University, Japan SIAM Conference on Applications of Dynamical Systems 83

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS127 CP8 CP9 Control of Dynamics in Brain Networks 1:15 PM-3:15 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Magpie B Room:Wasatch B continued Chair: Poul G. Hjorth, Technical University Chair: Kourosh Tavakoli, Oklahoma City of Denmark, Denmark University, USA 1:15-1:40 Moving to the Network Level in Brain Activity Control: 1:15-1:30 Dynamics of Arrays of 1:15-1:30 Unstable Manifolds of Implications for Cognition and Coupled Cilia and Flagella-like Relative Equilibria and Relative Development Structures Driven by Axonemal Periodic Orbits Evelyn Tang, University of Pennsylvania, Beating Nazmi Burak Budanur, Georgia Institute of USA Davide Spinello, University of Ottawa, Technology, USA Canada 1:45-2:10 Control, Optimization 1:35-1:50 Exploring Relations Between and the Dynamics of Function in 1:35-1:50 Mapping of Large-Scale Smooth and Piecewise Smooth Neuronal Networks Biological Dynamical Networks Models ShiNung Ching, Washington University in Lin Wan, Chinese Academy of Sciences, Alessandro Colombo, Politecnico di Milano, St. Louis, USA China Italy 2:15-2:40 Fragility in the Human 1:55-2:10 Fish Schooling 1:55-2:10 Dynamics of Some Decision Making System: When Ton V. Ta and Linh Nguyen, Kyushu Nonanalytic Singular Perturbations of 2 Irrationality Hijacks Logic University, Japan; Atsushi Yagi, Osaka z +c Sridevi V. Sarma and Pierre Sacre, Johns University, Japan Bruce B. Peckham, University of Minnesota, Duluth, USA Hopkins University, USA; John Gale, 2:15-2:30 How NF-ΚB Oscillations Emory University, USA; Jorge Martinez- Drive Stochastic Gene Expression 2:15-2:30 Dynamics of Iterated Gonzalez, Cleveland Clinic, USA Samuel Zambrano, San Raffaele University, Holomorphic Function Systems 2:45-3:10 Coupling Single Neuronal Italy; Nacho Molina, Institut de Génétique Kourosh Tavakoli, Oklahoma City University, Activity to Complex Brain Functions: et Biologie Moléculaire Cellulaire, France; USA Large-Scale, High-Resolution Davide Mazza and Alessia Loffreda, 2:35-2:50 Generalizations of Conley Approaches to Dissect and to Modify Experimental Imaging Center Ospedale Index and Relevant Applications Neuronal Network Activities San Raffaele, Italy; Marco Bianchi Jintao Wang, Huazhong University of Antal Berenyi, University of Szeged, and Alessandra Agresti, San Raffaele Science & Technology, China Hungary University, Italy 2:55-3:10 Internally Delayed Oscillator 2:35-2:50 Stabilized Coexistence in Coupling Among Mutual Cheaters in Cyclic Lauren Lazarus, Harvey Mudd College, USA Public Goods Games with Optimized Taxation Christopher H. Griffin and Andrew Belmonte, Pennsylvania State University, USA 2:55-3:10 Pedestrian Dynamics from Social Force Models Poul G. Hjorth, Technical University of Denmark, Denmark 84 SIAM Conference on Applications of Dynamical Systems

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 CP10 CP11 CP12

1:15 PM-2:55 PM 1:15 PM-3:15 PM 1:15 PM-3:15 PM Room:Superior B Room:Superior A Room:Wasatch A Chair: Paul Carter, Brown University, USA Chair: James D. Meiss, University of Chair: Christoffer R. Heckman, University of 1:15-1:30 Solution Surfaces of PDE’s As Colorado Boulder, USA Colorado Boulder, USA Families of Orbit Segments 1:15-1:30 Bifurcations of Invariant Tori 1:15-1:30 A Model of Intergenerational Pablo Aguirre, Universidad Técnica Federico in 3-Dimensional Piecewise Smooth Wealth Dynamics and Santa María, Chile Maps Intergenerational Wealth Traps Soumitro Banerjee and Mahashweta Patra, Joel D. Nishimura, Arizona State University, 1:35-1:50 Snaking and Localized Indian Institute of Science Education and Patterns with Twisted Invariant USA Research, India Manifolds 1:35-1:50 Users Dynamics on Internet Paul Carter and Tarik Aougab, Brown 1:35-1:50 Multiple Winner-Take-All Platforms University, USA; Margaret Beck, Solutions in the Star-Like System of Victoria Rayskin, Tufts University, USA Boston University, USA; Surabhi Desai, Phase Oscillators with Parameter 1:55-2:10 The Emergence of Power- University of St. Andrews, United Adaptation Law Scalings in Large-Scale Systems Roman M. Borisyuk, Plymouth University, Kingdom; Bjorn Sandstede, Brown of Weakly Correlated Units University, USA; Melissa Stadt, University United Kingdom; Yakov Kazanovich, Jonathan D. Touboul, Collège de France, of Washington, USA; Aric Wheeler, Russian Academy of Sciences, Russia; France; Alain Destexhe, CNRS, France University of North Carolina, Chapel Hill, Oleksandr Burylko, Ukranian Academy of USA Science, Kiev, Ukraine 2:15-2:30 Using Modeled Dynamics for the Control of Autonomous Vehicles 1:55-2:10 Fractional Integrated Semi 1:55-2:10 Explicit Symmetry Breaking Christoffer R. Heckman, University of Groups and Non Local Cauchy and Hopf Bifurcations Colorado Boulder, USA Problem for Abstract Nonlinear Timothy K. Callahan, Embry-Riddle Fractional Differential Equations Aeronautical University, USA 2:35-2:50 Analysis of Entropy Generation Due to Time Periodic Mahmoud M. El-Borai, Alexandria 2:15-2:30 Detecting Phase Transitions Heating in a MHD Porous Enclosure University, Egypt in Collective Behavior Using Sumit Malik and Ameeya Nayak, Indian 2:15-2:30 Mild Solutions for Multi-Term Manifold’s Curvature Institute of Technology Roorkee, India Time-Fractional Impulsive Differential Kelum D. Gajamannage and Erik Bollt, Equations with Non Local Initial Clarkson University, USA 2:55-3:10 Life-Detection and Through- Conditions Wall Imaging Using Ultra-Wideband 2:35-2:50 Elliptic Bubbles in Moser’s Chaos Radar Vikram Singh and Dwijendra N Pandey, Quadratic Maps Indian Institute of Technology Roorkee, Hang Xu, Li Liu, Jianguo Zhang, Jingxia Li, James D. Meiss, University of Colorado India Bingjie Wang, Anbang Wang, and Yuncai Boulder, USA; Arnd Baecker, Institut für Wang, Taiyuan University of Technology, 2:35-2:50 Revisiting Delay-Embedding Theoretische Physik, Germany China by Using Hilbert-Schmidt Integral 2:55-3:10 On Stability of Coupled Operator Theory for Dynamical Systems with Delay and Hysteresis Reconstruction Prasad G. Chhapkhane, Devchand College, Naoto Nakano, Hokkaido University, Japan India SIAM Conference on Applications of Dynamical Systems 85

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 CP13 CP14 MS128 Recent Developments in 1:15 PM-2:55 PM 1:15 PM-2:55 PM Objective Coherent Structure Room:Magpie A Room:White Pine Detection - Part I of II Chair: Abd Almomani, Clarkson University, Chair: David Swigon, University of 3:45 PM-5:45 PM USA Pittsburgh, USA Room:Ballroom 1 1:15-1:30 Deterministic Method to 1:15-1:30 Coupled System of Electrical For Part 2 see MS141 Identify Sparse Matrix of Parameters Oscillators and Their Solutions in Coherent structures play a significant Based on Information Theory Perspective of Fractional Derivatives role in the transport and mixing of Abd Alrahman R. Almomani, Clarkson Naseer Ahmad Asif and Muhammad Imran passive and active scalars in fluids. Such University, USA Jamil, University of Management and structures arise at spatial scales ranging Technology, Pakistan 1:35-1:50 Least Action Methods from the geophysical to the nanofluidic. and Noise Induced Transitions in 1:35-1:50 Understanding Mixing Their self-consistent detection requires Periodically-Forced Systems Processes by Transfer Operator objective mathematical approaches, i.e., John Gemmer, Wake Forest University, Yiwei Zhang, Huazhong University of Science independent of an assumed observer. USA; Yuxin Chen, Northwestern & Technology, China This two-part minisymposium brings University, USA; Alexandria Volkening, 1:55-2:10 Inverse Problem for together theoreticians, computational Brown University, USA; Mary Silber, Dynamical Systems with Uncertain University of Chicago, USA experts and experimentalists to survey Data the current state of the art and challenges 1:55-2:10 Perron-Frobenius Meet David Swigon, University of Pittsburgh, in objective coherent structure analysis Monge-Kantorovich: A Set-Oriented USA; Shelby Stanhope, Temple University, and its applications. Part I reviews recent Graph-Based Approach to Optimal USA; Jonathan E. Rubin, University of developments in coherent structure Transport Pittsburgh, USA Piyush Grover, Mitsubishi Electric Research theory and numerical detection methods, 2:15-2:30 Existence Results for Two- Laboratories, USA; Karthik Elamvazhuthi, while Part II focuses on applied and Term Time Fractional Differential Arizona State University, USA experimental aspects in real-world flow Equations with Nonlocal Conditions problems. 2:15-2:30 Forecasting Chaotic Renu Chaudhary and Dwijendra N Pandey, Business Cycles Perturbed by Noise Indian Institute of Technology Roorkee, Organizer: Daniel Karrasch James M. Haley, Point Park University, USA India Technische Universität München, Germany 2:35-2:50 Entropy of Recurrence Plot 2:35-2:50 Robust Regulation of Hepatic Organizer: George Haller Configurations Pericentral Amination by Glutamate ETH Zürich, Switzerland Thiago L. Prado, Universidade Federal Dehydrogenase Kinetics dos Vales do Jequitinhonha e Mucuri, Mubasher Rather, Soumen Bera, and Amit 3:45-4:10 Mathematical Relations Brazil; Gilberto Corso, Universidade Chakraborty, University of Rajasthan, Between Geometric and Probabilistic Federal do Rio Grande do Norte, Brazil; India; Claudia Acquisti, West Virginia Coherent Structure Detection Methods Gustavo Lima, Federal University of Rio University, USA; Bai-Lian Li, University Daniel Karrasch and Johannes Keller, Grande do Norte, Brazil; Sergio Lopes, of California, Riverside, USA Technische Universität München, Germany Universidade Federal do Parana, Brazil 4:15-4:40 Objective Eulerian Coherent Structures Coffee Break Mattia Serra and George Haller, ETH Zürich, Switzerland 3:15 PM-3:45 PM 4:45-5:10 A Comparison of Lagrangian Room:Golden Cliff Methods for Coherent Structure Detection Alireza Hadjighasem and Mohammad Farazmand, Massachusetts Institute of Technology, USA; Daniel Blazevski, Insight Data Science, USA; Gary Froyland, University of New South Wales, Australia; George Haller, ETH Zürich, Switzerland 5:15-5:40 The Motion of Objects Floating on the Ocean Surface Francisco J. Beron-Vera and M. Josefina Olascoaga, University of Miami, USA; Rick Lumpkin, National Oceanic and Atmospheric Administration - ESRL, USA 86 SIAM Conference on Applications of Dynamical Systems

Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS129 MS130 MS131 Conceptual Climate Models: Simple Systems with Recent Advances in Time- Approaches and Techniques Complex Dynamics - Part delayed Models of Gene - Part II of II I of II Regulatory Networks 3:45 PM-5:45 PM 3:45 PM-5:45 PM 3:45 PM-5:45 PM Room:Ballroom 2 Room:Ballroom 3 Room:Primrose A For Part 1 see MS123 For Part 2 see MS143 Many biological processes are known Conceptual models have proven very Lab experiments can often be very to be significantly affected by various useful for investigating fundamental costly as they may require expensive time delays, including transcription and properties of a climate system because equipment. However, research in translation delays during production they are simple enough to allow for dynamical systems can still be done of proteins from DNA, propagation rigorous mathematical analysis. When using simple table top experiments delays in neural networks, latency and deciding how to describe a given climate at low cost. Many of these systems immunity in infectious diseases etc. In system, there are several approaches may seem extremely simple and the context of gene regulatory networks, available. This minisymposium will mundane in set up, yet they can be recent technological advances have provide a forum to highlight and discuss very rich in their dynamics. In this provided substantial new understanding of the use of fast-slow, partial differential minisymposium, we present four table underlying biological processes, as well equation, delay differential equation and top experiments involving mechanical, as more precise measurements of various non-smooth climate models, each with chemical and electrical oscillators and important parameters. At the same time, their own methodological advantages and show how they can produce complex the development of mathematical models challenges. phenomena such as synchronization, that can effectively capture the complex period doubling bifurcation and Organizer: Andrew Keane dynamics often exhibited by such chaos. We also demonstrate how these University of Auckland, New Zealand systems remains a major challenge. Some systems can be studied mathematically specific modeling difficulties include 3:45-4:10 A Dynamical Systems and numerically. complicated interactions between noise Approach to the Pleistocene Climate - Part I of II Organizer: Andrea J. Welsh and time delays, the role of various delay Hans Engler, Georgetown University, Georgia Institute of Technology, USA distributions, as well as identifying most USA; Hans G. Kaper, Argonne National relevant parameters that control system Laboratory and Georgetown University, Organizer: Mary Elizabeth dynamics. This minisymposium will USA; Tasso J. Kaper and Theodore Vo, Lee showcase latest results on analysis and Boston University, USA Georgia Institute of Technology, USA simulations of various gene regulatory 4:15-4:40 A Dynamical Systems 3:45-4:10 Chaotic Ollations of Smple networks that are relevant for different Approach to the Pleistocene Climate - Mchanical Sstems application areas, ranging from biological Part II of II Lucas Illing, Reed College, USA clocks to flowering of plants. Hans Engler, Georgetown University, USA; Hans G. Kaper, Argonne National 4:15-4:40 Coins Falling in Water Organizer: Konstantin Blyuss Laboratory and Georgetown University, Lionel Vincent, University of Southern University of Sussex, United Kingdom California, USA; Try Lam, NASA Jet USA; Tasso J. Kaper and Theodore Vo, Organizer: Thomas W. Carr Boston University, USA Propulsion Laboratory and University of Southern California, USA; Eva Kanso, Southern Methodist University, USA 4:45-5:10 Interconnected Climate University of Southern California, USA 3:45-4:10 Delays and Nonlinearities in Variability in the Pacific and Indian Biological Clocks Oceans 4:45-5:10 Pattern Formation of Thomas W. Carr, Southern Methodist Malte Stuecker, University of Hawaii, Manoa, Swarms of Artemia Franciscana University, USA USA Andrea J. Welsh, Krishma Singal, and Flavio H. Fenton, Georgia Institute of 5:15-5:40 Palaeoclimate Dynamics Technology, USA Modelled with Delay Differential Equations 5:15-5:40 Self-Organizing Dynamics Courtney Quinn, University of Exeter, United in Active Elastic Systems Kingdom Cristian Huepe, CHuepe Labs Inc., USA; Ali Emre Turgut, Middle East Technical University, Turkey; Eliseo Ferrante, KU Leuven, Belgium continued on next page SIAM Conference on Applications of Dynamical Systems 87

Wednesday, May 24 Wednesday, May 24 4:45-5:10 Stabilization of Flat Localized Structures and their Interaction MS131 MS132 through Strong Nonlocal Coupling Cristian Fernandez-Oto, Simon Weisser, Recent Advances in Time- Emergence and and Mustapha Tlidi, Université Libre delayed Models of Gene Interactions of Spatially de Bruxelles, Belgium; Marcel Clerc, Regulatory Networks Localized Patterns - Part II Universidad de Chile, Chile; Daniel Escaff, Universidad de los Andes, Colombia of II 3:45 PM-5:45 PM 5:15-5:40 Spatially Localized Patterns 3:45 PM-5:45 PM in Networks of Spiking Neurons continued Room:Primrose B Helmut Schmidt, Centre de Recerca Matemàtica, Spain; Daniele Avitabile, 4:15-4:40 Characterization of For Part 1 see MS126 University of Nottingham, United Transcriptional Delays under Time- Spatially localized structures are Kingdom; Ernest Montbrio, Universitat Varying Temperatures common in a variety of pattern Pompeu Fabra, Spain; Alex Roxin, Centre Marcella M. Gomez, Rice University, USA; forming systems,appearing in chemical de Recerca Matemàtica, Spain Richard Murray, California Institute of reactions, fluid mechanics, nonlinear Technology, USA; Matthew Bennett, Rice optics, gas discharge, and plant University, USA ecology. Despite the diversity, there 4:45-5:10 Which Delays Matter in are common mathematical structures Gene Expression? and driving mechanisms leading to rich Marc R. Roussel, University of Lethbridge, dynamics,such as snaking bifurcation, Canada self-replication, self-excitation, 5:15-5:40 Deterministic and Stochastic and collision dynamics. In this Stability of Arabidopsis Flowering minisymposium we collect researchers Model working on various types of model Maia Angelova, Emrah Haspolat, and Benoit equations for the above phenomena and Huard, Northumbria University, United try to extract key features of emergent Kingdom dynamics common to those model equations from a dynamical system viewpoint. In particilar we focus on the dynamics of localized patterns in heterogeneous media and strong interactions like collisions. Organizer: Lendert Gelens KU Leuven, Belgium Organizer: Yasumasa Nishiura Tohoku University, Japan 3:45-4:10 Localized Structures in Nonlinear Optical Resonators Lendert Gelens, KU Leuven, Belgium; Pedro Parra-Rivas, Vrije Universiteit Brussel, Belgium; Damia Gomila, Instituto de Fisica Interdisciplinary Sistemas Complejos, Spain; François Leo, Université Libre de Bruxelles, Belgium; Stéphane Coen, University of Auckland, New Zealand; Edgar Knobloch, University of California, Berkeley, USA - Nonlinearity, Institute of Physics 4:15-4:40 Forced Snaking Benjamin C. Ponedel and Edgar Knobloch, University of California, Berkeley, USA

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Wednesday, May 24 Wednesday, May 24 Wednesday, May 24 MS133 MS134 MS135 Large Scale Dynamics Reductions of Coupled Causation Inference in Coupled Systems on Oscillator Networks: A New and Information Flow in Networks - Part I of II Tool for Neuroscience Dynamical Systems: Theory 3:45 PM-5:45 PM 3:45 PM-5:45 PM and Applications - Part I of II Room:Maybird Room:Magpie B 3:45 PM-5:45 PM For Part 2 see MS146 Transitions from high amplitude to Room:Wasatch B Many natural and man-made networks low amplitude signals, as observed in For Part 2 see MS148 in physical and life sciences feature electrophysiological brain recordings, A basic question in science is to infer extraordinary richness and complexity are thought to be caused by changes amongst causal interactions. In terms of interconnections. Understanding in the synchrony of the underlying of dynamical systems, one may ask collective dynamics of such networks neuronal population firing patterns. amongst coupled dynamic variables, poses new challenges for nonlinear There are now a plethora of models to which may influence each other, and science and calls for new approaches describe neural dynamics at a range of furthermore, directly so. Information incorporating combinatorial and different scales, yet very few which can theoretic descriptions of chaotic probabilistic methods into dynamical describe synchronisation phenomena dynamical systems have underpinnings analysis of complex systems. The talks in a parsimonious way scale. Recent in symbolic dynamics, whereas the of this minisymposium address large advances in the field of coupled oscillator Shannon information underpins general time behavior, pattern formation, and theory has allowed for the reduction concepts of entropy and data. Analogous bifurcations in coupled networks with of large networks of oscillators. With to Granger causality for linear systems, an emphasis on the link between the this new found analytical tractability transfer entropy has become a highly network structure and its dynamics. comes the ability to understand how popular way to consider questions of Organizer: Georgi S. synchrony can dynamically couple to pairwise information flow between network states. This minisymposium will nonlinear dynamical systems. In a basic Medvedev explore the reduction and analysis of sense the measurement describes how Drexel University, USA coupled oscillator models, in relation to observations of various factors of an Organizer: Hayato Chiba neuroscience. Particular emphasis will be underlying system effect predictability of Kyushu University, Japan placed on synchrony and the generation other factor. However, transfer entropy of brain rhythms. can not properly represent secondary 3:45-4:10 The Mean Field Limit of the Kuramoto Model on Convergent versus primary influences when used Organizer: Aine Byrne in large scaled coupled systems leading Graph Sequences University of Nottingham, United Kingdom Georgi S. Medvedev, Drexel University, USA to causation entropy as a specifically 3:45-4:10 Introduction, Exact Results conditioned transfer entropy. In this 4:15-4:40 A Bifurcation of the for Globally-Coupled Theta Neurons, session, applications of information flow Kuramoto Model on Networks and Extensions in social and also animal interaction Hayato Chiba, Kyushu University, Japan Ernest Barreto, George Mason University, systems will be discussed. However, there USA 4:45-5:10 Bifurcations Mediating are important limitations and caveats Appearance of Chimera States 4:15-4:40 Exact Low-Dimensional that must be understood so as to not over Oleh Omel’chenko, Weierstrass Institute for Mean-Field Dynamics of Neuronal interpret what can understood in using Applied Analysis and Stochastics, Germany Networks transfer entropy like quantities, such as 5:15-5:40 Bumps in Small-World Bastian Pietras, Vrije Universiteit resolution and Markov order and also Amsterdam, The Netherlands Networks questions of when pairwise interactions Carlo R. Laing, Massey University, New 4:45-5:10 Weakly Coupled Oscillators can completely capture all influences, Zealand in a Slowly Varying World versus inherently multi- element Youngmin Park and Bard Ermentrout, interactions. University of Pittsburgh, USA 5:15-5:40 Next Generation Neural Organizer: Erik Bollt Field Modelling Clarkson University, USA Aine Byrne, Stephen Coombes, and Daniele Organizer: Shawn D. Pethel Avitabile, University of Nottingham, US Army RDECOM, USA United Kingdom

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Wednesday, May 24 Wednesday, May 24 Organizer: Daniel Ward MS135 MS136 University of Bristol, United Kingdom Organizer: Martin Homer Causation Inference Multiscale Modelling in University of Bristol, United Kingdom and Information Flow in Health and Disease Organizer: Lucia Marucci Dynamical Systems: Theory 3:45 PM-5:45 PM Telethon Institute of Genetics and Medicine, and Applications - Room:Superior B Italy Part I of II The functioning of biological systems 3:45-4:10 The Dynamics of Colonic 3:45 PM-5:45 PM is controlled by regulations at multiple Crypt Dysplasia scales (including gene regulation, Daniel Ward, University of Bristol, United Kingdom; Lucia Marucci, Telethon Institute cell-cycle control, cell morphology) continued of Genetics and Medicine, Italy; Martin at single cell level, with emerging Homer, University of Bristol, United 3:45-4:10 Extracting Information Flow properties in populations of cells. Kingdom Between Animals in the Wild Mathematical models developed in Nicole Abaid and Subhradeep Roy, Virginia Systems Biology can either consider 4:15-4:40 Multiscale Agent-Based Tech, USA Models Predict Emergent Dynamics of such features independently, or Heterogeneous Tumor Growth 4:15-4:40 Information and Prediction incorporate them across several scales. Jessica Yu and Neda Bagheri, Northwestern Limits in Online Social Activity The benefits of multiscale models University, USA James Bagrow, University of Vermont, USA; in Systems Biology are broad, as Lewis Mitchell, University of Adelaide, they allow considering the interplay 4:45-5:10 Optimal Chemotherapy South Australia between different processes, while Scheduling Based on a Pair of Collaterally Sensitive Drugs 4:45-5:10 Inferring Influence and being modular, and predicting the Nara Yoon, Case Western Reserve University, Leadership in Mobile Animal Groups resulting cellular phenotype. The USA; Robert Vander Velde, University of Andrew Berdahl and Joshua Garland, Santa unifying idea of this minisymposium South Florida, USA; Andriy Marusyk, H. Fe Institute, USA; Jie Sun and Erik Bollt, is to get insights into applications Lee Moffitt Cancer Center & Research Clarkson University, USA of multiscale modelling for the Institute, USA; Jacob G. Scott, Cleveland 5:15-5:40 Network Flux based on formalisation of biological systems Clinic Lerner Research Institute, USA Directed Links in Spatially Embedded involved in health and disease, with a 5:15-5:40 Cell Based Modelling of Climate Networks focus on understanding the transition Tissue Size Control in the Drosophila Ugur Ozturk, Potsdam Institute for Climate from healthy to diseased states Embryonic Epidermis Impact Research and University of within the human body. Whether we Jochen Kursawe, University of Oxford, United Potsdam, Germany are looking at how a single mutant Kingdom epithelial cell in our intestines leads to an entire system of mutant crypts, or predicting heterogeneous tumour growth dynamics, multiscale tools are vital in understanding and proposing ways to improve our understanding and treatment of these diseased systems. To this end, this minisymposium will also provide links to experimental biology, describing how the inclusion of multiscale modelling can allow for informing back and forth between disciplines, improving both the models themselves as well as the experimental techniques.

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Wednesday, May 24 3:45-4:10 Oblique Stripes in a Wednesday, May 24 Triggered Swift-Hohenberg Equation MS137 Ryan Goh, Boston University, USA; Arnd MS138 Existence, Stability, and Scheel, University of Minnesota, USA Coarse Graining and Dynamics of Patterns on 4:15-4:40 Phase Separation from Dimensionality Reduction Directional Quenching and Multi-dimensional Domains Unbalanced Patterns in Cahn-Hilliard for Stochastic Dynamical - Part I of II and Allen-Cahn Equations Systems - Part I of II Rafael Monteiro da Silva, University of 3:45 PM-5:45 PM Minnesota, USA 3:45 PM-5:45 PM Room:Superior A 4:45-5:10 A Dynamical Approach Room:Wasatch A For Part 2 see MS150 to Elliptic Equations on Bounded For Part 2 see MS151 The study of patterns which are Domains In numerous application areas, e.g. inherently multi-dimensional has Alim Sukhtayev, Indiana University, USA molecular dynamics or geophysical fluid diverse applications in areas such 5:15-5:40 Waves and Obstacles in dynamics, one encounters stochastic as ecology, fluid dynamics, polymer Square Lattices systems whose complexity renders an physics, chemical deposition, and Hermen Jan Hupkes, University of Leiden, efficient numerical analysis virtually optics. We wish to bring together The Netherlands; Erik Van Vleck, impossible. It is then the goal of coarse researchers working in different University of Kansas, USA; Aaron graining methods to replace the full settings and who use different technical Hoffman, Franklin W. Olin College of description of the system by a reduced approaches to surmount the numerous Engineering, USA; Leonardo Morelli, representation that retains the properties difficulties which arise when studying University of Leiden, The Netherlands of interest. This minisymposium features such patterns. We wish to highlight novel approaches for the systematic advances which tackle these difficulties derivation of coarse grained models, their using classical and infinite-dimensional numerical realization with a focus on dynamical systems techniques (for data-driven methods, and their validation instance, exponential dichotomies, the based on both mathematical insight as Maslov index, and the Evans function, well as real-life experiments. We have and their multi—spatial-dimension tried to keep a balance between younger extensions), as well as approaches and more established speakers, thus the which bypass them through the use minisymposium would be an excellent of functional analysis, modulational/ vehicle for bringing both new faces and asymptotic analysis, and variational new ideas to SIAM DS. tools. While the dynamical systems viewpoint in general provides a Organizer: Stefan Klus relatively thorough understanding of Freie Universität Berlin, Germany the phenomena, these latter techniques Organizer: Andreas Bittracher offer novel alternatives and allow for Freie Universitaet Berlin, Germany the study of new areas. We also hope that by bringing together theoretical, Organizer: Carsten Hartmann numerical, and modeling perspectives, Brandenburgische Technische Universität new connections can be made, possibly Cottbus, Germany fostering future collaborations. 3:45-4:10 Complex Dynamics in Multiscale Systems Organizer: Ryan Goh Serafim Kalliadasis, Imperial College London, Boston University, USA United Kingdom Organizer: Qiliang Wu 4:15-4:40 Diffusion Forecast: A Michigan State University, USA Nonparametric Probabilistic Modeling of Dynamical Systems John Harlim, Pennsylvania State University, USA 4:45-5:10 Information-Theoretic Methods for Coarse-Graining Stochastic Dynamics Petr Plechac, University of Delaware, USA

continued in next column 5:15-5:40 Coarse Graining under Prevalent Embeddings Andreas Bittracher, Freie Universitaet Berlin, Germany SIAM Conference on Applications of Dynamical Systems 91

Wednesday, May 24 3:45-4:10 Progress in Random Number Wednesday, May 24 Generation with Chaotic Lasers MS139 Atsushi Uchida, Kazusa Ugajin, Yuta MS140 Terashima, and Keigo Yoshiya, Saitama Recent Advances in University, Japan New Developments in Chaos-based and Noise- 4:15-4:40 Real-Time Fast Physical Attractor Reconstruction based Random Number Random Number Generators 3:45 PM-5:45 PM Yuncai Wang, Pu Li, Anbang Wang, Jianguo Generation Room:White Pine Zhang, Xianglian Liu, Yanqiang Guo, 3:45 PM-5:45 PM and Luxiao Sang, Taiyuan University of Attractor reconstruction originated with Room:Magpie A Technology, China a topological theorem of Takens which shows how to reconstruct the state This minisymposium aims at presenting 4:45-5:10 Quantum Random Number Generator: Speed and Security space of a dynamical system from a the cutting-edge technologies of chaos- Jun Zhang, University of Science and generic observable. The Takens theorem based and noise-based random number Technology of China, China guarantees a topological reconstruction, up generation (RNG) as well as emerging to diffeomorphism, in the limit of infinite fundamental issues on the evaluation of 5:15-5:40 Shannon Entropy Estimation data. However, this theoretical guarantee physical entropy source of RNG. The Based on Chaotic Attractor Reconstruction for a Semiconductor belies significant practical limitations, research field on RNG with chaotic or Laser such as data requirements, presence of noisy lasers has been developed very Xiao-Zhou Li, Jun-Ping Zhuang, Song-Sui noise, tuning of nuisance parameters, rapidly since the first demonstration Li, and Sze-Chun Chan, City University of and strongly biased geometry. Recently, was reported in 2008. We discuss Hong Kong, Hong Kong the proliferation of big data gathered three aspects of recent development of from complex dynamical systems has RNG in this minisymposium: speed, led to renewed interest. In particular, miniaturization, and entropy-source the geometric, statistical, and stability/ evaluation. The speed of RNG has been robustness aspects of the reconstruction improved drastically from Gigabit to process are being reconsidered. In this Terabit per second for a decade. The minisymposium, we explore methods miniaturization of RNG with photonic of modifying and improving attractor integrated circuits has been progressing, reconstruction, and extensions of the and real-time implementation of post- methodology for dynamical data analysis. processing has been reported to distill random numbers. Compared with these Organizer: Tyrus Berry two directions of RNG, the evaluation George Mason University, USA techniques of the quality of generated Organizer: Franz Hamilton random numbers are still lacking, since North Carolina State University, USA the random numbers are generated from both physical entropy source and 3:45-4:10 Nonparametric complicated digital post-processing. Reconstruction from Noisy Time Series: The Kalman-Takens Method Apart from the digital post-processing, Franz Hamilton, North Carolina State the evaluation of the quality of physical University, USA entropy source (e.g., Kolmogorov- Sinai entropy estimated from Lyapunov 4:15-4:40 Topological Symmetries: spectrum) is one of the most important Quasiperiodicity and Its Application to Filtering and Classification Problems issues, which will be discussed in Michael Robinson, American University, USA this minisymposium. We believe this minisymposium is timely and of much 4:45-5:10 Stabilizing Embedology: When significance. We hope that the proposed Do Delay-Coordinate Maps Preserve minisymposium will lead to new Geometry? Armin Eftekhari, Alan Turing Institute, United collaborations and new directions of this Kingdom; Han Lun Yap, Georgia Institute research field. of Technology, USA; Michael B. Wakin, Organizer: Atsushi Uchida Colorado School of Mines, USA; Chris Rozell, Georgia Institute of Technology, USA Saitama University, Japan 5:15-5:40 Delay Embeddings and the Spectra of Koopman Operators Suddhasattwa Das, New York University, continued in next column USA; Dimitrios Giannakis, Courant Institute of Mathematical Sciences, New York University, USA 92 SIAM Conference on Applications of Dynamical Systems

Wednesday, May 24 Wednesday, May 24 Glycinergic Neurons in the Pre- Bötzinger Complex Are Crucial for Dinner Break PP2 Eupnea: An Optogenetic Study 5:45 PM-8:30 PM William H. Barnett and Yaroslav Molkov, Poster Session and Dessert Georgia State University, USA; Ana Abdala Attendees on their own Reception and Beihui Liu, University of Bristol, United Kingdom; Davi Moraes, University 8:30 PM-10:30 PM of Sao Paulo, Brazil; Sergey Kasparov and Room:Ballroom Lucas Koolen, University of Bristol, United DSWeb Editorial Board Kingdom; Jeffrey Smith, National Institutes Meeting Social Experience Reconfigures of Health, USA; Julian Paton, University of Decision-Making Circuits in Zebrafish Bristol, United Kingdom 6:00 PM-8:00 PM Sungwoo Ahn, Thomas Miller, and Katie Clements, East Carolina University, USA; Particle Diffusion and Competitive Room:Aerie Restaurant (Mountain Private Choongseok Park, University of Pittsburgh, Receptor Binding Dining Room) USA; Eoon Hye Ji, University of California, Alla Borisyuk, University of Utah, USA; Los Angeles, USA; Fadi Issa, East Carolina Gregory A. Handy and Sean Lawley, University, USA University of Utah, USA Network Bursting in Melibe Swim CPG Improving Network Inference of Deniz Alacam and Andrey Shilnikov, Georgia Oscillatory Systems: The Impact of State University, USA False Positive and False Negative Conclusions About the Presence Or Theory and Computation of Nonlinear Absence of Links Deformation Spectra of Flows Gloria Cecchini, Bjoern Schelter, Marco Siavash Ameli, University of California, Thiel, and Linda Sommerlade, University Berkeley, USA of Aberdeen, United Kingdom Symbolic Dynamics Applied to a Partial Synchronization in Pulse- Numerical Simulation of a Perturbed Coupled Oscillator Networks Hill’s Spherical Vortex Bolun Chen, Jan Engelbrecht, and Renato Joshua Arenson, University of California, Mirollo, Boston College, USA Merced, USA; Spencer A. Smith, Mount Holyoke College, USA; Kevin A. Mitchell, Axonal Transport in Cells: Modeling of University of California, Merced, USA Motor-Cargo Dynamics Abhishek Choudhary, Rensselaer Polytechnic Channel Capacity of Cardiac Action Institute, USA Potential Transmission and Spiral Wave Initiation Noise-Induced Stabilization of Ameneh Asgari-Targhi, University of Collective Behavior in Oscillatory Glasgow, Scotland, UK; Hiroshi Ashikaga, Ensembles Johns Hopkins University, USA Pau Clusella Cobero and Antonio Politi, University of Aberdeen, United Kingdom Computing the Optimal Path for Stochastic Populations Coupled Numerical Solutions of Three Through Migration Dimensional Telegraphic Equations Alexa Aucoin, Lora Billings, and Eric Using Differential Quadrature Method Forgoston, Montclair State University, USA Sumita Dahiya and Ramesh Mittal, Indian Institute of Technology Roorkee, India Conservation Laws in Nonlocal Equations Observation Impact in Data Berry Bakker, VU University, Amsterdam, Assimilation for Flood Inundation Netherlands Forecasting Sarah Dance and Elizabeth Cooper, Three-Dimensional Chattering of Rigid University of Reading, United Kingdom; Bodies Javier Garcia-Pintado, University of Tamás Baranyai and Peter L. Varkonyi, Bremen, Germany; Nancy K. Nichols and Budapest University of Technology and Polly Smith, University of Reading, United Economics, Hungary Kingdom Closed-Form Solutions and New Algorithm for Two-Dimensional Frictional Problems Jim Barber, University of Michigan, USA

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Synaptic Plasticity in Excitatory and High-Order Finite-Difference Time- Designing a Finite-Time Mixer: Inhibitory Hippocampal Neuron Domain Simulation of Electromagnetic Optimizing Stirring for Two- Circuit Dynamics Waves at Complex Interfaces Dimensional Maps Claire Seibold, Dominika Dec, and Emily F. Between Dispersive Media Rebecca A. Mitchell and James D. Meiss, Stone, University of Montana, USA Michael Jenkinson, Rensselaer Polytechnic University of Colorado Boulder, USA Institute, USA Determining the Mean Field Global Invariant Manifolds and Slow Dynamics in Complex Networks Via Torus Bifurcation in Purkinje Cell Manifolds Near a Singular Hopf the Kramers-Moyal Expansion Huiwen Ju and Andrey Shilnikov, Georgia Bifurcation Nicolás Deschle and Björn Schelter, State University, USA; Alexander Neiman, Jose Mujica, Bernd Krauskopf, and Hinke University of Aberdeen, United Kingdom; University of Missouri, St. Louis, USA M. Osinga, University of Auckland, New Zealand Andreas Daffertshofer, Vrije Universiteit A Hamiltonian Formulation for the Amsterdam, The Netherlands Estimation of Partially Observed Global Regularity in a Surface Growth Spectral Properties of Spiral Waves in Chaotic Systems Model Using a-Posteriori Methods the Barkley Model Nirag Kadakia, Daniel Rey, Jingxin Ye, Christian Nolde, Universität Augsburg, Stephanie Dodson and Bjorn Sandstede, and Henry D. Abarbanel, University of Germany; Dirk Blömker, Universitaet Brown University, USA California, San Diego, USA Augsburg, Germany Developing a Hybrid Model Consensus in One and Two Population Improving Synchronization Via for Chemotactically Driven Models of Opinion Dynamics Adaptive Rewiring in Networks of Neuritogenesis Ratna Khatri, George Mason University, Kuramoto Oscillators Jeremy P. D’Silva and Marisa Eisenberg, USA Lia Papadopoulos, Jason Kim, and Danielle University of Michigan, USA S. Bassett, University of Pennsylvania, Topological Principles of Control in USA Large Time Behavior of a Conserved Dynamical Networks Phase-Field System Jason Kim, University of Pennsylvania, USA; A Discontinuous Map for a Human Cyril D. Enyi, King Fahd University of Fabio Pasqualetti, University of California, Sleep-Wake Network Model Predicts Recovery from Sleep Deprivation Petroleum and Minerals, Saudi Arabia Riverside, USA; Danielle S. Bassett, University of Pennsylvania, USA Sofia H. Piltz, University of Michigan, USA; Exploring the Risk of Cecilia Diniz Behn, Colorado School of Desynchronization in Complex The Acceleration and Deceleration Mines, USA; Victoria Booth, University of Networks of Mixing Rates by Discontinuities in Michigan, USA Jeremie A. Fish and Jie Sun, Clarkson Chaotic Flows University, USA Hannah E. Kreczak, Rob Sturman, and Oscillatory States in Working Memory Mark Wilson, University of Leeds, United Model Facilitate Activation and Measurement Sequences and Kingdom Network Capacity Chernoff Information Jason E. Pina, University of Pittsburgh, USA Andrew M. Fraser, Los Alamos National Reaction Front Barriers in Unsteady Laboratory, USA Fluid Flows Unraveling the Chaos-Land and Rory A. Locke and Kevin A. Mitchell, Its Organization in the Rabinovich Parameter Estimation for Dynamical University of California, Merced, USA System Systems Using Bifurcation Analysis Krishna Pusuluri, Georgia State University, Jace E. Gilbert and Paul J. Hurtado, Inference and Comparison of USA; Arkady Pikovsky, University of University of Nevada, Reno, USA Dynamical Systems As Models for Potsdam, Germany; Andrey Shilnikov, Glacial Climate Variability Saddle Slow Manifolds and Canard Georgia State University, USA Johannes Lohmann and Peter Ditlevsen, Orbits in the Hodgkin-Huxley Model University of Copenhagen, Denmark Kernel-Based Lasso for the Inference Cris Hasan, Hinke M. Osinga, and Bernd of Complex Spatial Networks Krauskopf, University of Auckland, New A Variant of the Aubry-André Model Fernando J. Quevedo, Erik Bollt, and Jie Zealand for Granular Materials Sun, Clarkson University, USA Alejandro J. Martinez, University of Oxford, Clustered Ventilation Defects in United Kingdom; Mason A. Porter, A Model of Localized States in Visual Asthmatics University of California, Los Angeles, Cortex Austin J. Ibarra, University of Auckland, USA; Panayotis Kevrekidis, University of James Rankin, New York University, New Zealand Massachusetts, USA USA; Frédéric Chavane, Institut de Mathematical Tales of Fairy Circles Neurosciences de la Timone, CNRS & A Heterodimensional Cycle in the Aix-Marseille Université, Marseille, France Olfa Jaibi, University of Leiden, The Flow of a 4D Differential Equation Netherlands; Martina Chirilus-Bruckner Gemma Mason, University of Auckland, New Synchronized Bursting from Combined and Arjen Doelman, Leiden University, Zealand; Andy Hammerlindl, Monash Inhibitory and Electrical Coupling in a Netherlands; Ehud Meron, Ben-Gurion University, Australia; Bernd Krauskopf and Neuronal Model University, Israel Hinke M. Osinga, University of Auckland, Reimbay Reimbayev, Kevin Daley, and Igor New Zealand Belykh, Georgia State University, USA

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Wednesday, May 24 Mean Field Reduction for Expanding Pattern Formation in Marsh Ecosystems Maps Coupled on Heterogeneous Modeled Through the Interaction PP2 Networks of Marsh Vegetation, Mussels and Matteo Tanzi, Imperial College London, Sediment Poster Session and Dessert United Kingdom Sofya Zaytseva, The College of William & Mary, USA; Leah Shaw and Junping Reception Bifurcation of Coherent Structures in Shi, College of William & Mary, USA; Nonlocally Coupled System 8:30 PM-10:30 PM Rom Lipcius, Virginia Institute of Marine Tianyu Tao, University of Minnesota, USA; continued Science, USA Arnd Scheel, University of Minnesota, Minneapolis, USA A Parameter Estimation Method Using Linear Response Statistics A New Partitioned Method for Viscous He Zhang, John Harlim, and Xiantao Li, Fsi Computing Electron Transport Rates Pennsylvania State University, USA Via Classical Periodic Orbits David Wells, Rensselaer Polytechnic Institute, Sulimon Sattari, University of California, USA Geometry of Transition Dynamics for a Buckled Beam Merced, USA Connecting Vegetation Models with Jun Zhong, Virginia Tech, USA; L. N. Virgin, Data: the Role of Topography, on Droplet Motion for the Stochastic Duke University, USA; Shane D. Ross, Multiple Scales, for Water Harvesting Cahn-Hilliard Equation Virginia Tech, USA Alexander Schindler, Universität Augsburg, in Channeled Vegetation Patterns Germany; Dirk Blömker, Universitaet Lucien D. Werner, Northwestern University, Augsburg, Germany USA; Punit Gandhi, Ohio State University, USA; Karna V. Gowda, Northwestern Model of Dendronotus Iris Swim Cpg University, USA; Sarah Iams, Harvard Circuit University, USA; Mary Silber, University Andrey Shilnikov, Deniz Alacam, and Jack of Chicago, USA Scully, Georgia State University, USA Goal-Oriented Network Design for Validated Computations for Pairwise Comparison Ranking Heteroclinic Orbits Between Shandeepa D. Wickramasinghe, Christino Hyperbolic Equilibria for ODEs Tamon, and Jie Sun, Clarkson University, Ray Sheombarsing, VU University, USA Amsterdam, Netherlands Spectra and Turing Instabilities for The Effect of Latent Confounding Reaction Diffusion Systems with Processes on the Estimation of the Anomalous Diffusion Strength of Casual Influences in Jichen Yang and Jens Rademacher, University Chain-Type Networks of Bremen, Germany Helen Shiells, Marco Thiel, Claude Wischik, Political Elections and Third Parties: A and Björn Schelter, University of Mathematical Model and Empirical Aberdeen, United Kingdom Evidence Coherent Structures in Axially Vicky Chuqiao Yang and Daniel M. Abrams, Symmetric Landau-Lifshitz-Gilbert- Northwestern University, USA; Georgia Slonczewski Equation Kernell, University of California, Los Lars Siemer and Jens Rademacher, Angeles, USA; Adilson E. Motter, University of Bremen, Germany; Christof Northwestern University, USA Melcher, RTWH Aachen, Germany Dynamics of a Class I Calcium Model System Parameter Variations from Xueshan Yang, University of Auckland, Attractor Deformation New Zealand; Vivien Kirk, University of Andrew R. Sloboda and Trung Tran, Bucknell Auckland, New Zealand; James Sneyd, University, USA University of Auckland, New Zealand Bounds for Generalised Lyapunov Stability Properties of Flying Snakes Exponents for Random Products of During Transient Glides Shears Isaac Yeaton, Gary K. Nave, John Socha, and Rob Sturman, University of Leeds, United Shane D. Ross, Virginia Tech, USA Kingdom; Jean-Luc Thiffeault, University of Wisconsin, Madison, USA

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Thursday, May 25 Thursday, May 25 Thursday, May 25 MS141 MS142 Recent Developments in Symmetry, Asymmetry, and Registration Objective Coherent Structure Network Synchronization 8:00 AM-4:00 PM Detection - 8:30 AM-10:30 AM Room:Ballroom Foyer Part II of II Room:Ballroom 2 8:30 AM-10:00 AM The recent discovery of new patterns of Room:Ballroom 1 network synchronization has shed new For Part 1 see MS128 light on the role of symmetry resulting Coherent structures play a significant from the interplay between the dynamical role in the transport and mixing of units, the interactions, the initial passive and active scalars in fluids. Such conditions, and possible coupling with structures arise at spatial scales ranging external factors. In particular, symmetry, from the geophysical to the nanofluidic. asymmetry, symmetry breaking, and the Their self-consistent detection requires converse of symmetry breaking have objective mathematical approaches, i.e., been shown to underlie various forms of independent of an assumed observer. synchronization dynamics in networks. This two-part minisymposium brings This minisymposium brings together together theoreticians, computational contributions at the forefront of these experts and experimentalists to survey developments, including the topics of the current state of the art and challenges asymmetry-induced synchronization, in objective coherent structure analysis partial synchrony, east-west jet-lag and its applications. Part I reviews recent asymmetry, and chimera-like states. developments in coherent structure Organizer: Adilson E. Motter theory and numerical detection methods, Northwestern University, USA while Part II focuses on applied and experimental aspects in real-world flow Organizer: Takashi Nishikawa problems. Northwestern University, USA 8:30-8:55 Symmetric States Requiring Organizer: Daniel Karrasch System Asymmetry Technische Universität München, Germany Takashi Nishikawa and Adilson E. Motter, Organizer: George Haller Northwestern University, USA ETH Zürich, Switzerland 9:00-9:25 Two Types of Quasiperiodic 8:30-8:55 Application of Dynamical Partial Synchrony: What Happens Systems Approach to Lagrangian When Symmetric States Become Separation in Laminar and Turbulent Unstable Flows Michael Rosenblum, University of Potsdam, Seán Crouzat and Jérôme Vétel, Polytechnique Germany Montreal, Canada 9:30-9:55 Resynchronization of 9:00-9:25 Objective Detection of Circadian Oscillators and the East- Kinematic and Magnetic Vortices in West Asymmetry of Jet-Lag Zhixin Lu, University of Maryland, USA; Astrophysical Plasmas Erico L. Rempel, ITA - Technological Institute Kevin Klein-Cardena, DePaul University, USA; Steven Lee, City University of New of Aeronautics, Brazil; Abraham C. Chian, York, Brooklyn, USA; Thomas Antonsen University of Adelaide, Australia; Francisco Jr., Michelle Girvan, and Edward Ott, J. Beron-Vera, University of Miami, USA; University of Maryland, USA Sandor Szanyi and George Haller, ETH Zürich, Switzerland; Tiago F. P. Gomes, 10:00-10:25 Chimera and Chimera- National Institute for Space Research, Brazil; Like States in Populations of Suzana S. A. Silva, ITA - Technological Nonlocally Coupled Homogeneous Institute of Aeronautics, Brazil and Heterogeneous Chemical Oscillators 9:30-9:55 Ephemeral Transport Kenneth Showalter, West Virginia University, Boundaries in Geophysical Fluid Flows USA Denny Kirwan, Henry Chang, and Helga S. Huntley, University of Delaware, USA 96 SIAM Conference on Applications of Dynamical Systems

Thursday, May 25 Thursday, May 25 9:00-9:25 Finite Size Effects and Rare Events in Balanced Cortical Networks MS143 MS144 Jeffrey Dunworth and Bard Ermentrout, University of Pittsburgh, USA; Michael Simple Systems with Quantitative Models Graupner, Université Paris Descartes, Complex Dynamics - Part II of Neural Dynamics - France; Alex Reyes, New York University, of II Challenges and Limitations USA; Brent Doiron, University of Pittsburgh, USA 8:30 AM-10:30 AM 8:30 AM-10:30 AM 9:30-9:55 A Path-Integral Approach to Room:Ballroom 3 Room:Primrose A Data Assimilation for Mapping Small For Part 1 see MS130 This minisymposium is concerned with Neuronal Networks Lab experiments can often be very costly development and analysis of quantitative Eve Armstrong, University of California, San Diego, USA as they may require expensive equipment. models of neural dynamics. Neural However, research in dynamical systems dynamics can be modeled on different 10:00-10:25 Clustered can still be done using simple table top levels, from membrane potential Desynchronization of Neural Oscillators experiments at low cost. Many of these dynamics in detailed single-cell models, Jeff Moehlis and Timothy Matchen, University systems may seem extremely simple to discrete networks of individual of California, Santa Barbara, USA and mundane in set up, yet they can neurons, to spatially extended neural be very rich in their dynamics. In this field models giving a coarse-grained minisymposium, we present four table description of activity in neural tissue. In top experiments involving mechanical, many cases, simulations of these models chemical and electrical oscillators and quantitatively reproduce experimental show how they can produce complex data and allow for formulation of phenomena such as synchronization, experimentally falsifiable predictions. period doubling bifurcation and chaos. On the other hand, complexity of We also demonstrate how these systems the quantitative models can limit the can be studied mathematically and applicability of theoretical and numerical numerically. tools for analysing dynamical systems. Organizer: Andrea J. Welsh The talks will showcase different modelling approaches, parameter Georgia Institute of Technology, USA identification methods and data Organizer: Mary Elizabeth Lee assimilation techniques that can be used Georgia Institute of Technology, USA to reproduce experimentally observed 8:30-8:55 Coherent Structures in phenomena and make predictions. the Motion of Reaction Fronts and More generally, the minisymposium Swimming Organisms in Laminar Flows will illustrate how modern dynamical Thomas H. Solomon, Minh Doan, Katie systems theory fits in the framework of Lilienthal, JJ Simons, Payton Johnsom, and quantitative modelling of neural systems. Joan Gannon, Bucknell University, USA Organizer: Piotr Slowinski 9:00-9:25 Jamming in Granular Systems University of Exeter, United Kingdom of Regular Polygons Cacey Stevens Bester and Yiqiu Zhao, Duke Organizer: James Rankin University, USA; Jonathan Bares, University New York University, USA of Montpellier, France; Robert Behringer, 8:30-8:55 Large-Scale Connectome- Duke University, USA Based Brain Networks Models of 9:30-9:55 Noise, Chaos and Random Seizure Spread Numbers Viktor Jirsa, Aix-Marseille Université, France Kevin Fei, Harvard University, USA; Joseph Hart, University of Maryland, USA; Thomas E. Murphy and Rajarshi Roy, University of Maryland, College Park, USA 10:00-10:25 Dynamical Transitions Between a Limit Cycle and a Fix Point in a Saline Oscillator Flavio H. Fenton, Georgia Institute of Technology, USA; Hortencia Gonzales and Humberto Arce, Universidad Nacional continued in next column Autónoma de México, Mexico SIAM Conference on Applications of Dynamical Systems 97

Thursday, May 25 Organizer: Arjen Doelman Thursday, May 25 Leiden University, Netherlands MS145 8:30-8:55 Amoeboid Locomotion in MS146 Pattern Formation in Heterogenous Media Large Scale Dynamics Reaction-diffusion Systems Kei-Ichi Ueda, University of Toyama, in Coupled Systems on Japan; Itsuki Kunita, Kumamoto with Heterogenous University, Japan; Shigeru Kuroda, Networks - Part II of II Parameters Dai Akita, and Toshiyuki Nakagaki, 8:30 AM-10:30 AM Hokkaido University, Japan 8:30 AM-10:30 AM Room:Maybird 9:00-9:25 The Stability and Slow Room:Primrose B Dynamics of Localized Spot Patterns For Part 1 see MS133 There is a large body of work on pattern for the 3-D Schnakenberg Reaction- Many natural and man-made networks formation in RD systems, spanning Diffusion Model in physical and life sciences feature several decades. It is natural to ask Justin C. Tzou, University of British extraordinary richness and complexity what happens when parameters are Columbia, Canada of interconnections. Understanding either spatially or time-dependent. Most 9:30-9:55 Wavenumber Selection Via collective dynamics of such networks of the problems in nature have some Spatial Parameter Step poses new challenges for nonlinear variance or impurities in parameters Jasper Weinburd, University of Minnesota, science and calls for new approaches over the domain, and this can have a Twin Cities, USA; Arnd Scheel, incorporating combinatorial and significant effect on pattern formation. University of Minnesota, Minneapolis, probabilistic methods into dynamical For example, the classical problem of USA analysis of complex systems. The talks zone of fishing exclusion near the coast 10:00-10:25 Title Not Available At of this minisymposium address large corresponds to taking a piecewise- Time Of Publication time behavior, pattern formation, and constant harvest rate. Other applications Shuangquan Xie, Dalhousie University, bifurcations in coupled networks with an include vegetation patterns with variable Canada emphasis on the link between the network precipitation rates, pattern development structure and its dynamics. on growing domains, cell differentation, Organizer: Georgi S. Medvedev and patterns on surfaces, which depend Drexel University, USA on thickness and curvature of the surface. Recent advances have shown Organizer: Hayato Chiba that incorporating heterogenuity can Kyushu University, Japan lead to a completely new phenomena as 8:30-8:55 Molecular Mechanisms well as new and interesting mathematics. Underlying the Kuramoto Model of This minisymposium will showcase Coupled Oscillators recent developments in this direction, Jae Kyoung Kim, Korea Advanced Institute of connecting diverse groups that study Science and Technology, Korea; Zachary P. these phenomena from various points Kilpatrick, University of Colorado Boulder, of view (spectral methods, geometric USA; Matthew Bennett, Rice University, USA; Kresimir Josic, University of singular perturbation, asymptotic theory, Houston, USA mean-field analysis...). The goal is to identify future challenges and new 9:00-9:25 Turing Patterns in Reaction- directions. Some potential subtopics diffusion Systems on Random Networks include: Spatial impurities and their Hiroya Nakao, Tokyo Institute of Technology, Japan effect on pattern formation; Spike concentrations with precursor gradients 9:30-9:55 Approximating Consensus or variable feed-rate; Effect of slowly- with Graph Limits varying parameters on pattern formation; Barton Lee, University of New South Wales, Applications to ecology and biology. Australia 10:00-10:25 Dynamics of Large Organizer: Theodore Networks of FitzHugh-Nagumo Kolokolnikov Neuronal Models with Heterogeneous Dalhousie University, Canada Inputs Elizabeth Davison, Biswadip Dey, Zahra Aminzare, and Naomi E. Leonard, Princeton University, USA

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Thursday, May 25 Thursday, May 25 8:30-8:55 Causation Entropy and Pure Inference of Boolean Factors MS147 MS148 Jie Sun and Erik Bollt, Clarkson University, USA Dynamics in Microbiology Causation Inference 9:00-9:25 Significance Testing of 8:30 AM-10:30 AM and Information Flow in Information Theoretic Quantities Room:Magpie B Dynamical Systems: Theory Shawn D. Pethel, US Army RDECOM, USA; and Applications - Part II of II Daniel Hahs, Torch Technologies, USA The field of microbiology is rapidly 9:30-9:55 Multivariate Dependence growing and evolving in response 8:30 AM-10:30 AM Beyond Shannon Information to introduction of powerful, novel Room:Wasatch B Ryan G. James, University of California, technologies of various sorts (e.g., the For Part 1 see MS135 Davis, USA ‘omics revolution) and the consequent A basic question in science is to infer data that they are generating. In response, 10:00-10:25 Prediction vs Generation in amongst causal interactions. In terms Simple Markov Chains it is increasingly clear that there is an of dynamical systems, one may ask John R. Mahoney, University of California, important role for mathematics at many amongst coupled dynamic variables, Davis, USA; Josh Ruebeck, Carleton levels, but notably including through which may influence each other, and College, USA; Ryan G. James, University analysis of dynamics at scales from furthermore, directly so. Information of California, Davis, USA the cellular to the community. This theoretic descriptions of chaotic minisymposium is intended to present a dynamical systems have underpinnings sample of such studies. in symbolic dynamics, whereas the Organizer: Isaac Klapper Shannon information underpins general Temple University, USA concepts of entropy and data. Analogous 8:30-8:55 Dynamics of Cell Signaling to Granger causality for linear systems, Within a Biofilm transfer entropy has become a highly Jack D. Dockery, Montana State University, popular way to consider questions of USA pairwise information flow between 9:00-9:25 Metabolic Processes As nonlinear dynamical systems. In a basic Dynamical Systems. A Hotbed of sense the measurement describes how Nonlinear Phenomena? observations of various factors of an Doraiswami Ramkrishna, Purdue University, underlying system effect predictability of USA other factor. However, transfer entropy 9:30-9:55 Exclusion and Clock can not properly represent secondary Behavior in An Oscillating Chemostat versus primary influences when used Isaac Klapper, Temple University, USA in large scaled coupled systems leading to causation entropy as a specifically 10:00-10:25 Separating Putative conditioned transfer entropy. In this Pathogens from Background Contamination with Principal session, applications of information flow Orthogonal Decomposition: Evidence in social and also animal interaction for Leptospira in the Ugandan systems will be discussed. However, there Neonatal Septisome are important limitations and caveats Steven J. Schiff, Pennsylvania State that must be understood so as to not over University, USA interpret what can understood in using transfer entropy like quantities, such as resolution and Markov order and also questions of when pairwise interactions can completely capture all influences, versus inherently multi- element interactions. Organizer: Erik Bollt Clarkson University, USA Organizer: Shawn D. Pethel US Army RDECOM, USA

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Thursday, May 25 8:30-8:55 Master Stability Islands Thursday, May 25 for Amplitude Death in Networks of MS149 Delay-Coupled Oscillators MS150 Stanley R. Huddy and Jie Sun, Clarkson Delay and Stability of University, USA Existence, Stability, and Dynamics of Patterns on Complex Network Dynamics 9:00-9:25 Dynamic Networks and 8:30 AM-10:30 AM Delay: Communication Delay on Time Multi-dimensional Domains Varying Networks - Part II of II Room:Superior B Joseph Skufca, Clarkson University, USA 8:30 AM-10:30 AM Time delay plays an important role in 9:30-9:55 Controlling Nonlinear many coupled dynamical processes Biological Systems Based on Network Room:Superior A including electrical circuits, lasers, Structures For Part 1 see MS137 animal interactions, and other types of Atsushi Mochizuki, RIKEN, Japan The study of patterns which are complex excitable systems, spanning 10:00-10:25 Patterns in Circular inherently multi-dimensional has diverse interdisciplinary fields such as biology, Networks of Excitable Systems with applications in areas such as ecology, neuroscience, engineering, chemistry, Time Delay fluid dynamics, polymer physics, etc. Understanding the effects of time Serhiy Yanchuk, Technical University Berlin, chemical deposition, and optics. We delay on the dynamic patterns, and on the Germany; Leonhard Lücken, German wish to bring together researchers control and stability of complex networks Aerospace Center (DLR), Germany; David working in different settings and who has become an exciting topic that has P. Rosin and Vasco Worlitzer, Technische use different technical approaches to attracted attention from many researchers Universitaet Berlin, Germany surmount the numerous difficulties in the nonlinear dynamics community. which arise when studying such patterns. In this minisymposium, we will bring We wish to highlight advances which together four experts in the field of time tackle these difficulties using classical delay and nonlinear network dynamics and infinite-dimensional dynamical to discuss their recent contributions systems techniques (for instance, to this active area of research. These exponential dichotomies, the Maslov presentations will cover a diverse set of index, and the Evans function, and their problems, including the mathematical multi—spatial-dimension extensions), as analysis of the effects of coupling delay well as approaches which bypass them on oscillation and amplitude death through the use of functional analysis, islands, intricate interplay between modulational/asymptotic analysis, and communication delay and time-dependent variational tools. While the dynamical network structure, delay and control systems viewpoint in general provides of biological networks, and emerging a relatively thorough understanding of patterns of delay-excitable systems. the phenomena, these latter techniques Organizer: Stanley R. Huddy offer novel alternatives and allow for the study of new areas. We also hope Clarkson University, USA that by bringing together theoretical, Organizer: Joseph Skufca numerical, and modeling perspectives, Clarkson University, USA new connections can be made, possibly fostering future collaborations. Organizer: Ryan Goh Boston University, USA Organizer: Qiliang Wu Michigan State University, USA

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Thursday, May 25 Thursday, May 25 Thursday, May 25 MS150 MS151 MS152 Existence, Stability, and Coarse Graining and Data Driven Biomedical Dynamics of Patterns on Dimensionality Reduction Dynamics, Modeling and Multi-dimensional Domains - for Stochastic Dynamical Data Assimilation Part II of II Systems - Part II of II 8:30 AM-10:30 AM 8:30 AM-10:30 AM 8:30 AM-10:30 AM Room:Magpie A continued Room:Wasatch A We will discuss novel computational For Part 1 see MS138 methods and newly available biomedical In numerous application areas, e.g. data to develop biological models, 8:30-8:55 Interfacial Dynamics in molecular dynamics or geophysical fluid reconstruct and forecast biological Biological Systems dynamics, one encounters stochastic systems, and observe new biological Scott McCalla, Montana State University, systems whose complexity renders an dynamics in different contexts. Our USA; James von Brecht, California State efficient numerical analysis virtually minisymposium has three goals driven by University, Long Beach, USA impossible. It is then the goal of coarse uniting dynamical systems with data, to 9:00-9:25 The Soft Mode Plays A Role graining methods to replace the full push forward mechanistic, high-fidelity In Defect Persistence In Pattern- description of the system by a reduced biological modeling, understand the data Forming Systems representation that retains the properties collection properties that can help make Patrick Shipman, Colorado State University, of interest. This minisymposium features model development and forecasting more USA novel approaches for the systematic accurate, and to detail the mathematical 9:30-9:55 Stripe Formation on Zebrafish derivation of coarse grained models, their machinery that can help achieve a deeper Fins numerical realization with a focus on understanding of biology and physiology. Alexandria Volkening and Bjorn Sandstede, data-driven methods, and their validation We bring together diverse people whose Brown University, USA based on both mathematical insight as foci range from data assimilation, to time series analysis, to dynamical 10:00-10:25 Spots and Stripes: well as real-life experiments. We have Vegetation Patterns in Drylands tried to keep a balance between younger systems, to large-scale data. The opics we Eric Siero, Leiden University, Netherlands and more established speakers, thus the address include: glucose-insulin model minisymposium would be an excellent mechanism development and refinement vehicle for bringing both new faces and using data assimilation and sparse, new ideas to SIAM DS. self-collected physiologic data; a new framework for online data assimilation- Organizer: Stefan Klus based state forecasting using competing Freie Universität Berlin, Germany offline Bayesian and Optimization Organizer: Andreas Bittracher parameter estimation methods in the Freie Universitaet Berlin, Germany context of glucose physiology; methods for understanding health and treatment Organizer: Carsten Hartmann dynamics applied to new, world-spanning Brandenburgische Technische Universität big health data sets; and a new statistical Cottbus, Germany framework to go from single or multi- 8:30-8:55 The Cgdna Coarse Grain unit recordings to data assimilation Model of the Sequence-Dependent in mean-field models. The talks focus Statistical Mechanics of DNA integrating a diverse set of tools such as John H. Maddocks, École Polytechnique Bayesian inverse methods, optimization, Fédérale de Lausanne, Switzerland data assimilation, spectral analysis and 9:00-9:25 The Coarse Graining of mechanistic biological modeling. Neural Field Models Yao Li, University of Massachusetts, Amherst, Organizer: David J. Albers USA Columbia University, USA 9:30-9:55 Effective Variables and Interaction Potentials for Coarse Graining of Macromolecular Systems Cecilia Clementi, Rice University, USA

10:00-10:25 Transfer Operator continued on next page Approximation Using Low-Rank Tensor Decompositions Stefan Klus, Freie Universität Berlin, Germany SIAM Conference on Applications of Dynamical Systems 101

Thursday, May 25 Thursday, May 25 Thursday, May 25 MS152 MS153 IP6 Data Driven Biomedical Variational Principles in Stochastic Arnold Diffusion Dynamics, Modeling and Mechanics of Deterministic Systems Data Assimilation 8:30 AM-10:30 AM 11:00 AM-11:45 AM 8:30 AM-10:30 AM Room:White Pine Room:Ballroom continued As one of the techniques of global Chair: Evelyn Sander, George Mason analysis, variational principles are University, USA 8:30-8:55 Physiologic Model known to be of fundamental importance In 1964, V. Arnold constructed Development Using Data Assimilation in mechanics and physics. This an example of a nearly integrable and Self-Monitoring Data minisymposium will discuss some of deterministicsystem exhibiting David J. Albers, Columbia University, USA the contemporary trends in variational instabilities. In the 1970s, physicist 9:00-9:25 Competitive Offline principles. The lectures will focus on the B. Chirikov coined the term for this Parameter Estimation for Online Data variational methods associated with fluid phenomenon “Arnold diffusion”, where Assimilation in Glucose Dynamics dynamics, fluid-structure interaction, and diffusion refers to stochastic nature Matthew Levine and David J. Albers, variational integrators for both finite- of instability. One of the most famous Columbia University, USA; Andrew Stuart, and infinite- dimensional mechanical examples of stochastic instabilities for California Institute of Technology, USA; systems. George Hripcsak, Columbia University, nearly integrable systems is dynamics USA Organizer: Dmitry Zenkov of Asteroids in Kirkwood gaps in the Asteroid belt. They were discovered 9:30-9:55 Dynamics and Big North Carolina State University, USA numerically by astronomer J. Wisdom. Biomedical Data Sets 8:30-8:55 Variational Discretization for During the talk we describe a class George Hripcsak, Columbia University, USA Fluid-structure Interactions of nearly integrable deterministic 10:00-10:25 Statistical Framework for Vakhtang Putkaradze, University of Alberta, Canada systems, where we prove stochastic Data Assimilation from Single & Multi- diffusive behavior. Namely, we show Unit Recording to Mean Field Network 9:00-9:25 A Variational Lagrangian that distributions given by deterministic Models Formulation for Nonequilibrium Bruce Gluckman, Pennsylvania State Thermodynamics evolution of certain random initial University, USA Francois Gay-Balmaz, Ecole Normale conditions weakly converge to a diffusion Superieure, France process. This result is conceptually different from known mathematical 9:30-9:55 Interpolation on Symmetric results, where existence of “diffusing Spaces via the Generalized Polar Decomposition orbits” is shown. This work is based Melvin Leok, University of California, San on joint papers with O. Castejon, M. Diego, USA Guardia, J. Zhang, and K. Zhang. 10:00-10:25 Explicit High-Order Vadim Kaloshin Symplectic Integration of Arbitrary University of Maryland, USA Hamiltonians Molei Tao, Georgia Institute of Technology, USA Lunch Break 11:45 AM-1:15 PM Coffee Break Attendees on their own 10:30 AM-11:00 AM Room:Golden Cliff 102 SIAM Conference on Applications of Dynamical Systems

Thursday, May 25 Thursday, May 25 1:15-1:40 Optimal Synchronization of Complex Networks MS154 MS155 Dane Taylor, University of North Carolina at Chapel Hill, USA; Per Sebastian Skardal, Recent Advances in the Advances in Network Trinity College, USA; Jie Sun, Clarkson Stability of Travelling Waves - Synchronization - Part I of II University, USA Part I of II 1:15 PM-3:15 PM 1:45-2:10 Synchronization in Lattices of Interacting Quantum Dipoles 1:15 PM-3:15 PM Room:Ballroom 2 Juan G. Restrepo, University of Colorado Room:Ballroom 1 For Part 2 see MS168 Boulder, USA For Part 2 see MS167 Synchronization of network-coupled 2:15-2:40 Unexpected Patterns: Nonlinear interactions in a wide variety dynamical systems has become a Chimera States on Networks of models can result in the propagation bedrock area of research in both the Daniel M. Abrams, Northwestern University, of fronts, pulses, wavetrains and other nonlinear dynamics and complex USA networks communities, with more complicated patterns. The speakers 2:45-3:10 Control and Optimization in this minisymposium will highlight applications ranging from improving of Phase and Chaotic Oscillator new advances in the study of stability signaling between reproductive Networks and dynamical properties of travelling cycles of cells to stabilizing the Per Sebastian Skardal, Trinity College, USA waves in nonlinear partial differential dynamics of large-scale power grids. equations. In this minisymposium we will bring together experts in the field Organizer: Robert Marangell to report on the recent advances in The University of Sydney, Australia the theoretical aspects of network Organizer: Peter van Heijster synchronization, as well as discuss Queensland University of Technology, the practical applications of this new Australia theory in real-world scenarios. The mini symposium will be organized Organizer: Matt Holzer into two parts, roughly corresponding George Mason University, USA to (i) synchronization in network of 1:15-1:40 Stability of Nozaki-Bekki heterogeneous phase oscillators and Holes Near the Nonlinear Schrödinger (ii) synchronization in networks of Limit identical chaotic oscillators. Specific Margaret Beck, Boston University, USA; topics will include analytical methods Toan Nguyen, Pennsylvania State and low-dimensional descriptions of University, USA; Bjorn Sandstede, Brown the dynamics of coupled oscillator University, USA; Kevin Zumbrun, Indiana networks, classification of chimera University, USA states, identification of synchronization 1:45-2:10 Modulational Stability of clusters using network symmetries, Quasiperiodic Solutions to Hamiltonian and control and optimization of PDEs coupled oscillator networks. Jared Bronski, University of Illinois at Urbana-Champaign, USA Organizer: Per Sebastian 2:15-2:40 Computation and Stability Skardal of Patterns in Second Order Evolution Trinity College, USA Equations Wolf-Juergen Beyn, Universität Bielefeld, Organizer: Jie Sun Germany; Denny Otten, Bielefeld Clarkson University, USA University, Germany; Jens Rottmann- Matthes, Karlsruhe Institute of Technology, Organizer: Dane Taylor Germany University of North Carolina at Chapel Hill, USA 2:45-3:10 Application of the Maslov Index to the Stability of Traveling Waves Paul Cornwell, Brown University and University of North Carolina, Chapel Hill, USA; Chris Jones, University of North Carolina, Chapel Hill, USA continued in next column SIAM Conference on Applications of Dynamical Systems 103

Thursday, May 25 Organizer: Igor Mezic Thursday, May 25 MS156 University of California, Santa Barbara, USA MS157 Organizer: Steven Brunton Applications of Koopman Neuronal Modulation, University of Washington, USA Operator Theory in Robustness and 1:15-1:40 Koopman Theory, Dynamical Systems: from Observables and Sparse Regression Homeostasis - Part I of II Traffic through Power Grid to for PDE’s 1:15 PM-3:15 PM Nathan Kutz, University of Washington, USA Molecular Dynamics - Part I Room:Primrose A of II 1:45-2:10 Analysis of Freeway Traffic Using Koopman Operator Methods For Part 2 see MS170 1:15 PM-3:15 PM Allan Avila, University of California, Santa Rhythmic and excitable neuronal behaviors underlie many brain Room:Ballroom 3 Barbara, USA functions and are modulated 2:15-2:40 Koopman Operators For Part 2 see MS169 continually, across disparate scales The Koopman operator approach to for Reduced Order Modeling of Nonlinear Dynamical Systems ranging from receptors and channels dynamical systems has been applied to to entire networks, in response to fluid mechanics and enjoyed success due Karthik Duraisamy, University of Michigan, USA environmental and intrinsic conditions. to its model-reduction capability that In parallel, homeostatic mechanisms 2:45-3:10 Baroreflex Physiology Using captured complex coherent dynamics act to preserve features of neuronal Koopman Mode Analysis better than previous techniques. The activity needed for functionality. Senka Macesic, University of Rijeka, Croatia; approach is experiencing a high degree Understanding the mechanisms of of co-development between theorems, Igor Mezic, University of California, Santa Barbara, USA; Maria Fonoberova, neuronal modulation and robustness is numerical approaches (algorithms) and AIMdyn, Inc., USA; Nelida Crnjaric-Zic, a key frontier in neuroscience to which applications in physics, biology and Rijeka University, Croatia; Zlatko Drmac, recent developments in dynamical engineering. In fact, very interesting University of Zagreb, Croatia; Aleksandr systems are well suited to contribute. questions are arising for researchers Andrejcuk, University of Rijeka, Croatia This minisymposium will address on theory and algorithms side from modeling and mathematical analyses practical applications in diverse relevant to modulation and robustness domains. The initial applications relied of neuronal activity and homeostasis. on the assumption that observables are It will span a wide range of topics, in the span of eigenfunctions. However, from interdisciplinary contributions Koopman operator can have continuous highlighting present experimental spectrum and that is important in challenges to formal mathematical applications like turbulence, power methods relating to dynamics and grid, and traffic described in talks by parameter-dependence of multiscale Duraisamy and Glaz (turbulence), nonlinear systems. Susuki and Chakraborty (power grid), and Avilla (traffic), respectively. Organizer: Alessio Franci Dynamical systems in molecular Universidad Nacional de Mexico, Mexico dynamics contain stochastic effects, Organizer: Jonathan E. Rubin described in talk by Noe and physiology University of Pittsburgh, USA applications contain stochastic inputs and delays, as evidenced in talk by 1:15-1:40 Feedback, Singularities and Singular Perturbations in Robust Macesic. Kutz describes applications Neuromodulation in which the underlying dynamical Alessio Franci, Universidad Nacional de system is a partial differential equation, Mexico, Mexico; Guillaume Drion, and the underlying Koopman operator University of Liege, Belgium; Rodolphe theory is in its infancy. Thus, the two- Sepulchre, University of Cambridge, part minisymposium will contribute United Kingdom to the overall goal of advancing the Koopman operator approach by fostering interaction between theory, numerical algorithms and applications.

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Thursday, May 25 Thursday, May 25 1:15-1:40 Local and Global Optimization of Particle Locations on MS157 the Sphere: Models, Applications, MS158 Mathematical Aspects, and Neuronal Modulation, Stochastic Processes in Computations Robustness and Heterogeneous Environments Alexei F. Cheviakov, University of Homeostasis - Part I of II - Part I of II Saskatchewan, Canada 1:45-2:10 Numerical Computation 1:15 PM-3:15 PM 1:15 PM-3:15 PM of Locally and Globally Energy- continued Room:Primrose B Minimizing Spherical Designs Wesley J. Ridgway, University of For Part 2 see MS171 Saskatchewan, Canada The MS will address the random transport 2:15-2:40 Mean First Passage Time with 1:45-2:10 Folded Saddle Nodes: mechanisms used by biological, social Space-dependent Diffusion Understanding Transitions Between and physical systems to effectively Activity Patterns in a Coupled Neuron communicate and function. Specifically, Theodore Kolokolnikov, Dalhousie University, Canada Model how individual particles or agents Kerry-Lyn Roberts, University of Sydney, navigate complex spatial regions, with 2:45-3:10 Boundary Homogenization Australia heterogeneous distributions of obstacles of a Spherical Target and Berg-Purcell Revisited 2:15-2:40 Dual-Mechanism Firing Rate and barriers, and reliably locate target Homeostasis Stabilizes Multiple Firing sites. The speakers will address 3 main Alan E. Lindsay, University of Notre Dame, USA; Michael Ward, University of British Rate Statistics areas: 1. The role of geometry and Columbia, Canada; Andrew J. Bernoff, Jonathan Cannon, Brandeis University, USA target site heterogeneity in dictating the Harvey Mudd College, USA 2:45-3:10 Model Formulation timescale of critical biological events, and Experimental Challenges in such as immune system recognition. Underactuated Neurocontrol This is a multiscale spatiotemporal Jason Ritt, Massachusetts Institute of PDE problem. Several speakers will Technology, USA; Anirban Nandi, address progress from applying singular Washington University, USA; ShiNung perturbation methodologies to obtain Ching, Washington University in St. Louis, reduced discrete energy systems in which USA heterogeneities can be considered as point singularities. 2. Discrete optimization and boundary homogenization. Several speakers will consider the global optimization problem of finding extremal configurations of target site distributions from reduced discrete energy formulations. Results on the homogenization of these discrete energies in the limit of large number of sources will be discussed. 3. Computational simulation of nanoscale heterogeneities and determination of emergent macroscale properties is challenging and presents difficulties for common discretization methods. Boundary element approaches have recently shown great promise in addressing these problems and several speakers will present recent developments in this direction. Organizer: Alan E. Lindsay University of Notre Dame, USA Organizer: Justin C. Tzou University of British Columbia, Canada

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Thursday, May 25 1:45-2:10 Nonlinear Stochastic Models Thursday, May 25 for Irregular Time Series: Empirical MS159 Model Reduction and Multilayer MS160 Stochastic Models Nonlinear Time Series Data Michael Ghil, Ecole Normale Superieure de Mathematical Physiology Analysis - Part I of II Paris, France, and University of California, and Medicine - Part I of II Los Angeles, USA; Mickael Chekroun, 1:15 PM-3:15 PM Dmitri Kondrashov, and Andreas Groth, 1:15 PM-3:15 PM Room:Maybird University of California, Los Angeles, USA Room:Magpie B For Part 2 see MS172 2:15-2:40 Representing Time Series For Part 2 see MS173 An observable time-ordered data series with Uncertainties and Identification of Nonlinear dynamical system theory encapsulates information about the Abrupt Transitions lies in the core of computational or underlying system from which it is Bedartha Goswami, Potsdam Institute mathematical physiology research. In generated. Nonlinear time series data for Climate Impact Research and Free recent years, there has been a growing University of Berlin, Germany; Aljoscha analysis is concerned with techniques interest in applying dynamical system Rheinwalt, University of Potsdam, to the field of mathematical physiology that allows one to understand the Germany; Niklas Boers, Ecole Normale dynamics of the underlying system from Supérieure, France; Norbert Marwan, and medicine. In this session, we will this information. These techniques are Potsdam Institute for Climate Impact focus on projects that apply mathematical carefully crafted to deal with nonlinear Research, Germany; Jobst Heitzig, modeling to attain a better understanding behavior. In recent years, this area has Potsdam University, Germany; Sebastian of physiological mechanisms; in experienced a tremendous development, Breitenbach, Ruhr-Universitat Bochum, some cases, that understanding is leading to powerful methods that can Germany; Juergen Kurths, Potsdam then leveraged to determine the best be successfully used in all branches Institute for Climate Impact Research, therapeutic approach to combat a given of science and engineering. However, Germany disease. This session will bring together there are important issues that still are 2:45-3:10 Determining the applied mathematician, computational not adequate addressed, requiring a Kolmogorov-Sinai Entropy from scientists, mathematical modelers and more intensive research effort. Among Ordinal Patterns engineers to focus on the modeling and them are the handling of time series Antonio Politi, University of Aberdeen, computations of the dynamics of complex of short length, a proper treatment for United Kingdom biological systems across different nonstationarity, and the determination scales. At the cellular scale, speakers of causality relationships from a set of will discuss modeling results concerning time series. This minisymposium brings the interactions between cell signaling together researchers to present recent and cell mechanism, and modeling progress and developments, as well as cancer cell networks. At the organ scale, to focus on the perspectives of how to speakers will highlight recent advances handle the ongoing challenges of the in modeling physiological conditions area. (including the immune system, blood clotting, and renal blood flow) and in Organizer: Elbert E. Macau modeling pathophysiological conditions Laboratory for Computing and Applied (including peripheral arterial disease, Mathematics and Brazilian Institute for Space tuberculosis, and drug delivery). Research, Brazil Organizer: Ning Wei Organizer: Michael Small Duke University, USA University of Western Australia, Australia 1:15-1:40 From Symbolic Dynamics Organizer: Anita T. Layton to Ordinal Partition Networks: Duke University, USA Constructing Proxies of the Dynamical System from Observed Time Series Michael Small, Michael McCullough, Konstantinos Sakellariou, Thomas Stemler, and David Walker, University of Western Australia, Australia

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Thursday, May 25 Thursday, May 25 Thursday, May 25 MS160 MS161 MS162 Mathematical Physiology Random Walks and Distributed Sensing and and Medicine - Part I of II Anomalous Transport - Prediction of Dynamic and 1:15 PM-3:15 PM Part I of II Uncertain Environments - Part continued 1:15 PM-3:15 PM I of II Room:Wasatch B 1:15 PM-3:15 PM 1:15-1:40 Assessing the Contribution For Part 2 see MS174 Room:Superior B of Distinct Vascular Segments in A significant progress in understanding For Part 2 see MS175 Peripheral Arterial Disease the phenomenon of anomalous transport Improved modeling and prediction Julia Arciero, Indiana University - Purdue has been achieved on the background of fluid dynamics is needed to better University Indianapolis, USA of random walk models. The goal understand ocean and atmospheric 1:45-2:10 Modeling, Analysis, and of the minisymposium is to present transport. Major recent advances in Experiment Design for Syk-Mediated recent advances in this field. The talks coherent structure detection, reduced- Signalling Events in B Cells include the description of models based order models, uncertainty quantification, Reginald Mcgee, The Ohio State University, on different kinds of random walks, data assimilation, optimal path planning, USA; Gregery Buzzard, Purdue University, including the continuous time random and adaptive sampling are providing USA walk, walks in an expanding medium, increased understanding of transport 2:15-2:40 Dynamic Modeling of and Levy walks. The applications spread phenomena.The purpose of this Tuberculosis Granuloma Activation from anomalous diffusion in biological minisymposium is to expose the audience Steven Ruggiero, Minu Pilvankar, and cells and cellular flows to subdiffusion- to recent progress and developments, Ashlee N. Ford Versypt, Oklahoma State reaction processes and laser cooling. as well as to bring together researchers University, USA Organizer: Alexander developing new mathematical methods and applications for use in understanding 2:45-3:10 Multi-scale Model of Breast Nepomnyashchy Cancer Predicts Response to Anti- material transport in geophysical flows. angiogenic Therapies Technion Israel Institute of Technology, Stacey Finley, University of Southern Israel Organizer: Eric Forgoston Montclair State University, USA California, USA Organizer: Vladimir A. Volpert Northwestern University, USA Organizer: Ani Hsieh 1:15-1:40 Subdiffusion with Reactions Drexel University, USA and Forces 1:15-1:40 Quantifying Material Christopher N. Angstmann and Bruce I. Transport in Geophysical Flows Henry, University of New South Wales, Eric Forgoston, Montclair State University, Australia USA; Ani Hsieh, Drexel University, USA; Philip Yecko, Cooper Union, USA 1:45-2:10 Diffusion and Walks in an Expanding Medium 1:45-2:10 Stochastic Parametrization in Wave Breaking and Weathering Santos B. Yuste and Enrique Abad, Processes Universidad de Extremadura, Spain; Carlos Escudero, Universidad Autonoma Juan M. Restrepo, Oregon State University, de Madrid, Spain; Felipe Le Vot, USA; Jorge Ramirez, Universidad Nacional Universidad de Extremadura, Spain de Colombia, Colombia 2:15-2:40 Levy Walks: from Lineland to 2:15-2:40 A Stratified Three Higher Dimensions Dimensional Model for Ocean Flows That Includes Internal Waves Vasily Zaburdaev, Max Planck Institute for Physics of Complex Systems, Germany Henry Chang, Helga S. Huntley, and Denny Kirwan, University of Delaware, USA 2:45-3:10 Slow Subdiffusion-Reaction Equation 2:45-3:10 Geophysical Transport Structure, Reduced Order Modeling, Tadeusz Kosztolowicz, Jan Kochanowski and Connections with Field University, Poland Experiments Shane D. Ross, Virginia Tech, USA SIAM Conference on Applications of Dynamical Systems 107

Thursday, May 25 Thursday, May 25 1:45-2:10 Closed-Loop Feedback Control of Cardiac Alternans in the MS163 MS164 Heart Alena Talkachova and Kanchan Kulcarni, Computational Models of Control of Cardiac University of Minnesota, USA; Sharon Neuronal Connectivity in the Arrhythmias - Part I of II Zlochiver, Tel Aviv University, Israel Brain - Part I of II 1:15 PM-3:15 PM 2:15-2:40 Modeling Framework to Delineate Optimized Drug Action for 1:15 PM-3:15 PM Room:Wasatch A Atrial Spiral Wave Termination Room:Superior A For Part 2 see MS177 Philippe Comtois, Université de Montréal, Cardiac arrhythmias are abnormal Canada For Part 2 see MS176 The structural and functional connectivity heart rhythms underlying complex 2:45-3:10 Adaptive Control of of neurons in the brain play an spatiotemporal electromechanical Chaotic Dynamics in Excitable important role in a variety of cognitive activity. Spiral and scroll waves are Media processes, but the relationship between nonlinear patterns known to exist in Thomas Lilienkamp, Stefan Luther, and Ulrich Parlitz, Max Planck Institute this organization and such cognitive excitable and oscillatory media such as cardiac tissue. Those patterns act as for Dynamics and Self-Organization, processes is still not yet well known. Germany Several approaches can be taken to fast cardiac activation sources that are investigate and better understand how detrimental to health and some that can connectivity and network structure relate lead to death. The control of these rapid to neuronal activity. One such approach and complex nonlinear activities to revert is to develop a realistic neuronal to normal heart electrical activation is network model including several types thus of primary importance. Different of chemical and electrical coupling and suboptimal approaches are used in clinics use the model to determine the effect that are ranging from pharmacological of connectivity on network dynamics. treatment to defibrillation. All of these Another approach is to use reconstruction approaches are with severe limitations methods on experimental data to extract and further development are needed potential structural connectivity and to increase their success rates. This their functional roles. This two-part minisymposium provides a sampling minisymposium will include talks that of the current work in the control of address both of these approaches for arrhythmias based on new mathematical understanding network connectivity in modeling and experimental research. several areas of the brain. Organizer: Philippe Comtois Organizer: Pamela B. Pyzza Université de Montréal, Canada Ohio Wesleyan University, USA Organizer: Stefan Luther Organizer: Jennifer Crodelle Max Planck Institute for Dynamics and Self- Organization, Germany Rensselaer Polytechnic Institute, USA 1:15-1:40 Alternans in Action Potential 1:15-1:40 Individual and Population Amplitude and Not in Duration As a Models of Insect Olfaction Mechanism for Conduction Block and Pamela B. Pyzza, Ohio Wesleyan University, the Initiation of Fibrillation USA; Gregor Kovacic, Rensselaer Diandian Diana Chen and Flavio H. Fenton, Polytechnic Institute, USA; David Cai, Georgia Institute of Technology, USA Shanghai Jiao Tong University, China and Courant Institute of Mathematical Sciences, New York University, USA 1:45-2:10 High Dimensional Two- sample Test on Neuronal Data Zhiqin J. Xu, New York University, USA 2:15-2:40 Dynamics Underlying the Orientation Selectivity in Mouse V1 Wei Dai, Shanghai Jiaotong University, China 2:45-3:10 Oscillations in a Parkinsonian Network Michael Caiola, Emory University, USA continued in next column 108 SIAM Conference on Applications of Dynamical Systems

Thursday, May 25 Thursday, May 25 1:15-1:40 Morse Theory and Stability of Relative Equilibria in the Planar MS165 MS166 N-Vortex Problem Gareth E. Roberts, College of the Holy Cross, Connecting Dynamic Algebraic and Topological USA Models to Data: Estimation, Approaches to the N-Body 1:45-2:10 Existence, Stability, and Uncertainty, Related and N-Vortex Problems - Part Symmetry of Relative Equilibria with a Statistical Methods - I of II Dominant Vortex Part I of II Alanna Hoyer-Leitzel, Mount Holyoke 1:15 PM-3:15 PM College, USA 1:15 PM-3:15 PM Room:White Pine 2:15-2:40 Remarks on the Central Room:Magpie A For Part 2 see MS179 Configurations of Four Bodies Manuele Santoprete, Wilfrid Laurier For Part 2 see MS178 This minisymposium will explore current University, Canada The need to model biological data is research in celestial mechanics and the fueling the development of powerful new N-vortex problem with a particular focus 2:45-3:10 Central Configurations of mathematical and statistical tools and on algebraic and topological methods. the N-Body Problem with Generalized techniques for using dynamic models as While the study of the N-body problem Potentials statistical models. This minisymposium has resulted in significant applications Marshall Hampton, University of Minnesota, Duluth, USA will highlight recent methodological to astronomy and spacecraft navigation, advances from the interface of it has also been a fruitful setting for the mathematics, statistics, and the natural development of new ideas in dynamical sciences. These advances include: systems. The related N-vortex problem Coffee Break is a widely used model for providing identifiability and uncertainty analysis, 3:15 PM-3:45 PM functional data analysis, and extensions finite-dimensional approximations to of traditional statistical frameworks vorticity evolution in fluid dynamics. Room:Golden Cliff (e.g. mixed effects models) for dynamic Some of the most important solutions models. Talks will also examine how to either problem are periodic in nature. uncertainty can affect model predictions, Among this class of solutions, analyzing dynamics, and inference of key the structure and stability of simple, quantities (e.g. important mechanisms rigidly rotating orbits known as relative or fundamental quantities like the basic equilibria (or central configurations) reproduction number for a disease). leads to a greater understanding of the complexities in the full problem. Organizer: Ariel Cintron-Arias Recently, ideas from computational East Tennessee State University, USA algebraic geometry (e.g., Groebner Organizer: Marisa Eisenberg bases and BKK Theory), as well as University of Michigan, USA topology (e.g., the Morse index), have been successfully applied to the study Organizer: Paul J. Hurtado of relative equilibria, helping answer University of Nevada, Reno, USA questions on the finiteness, existence, 1:15-1:40 Identifiability and Parameter and stability of these special solutions. Estimation in Modeling Biological Topological arguments have also been Dynamics used to prove the existence of other Marisa Eisenberg, University of Michigan, types of periodic orbits, such as solutions USA with simultaneous binary collisions. 1:45-2:10 Goodness of Fit in Differential Many of these ideas generalize to other Equation Models: Misspecified Rates mechanical systems with power-law Or Misspecified States? potential functions. This session brings Giles Hooker, Cornell University, USA together new and established researchers 2:15-2:40 Structural and Practical to discuss these and other related topics. Identifiability of Stochastic, Mechanistic Cancer Models Organizer: Gareth E. Roberts Andrew Brouwer, University of Michigan, College of the Holy Cross, USA USA 2:45-3:10 Identifiability of Linear Compartmental Models continued in next column Nicolette Meshkat, North Carolina State University, USA SIAM Conference on Applications of Dynamical Systems 109

Thursday, May 25 Thursday, May 25 3:45-4:10 Using Symmetries and Equitable Partitions Together to Find MS167 MS168 All Synchronization Clusters and Their Stability Recent Advances in the Advances in Network Louis M. Pecora, Naval Research Laboratory, Stability of Travelling Waves Synchronization - Part II of II USA; Francesco Sorrentino, University of - Part II of II New Mexico, USA; Aaron M. Hagerstrom, 3:45 PM-5:45 PM University of Maryland, USA; Rajarshi 3:45 PM-5:45 PM Room:Ballroom 2 Roy and Thomas E. Murphy, University of Maryland, College Park, USA Room:Ballroom 1 For Part 1 see MS155 For Part 1 see MS154 Synchronization of network-coupled 4:15-4:40 Controlling Synchronous Nonlinear interactions in a wide variety dynamical systems has become a bedrock Patterns in Complex Network of Coupled Chaotic Oscillators of models can result in the propagation area of research in both the nonlinear dynamics and complex networks Xingang Wang, National University of of fronts, pulses, wavetrains and other Singapore, Singapore more complicated patterns. The speakers communities, with applications ranging in this minisymposium will highlight from improving signaling between 4:45-5:10 Synchronization in Networks new advances in the study of stability reproductive cycles of cells to stabilizing with Multiple Interaction Layers Jesus Gomez-Gardenes, Universidad de and dynamical properties of travelling the dynamics of large-scale power grids. Zaragoza, Spain; Charo I. del Genio, waves in nonlinear partial differential In this minisymposium we will bring together experts in the field to report on University of Warwick, United Kingdom; equations. Stefano Boccaletti, CNR, Italy; Ivan the recent advances in the theoretical Bonamssa, Bar-Ilan University, Israel Organizer: Robert Marangell aspects of network synchronization, as The University of Sydney, Australia well as discuss the practical applications 5:15-5:40 Chimera States in Continuous Media Organizer: Peter van Heijster of this new theory in real-world scenarios. The minisymposium will Zachary G. Nicolaou, Hermann Riecke, Queensland University of Technology, and Adilson E. Motter, Northwestern be organized into two parts, roughly Australia University, USA corresponding to (i) synchronization Organizer: Matt Holzer in network of heterogeneous phase George Mason University, USA oscillators and (ii) synchronization 3:45-4:10 Coherent Structures in Run- in networks of identical chaotic and-Tumble Processes oscillators. Specific topics will include Arnd Scheel, University of Minnesota, analytical methods and low-dimensional Minneapolis, USA descriptions of the dynamics of coupled 4:15-4:40 Stability of Fronts in a oscillator networks, classification Diffusive Model for Porous Media of chimera states, identification of Combustion synchronization clusters using network Anna Ghazaryan, Miami University, symmetries, and control and optimization USA; Stephane Lafortune, College of of coupled oscillator networks. Charleston, USA; Peter McLarnan, Miami University, USA Organizer: Per Sebastian 4:45-5:10 Determining the Critical Skardal Spectrum About the Origin Using Lin’s Trinity College, USA Method Björn De Rijk, Universität Stuttgart, Organizer: Jie Sun Germany Clarkson University, USA 5:15-5:40 Absolute Instabilities of Organizer: Dane Taylor Travelling Waves Solutions in a Keller- University of North Carolina at Chapel Hill, Segel Model USA Paige Davis, Queensland University of Technology, Australia

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Thursday, May 25 Organizer: Igor Mezic Thursday, May 25 MS169 University of California, Santa Barbara, USA MS170 Organizer: Steven Brunton Applications of Koopman University of Washington, USA Neuronal Modulation, Operator Theory in 3:45-4:10 Assessment of Voltage Robustness and Homeostasis Dynamical Systems: from Collapse Phenomena in Power Grids - Part II of II Traffic through Power Grid to Based on Continuous Spectrum of the Koopman Operator 3:45 PM-5:45 PM Molecular Dynamics - Part II Yoshihiko Susuki, Osaka Prefecture Room:Primrose A of II University, Japan; Kyoichi Sako and For Part 1 see MS157 3:45 PM-5:45 PM Fredrik Raak, Kyoto University, Japan; Rhythmic and excitable neuronal Takashi Hikihara, Kyoto University, Japan behaviors underlie many brain functions Room:Ballroom 3 4:15-4:40 Koopman Operator Theory, and are modulated continually, across For Part 1 see MS156 Memory Effects, and Fractional Order disparate scales ranging from receptors The Koopman operator approach to Dynamical Systems and channels to entire networks, in dynamical systems has been applied to Adam Svenkeson and Bryan Glaz, Army response to environmental and intrinsic Research Laboratory, USA fluid mechanics and enjoyed success due conditions. In parallel, homeostatic to its model-reduction capability that 4:45-5:10 A Data-Driven Distributed mechanisms act to preserve features of captured complex coherent dynamics Algorithm for Nonlinear Mode neuronal activity needed for functionality. better than previous techniques. The Estimation in Power Systems Understanding the mechanisms of approach is experiencing a high degree Aranya Chakrabortty, North Carolina State neuronal modulation and robustness is University, USA; Yoshihiko Susuki, Osaka of co-development between theorems, a key frontier in neuroscience to which Prefecture University, Japan numerical approaches (algorithms) and recent developments in dynamical applications in physics, biology and 5:15-5:40 Finding Slow Modes and systems are well suited to contribute. engineering. In fact, very interesting Accessing Very Long Timescales in This minisymposium will address Molecular Dynamics questions are arising for researchers modeling and mathematical analyses Frank Noe, Freie Universität Berlin, Germany on theory and algorithms side from relevant to modulation and robustness practical applications in diverse domains. of neuronal activity and homeostasis. The initial applications relied on the It will span a wide range of topics, assumption that observables are in from interdisciplinary contributions the span of eigenfunctions. However, highlighting present experimental Koopman operator can have continuous challenges to formal mathematical spectrum and that is important in methods relating to dynamics and applications like turbulence, power parameter-dependence of multiscale grid, and traffic described in talks by nonlinear systems. Duraisamy and Glaz (turbulence), Susuki and Chakraborty (power grid), and Organizer: Alessio Franci Avilla (traffic), respectively. Dynamical Universidad Nacional de Mexico, Mexico systems in molecular dynamics contain Organizer: Jonathan E. Rubin stochastic effects, described in talk University of Pittsburgh, USA by Noe and physiology applications contain stochastic inputs and delays, 3:45-4:10 Chaos, Spike-Adding, and Mixed-Mode Oscillations in a as evidenced in talk by Macesic. Nonlinear Neuronal Model with Resets Kutz describes applications in which Jonathan E. Rubin, University of Pittsburgh, the underlying dynamical system is USA; Justyna Signerska-Rynkowska, a partial differential equation, and Gdansk University of Technology, Poland; the underlying Koopman operator Jonathan D. Touboul, Collège de France, theory is in its infancy. Thus, the two- France; Alexandre Vidal, University of part minisymposium will contribute Evry-Val-d’Essonne, France to the overall goal of advancing the Koopman operator approach by fostering interaction between theory, numerical algorithms and applications.

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Thursday, May 25 Thursday, May 25 Organizer: Alan E. Lindsay University of Notre Dame, USA MS170 MS171 Organizer: Justin C. Tzou Neuronal Modulation, Stochastic Processes in University of British Columbia, Canada Robustness and Homeostasis Heterogeneous Environments 3:45-4:10 Kinetic Monte Carlo Methods - Part II of II - Part II of II for Computing First Capture Time Distributions in Models of Diffusive 3:45 PM-5:45 PM 3:45 PM-5:45 PM Absorption continued Room:Primrose B Daniel Schmidt and Andrew J. Bernoff, Harvey Mudd College, USA; Alan E. For Part 1 see MS158 4:15-4:40 A Singulartity Theory Lindsay, University of Notre Dame, USA Approach to Homeostasis The MS will address the random transport 4:15-4:40 Effects of Cell Geometry on Martin Golubitsky, The Ohio State University, mechanisms used by biological, social Reversible Vesicular Transport USA; Ian Stewart, University of Warwick, and physical systems to effectively Bhargav R. Karamched, University of Utah, United Kingdom communicate and function. Specifically, USA 4:45-5:10 Phase-Locking in a Neuronal how individual particles or agents 4:45-5:10 First-Passage Time to Clear Networks with Synaptic Depression navigate complex spatial regions, with the Way for Receptor-Ligand Binding Zeynep Akcay, Queensborough Community heterogeneous distributions of obstacles in a Crowded Environment College, USA; Xinxian Huang, Farzan and barriers, and reliably locate target Nadim, and Amitabha Bose, New Jersey sites. The speakers will address 3 main Jay Newby, University of North Carolina at Institute of Technology, USA areas: 1. The role of geometry and Chapel Hill, USA 5:15-5:40 Temperature Sensitivity of PO/ target site heterogeneity in dictating the 5:15-5:40 Metastable States for an AH Neurons timescale of critical biological events, Aggregation Model with Noise Martin Wechselberger, University of Sydney, such as immune system recognition. Joep Evers and Theodore Kolokolnikov, Australia; Timothy Roberts, University of This is a multiscale spatiotemporal Dalhousie University, Canada Sydney, Australia PDE problem. Several speakers will address progress from applying singular perturbation methodologies to obtain reduced discrete energy systems in which heterogeneities can be considered as point singularities. 2. Discrete optimization and boundary homogenization. Several speakers will consider the global optimization problem of finding extremal configurations of target site distributions from reduced discrete energy formulations. Results on the homogenization of these discrete energies in the limit of large number of sources will be discussed. 3. Computational simulation of nanoscale heterogeneities and determination of emergent macroscale properties is challenging and presents difficulties for common discretization methods. Boundary element approaches have recently shown great promise in addressing these problems and several speakers will present recent developments in this direction.

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Thursday, May 25 Thursday, May 25 3:45-4:10 A Computational Model of Hemostasis MS172 MS173 Nicholas Danes and Karin Leiderman, Colorado School of Mines, USA Nonlinear Time Series Data Mathematical Physiology 4:15-4:40 Drug Delivery to the Brain: Analysis - Part II of II and Medicine - Part II of II Mathematical Challenges in Breaking 3:45 PM-5:15 PM 3:45 PM-5:45 PM the Blood-Brain Barrier Ami Radunskaya, Pomona College, USA Room:Maybird Room:Magpie B 4:45-5:10 Bifurcation Analysis of For Part 1 see MS159 For Part 1 see MS160 Calcium Oscillations in the Afferent An observable time-ordered data series Nonlinear dynamical system theory Arteriole Model of Smooth Muscle Cells encapsulates information about the lies in the core of computational or Ning Wei and Anita T. Layton, Duke underlying system from which it is mathematical physiology research. In University, USA generated. Nonlinear time series data recent years, there has been a growing 5:15-5:40 Modelling the Interplay analysis is concerned with techniques interest in applying dynamical system Between Cell Signalling and Cell that allows one to understand the to the field of mathematical physiology Mechanics dynamics of the underlying system from and medicine. In this session, we will Cole Zmurchok, University of British this information. These techniques are focus on projects that apply mathematical Columbia, Canada carefully crafted to deal with nonlinear modeling to attain a better understanding behavior. In recent years, this area has of physiological mechanisms; in experienced a tremendous development, some cases, that understanding is leading to powerful methods that can then leveraged to determine the best be successfully used in all branches therapeutic approach to combat a given of science and engineering. However, disease. This session will bring together there are important issues that still are applied mathematician, computational not adequate addressed, requiring a scientists, mathematical modelers and more intensive research effort. Among engineers to focus on the modeling and them are the handling of time series computations of the dynamics of complex of short length, a proper treatment for biological systems across different nonstationarity, and the determination scales. At the cellular scale, speakers of causality relationships from a set of will discuss modeling results concerning time series. This minisymposium brings the interactions between cell signaling together researchers to present recent and cell mechanism, and modeling progress and developments, as well as cancer cell networks. At the organ scale, to focus on the perspectives of how to speakers will highlight recent advances handle the ongoing challenges of the in modeling physiological conditions area. (including the immune system, blood clotting, and renal blood flow) and in Organizer: Elbert E. Macau modeling pathophysiological conditions Laboratory for Computing and Applied (including peripheral arterial disease, Mathematics and Brazilian Institute for Space tuberculosis, and drug delivery). Research, Brazil Organizer: Ning Wei Organizer: Michael Small Duke University, USA University of Western Australia, Australia 3:45-4:10 Recurrency Density Organizer: Anita T. Layton Enchanced Approach for Time Series Duke University, USA Analysis Elbert E. Macau, Laboratory for Computing and Applied Mathematics and Brazilian Institute for Space Research, Brazil 4:15-4:40 Using Recurrences to Detect Non Stationary Behavior of Time Series Sergio R. Lopes, Federal University of Paraná, Brazil 4:45-5:10 Network Inference Meets Nonlinear Time Series: Challenges and continued in next column Solutions Bjoern Schelter and Marco Thiel, University of Aberdeen, United Kingdom SIAM Conference on Applications of Dynamical Systems 113

Thursday, May 25 Thursday, May 25 Thursday, May 25 MS174 MS175 MS176 Random Walks and Distributed Sensing and Computational Models of Anomalous Transport - Prediction of Dynamic and Neuronal Connectivity in Part II of II Uncertain Environments - the Brain - Part II of II 3:45 PM-5:15 PM Part II of II 3:45 PM-5:45 PM Room:Wasatch B 3:45 PM-5:45 PM Room:Superior A For Part 1 see MS161 Room:Superior B For Part 1 see MS163 A significant progress in understanding For Part 1 see MS162 The structural and functional connectivity the phenomenon of anomalous transport Improved modeling and prediction of neurons in the brain play an important has been achieved on the background of fluid dynamics is needed to better role in a variety of cognitive processes, of random walk models. The goal understand ocean and atmospheric but the relationship between this of the minisymposium is to present transport. Major recent advances in organization and such cognitive processes recent advances in this field. The talks coherent structure detection, reduced- is still not yet well known. Several include the description of models based order models, uncertainty quantification, approaches can be taken to investigate on different kinds of random walks, data assimilation, optimal path planning, and better understand how connectivity including the continuous time random and adaptive sampling are providing and network structure relate to neuronal walk, walks in an expanding medium, increased understanding of transport activity. One such approach is to develop and Levy walks. The applications spread phenomena.The purpose of this a realistic neuronal network model from anomalous diffusion in biological minisymposium is to expose the audience including several types of chemical and cells and cellular flows to subdiffusion- to recent progress and developments, electrical coupling and use the model to reaction processes and laser cooling. as well as to bring together researchers determine the effect of connectivity on network dynamics. Another approach Organizer: Alexander developing new mathematical methods and applications for use in understanding is to use reconstruction methods on Nepomnyashchy material transport in geophysical flows. experimental data to extract potential Technion Israel Institute of Technology, Israel structural connectivity and their functional Organizer: Eric Forgoston roles. This two-part minisymposium will Organizer: Vladimir A. Volpert Montclair State University, USA include talks that address both of these Northwestern University, USA Organizer: Ani Hsieh approaches for understanding network 3:45-4:10 Anomalous Diffusion in connectivity in several areas of the brain. Membranes and Cytoplasm of Drexel University, USA Biological Cells 3:45-4:10 Optimizing Vehicle Organizer: Pamela B. Pyzza Ralf Metzler, Universität Potsdam, Germany Autonomy in Geophysical Flows Ohio Wesleyan University, USA Ani Hsieh, Drexel University, USA; 4:15-4:40 A Fractional Kinetic Process Organizer: Jennifer Crodelle Describing the Intermediate Time Shibabrat Naik, Virginia Tech, USA; Rensselaer Polytechnic Institute, USA Behaviour of Cellular Flows Dhanushka Kularatne, Drexel University, Martin Hairer, University of Warwick, USA; Subhrajit Bhattacharya, Lehigh 3:45-4:10 Mathematical Model of United Kingdom; Gautam Iyer, Carnegie University, USA; Eric Forgoston, Montclair a Network Containing Electrotonic Mellon University, USA; Leonid Koralov, State University, USA Junctions Between Excitatory Neurons in the Adult Cortex Princeton University, USA; Alexei Novikov, 4:15-4:40 Active Matter in Time- Pennsylvania State University, USA; Zsolt Periodic Flows: Swimming with Jennifer Crodelle and Gregor Kovacic, Pajor-Gyulai, New York University, USA Gradients Rensselaer Polytechnic Institute, USA; David Cai, Courant Institute 4:45-5:10 Anomalous Dispersion of Paulo E. Arratia, University of Pennsylvania, USA of Mathematical Sciences, New York Particles in Steady Two-dimensional University, USA Flows 4:45-5:10 Adaptive Learning and Michael Zaks, Humboldt State University, Prediction of Motion of Controlled Germany; Alexander Nepomnyashchy, Lagrangian Particles Technion Israel Institute of Technology, Fumin Zhang and Sungjin Cho, Georgia Israel Institute of Technology, USA 5:15-5:40 Lagrangian Stochastic Prediction and Data Assimilation Pierre F. Lermusiaux, Chinmay S. Kulkarni, Florian Feppon, and Arkopal Dutt, Massachusetts Institute of Technology, continued on next page USA 114 SIAM Conference on Applications of Dynamical Systems

Thursday, May 25 Thursday, May 25 4:15-4:40 Wave Control by Cooperative Excitation of Cardiac MS176 MS177 Tissue Thomas Niedermayer and Pavel Buran, Computational Models of Control of Cardiac Physikalisch-Technische Bundesanstalt, Neuronal Connectivity in Arrhythmias - Part II of II Germany; Sergio Alonso, UPC, Spain; the Brain - Part II of II Markus Baer, Physikalisch-Technische 3:45 PM-5:45 PM Bundesanstalt, Germany 3:45 PM-5:45 PM Room:Wasatch A 4:45-5:10 Controlling the Dynamics For Part 1 see MS164 of Cardiac Tissue During Ventricular continued Cardiac arrhythmias are abnormal Fibrillation heart rhythms underlying complex Henrik tom Woerden, Max Planck Institute for Dynamics and Self-Organization, Germany 4:15-4:40 Emergence of a Balanced spatiotemporal electromechanical activity. Core Through Dynamical Spiral and scroll waves are nonlinear 5:15-5:40 Modeling and Estimation of Computation in Inhomogeneous patterns known to exist in excitable Dynamical Variables in a Cardiac Cell Neuronal Networks and oscillatory media such as cardiac Model Qinglong Gu, Shanghai Jiaotong University, tissue. Those patterns act as fast cardiac Laura Munoz, Claire Charron, and Kalyan China activation sources that are detrimental to Pusarla, Rochester Institute of Technology, USA 4:45-5:10 Spike Triggered Regression health and some that can lead to death. on Neuronal Network Reconstruction The control of these rapid and complex Yaoyu Zhang, Courant Institute New York nonlinear activities to revert to normal University, USA and New York University heart electrical activation is thus of Abu Dhabi, United Arab Emirates primary importance. Different suboptimal 5:15-5:40 Neuronal Network approaches are used in clinics that are Reconstruction by Transfer Entropy ranging from pharmacological treatment Zhongqi Tian, Shanghai Jiao Tong to defibrillation. All of these approaches University, China are with severe limitations and further development are needed to increase their success rates. This minisymposium provides a sampling of the current work in the control of arrhythmias based on new mathematical modeling and experimental research. Organizer: Philippe Comtois Université de Montréal, Canada Organizer: Stefan Luther Max Planck Institute for Dynamics and Self- Organization, Germany 3:45-4:10 New Insights into the Termination of Unpinned Spiral Waves Using Low-Energy Electric Field Pulses Niels Otani, Rochester Institute of Technology, USA; Valentin Krinski, Max Planck Institute for Dynamics and Self- Organization, Germany; Shuyue Han and Kayleigh Wheeler, Rochester Institute of Technology, USA; Stefan Luther, Max Planck Institute for Dynamics and Self- Organization, Germany

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Thursday, May 25 Thursday, May 25 3:45-4:10 High Energy Scattering: Orbit Structure MS178 MS179 Richard Montgomery, University of California, Santa Cruz, USA Connecting Dynamic Algebraic and Topological Models to Data: Estimation, 4:15-4:40 Remarks on the N-Body Approaches to the N-Body Dynamics on Surfaces of Revolution Uncertainty, Related and N-Vortex Problems - Cristina Stoica, Wilfrid Laurier University, Statistical Methods - Part II of II Canada Part II of II 3:45 PM-5:45 PM 4:45-5:10 Towards a Restricted N-Body 3:45 PM-5:45 PM Stability Result Room:White Pine Skyler Simmons, Southern Utah University, Room:Magpie A For Part 1 see MS166 USA For Part 1 see MS165 This minisymposium will explore 5:15-5:40 Topological Existence The need to model biological data is current research in celestial mechanics of Periodic Orbits in a Two-Center fueling the development of powerful and the N-vortex problem with a Symmetric Pair Problem new mathematical and statistical tools particular focus on algebraic and Lennard F. Bakker and Mitchell Sailsbery, and techniques for using dynamic topological methods. While the Brigham Young University, USA models as statistical models. This study of the N-body problem has minisymposium will highlight recent resulted in significant applications to methodological advances from the astronomy and spacecraft navigation, Intermission interface of mathematics, statistics, and the it has also been a fruitful setting natural sciences. These advances include: for the development of new ideas 5:45 PM-6:00 PM identifiability and uncertainty analysis, in dynamical systems. The related functional data analysis, and extensions N-vortex problem is a widely used of traditional statistical frameworks (e.g. model for providing finite-dimensional Closing Remarks mixed effects models) for dynamic models. approximations to vorticity evolution Talks will also examine how uncertainty in fluid dynamics. Some of the most and Red Sock Award can affect model predictions, dynamics, important solutions to either problem Announcements and inference of key quantities (e.g. are periodic in nature. Among this 6:00 PM-6:15 PM important mechanisms or fundamental class of solutions, analyzing the quantities like the basic reproduction structure and stability of simple, Room:Ballroom number for a disease). rigidly rotating orbits known as relative equilibria (or central configurations) Organizer: Ariel Cintron-Arias leads to a greater understanding of East Tennessee State University, USA the complexities in the full problem. Organizer: Marisa Eisenberg Recently, ideas from computational University of Michigan, USA algebraic geometry (e.g., Groebner bases and BKK Theory), as well as Organizer: Paul J. Hurtado topology (e.g., the Morse index), University of Nevada, Reno, USA have been successfully applied to the 3:45-4:10 Modeling Differential study of relative equilibria, helping Transmission Characteristics of Whitefly- answer questions on the finiteness, Transmitted Cassava Viruses existence, and stability of these special Ariel Cintron-Arias, East Tennessee State solutions. Topological arguments have University, USA also been used to prove the existence 4:15-4:40 Using a Mathematical Model of other types of periodic orbits, and Likelihood Methods to Assess such as solutions with simultaneous Contagion in Mass Killings and School binary collisions. Many of these ideas Shootings generalize to other mechanical systems Sherry Towers, Arizona State University, USA with power-law potential functions. 4:45-5:10 Comparative Estimation This session brings together new and of Parameters for Dengue and established researchers to discuss these Chikungunya in Costa Rica from Weekly and other related topics. Reported Data Fabio Sanchez, University of Costa Rica, Costa Organizer: Gareth E. Roberts Rica College of the Holy Cross, USA 5:15-5:40 Extra High-Dimensional Linear ODE Model Selection and Parameter continued in next column Estimation: A Matrix-Based Approach Hulin Wu, University of Texas, Houston, USA 116 SIAM Conference on Applications of Dynamical Systems

Thursday, May 25 IP7 Interactions, Deformations and Bifurcations of Singular Patterns 6:15 PM-7:00 PM Room:Ballroom Chair: Chris K.R.T. Jones, University of North Carolina, Chapel Hill, USA Singular patterns appear in multiscale systems. These systems exhibit the rich behavior of general systems, their singular nature provides a structure by which this may be understood. Moreover, many natural phenomena are modeled by such systems. I will discuss the strong cross-fertilization between applications and the development of mathematical theory. Unravelling the nature of patterns exhibited by specific chemical or ecological models goes hand in hand with uncovering novel generic destabilization mechanisms as the ‘Hopf dance’. Understanding realistic patterns requires analytical descriptions of deformations, bifurcations and annihilation of interacting localized structures -- from an ecological point of view preferably under varying (climatological) circumstances. Through this, mathematics may explain why desertification sometimes is a sudden catastrophic event, while it is a gradual process in other situations. Arjen Doelman Leiden University, Netherlands SIAM Conference on Applications of Dynamical Systems 117

DS17 Abstracts

2017

21-25, 7

Abstracts are printed as submitted by the authors. 118 SIAM Conference on Applications of Dynamical Systems SIAM Conference on Applications of Dynamical Systems 331

Or­ganizer and Speaker Index

2017

21-25, 7 332 SIAM Conference on Applications of Dynamical Systems

A Assaf, Michael, MS16, 1:15 Sun Bates, Peter W., MS29, 5:15 Sun Abaid, Nicole, MS76, 3:45 Mon Aucoin, Alexa, PP2, 8:30 Wed Bauver, Martha, PP1, 8:30 Tue Abaid, Nicole, MS135, 3:45 Wed Auroux, Didier, MS39, 9:00 Mon Bayat-Mokhtari, Elham, PP1, 8:30 Tue Abel, Markus W, CP1, 2:55 Tue Avedisov, Sergei S., MS31, 3:45 Sun Bazhenov, Maxim, MS14, 2:45 Sun Abramov, Rafail, MS74, 3:45 Mon Avedisov, Sergei S., MS31, 3:45 Sun Belykh, Igor, MS84, 8:30 Tue Abramov, Rafail, MS74, 4:45 Mon Avila, Allan, MS156, 1:45 Thu Belykh, Igor, MS84, 8:30 Tue Abrams, Daniel M., MS155, 2:15 Thu Avitabile, Daniele, MS68, 3:45 Mon Berdahl, Andrew, MS135, 4:45 Wed Addabbo, Raymond, PP1, 8:30 Tue Avitabile, Daniele, MS81, 8:30 Tue Berenyi, Antal, MS127, 2:45 Wed Adler, Fred, MS115, 9:30 Wed Avitabile, Daniele, MS81, 9:00 Tue Bernoff, Andrew J., MS114, 9:00 Wed Aghighi, Alireza, MS33, 5:15 Sun Ayala, Diego, MS60, 1:15 Mon Beron-Vera, Francisco J., MS128, 5:15 Wed Aguirre, Pablo, CP10, 1:15 Wed B Berry, Tyrus, MS124, 1:15 Wed Ahn, Sungwoo, PP2, 8:30 Wed Baek, Somyi, MS123, 1:45 Wed Berry, Tyrus, MS140, 3:45 Wed Alacam, Deniz, PP2, 8:30 Wed Bagheri, Neda, MS136, 4:15 Wed Bertram, Richard, MS46, 9:00 Mon Albers, David J., MS152, 8:30 Thu Bagrow, James, MS135, 4:15 Wed Best, Janet, MS125, 1:15 Wed Albers, David J., MS152, 8:30 Thu Bahar, Sonya, MS34, 3:45 Sun Beyn, Wolf-Juergen, MS103, 3:45 Tue Alderisio, Francesco, MS87, 8:30 Tue Bakker, Berry, PP2, 8:30 Wed Bianco, Simone, CP5, 1:15 Tue Alderisio, Francesco, MS87, 8:30 Tue Bakker, Lennard F., MS179, 5:15 Thu Bick, Christian, MS62, 1:45 Mon Alla, Alessandro, MS92, 2:15 Tue Balachandran, Balakumar, MS9, 8:15 Sun Bick, Christian, MS73, 3:45 Mon Allshouse, Michael, CP4, 1:55 Tue Balasuriya, Sanjeeva, MS94, 1:15 Tue Bick, Christian, MS86, 8:30 Tue Almendral, Juan A., MS75, 3:45 Mon Balasuriya, Sanjeeva, MS100, 3:45 Tue Biktashev, Vadim N., MS33, 4:15 Sun Almendral, Juan A., CP1, 1:15 Tue Balasuriya, Sanjeeva, MS100, 3:45 Tue Biktashev, Vadim N., MS108, 3:45 Tue Almomani, Abd Alrahman R., CP13, 1:15 Banerjee, Soumitro, CP11, 1:15 Wed Wed Biktasheva, Irina, MS33, 3:45 Sun Banisch, Ralf, CP4, 2:35 Tue Al-Mudhafar, Watheq J., CP4, 2:15 Tue Biktasheva, Irina, MS83, 9:30 Tue Bansal, Shweta, MS69, 4:45 Mon Aluie, Hussein, MS67, 4:45 Mon Billings, Lora, MS52, 1:15 Mon Baranyai, Tamás, PP2, 8:30 Wed Ameli, Siavash, PP2, 8:30 Wed Billings, Lora, MS65, 3:45 Mon Barber, Jim, PP2, 8:30 Wed Anderson, Kurt, MS48, 9:00 Mon Billings, Lora, MS65, 5:15 Mon Barker, Blake, MS116, 8:30 Wed Angelova, Maia, MS131, 5:15 Wed Bingham, Adrienna, PP1, 8:30 Tue Barnett, William H., PP2, 8:30 Wed Arbabi, Hassan, MS20, 2:15 Sun Bittihn, Philip, MS35, 3:45 Sun Barranca, Victor, MS27, 3:45 Sun Arciero, Julia, MS160, 1:15 Thu Bittihn, Philip, MS35, 3:45 Sun Barranca, Victor, MS40, 8:30 Mon Arenson, Joshua, PP2, 8:30 Wed Bittracher, Andreas, MS138, 3:45 Wed Barranca, Victor, MS40, 10:00 Mon Arino, Julien, MS10, 9:45 Sun Bittracher, Andreas, MS138, 5:15 Wed Barreto, Ernest, MS134, 3:45 Wed Armstrong, Eve, MS144, 9:30 Thu Bittracher, Andreas, MS151, 8:30 Thu Barrio, Roberto, CP6, 1:35 Tue Arratia, Paulo E., MS175, 4:15 Thu Blackmore, Denis, MS36, 3:45 Sun Barry, Anna M., MS80, 8:30 Tue Asgari-Targhi, Ameneh, PP2, 8:30 Wed Blackmore, Denis, MS49, 8:30 Mon Barry, Anna M., MS93, 1:15 Tue Ashikaga, Hiroshi, CP3, 1:15 Tue Blackmore, Denis, MS49, 8:30 Mon Basodi, Sunitha, PP1, 8:30 Tue Asif, Naseer Ahmad, CP14, 1:15 Wed Blaha, Karen, MS122, 1:45 Wed Bassett, Danielle S., MS127, 1:15 Wed Assaf, Michael, MS16, 1:15 Sun Blanchard, Antoine, MS50, 9:30 Mon Bastiaansen, Robbin, MS44, 9:30 Mon Bloch, Anthony M., MS89, 8:30 Tue Blömker, Dirk, MS29, 3:45 Sun

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 333

Blömker, Dirk, MS29, 3:45 Sun Brunton, Steven, MS107, 4:45 Tue Chen, Bolun, PP2, 8:30 Wed Blyuss, Konstantin, MS48, 8:30 Mon Brunton, Steven, MS156, 1:15 Thu Chen, Diandian Diana, MS164, 1:15 Thu Blyuss, Konstantin, MS131, 3:45 Wed Brunton, Steven, MS169, 3:45 Thu Chen, Nan, MS97, 5:15 Tue Boccaletti, Stefano, MS75, 3:45 Mon Budanur, Nazmi Burak, CP9, 1:15 Wed Chen, Yuxin, MS80, 10:00 Tue Boccaletti, Stefano, MS75, 5:15 Mon Budisic, Marko, MS94, 1:15 Tue Cherry, Elizabeth M., MS83, 8:30 Tue Boccia, Edda, CP5, 1:35 Tue Budisic, Marko, MS94, 1:15 Tue Cherry, Elizabeth M., MS83, 8:30 Tue Bodai, Tamas, MS95, 2:15 Tue Budisic, Marko, MS100, 3:45 Tue Cheviakov, Alexei F., MS158, 1:15 Thu Boechler, Nicholas, MS7, 9:15 Sun Burke, Korana, CP7, 1:15 Tue Chhapkhane, Prasad G., CP11, 2:55 Wed Bollt, Erik, MS100, 5:15 Tue Burstein, David, CP1, 1:35 Tue Chian, Abraham C., MS141, 9:00 Thu Bollt, Erik, MS135, 3:45 Wed Butail, Sachit, MS76, 3:45 Mon Chiba, Hayato, MS133, 3:45 Wed Bollt, Erik, MS148, 8:30 Thu Butail, Sachit, MS76, 5:15 Mon Chiba, Hayato, MS133, 4:15 Wed Bonetti, Sara, MS44, 10:00 Mon Buzzard, Gregery, MS160, 1:45 Thu Chiba, Hayato, MS146, 8:30 Thu Bonsall, Michael, MS98, 4:45 Tue Byrne, Aine, MS134, 3:45 Wed Childs, Lauren, MS115, 9:00 Wed Borisyuk, Alla, MS14, 1:15 Sun Byrne, Aine, MS134, 5:15 Wed Ching, ShiNung, MS127, 1:45 Wed Borisyuk, Alla, PP2, 8:30 Wed Cho, Hanna, MS37, 5:15 Sun C Chou, Ching-Shan, MS23, 2:15 Sun Borisyuk, Roman M., CP11, 1:35 Wed Caiola, Michael, MS163, 2:45 Thu Chou, Tom, MS65, 4:15 Mon Bose, Amitabha, MS170, 4:45 Thu Caldas, Ibere L., CP7, 1:35 Tue Chou, Tom, MS98, 3:45 Tue Bose, Thomas, MS18, 1:45 Sun Callahan, Timothy K., CP11, 1:55 Wed Choudhary, Abhishek, PP2, 8:30 Wed Bossolini, Elena, MS53, 2:15 Mon Calleja, Renato, MS102, 5:15 Tue Choudhary, Anshul, MS3, 9:45 Sun Bourouiba, Lydia, MS10, 9:15 Sun Cameron, Maria K., MS65, 4:45 Mon Christoph, Jan, MS83, 9:00 Tue Bozovic, Dolores, MS105, 3:45 Tue Canavier, Carmen, MS51, 2:15 Mon Christov, Ivan C., MS36, 3:45 Sun Bozovic, Dolores, MS105, 3:45 Tue Cannon, Jonathan, MS157, 2:15 Thu Christov, Ivan C., MS36, 4:15 Sun Bozovic, Dolores, MS118, 8:30 Wed Carr, Thomas W., MS131, 3:45 Wed Christov, Ivan C., MS49, 8:30 Mon Bradley, Elizabeth, MS78, 8:30 Tue Carr, Thomas W., MS131, 3:45 Wed Cintron-Arias, Ariel, MS165, 1:15 Thu Bradley, Elizabeth, MS91, 1:15 Tue Carroll, Thomas L., MS17, 1:15 Sun Cintron-Arias, Ariel, MS178, 3:45 Thu Bradley, Elizabeth, MS117, 9:00 Wed Carroll, Thomas L., MS17, 1:15 Sun Cintron-Arias, Ariel, MS178, 3:45 Thu Brannan, Jim, MS112, 10:00 Wed Carroll, Thomas L., MS30, 3:45 Sun Ciocanel, Veronica M., MS11, 8:15 Sun Breden, Maxime, MS60, 2:15 Mon Carter, Paul, MS114, 8:30 Wed Ciocanel, Veronica M., MS23, 1:15 Sun Breen, Daniel, MS5, 9:15 Sun Carter, Paul, CP10, 1:35 Wed Ciocanel, Veronica M., MS58, 1:15 Mon Brena-Medina, Victor F., MS77, 10:00 Cecchini, Gloria, PP2, 8:30 Wed Tue Claassen, Kyle, MS58, 1:45 Mon Chakrabortty, Aranya, MS169, 4:45 Thu Bressloff, Paul C., MS38, 9:30 Mon Clementi, Cecilia, MS151, 9:30 Thu Champneys, Alan R., MS53, 1:15 Mon Brett, Genevieve, PP1, 8:30 Tue Clifton, Sara, PP1, 8:30 Tue Champneys, Alan R., MS53, 1:15 Mon Brockett, Roger, MS41, 9:30 Mon Clusella Cobero, Pau, PP2, 8:30 Wed Champneys, Alan R., MS66, 3:45 Mon Brons, Morten, MS49, 9:30 Mon Cochran, Amy, MS98, 5:15 Tue Chan, Sze-Chun, MS139, 5:15 Wed Bronski, Jared, MS154, 1:45 Thu Collens, Jarod, PP1, 8:30 Tue Chandrashekar, Pooja, PP1, 8:30 Tue Brouwer, Andrew, MS165, 2:15 Thu Collins, David, MS117, 8:30 Wed Chang, Henry, MS162, 2:15 Thu Brunsell, Nathaniel A., MS70, 3:45 Mon Collins, David, MS117, 8:30 Wed Chartrand, Thomas, PP1, 8:30 Tue Brunton, Bingni W., MS61, 1:15 Mon Colombo, Alessandro, CP9, 1:35 Wed Chaudhary, Renu, CP14, 2:15 Wed Brunton, Bingni W., MS61, 2:45 Mon Comtois, Philippe, MS164, 1:15 Thu Chaunsali, Rajesh, MS50, 10:00 Mon

Italicized names indicate session organizers 334 SIAM Conference on Applications of Dynamical Systems

Comtois, Philippe, MS164, 2:15 Thu Dawes, Jonathan, MS77, 8:30 Tue Duncan, Jacob P., PP1, 8:30 Tue Comtois, Philippe, MS177, 3:45 Thu Dawes, Jonathan, MS90, 1:15 Tue Dunworth, Jeffrey, MS144, 9:00 Thu Contreras Osorio, Sebastian, CP4, 2:55 Day, Sarah, MS78, 9:00 Tue Duraisamy, Karthik, MS156, 2:15 Thu Tue Day, Troy, MS115, 10:00 Wed Dyachenko, Sergey, MS119, 9:30 Wed Conway, Jessica M., MS82, 8:30 Tue De Pitt`a, Maurizio, MS14, 1:45 Sun Conway, Jessica M., MS115, 8:30 Wed De Rijk, Björn, MS167, 4:45 Thu E Eisenberg, Bob, MS42, 9:00 Mon Cornelius, Sean P., MS3, 9:15 Sun De Sousa, Meirielen C., PP1, 8:30 Tue Eisenberg, Marisa, MS165, 1:15 Thu Cornwell, Paul, MS154, 2:45 Thu Dec, Dominika, PP2, 8:30 Wed Eisenberg, Marisa, MS165, 1:15 Thu Corron, Ned J., MS17, 1:15 Sun del Genio, Charo I., MS21, 2:45 Sun Eisenberg, Marisa, MS178, 3:45 Thu Corron, Ned J., MS30, 3:45 Sun Dellnitz, Michael, MS20, 2:45 Sun El-Borai, Mahmoud M., CP10, 1:55 Corron, Ned J., MS30, 4:15 Sun Derks, Gianne, MS22, 1:45 Sun Wed Cortez, Michael, MS88, 9:00 Tue Deschle, Nicolás, PP2, 8:30 Wed Elston, Timothy, MS11, 9:15 Sun Craig, Morgan, MS10, 8:15 Sun Desroches, Mathieu, MS68, 3:45 Mon Engelbrecht, Jan, MS28, 4:15 Sun Craig, Morgan, MS10, 8:15 Sun Desroches, Mathieu, MS68, 3:45 Mon Engler, Hans, MS129, 4:15 Wed Creaser, Jennifer L., MS38, 8:30 Mon Desroches, Mathieu, MS81, 8:30 Tue Enyi, Cyril D., PP2, 8:30 Wed Creaser, Jennifer L., MS80, 9:00 Tue Dey, Tamal, MS91, 2:45 Tue Ermentrout, Bard, MS81, 9:30 Tue Criado, Regino, MS21, 1:15 Sun Dhar, Sougata, PP1, 8:30 Tue Erturk, Alper, MS50, 9:00 Mon Criado, Regino, PP1, 8:30 Tue di Bernardo, Mario, MS87, 8:30 Tue Eubank, Stephen, MS3, 8:45 Sun Crodelle, Jennifer, MS163, 1:15 Thu Di Bernardo, Mario, MS86, 9:30 Tue Evers, Joep, MS171, 5:15 Thu Crodelle, Jennifer, MS176, 3:45 Thu Diekman, Casey, MS51, 1:15 Mon Crodelle, Jennifer, MS176, 3:45 Thu Diekman, Casey, MS51, 1:45 Mon F Fairchild, Michael J., MS121, 8:30 Wed Crouzat, Seán, MS141, 8:30 Thu Dierckx, Hans, MS108, 4:15 Tue Fairchild, Michael J., MS121, 9:00 Wed Cumings, Karen M., MS48, 8:30 Mon Dini, Daniele, MS66, 4:15 Mon Falcon, Claudio, CP3, 1:35 Tue Cumings, Karen M., MS48, 10:00 Mon Diniz Behn, Cecilia, MS51, 1:15 Mon Fan, Gaoyang, PP1, 8:30 Tue Cyranka, Jacek, MS13, 2:15 Sun Diniz Behn, Cecilia, MS51, 1:15 Mon Faranda, Davide, MS104, 3:45 Tue Dockery, Jack D., MS147, 8:30 Thu D Faranda, Davide, MS104, 3:45 Tue Daffertshofer, Andreas, MS38, 8:30 Dodson, Stephanie, PP2, 8:30 Wed Farazmand, Mohammad, MS47, 9:00 Mon Doelman, Arjen, MS126, 1:45 Wed Mon Dahiya, Sumita, PP2, 8:30 Wed Doelman, Arjen, IP7, 6:15 Thu Farazmand, Mohammad, MS97, 3:45 Tue Dai, Wei, MS163, 2:15 Thu Doelman, Arjen, MS145, 8:30 Thu Farazmand, Mohammad, MS110, 8:30 Wed Dance, Sarah, MT2, 1:15 Sun Doering, Charles R., MS52, 2:45 Mon Farhat, Aseel, MS26, 5:15 Sun Dance, Sarah, PP2, 8:30 Wed Dohnal, Tomas, MS106, 4:15 Tue Farjami, Saeed, PP1, 8:30 Tue Danes, Nicholas, MS173, 3:45 Thu Dombovari, Zoltan, MS9, 9:45 Sun Faver, Timothy E., MS58, 2:15 Mon Dangelmayr, Gerhard, MS96, 3:45 Tue D’Orsogna, Maria, MS98, 3:45 Tue Feng, Wen, PP1, 8:30 Tue Dankowicz, Harry, MS31, 4:15 Sun D’Silva, Jeremy P., PP2, 8:30 Wed Feng, Zhilan, MS115, 8:30 Wed Das, Suddhasattwa, MS140, 5:15 Wed D’Souza, Raissa, MS75, 3:45 Mon Fenton, Flavio H., MS143, 10:00 Thu Davis, Paige, MS167, 5:15 Thu Duan, Jinqiao, MS29, 4:15 Sun Fernández-García, Soledad, MS68, 5:15 Davison, Elizabeth, MS146, 10:00 Thu Duan, Jinqiao, MS63, 1:15 Mon Mon Dawes, Jonathan, MS77, 8:30 Tue Dudgeon, Steven, MS64, 5:15 Mon Fernandez-Oto, Cristian, MS132, 4:45 Wed

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 335

Ferrario, Andrea, PP1, 8:30 Tue Gelens, Lendert, MS132, 3:45 Wed Granados, Albert, MS51, 2:45 Mon Feudel, Ulrike, MS95, 1:15 Tue Gemmer, John, CP13, 1:35 Wed Griffin, Christopher H., CP8, 2:35 Wed Feudel, Ulrike, MS95, 1:15 Tue Gendelman, Oleg, MS37, 3:45 Sun Grigoriev, Roman, MS108, 3:45 Tue Field, Michael, MS86, 8:30 Tue Gendelman, Oleg, MS37, 3:45 Sun Grigoriev, Roman, MS108, 3:45 Tue Filippi, Margaux, MS100, 4:15 Tue Gendelman, Oleg, MS50, 8:30 Mon Grimm, Uwe, MS4, 8:45 Sun Finley, Stacey, MS160, 2:45 Thu Georgescu, Michael, CP7, 1:55 Tue Grooms, Ian, MS67, 3:45 Mon Fish, Jeremie A., PP2, 8:30 Wed Getto, Philipp, MS102, 4:15 Tue Groothedde, Chris M., PP1, 8:30 Tue Fishman, Aaron, PP1, 8:30 Tue Ghazaryan, Anna, MS103, 3:45 Tue Grosh, Karl, MS118, 10:00 Wed Fletcher, Patrick A., MS5, 8:15 Sun Ghazaryan, Anna, MS116, 8:30 Wed Grover, Jaskaran S., MS121, 8:30 Wed Fletcher, Patrick A., MS5, 8:15 Sun Ghazaryan, Anna, MS167, 4:15 Thu Grover, Piyush, CP13, 1:55 Wed Folias, Stefanos, MS114, 8:30 Wed Ghil, Michael, MS159, 1:45 Thu Gu, Qinglong, MS176, 4:15 Thu Ford Versypt, Ashlee N., MS160, 2:15 Giacomin, Giambattista, IP3, 6:00 Mon Guckenheimer, John, MS99, 3:45 Tue Thu Giannakis, Dimitrios, MS79, 8:30 Tue Gugercin, Serkan, MS56, 2:45 Mon Forgoston, Eric, MS162, 1:15 Thu Giannakis, Dimitrios, MS92, 1:15 Tue Guillery, Nathan, PP1, 8:30 Tue Forgoston, Eric, MS162, 1:15 Thu Giannakis, Dimitrios, MS92, 1:15 Tue Gupta, Neha, CP7, 2:15 Tue Forgoston, Eric, MS175, 3:45 Thu Gilbert, Jace E., PP2, 8:30 Wed Gurevich, Daniel, PP1, 8:30 Tue Fraden, Seth, MS34, 4:15 Sun Giraldo, Andrus A., PP1, 8:30 Tue Guseva, Ksenia, MS59, 1:15 Mon Franci, Alessio, MS157, 1:15 Thu Girvan, Michelle, MS142, 9:30 Thu Guseva, Ksenia, MS59, 2:45 Mon Franci, Alessio, MS157, 1:15 Thu Glasner, Karl, MS55, 1:15 Mon Franci, Alessio, MS170, 3:45 Thu Gluckman, Bruce, MS152, 10:00 Thu H Hadjighasem, Alireza, MS128, 4:45 Fraser, Andrew M., PP2, 8:30 Wed Goh, Ryan, MS137, 3:45 Wed Wed Frongillo, Rafael, MS25, 5:15 Sun Goh, Ryan, MS137, 3:45 Wed Hahn, Jonathan, MS80, 9:30 Tue Froyland, Gary, MS92, 2:45 Tue Goh, Ryan, MS150, 8:30 Thu Haley, James M., CP13, 2:15 Wed Froyland, Gary, IP5, 11:00 Wed Gokhale, Shreyas, MS63, 2:15 Mon Hall, Eric J., MS124, 2:15 Wed G Goldman, Daniel, MS121, 10:00 Wed Haller, George, MS113, 9:00 Wed Gajamannage, Kelum D., CP11, 2:15 Golubitsky, Martin, MS170, 4:15 Thu Haller, George, MS128, 3:45 Wed Wed Goluskin, David, CP6, 1:55 Tue Haller, George, MS141, 8:30 Thu Gandhi, Punit R., MS44, 8:30 Mon Gomez, Marcella M., MS131, 4:15 Wed Hallerberg, Sarah, MS93, 1:45 Tue Gandhi, Punit R., CP3, 1:55 Tue Gomez-Gardenes, Jesus, MS168, 4:45 Hamilton, Franz, MS140, 3:45 Wed Thu Gauthier, Daniel J., MS41, 8:30 Mon Hamilton, Franz, MS140, 3:45 Wed Gonchenko, Marina, MS32, 3:45 Sun Gauthier, Daniel J., MS41, 10:00 Mon Hampton, Marshall, MS166, 2:45 Thu Gonchenko, Marina, MS32, 3:45 Sun Gavish, Nir, MS42, 8:30 Mon Handwerk, Derek, MS77, 9:00 Tue Gonchenko, Marina, MS45, 8:30 Mon Gavish, Nir, MS42, 8:30 Mon Handy, Gregory A., MS14, 1:15 Sun Gong, Xue, MS125, 1:45 Wed Gavish, Nir, MS55, 1:15 Mon Hannam, James, MS1, 9:45 Sun Gonzalez, Jorge L., PP1, 8:30 Tue Gay-Balmaz, Francois, MS153, 9:00 Harlim, John, MS111, 8:30 Wed Thu Gore, Jeff, MS52, 1:45 Mon Harlim, John, MS124, 1:15 Wed Ge, Jin, MS24, 1:15 Sun Goswami, Bedartha, MS159, 2:15 Thu Harlim, John, MS138, 4:15 Wed Ge, Jin, MS24, 1:15 Sun Goto, Susumu, MS47, 10:00 Mon Harris, Jeremy D., MS114, 9:30 Wed Gedeon, Tomas, MT1, 8:15 Sun Govindarajan, Nithin, MS107, 5:15 Tue Hart, Joseph, MS122, 1:15 Wed Gelens, Lendert, MS132, 3:45 Wed Gowda, Karna V., MS93, 2:45 Tue Hartmann, Carsten, MS138, 3:45 Wed

Italicized names indicate session organizers 336 SIAM Conference on Applications of Dynamical Systems

Hartmann, Carsten, MS151, 8:30 Thu Hupkes, Hermen Jan, MS58, 1:15 Mon Kalliadasis, Serafim, MS138, 3:45 Wed Hasan, Cris, MS99, 3:45 Tue Hupkes, Hermen Jan, MS137, 5:15 Kaloshin, Vadim, IP6, 11:00 Thu Wed Hasan, Cris, PP2, 8:30 Wed Kanso, Eva, MS130, 4:15 Wed Hurtado, Paul J., MS165, 1:15 Thu Hassan, Sk Sarif, PP1, 8:30 Tue Kaper, Hans G., MS129, 3:45 Wed Hurtado, Paul J., MS178, 3:45 Thu Hassanaly, Malik, PP1, 8:30 Tue Kapitaniak, Tomasz, CP6, 2:35 Tue Hassanzadeh, Pedram, MS97, 4:45 Tue I Karamchandani, Avinash J., PP1, 8:30 Hastings, Harold M., MS34, 3:45 Sun Iams, Sarah, MS44, 8:30 Mon Tue Heckman, Christoffer R., CP12, 2:15 Iams, Sarah, MS44, 8:30 Mon Karamched, Bhargav R., MS171, 4:15 Thu Wed Ibarra, Austin J., PP2, 8:30 Wed Karrasch, Daniel, MS128, 3:45 Wed Hendrix, Angelean O., MS22, 2:15 Sun Ide, Kayo, MS39, 8:30 Mon Karrasch, Daniel, MS128, 3:45 Wed Henry, Bruce I., MS161, 1:15 Thu Iima, Makoto, MS126, 2:45 Wed Karrasch, Daniel, MS141, 8:30 Thu Hetebrij, Wouter A., PP1, 8:30 Tue Illing, Lucas, MS130, 3:45 Wed Hiruta, Yoshiki, MS47, 9:30 Mon Kath, William, MS40, 8:30 Mon Hittmeyer, Stefanie, MS45, 9:30 Mon J Ke, Ruian, MS82, 9:30 Tue Jaibi, Olfa, PP2, 8:30 Wed Hjorth, Poul G., CP8, 2:55 Wed Ke, Ruian, MS115, 8:30 Wed Jalan, Sarika, MS15, 1:15 Sun Hlinka, Jaroslav, MS2, 9:45 Sun Keane, Andrew, MS72, 4:15 Mon James, Guillaume, MS7, 8:15 Sun Hoffmann, Norbert, MS66, 3:45 Mon Keane, Andrew, MS123, 1:15 Wed James, Guillaume, MS19, 1:15 Sun Hogan, S. John, MS53, 1:45 Mon Keane, Andrew, MS129, 3:45 Wed James, Ryan G., MS148, 9:30 Thu Holdstworth, Amber, MS117, 10:00 Kelley, Douglas H., CP3, 2:15 Tue Wed Jaquette, Jonathan C., MS13, 1:15 Sun Kelly, Scott D., MS121, 8:30 Wed Holzer, Matt, MS109, 8:30 Wed Jaquette, Jonathan C., MS25, 3:45 Sun Kelly, Scott D., MS121, 9:30 Wed Holzer, Matt, MS154, 1:15 Thu Jaquette, Jonathan C., MS25, 3:45 Sun Kemeth, Felix, MS120, 10:00 Wed Holzer, Matt, MS167, 3:45 Thu Jaramillo, Gabriela, MS103, 4:15 Tue Kenens, Karel, MS72, 3:45 Mon Homer, Martin, MS136, 3:45 Wed Jaramillo, Gabriela, MS114, 8:30 Wed Kenens, Karel, MS85, 8:30 Tue Hook, James, PP1, 8:30 Tue Jenkinson, Michael, PP2, 8:30 Wed Kenens, Karel, MS85, 9:00 Tue Hooker, Giles, MS165, 1:45 Thu Jeter, Russell, MS86, 9:00 Tue Kennedy, Benjamin, MS72, 4:45 Mon Hoyer-Leitzel, Alanna, MS101, 3:45 Tue Jia, Chen, MS63, 1:15 Mon Kepley, Shane D., MS13, 2:45 Sun Hoyer-Leitzel, Alanna, MS166, 1:45 Jilkine, Alexandra, MS11, 8:15 Sun Kerswell, Rich, MS47, 8:30 Mon Thu Jirsa, Viktor, MS144, 8:30 Thu Kevrekidis, Ioannis, MS97, 3:45 Tue Hripcsak, George, MS152, 9:30 Thu Jolly, Michael S., MS101, 4:45 Tue Khatri, Ratna, PP2, 8:30 Wed Hsieh, Ani, MS162, 1:15 Thu Jones, Chris, MS67, 4:15 Mon Kilpatrick, Zachary P., MS18, 2:45 Sun Hsieh, Ani, MS175, 3:45 Thu Ju, Huiwen, PP2, 8:30 Wed Kim, Jae Kyoung, MS146, 8:30 Thu Huang, Chengcheng, MS40, 9:00 Mon Junge, Oliver, MS20, 1:45 Sun Kim, Jason, PP2, 8:30 Wed Huard, Benoit, MS46, 10:00 Mon Kim, Lae Un, MS98, 3:45 Tue Huddy, Stanley R., MS149, 8:30 Thu K Kadakia, Nirag, PP2, 8:30 Wed Kirk, Vivien, MS68, 3:45 Mon Huddy, Stanley R., MS149, 8:30 Thu Kaddoum, Georges, MS17, 2:15 Sun Kirk, Vivien, MS81, 8:30 Tue Huepe, Cristian, MS130, 5:15 Wed Kahng, Byungnam, MS75, 4:15 Mon Kirst, Christoph, MS62, 2:15 Mon Humphries, Tony R., MS102, 3:45 Tue Kaiser, Eurika, MS8, 9:15 Sun Kirwan, Denny, MS141, 9:30 Thu Humphries, Tony R., MS102, 3:45 Tue Kaiser, Eurika, MS43, 8:30 Mon Kiss, Gabor, MS72, 3:45 Mon Hunt, Brian R., MS41, 9:00 Mon Kaiser, Eurika, MS56, 1:15 Mon Kiss, Gabor, MS72, 3:45 Mon Hunter, Ian M., PP1, 8:30 Tue Kalies, William D., MT1, 8:15 Sun Kiss, Gabor, MS85, 8:30 Tue

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 337

Kiss, Istvan Z., MS34, 4:45 Sun Lafortune, Stephane, MS116, 8:30 Wed Lin, Kevin K., MS111, 8:30 Wed Klapper, Isaac, MS147, 8:30 Thu Laing, Carlo R., MS133, 5:15 Wed Lin, Kevin K., MS111, 8:30 Wed Klapper, Isaac, MS147, 9:30 Thu Lainscsek, Claudia, MS57, 2:45 Mon Lin, Kevin K., MS124, 1:15 Wed Klobusicky, Joe, MS6, 8:15 Sun Lamb, Jeroen, MS125, 2:15 Wed Lindsay, Alan E., MS158, 1:15 Thu Klobusicky, Joe, MS6, 8:15 Sun Lamb, Maurice, MS87, 10:00 Tue Lindsay, Alan E., MS158, 2:45 Thu Klus, Stefan, MS138, 3:45 Wed Langlois, Gabriel, MS10, 8:45 Sun Lindsay, Alan E., MS171, 3:45 Thu Klus, Stefan, MS151, 8:30 Thu Law, Kody, MS39, 10:00 Mon Linkmann, Moritz, MS47, 8:30 Mon Klus, Stefan, MS151, 10:00 Thu Lawley, Sean, MS6, 9:15 Sun Linkmann, Moritz, MS60, 1:15 Mon Knobloch, Edgar, MS81, 8:30 Tue Layton, Anita T., MS160, 1:15 Thu Lipshutz, David, MS6, 9:45 Sun Kogelbauer, Florian, MS113, 9:30 Wed Layton, Anita T., MS173, 3:45 Thu Liu, Chun, MS42, 9:30 Mon Koh, Min Hyong, MS84, 9:30 Tue Lazaro, J. Tomas, MS32, 4:45 Sun Liu, Di, MS63, 1:45 Mon Koksal Ersoz, Elif, MS68, 4:45 Mon Lazarus, Lauren, CP9, 2:55 Wed Livina, Valerie N., MS112, 8:30 Wed Kolokolnikov, Theodore, MS145, 8:30 Thu Lee, Barton, MS146, 9:30 Thu Llewellyn Smith, Stefan, MS94, 2:45 Kolokolnikov, Theodore, MS158, 2:15 Lee, Mary Elizabeth, MS130, 3:45 Wed Tue Thu Lee, Mary Elizabeth, MS143, 8:30 Thu Lloyd, Alun, MS69, 3:45 Mon Koltai, Peter, MS8, 8:15 Sun Lega, Joceline, MS96, 3:45 Tue Lloyd, Alun, MS69, 3:45 Mon Koltai, Peter, MS8, 9:45 Sun Lehman, Clarence, MS70, 4:15 Mon Lloyd, Alun, MS82, 8:30 Tue Koltai, Peter, MS20, 1:15 Sun Lehnertz, Klaus, MS2, 8:15 Sun Locke, Rory A., PP2, 8:30 Wed Kostelich, Eric J., MT2, 1:15 Sun Lehnertz, Klaus, MS2, 8:15 Sun Lohmann, Johannes, PP2, 8:30 Wed Kosztolowicz, Tadeusz, MS161, 2:45 Thu Lendert Gelens, Lendert, MS126, 1:15 Wed Lohse, Alexander, MS45, 10:00 Mon Kovacic, Gregor, MS74, 3:45 Mon Leok, Melvin, MS153, 9:30 Thu Lopes, Sergio R., MS172, 4:15 Thu Kovacic, Gregor, MS74, 3:45 Mon Leonard, Naomi E., MS18, 1:15 Sun Lu, Fei, MS124, 1:45 Wed Kozak, Michal, CP3, 2:35 Tue Lermusiaux, Pierre F., MS56, 1:15 Mon Lu, Ting, MS35, 4:15 Sun Kramer, Peter R., MS23, 1:15 Sun Lessard, Jean-Philippe, MS13, 1:45 Sun Lucarini, Valerio, MS59, 2:15 Mon Kramer, Peter R., MS48, 8:30 Mon Letellier, Christophe, MS57, 1:15 Mon Lueptow, Richard M., MS49, 10:00 Krauskopf, Bernd, MS123, 1:15 Wed Mon Letellier, Christophe, MS57, 1:15 Mon Kreczak, Hannah E., PP2, 8:30 Wed Luther, Stefan, MS164, 1:15 Thu Leung, Henry, MS17, 2:45 Sun Kuehn, Christian, MS29, 3:45 Sun Luther, Stefan, MS177, 3:45 Thu Levien, Ethan, PP1, 8:30 Tue Kuehn, Christian, MS38, 10:00 Mon Levine, Matthew, MS152, 9:00 Thu M Kuehner, Viktoria, MS79, 10:00 Tue Lewis, Greg, CP7, 2:35 Tue Macau, Elbert E., MS159, 1:15 Thu Kulkarni, Chinmay S., MS175, 5:15 Thu Li, Jiangnan, MS117, 9:30 Wed Macau, Elbert E., MS172, 3:45 Thu Kunert-Graf, James M., CP1, 1:55 Tue Li, Jiaxu, MS46, 9:30 Mon Macau, Elbert E., MS172, 3:45 Thu Kurebayashi, Wataru, MS120, 9:00 Wed Li, Songting, MS27, 3:45 Sun Macesic, Senka, MS156, 2:45 Thu Kursawe, Jochen, MS136, 5:15 Wed Li, Songting, MS40, 8:30 Mon Maclean, John, MS26, 3:45 Sun Kurths, Juergen, MS15, 1:45 Sun Li, Songting, MS40, 9:30 Mon Maclean, John, MS39, 8:30 Mon Kutz, Nathan, MS156, 1:15 Thu Li, Xiantao, MS111, 9:30 Wed Maddocks, John H., MS151, 8:30 Thu Kyrychko, Yuliya, MS62, 1:15 Mon Li, Yao, MS151, 9:00 Thu Magpantay, Felicia, MS102, 4:45 Tue Kyrychko, Yuliya, MS72, 5:15 Mon Lian, Jianming, MS12, 8:15 Sun Mahadevan, L, IP1, 11:00 Sun L Lifshitz, Ron, MS4, 8:15 Sun Mahoney, John R., MS148, 10:00 Thu Lafortune, Stephane, MS103, 3:45 Tue Lilienkamp, Thomas, MS164, 2:45 Thu Malik, Nishant, MS3, 8:15 Sun Lafortune, Stephane, MS103, 4:45 Tue Lin, Congping, MS63, 2:45 Mon Malik, Nishant, MS3, 8:15 Sun

Italicized names indicate session organizers 338 SIAM Conference on Applications of Dynamical Systems

Malik, Nishant, MS15, 1:15 Sun Medvedev, Georgi S., MS133, 3:45 Wed Monga, Bharat, MS1, 8:15 Sun Malik, Sumit, CP12, 2:35 Wed Medvedev, Georgi S., MS146, 8:30 Thu Monroy, Paulino, PP1, 8:30 Tue Manevitch, Leonid, MS37, 4:45 Sun Mehlig, Bernhard, CP4, 1:15 Tue Monteiro da Silva, Rafael, MS137, 4:15 Mangan, Niall M., MS61, 2:15 Mon Meiss, James D., MS78, 8:30 Tue Wed Mani, Prakash, CP2, 2:35 Tue Meiss, James D., MS91, 1:15 Tue Montgomery, Richard, MS179, 3:45 Thu Manohar, Krithika, MS43, 8:30 Mon Meiss, James D., CP11, 2:35 Wed Mora, Karin, CP2, 1:15 Tue Manohar, Krithika, MS43, 9:00 Mon Meng, John, MS27, 4:15 Sun Motta, Francis, MS96, 5:15 Tue Manohar, Krithika, MS56, 1:15 Mon Mercier, Jean-François, MS19, 1:45 Sun Motter, Adilson E., MS142, 8:30 Thu Manukian, Vahagn, MS103, 3:45 Tue Meshkat, Nicolette, MS165, 2:45 Thu Mowlavi, Saviz, MS56, 2:15 Mon Manukian, Vahagn, MS116, 8:30 Wed Metcalfe, Guy, MS49, 9:00 Mon Moye, Matthew, MS5, 9:45 Sun Manukian, Vahagn, MS116, 10:00 Wed Metzler, Ralf, MS174, 3:45 Thu Mrozek, Marian, MS91, 1:15 Tue Marangell, Robert, MS154, 1:15 Thu Meyer, Katherine, MS64, 3:45 Mon Mujica, Jose, MS99, 3:45 Tue Marangell, Robert, MS167, 3:45 Thu Meyer, Katherine, MS64, 3:45 Mon Mujica, Jose, PP2, 8:30 Wed Marshall, James, MS18, 1:15 Sun Mezic, Igor, MS79, 8:30 Tue Munch, Elizabeth, MS91, 1:45 Tue Martel, Carlos, CP7, 2:55 Tue Mezic, Igor, MS156, 1:15 Thu Munoz, Laura, MS177, 5:15 Thu Martens, Erik A., CP6, 2:55 Tue Mezic, Igor, MS169, 3:45 Thu Murray, Brendan, MS60, 1:45 Mon Martinez, Alejandro J., PP2, 8:30 Wed Miles, Christopher E., PP1, 8:30 Tue Murray, John, MS98, 4:15 Tue Martinez, Vincent R., MS26, 3:45 Sun Milosaviljevic, Marko S., MS30, 3:45 Mwaffo, Violet, MS84, 9:00 Tue Martinez, Vincent R., MS39, 8:30 Mon Sun Mincsovicsne Selley, Fanni, MS73, 4:45 N Marucci, Lucia, MS136, 3:45 Wed Nadeau, Alice, MS101, 3:45 Tue Mon Masoller, Cristina, MS2, 8:15 Sun Nadeau, Alice, MS101, 3:45 Tue Mintchev, Stanislav M., MS73, 4:15 Masoller, Cristina, MS95, 1:45 Tue Mon Nagatoshi, Keisuke, PP1, 8:30 Tue Mason, Gemma, PP2, 8:30 Wed Mirollo, Rennie, MS28, 3:45 Sun Naik, Shibabrat, MS175, 3:45 Thu Mather, William H., MS35, 4:45 Sun Mischaikow, Konstantin, MT1, 8:15 Sun Nakano, Naoto, CP10, 2:35 Wed Matni, Nikolai, MS24, 2:15 Sun Mischaikow, Konstantin, MT1, 8:15 Sun Nakao, Hiroya, MS146, 9:00 Thu Mauroy, Alexandre, MS107, 3:45 Tue Mitchell, Jonathan, PP1, 8:30 Tue Nakata, Yukihiko, MS85, 9:30 Tue Mauroy, Alexandre, MS107, 3:45 Tue Mitchell, Rebecca A., PP2, 8:30 Wed Namachchivaya, Navaratnam Sri, Mauroy, Alexandre, MS120, 8:30 Wed MS113, 10:00 Wed Mitry, John, MS68, 4:15 Mon Mazza, Christian, MS90, 2:15 Tue Nandagopal, Sandy, MS35, 5:15 Sun Mochizuki, Atsushi, MS149, 9:30 Thu McCalla, Scott, MS109, 8:30 Wed Nardini, John, PP1, 8:30 Tue Moehlis, Jeff, MS1, 8:15 Sun McCalla, Scott, MS150, 8:30 Thu Nave, Gary K., MS100, 4:45 Tue Moehlis, Jeff, MS144, 10:00 Thu McGahan, Ian, PP1, 8:30 Tue Nazockdast, Ehssan, MS23, 2:45 Sun Mohamad, Mustafa, MS110, 9:30 Wed Mcgann, Anna V., PP1, 8:30 Tue Neiman, Alexander, MS118, 9:30 Wed Mohr, Ryan, MS79, 8:30 Tue McGehee, Richard, MS70, 3:45 Mon Nepomnyashchy, Alexander, MS161, 1:15 Mohr, Ryan, MS79, 9:00 Tue McGehee, Richard, MS70, 4:45 Mon Thu Mohr, Ryan, MS92, 1:15 Tue Mckenna, Joseph, MS5, 8:45 Sun Nepomnyashchy, Alexander, MS174, 3:45 Molnar, Tamas G., MS9, 9:15 Sun Thu McKinley, Scott, MS23, 1:45 Sun Moloney, Nicholas, MS104, 4:15 Tue Neville, Rachel, MS78, 9:30 Tue Medlock, Jan, MS69, 3:45 Mon Monahan, Adam, MS112, 9:00 Wed Newby, Jay, MS171, 4:45 Thu Medlock, Jan, MS69, 4:15 Mon Mondaini, Cecilia F., MS26, 3:45 Sun Newell, Alan, MS77, 9:30 Tue Medlock, Jan, MS82, 8:30 Tue Mondaini, Cecilia F., MS26, 3:45 Sun Newhall, Katherine, MS6, 8:45 Sun Medvedev, Georgi S., MS133, 3:45 Wed Mondaini, Cecilia F., MS39, 8:30 Mon Nicolaou, Zachary G., MS168, 5:15 Thu

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 339

Nicolis, Stamatios C., MS18, 2:15 Sun Ouellette, Nicholas T., MS20, 1:15 Sun Pimenov, Alexander, MS119, 9:00 Wed Nieddu, Garrett, PP1, 8:30 Tue Ovsyannikov, Ivan, MS32, 3:45 Sun Pina, Jason E., PP2, 8:30 Wed Niedermayer, Thomas, MS177, 4:15 Thu Ovsyannikov, Ivan, MS45, 8:30 Mon Plechac, Petr, MS138, 4:45 Wed Nijholt, Eddie, MS73, 3:45 Mon Ovsyannikov, Ivan, MS45, 8:30 Mon Pogan, Alin, MS116, 9:30 Wed Nijholt, Eddie, MS73, 5:15 Mon Oza, Anand, MS36, 4:45 Sun Politi, Antonio, MS159, 2:45 Thu Nijholt, Eddie, MS86, 8:30 Tue Ozcimder, Kayhan, MS87, 9:30 Tue Ponedel, Benjamin C., MS132, 4:15 Wed Nishikawa, Takashi, MS142, 8:30 Thu Ozturk, Ugur, MS135, 5:15 Wed Porfiri, Maurizio, MS84, 8:30 Tue Nishikawa, Takashi, MS142, 8:30 Thu Porporato, Amilcare, MS44, 9:00 Mon Nishimura, Joel D., CP12, 1:15 Wed P Porter, Mason A., MS91, 2:15 Tue Padberg-Gehle, Kathrin, MS8, 8:15 Sun Nishiura, Yasumasa, MS126, 1:15 Wed Postlethwaite, Claire M., MS38, 9:00 Padberg-Gehle, Kathrin, MS8, 8:15 Sun Mon Nishiura, Yasumasa, MS126, 1:15 Wed Padberg-Gehle, Kathrin, MS20, 1:15 Sun Prado, Thiago L., CP13, 2:35 Wed Nishiura, Yasumasa, MS132, 3:45 Wed Pagliara, Renato, MS18, 1:15 Sun Pratt, Larry, MS54, 2:15 Mon Noe, Frank, MS169, 5:15 Thu Palmer, Cody, CP5, 1:55 Tue Priyankara, Kanaththa G., PP1, 8:30 Tue Nolan, Peter, MS76, 4:45 Mon Papadopoulos, Lia, PP2, 8:30 Wed Proctor, Joshua L., MS61, 1:15 Mon Nolde, Christian, PP2, 8:30 Wed Pappu, Chandra S., MS30, 5:15 Sun Proctor, Joshua L., MS61, 1:15 Mon Norton, Michael M., CP1, 2:35 Tue Papusha, Ivan, MS24, 1:45 Sun Promislow, Keith, MS55, 1:45 Mon Novikov, Alexei, MS174, 4:15 Thu Park, Choongseok, PP1, 8:30 Tue Pusuluri, Krishna, PP2, 8:30 Wed Nykamp, Duane, MS27, 3:45 Sun Park, Jaesuk, PP1, 8:30 Tue Putkaradze, Vakhtang, MS89, 8:30 Tue O Park, Youngmin, MS134, 4:45 Wed Putkaradze, Vakhtang, MS153, 8:30 Thu O Maoileidigh, Daibhid, MS105, 4:15 Tue Parker, Robert S., MS22, 2:45 Sun Pyzza, Pamela B., MS163, 1:15 Thu Oettinger, David, PP1, 8:30 Tue Parlitz, Ulrich, MS57, 2:15 Mon Pyzza, Pamela B., MS163, 1:15 Thu Parlitz, Ulrich, MS83, 8:30 Tue Ohsawa, Tomoki, MS89, 9:30 Tue Pyzza, Pamela B., MS176, 3:45 Thu Oldazimi, Maysam, MS66, 4:45 Mon Peckham, Bruce B., CP9, 1:55 Wed Olivar, Gerard, MS71, 4:45 Mon Pecora, Louis M., MS122, 1:15 Wed Q Qi, Di, MS110, 10:00 Wed Oliver, Marcel, MS54, 1:15 Mon Pecora, Louis M., MS168, 3:45 Thu Quade, Markus, PP1, 8:30 Tue Oliver, Marcel, MS54, 1:15 Mon Peitz, Sebastian, MS12, 9:15 Sun Queirolo, Elena, MS25, 4:45 Sun Oliver, Marcel, MS67, 3:45 Mon Peles, Slaven, MS12, 8:15 Sun Quevedo, Fernando J., PP2, 8:30 Wed Olson, Elizabeth S., MS118, 9:00 Wed Peles, Slaven, MS12, 9:45 Sun Quinn, Courtney, MS129, 5:15 Wed Olson, Eric, MS26, 4:45 Sun Pennybacker, Matt, MS90, 2:45 Tue Olszowiec, Cezary, PP1, 8:30 Tue Perchikov, Nathan, MS19, 2:15 Sun R Omel’chenko, Oleh, MS133, 4:45 Wed Pereira, Tiago, MS73, 3:45 Mon Raak, Fredrik, MS120, 9:30 Wed Oprea, Iuliana, MS96, 3:45 Tue Pertsov, Arkady, MS83, 10:00 Tue Rachinskiy, Dmitry, MS106, 3:45 Tue Orosz, Gabor, MS24, 1:15 Sun Pethel, Shawn D., MS135, 3:45 Wed Rachinskiy, Dmitry, MS119, 8:30 Wed Orosz, Gabor, MS31, 3:45 Sun Pethel, Shawn D., MS148, 8:30 Thu Rachinskiy, Dmitry, MS119, 8:30 Wed Otani, Niels, MS177, 3:45 Thu Pethel, Shawn D., MS148, 9:00 Thu Rademacher, Jens, MS54, 1:15 Mon Ott, Edward, SP1, 6:15 Sun Philips, David, MS122, 2:15 Wed Rademacher, Jens, MS67, 3:45 Mon Ott, Edward, MS41, 8:30 Mon Pietras, Bastian, MS134, 4:15 Wed Radunskaya, Ami, MS173, 4:15 Thu Ott, Edward, MS41, 8:30 Mon Pikovsky, Arkady, MS28, 3:45 Sun Rahman, Aminur, MS36, 3:45 Sun Ott, William, MS52, 2:15 Mon Pikovsky, Arkady, MS28, 3:45 Sun Rahman, Aminur, MS36, 3:45 Sun Ottino-Loffler, Bertrand, MS28, 4:45 Sun Piltz, Sofia H., MS88, 8:30 Tue Rahman, Aminur, MS49, 8:30 Mon Otto, Jasmine T., MS74, 5:15 Mon Piltz, Sofia H., PP2, 8:30 Wed Ramirez, Adrian, MS31, 4:45 Sun

Italicized names indicate session organizers 340 SIAM Conference on Applications of Dynamical Systems

Ramkrishna, Doraiswami, MS147, 9:00 Roy, Rajarshi, MS143, 9:30 Thu Schumacher, Joerg, MS8, 8:45 Sun Thu Roy, Subhradeep, MS76, 3:45 Mon Schwartz, Ira B., MS16, 1:45 Sun Rankin, James, PP2, 8:30 Wed Rozdeba, Paul, PP1, 8:30 Tue Scully, Jack, PP2, 8:30 Wed Rankin, James, MS144, 8:30 Thu Rubin, Jonathan E., MS157, 1:15 Thu Sebek, Michael, MS55, 2:15 Mon Rather, Mubasher, CP14, 2:35 Wed Rubin, Jonathan E., MS170, 3:45 Thu Sen, Surajit, MS7, 8:45 Sun Rayskin, Victoria, CP12, 1:35 Wed Rubin, Jonathan E., MS170, 3:45 Thu Sendina-Nadal, Irene, MS75, 3:45 Mon Reichenbach, Tobias, MS105, 4:45 Tue Rucklidge, Alastair M., MS4, 8:15 Sun Sendiña-Nadal, Irene, MS21, 1:45 Sun Reimbayev, Reimbay, PP2, 8:30 Wed Rucklidge, Alastair M., MS96, 4:15 Tue Serdukova, Larissa I., MS112, 9:30 Wed Reluga, Timothy, MS69, 5:15 Mon Russo, Giovanni, MS84, 10:00 Tue Serra, Mattia, MS128, 4:15 Wed Ren, Hai-Peng, MS17, 1:45 Sun Rypina, Irina, MS94, 2:15 Tue Serrano, Sergio, CP2, 1:35 Tue Restrepo, Juan G., MS155, 1:45 Thu Shapira, Alon Z., MS55, 2:45 Mon Restrepo, Juan M., MS162, 1:45 Thu S Saha, Arindam, MS95, 2:45 Tue Shatil, Namid, PP1, 8:30 Tue Rhea, Keaton, MS30, 4:45 Sun Saha, Raj, MS123, 2:15 Wed Shaw, Leah, MS16, 2:15 Sun Ribeiro, Ruy M., MS82, 10:00 Tue Sahai, Tuhin, MS12, 8:45 Sun Sheng, Qin, MS106, 4:45 Tue Richter, Reinhard, MS96, 4:45 Tue Saito, Asaki, CP6, 2:15 Tue Sheombarsing, Ray, PP2, 8:30 Wed Ridgway, Wesley J., MS158, 1:45 Thu Sanchez, Fabio, MS178, 4:45 Thu Shera, Christopher, MS105, 5:15 Tue Rings, Thorsten, MS2, 9:15 Sun Sanderson, Nicole, MS78, 8:30 Tue Shiells, Helen, PP2, 8:30 Wed Ritchie, Paul, MS101, 5:15 Tue Sanderson, Nicole, MS78, 10:00 Tue Shipman, Patrick, MS96, 3:45 Tue Ritt, Jason, MS157, 2:45 Thu Sanderson, Nicole, MS91, 1:15 Tue Shipman, Patrick, MS150, 9:00 Thu Roberts, Andrew, MS93, 2:15 Tue Sandstede, Bjorn, MS154, 1:15 Thu Shirasaka, Sho, MS1, 8:45 Sun Roberts, Anthony J., MS29, 4:45 Sun Santoprete, Manuele, MS166, 2:15 Thu Short, Martin, MS109, 9:00 Wed Roberts, Elijah, MS16, 2:45 Sun Sanz-Alonso, Daniel, MS39, 9:30 Mon Showalter, Kenneth, MS142, 10:00 Thu Roberts, Eric, PP1, 8:30 Tue Sapsis, Themistoklis, MS92, 1:45 Tue Sieber, Jan, MS85, 8:30 Tue Roberts, Gareth E., MS166, 1:15 Thu Sapsis, Themistoklis, MS97, 3:45 Tue Sieber, Jan, MS102, 3:45 Tue Roberts, Gareth E., MS166, 1:15 Thu Sapsis, Themistoklis, MS110, 8:30 Wed Siemer, Lars, PP2, 8:30 Wed Roberts, Gareth E., MS179, 3:45 Thu Sarma, Sridevi V., MS127, 2:15 Wed Siero, Eric, MS150, 10:00 Thu Roberts, Kerry-Lyn, MS157, 1:45 Thu Sato, Yuzuru, MS104, 3:45 Tue Silber, Mary, IP2, 11:00 Mon Robinson, Michael, MS140, 4:15 Wed Sato, Yuzuru, MS104, 5:15 Tue Simmons, Skyler, MS179, 4:45 Thu Rodrigues, Alexandre A., MS32, 5:15 Simpson, David J., MS71, 3:45 Mon Sun Sattari, Sulimon, PP2, 8:30 Wed Simpson, David J., MS71, 5:15 Mon Romance, Miguel, MS21, 2:15 Sun Sauer, Timothy, MS57, 1:45 Mon Sims, Neil D., MS9, 8:45 Sun Rosenblum, Michael, MS142, 9:00 Thu Schaal, Emily, PP1, 8:30 Tue Singh, Matthew, PP1, 8:30 Tue Rosolia, Ugo, MS24, 2:45 Sun Schaub, Michael, MS86, 10:00 Tue Singh, Ram, CP5, 2:15 Tue Ross, Aleksandra, MS62, 2:45 Mon Scheel, Arnd, MS167, 3:45 Thu Singh, Vikram, CP10, 2:15 Wed Ross, Shane D., MS162, 2:45 Thu Schelter, Bjoern, MS172, 4:45 Thu Sinhuber, Michael, MS76, 4:15 Mon Rost, Gergely, MS85, 10:00 Tue Schiff, Steven J., MS147, 10:00 Thu Skardal, Per Sebastian, MS155, 1:15 Thu Rotstein, Horacio G., MS5, 8:15 Sun Schiffer, Joshua, MS82, 9:00 Tue Skardal, Per Sebastian, MS155, 2:45 Rottmann-Matthes, Jens, MS154, 2:15 Schindler, Alexander, PP2, 8:30 Wed Thu Thu Schmidt, Daniel, MS171, 3:45 Thu Skardal, Per Sebastian, MS168, 3:45 Thu Rottschafer, Vivi, MS22, 1:15 Sun Schmidt, Helmut, MS132, 5:15 Wed Skufca, Joseph, MS149, 8:30 Thu Roussel, Marc R., MS131, 4:45 Wed Schneider, Tobias M., MS59, 1:45 Mon Skufca, Joseph, MS149, 9:00 Thu Rowley, Clarence, MS120, 8:30 Wed Schreiber, Sebastian, MS65, 3:45 Mon Sloboda, Andrew R., PP2, 8:30 Wed

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 341

Slowinski, Piotr, PP1, 8:30 Tue Suito, Hiroshi, IP4, 11:00 Tue Timofeev, Ilya, MS52, 1:15 Mon Slowinski, Piotr, MS144, 8:30 Thu Sukhinin, Alexey, MS106, 3:45 Tue Timofeyev, Ilya, MS52, 1:15 Mon Small, Michael, MS159, 1:15 Thu Sukhinin, Alexey, MS106, 3:45 Tue Timofeyev, Ilya, MS65, 3:45 Mon Small, Michael, MS159, 1:15 Thu Sukhinin, Alexey, MS119, 8:30 Wed Titi, Edriss S., MS26, 4:15 Sun Small, Michael, MS172, 3:45 Thu Sukhtaiev, Selim, MS58, 2:45 Mon Tobin, Rebecca, PP1, 8:30 Tue Smith, Lachlan, MS36, 5:15 Sun Sukhtayev, Alim, MS137, 4:45 Wed Todorov, Michail, MS106, 5:15 Tue Smith, Spencer A., CP6, 1:15 Tue Sun, Jie, MS148, 8:30 Thu tom Woerden, Henrik, MS177, 4:45 Thu Smug, Damian T., PP1, 8:30 Tue Sun, Jie, MS155, 1:15 Thu Topaz, Chad M., CP0, 4:45 Thu Snyder, Jordan, PP1, 8:30 Tue Sun, Jie, MS168, 3:45 Thu Topaz, Chad M., MS78, 8:30 Tue Socolar, Joshua, MS4, 9:45 Sun Surana, Amit, MS107, 4:15 Tue Totz, Jan, MS15, 2:45 Sun Solomon, Thomas H., MS143, 8:30 Thu Susuki, Yoshihiko, MS107, 3:45 Tue Touboul, Jonathan D., CP12, 1:55 Wed Sommerlade, Linda, PP1, 8:30 Tue Susuki, Yoshihiko, MS120, 8:30 Wed Towers, Sherry, MS178, 4:15 Thu Sorrentino, Francesco, MS122, 1:15 Wed Susuki, Yoshihiko, MS169, 3:45 Thu Treitman, Yosef M., MS15, 2:15 Sun Sorrentino, Francesco, MS122, 2:45 Svenkeson, Adam, MS169, 4:15 Thu Trivisa, Konstantina, MS109, 9:30 Wed Wed Swift, James, CP1, 2:15 Tue Tsaneva-Atanasova, Krasimira, MS99, Spano, Mark, MS34, 5:15 Sun Swigon, David, CP14, 1:55 Wed 5:15 Tue Spiller, Elaine, MT2, 1:15 Sun Swinton, Jonathan, MS77, 8:30 Tue Tsimring, Lev S., MS35, 3:45 Sun Spiller, Elaine, MT2, 1:15 Sun Swinton, Jonathan, MS90, 1:15 Tue Turitsyn, Konstantin, MS110, 9:00 Wed Spinello, Davide, CP8, 1:15 Wed Swinton, Jonathan, MS90, 1:45 Tue Tzou, Justin C., MS145, 9:00 Thu Stanislavova, Milena, MS103, 5:15 Tue Syme, Dayton, MS108, 5:15 Tue Tzou, Justin C., MS158, 1:15 Thu Stankovski, Tomislav, MS2, 8:45 Sun Szalai, Robert, MS113, 8:30 Wed Tzou, Justin C., MS171, 3:45 Thu Starosvetsky, Yuli, MS50, 8:30 Mon Szalai, Robert, MS113, 8:30 Wed Stechmann, Samuel, MS54, 1:45 Mon U Uchida, Atsushi, MS139, 3:45 Wed Steinbock, Oliver, MS33, 4:45 Sun T Ta, Ton V., CP8, 1:55 Wed Uchida, Atsushi, MS139, 3:45 Wed Stepan, Gabor, MS9, 8:15 Sun Talkachova, Alena, MS164, 1:45 Thu Ueda, Kei-Ichi, MS145, 8:30 Thu Stephen Tladi, Maleafisha, CP4, 1:35 Talmon, Ronen, MS79, 9:30 Tue Ulbrich, Dennis, PP1, 8:30 Tue Tue Tang, Evelyn, MS127, 1:15 Wed Ullah, Ghanim, MS14, 2:15 Sun Stevens Bester, Cacey, MS143, 9:00 Thu Tang, Evelyn, MS127, 1:15 Wed Utsey, Kiersten, PP1, 8:30 Tue Steyer, Andrew J., MS101, 4:15 Tue Tanzi, Matteo, MS73, 3:45 Mon Stieha, Christopher, MS48, 9:30 Mon V Tanzi, Matteo, MS86, 8:30 Tue Stinis, Panos, MS111, 10:00 Wed Vaienti, Sandro, MS104, 4:45 Tue Tanzi, Matteo, PP2, 8:30 Wed Stoica, Cristina, MS179, 4:15 Thu Vainchtein, Anna, MS7, 8:15 Sun Tao, Molei, MS153, 10:00 Thu Stone, Emily F., CP2, 1:55 Tue Vainchtein, Anna, MS19, 1:15 Sun Tao, Tianyu, PP2, 8:30 Wed Stuecker, Malte, MS129, 4:45 Wed Vainchtein, Dmitri, MS37, 4:15 Sun Tavakoli, Kourosh, CP9, 2:15 Wed Sturman, Rob, PP2, 8:30 Wed Vakakis, Alexander, MS19, 1:15 Sun Taylor, Dane, MS155, 1:15 Thu Su, Xin, PP1, 8:30 Tue Vakakis, Alexander, MS37, 3:45 Sun Taylor, Dane, MS155, 1:15 Thu Subramanian, Priya, MS4, 8:15 Sun Vakakis, Alexander, MS50, 8:30 Mon Taylor, Dane, MS168, 3:45 Thu Subramanian, Priya, MS4, 9:15 Sun Van Den Berg, Jan Bouwe, MS13, 1:15 Sun Teramoto, Takashi, MS45, 9:00 Mon Sudakov, Ivan, MS116, 9:00 Wed Van Den Berg, Jan Bouwe, MS13, 1:15 Terman, David H., MS81, 10:00 Tue Sudu Ambegedara, Amila N., PP1, 8:30 Sun Tue Thomas, Peter J., MS1, 9:15 Sun Van Den Berg, Jan Bouwe, MS25, 3:45 Sun Sugihara, George, MS61, 1:45 Mon Tian, Zhongqi, MS176, 5:15 Thu van Heijster, Peter, MS109, 10:00 Wed

Italicized names indicate session organizers 342 SIAM Conference on Applications of Dynamical Systems

van Heijster, Peter, MS154, 1:15 Thu Wang, Longsheng, MS119, 10:00 Wed Wu, Qiliang, MS114, 10:00 Wed van Heijster, Peter, MS167, 3:45 Thu Wang, Xingang, MS168, 4:15 Thu Wu, Qiliang, MS137, 3:45 Wed van Veen, Lennaert, MS47, 8:30 Mon Wang, Yangyang, MS99, 4:45 Tue Wu, Qiliang, MS150, 8:30 Thu van Veen, Lennaert, MS60, 1:15 Mon Wang, Yuncai, MS139, 4:15 Wed Wurm, Alexander, PP1, 8:30 Tue van Veen, Lennaert, MS60, 2:45 Mon Wang, Zhen, MS21, 1:15 Sun Wyatt, Madison, MS74, 4:15 Mon Van Vleck, Erik, MS70, 3:45 Mon Wang, Zhen, MS21, 1:15 Sun X Van Vleck, Erik, MS70, 5:15 Mon Wanner, Thomas, MS25, 4:15 Sun Xiao, Yangyang, MS27, 4:45 Sun Vanden-Eijnden, Eric, MS97, 4:15 Tue Ward, Daniel, MS136, 3:45 Wed Xie, Shuangquan, MS145, 10:00 Thu Varkonyi, Peter L., MS53, 2:45 Mon Ward, Daniel, MS136, 3:45 Wed Xu, Bin, MS11, 8:15 Sun Varszegi, Balazs, PP1, 8:30 Tue Ward, John P., MS88, 9:30 Tue Xu, Bin, MS11, 9:45 Sun Vavylonis, Dimitrios, MS11, 8:45 Sun Warren, William, MS87, 9:00 Tue Xu, Bin, MS23, 1:15 Sun Veerman, Frits, MS88, 8:30 Tue Watanabe, Takeshi, MS126, 2:15 Wed Xu, Haitao, MS19, 2:45 Sun Veerman, Frits, MS88, 8:30 Tue Weare, Jonathan, MS110, 8:30 Wed Xu, Hang, CP12, 2:55 Wed Veerman, Frits, CP5, 2:35 Tue Webber, Simon C., MS71, 3:45 Mon Xu, zhiqin J., MS163, 1:45 Thu Veltz, Romain, PP1, 8:30 Tue Webber, Simon C., MS71, 3:45 Mon Venkataramani, Shankar C., MS111, Wechselberger, Martin, MS170, 5:15 Y 9:00 Wed Thu Yamakou, Emar Marius, PP1, 8:30 Tue Venturi, Daniele, MS56, 1:45 Mon Wedgwood, Kyle, MS71, 4:15 Mon Yanchuk, Serhiy, MS149, 10:00 Thu Verschueren Van Rees, Nicolas, MS90, Wei, Ning, MS160, 1:15 Thu Yang, Jichen, PP2, 8:30 Wed 1:15 Tue Wei, Ning, MS173, 3:45 Thu Yang, Jinkyu, MS7, 8:15 Sun Vicol, Vlad C., MS54, 2:45 Mon Wei, Ning, MS173, 4:45 Thu Yang, Qian, PP1, 8:30 Tue Viero, Arturo, MS32, 4:15 Sun Weinberg, Seth, MS33, 3:45 Sun Yang, Vicky Chuqiao, PP2, 8:30 Wed Virkar, Yogesh, PP1, 8:30 Tue Weinberg, Seth, MS33, 3:45 Sun Yang, Xueshan, PP2, 8:30 Wed Vitelli, Vincenzo, MS7, 9:45 Sun Weinburd, Jasper, MS145, 9:30 Thu Ye, Xiaofeng, PP1, 8:30 Tue Vlasov, Vladimir, MS28, 5:15 Sun Wells, David, PP2, 8:30 Wed Yeaton, Isaac, PP2, 8:30 Wed Vo, Theodore, MS99, 4:15 Tue Welsh, Andrea J., MS130, 3:45 Wed Yochelis, Arik, MS105, 3:45 Tue Voliotis, Margaritis, MS46, 8:30 Mon Welsh, Andrea J., MS130, 4:45 Wed Yochelis, Arik, MS118, 8:30 Wed Voliotis, Margaritis, MS46, 8:30 Mon Welsh, Andrea J., MS143, 8:30 Thu Yochelis, Arik, MS118, 8:30 Wed Volkening, Alexandria, MS150, 9:30 Wen, Huanyu, MS94, 1:45 Tue Yoon, Nara, MS136, 4:45 Wed Thu Werner, Lucien D., PP2, 8:30 Wed Yorke, James A., MS59, 1:15 Mon Volpert, Vladimir A., MS161, 1:15 Thu White, Jane, MS22, 1:15 Sun Yorke, James A., MS59, 1:15 Mon Volpert, Vladimir A., MS174, 3:45 Thu Wickramasinghe, Shandeepa D., PP2, Yoshimura, Hiroaki, MS89, 9:00 Tue von Brecht, James, MS109, 8:30 Wed 8:30 Wed Young, Glenn S., PP1, 8:30 Tue W Widiasih, Esther, MS80, 8:30 Tue Young, Matthew, PP1, 8:30 Tue Wackerbauer, Renate A., CP2, 2:15 Tue Widiasih, Esther, MS80, 8:30 Tue Yuste, Santos B., MS161, 1:45 Thu Wakin, Michael B., MS140, 4:45 Wed Widiasih, Esther, MS93, 1:15 Tue Walsh, James, MS93, 1:15 Tue Wilson, Dan D., MS1, 8:15 Sun Z Zaburdaev, Vasily, MS161, 2:15 Thu Wan, Lin, CP8, 1:35 Wed Wilson, James, MS64, 4:15 Mon Zagaris, Antonios, MS43, 8:30 Mon Wang, Jintao, CP9, 2:35 Wed Worthington, Joachim, PP1, 8:30 Tue Zakharova, Anna, MS3, 8:15 Sun Wu, Hulin, MS178, 5:15 Thu

Italicized names indicate session organizers SIAM Conference on Applications of Dynamical Systems 343

Zakharova, Anna, MS15, 1:15 Sun Zakharova, Anna, MS62, 1:15 Mon Zaks, Michael, MS174, 4:45 Thu Zambrano, Samuel, CP8, 2:15 Wed Zavala, Eder, MS46, 8:30 Mon Zavala, Eder, CP5, 2:55 Tue Zavitz, Daniel R., PP1, 8:30 Tue Zaytseva, Sofya, PP2, 8:30 Wed Zeeman, Mary Lou, MS64, 4:45 Mon Zenkov, Dmitry, MS89, 10:00 Tue Zenkov, Dmitry, MS153, 8:30 Thu Zhang, Fumin, MS175, 4:45 Thu Zhang, He, MS124, 2:45 Wed Zhang, He, PP2, 8:30 Wed Zhang, Jun, MS139, 4:45 Wed Zhang, Li, MS31, 5:15 Sun Zhang, Mingji, MS42, 10:00 Mon Zhang, Xiyun, MS75, 4:45 Mon Zhang, Yaoyu, MS176, 4:45 Thu Zhang, Yiwei, MS63, 1:15 Mon Zhang, Yiwei, CP14, 1:35 Wed Zhao, Zhizhen, MS43, 9:30 Mon Zheng, Yayun, MS112, 8:30 Wed Zheng, Yayun, MS125, 1:15 Wed Zheng, Yayun, MS125, 2:45 Wed Zhong, Jun, PP2, 8:30 Wed Zhou, Douglas, MS27, 3:45 Sun Zhou, Douglas, MS27, 5:15 Sun Zhou, Douglas, MS40, 8:30 Mon Zmurchok, Cole, MS173, 5:15 Thu Zykov, Vladimir, MS108, 4:45 Tue

Italicized names indicate session organizers 344 SIAM Conference on Applications of Dynamical Systems

Notes SIAM Conference on Applications of Dynamical Systems 345

DS17 Budget

Conference Budget SIAM Conference on Dynamical Systems May 21-25, 2017 Snowbird, UT

Expected Paid Attendance 780

Revenue Registration Income $226,080 Total $226,080

Expenses Printing $6,900 Organizing Committee $6,500 Invited Speakers $21,100 Food and Beverage $41,700 AV Equipment and Telecommunication $27,600 Advertising $8,300 Conference Labor (including benefits) $53,775 Other (supplies, staff travel, freight, misc.) $15,600 Administrative $19,189 Accounting/Distribution & Shipping $10,488 Information Systems $19,284 Customer Service $7,226 Marketing $11,152 Office Space (Building) $7,371 Other SIAM Services $7,682 Total $263,867

Net Conference Expense -$37,787

Support Provided by SIAM $37,787 $0

Estimated Support for Travel Awards not included above:

Early Career and Students 55 $41,250 Snowbird Ski and Summer Resort

The Cliff Lodge Level B

The Cliff Lodge Level C