DOCSLIB.ORG

Sponsored by the IEEE Computer Society Visualization and Graphics

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Sponsored by the IEEE Computer Society Visualization and Graphics SponsoSponsorreed by thethe IEEE Computer SocietySociety Visualization and Graphics Technical Committee (V(VGGTTCC)) inin Cooperation with ACM SIGGRAPHSIGGRAPH WELCOME TABle OF CONteNTS Welcome to IEEE Visualization 2006, the 17th International About Baltimore ..................................................................................... 2 conference on visualization innovations and their applications! Map of Hotel ............................................................................................ 3 You have an exciting selection of technical forums at the IEEE Visualization conference, the symposium on Information Birds-of-a-Feather Board ...................................................................... 3 Visualization, and the newly established symposium on Visual Vis 2006 Conference At-A-Glance ..................................................4, 5 Analytics Science and Technology (VAST). Committee Members ........................................................................6, 7 This year we reflect upon our rich 17 year history and look for- VIs 2006 Tutorials and Workshops ................................... 8, 9, 11, 14 ward to issues of relevance in the future. The visualization field has become a recognized technology impacting all avenues Vis 2006 Conference Program .......................................................8-17 of life. Our invited speakers offer perspectives to guide your Vis Keynote.............................................................................................12 research, applications, and commercial opportunities. Vis Capstone ..........................................................................................17 This year the technical community offers workshops and InfoVis Symposium Program .................................................. 8, 10-12 tutorials for dedicated learning. The papers provide an inte- grated selection of outstanding research contributions and InfoVis Keynote ....................................................................................... 8 creative application papers. The panels discuss some of the VAST Symposium Program ....................................................12-14, 16 most pressing current topics. The posters allow for very current results to be presented in informal interactive sessions. The VAST Keynote .........................................................................................12 Visualization Contest fosters comparison of novel and estab- VIS/VAST PhD Colloquium .................................................................16 lished techniques and provides benchmarks for the community. Visualization Posters ....................................................................18, 19 The Scientific Animation Theater premieres this year with an exciting collection of film clips highlighting the best in scien- InfoVis Posters .......................................................................................18 tific visualization. These venues, combined with our exhibitors, Interactive Demonstration Lab ........................................................19 Interactive Demonstrations Laboratory, and Birds-of-a-Feather InfoVis, VAST, Vis Contest Results .....................................................19 sessions deliver a powerful Visualization 2006 experience in the heart of Baltimore’s Inner Harbor district. Vis 2007 Call for Participation ..........................................................10 Two receptions and numerous breaks have been scheduled Supporters and Exhibitors .................................................................20 throughout this week to allow time for you to interact with peers and colleagues. This is the place where government, How to Order Proceedings academic, industrial, and venture communities come together to meet and learn from each other and have fun! Additional copies of the Vis 2006 and InfoVis 2006 proceedings can be ordered from: Thank you for coming, and enjoy the conference! IEEE Computer Society Amitabh Varshney, University of Maryland By mail: 10662 Los Vaqueros Circle, Los Alamitos, CA 90720 Baoquan Chen, University of Minnesota at Twin Cities By phone: +1-800-CS-BOOKS, +1-714-821-8380 (direct) IEEE Visualization 2006 Conference Chairs By fax: +1-714-821-4641 By email: [email protected] By web: http://computer.org/cspress ABOUT BALTIMORE TVCG from the IEEE CS: IEEE Catalog Number: DVCG06 Visualization 2006 is located in the heart of Baltimore’s Inner Additional copies of the VAST 2006 proceedings can be ordered Harbor district, one of the oldest seaports in the United States from: tracing its beginnings to the 1700s. Over the last decade it has IEEE Service Center experienced a resurgence as the cultural center of the City. By mail: Some attractions in the immediate vicinity of the conference 445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331 hotel include the National Aquarium in Baltimore, the Mary- By phone: +1-800-678-IEEE, +1-732-981-0060 (direct) land Science Center, the Fort McHenry National Monument, By fax: +1-732-981-9667 and the Baltimore Maritime Museum. An extensive array of By email: [email protected] shopping and dining options are available at the Harborplace By web: http://shop.ieee.org and the Power Plant. The Harborplace includes two glass VAST 2006: IEEE Catalog Number: 06EX1507 enclosed pavilions with 30 informal eateries and over a dozen restaurants, accessible via a direct skyway from the hotel. IEEE Computer Society Other points of interest in Baltimore include Port Discovery, To become a member visit http://computer.org/join the Baltimore Museum of Art, the Baltimore and Ohio Railroad IEEE Visualization and Graphics Technical Committee Museum, and the Baltimore Civil War Museum. For information on awards, national initiatives, conferences For further details about the rich and vibrant history and hap- and symposia, and a comprehensive membership directory, penings in Baltimore visit www.baltimore.org and refer to the please visit http://tab.computer.org/vgtc. comprehensive guide of attractions. 2 MAP OF THE HYAtt REGENCY BAltimore SECOND FLOOR NORTH THIRD FLOOR NORTH EXTERIOR WALL S D N T MEN 3 PRATT CHARLES CAMDE CALVER CONSTELLATION BALLROOM LOMBAR WOMEN DOUGLAS FOYER B A PHONE 1 4 8 STORAGE OFFICE SERVICE COORIDOR MAIN LOBBY COFFEE BAR C D E F COAT ROOM SERVICE ATRIUM ESCALATORS FREIGHT ELEVATOR ALL MEETING ROOMS, RESTROOMS, ELEVATORS, AND TELEPHONES ARE WHEELCHAIR ACCESSIBLE STAIRS PHONES 9 10 MARYLAND SUITE HARBORVIEW ROOM BALTIMORE ANNAPOLIS FREDERICK COLUMBIA 7 2 5 6 KOSHER KITCHEN SECOND FLOOR SOUTH 1 Conference Registration 6 Scientific Animation Theater Located in the Foyer Located in Frederick and Columbia of the Maryland Suite Sunday-Thursday 7:30 a.m. – 5:00 p.m. Monday 7 p.m. – 9 p.m. Friday 7:30 a.m. – 1:30 p.m. Tuesday-Thursday 7:30 a.m. – 7 p.m. Friday 7:30 a.m. – 1:30 p.m. 2 Internet Access Located in Frederick and Columbia of the Maryland Suite 7 Exhibition Sunday 3 p.m. – 7 p.m. Located in Baltimore & Annapolis of the Maryland Suite Monday-Thursday 7:30 a.m. – 7 p.m. Tuesday 10 a.m. – 6 p.m. Friday 7:30 a.m. – 1:30 p.m. Wednesday 10 a.m. – 6:30 p.m. Thursday 10 a.m. – 1:30 p.m. 3 Speaker Preparation Located in the Charles Room 8 InfoVis Art Show Sunday-Thursday 7:30 a.m. – 5 p.m. Located in the Foyer Friday 7:30 a.m. – 10:30 a.m. Sunday-Tuesday 8:30 a.m. – 6 p.m. 4 Birds-of-a-Feather (BOF) Board 9 InfoVis Posters Check the board for times and locations. Located in the Harborview Room All conference attendees are welcome. Sunday 8:30 a.m. – 6 p.m. Monday 8:30 a.m. – 6 p.m , 7 p.m. – 9 p.m. 5 Interactive Demonstrations Lab Tuesday 8:30 a.m. – 6 p.m. Located in Frederick and Columbia of the Maryland Suite Monday 7 p.m. - 9 p.m. 10 Vis Posters Tuesday-Thursday, 3 p.m.-4 p.m. Located in the Harborview Room Wednesday 8:30 a.m. – 6 p.m., 7 p.m. – 9 p.m. Thursday-Friday 8:30 a.m. – 6 p.m. 3 INFOVIS 2006 AND VAST 2006 SYMPOSIA SUNDAY MONDAY TUESDAY 8:00 8:30 Blrm A Blrm C/D INFOVIS Blrm A INFOVIS Tutorial 3: Workshop Blrm B Tutorial 6: Blrm B (8:30am- 2: Geographic (8:30am- Overviews 9:00 Blrm A 5:30pm) (8:30am- Visualiza- 5:30pm) and Detail Harborview Harborview Tutorial 1: Harborview Illustrative 12:15pm) tion Texture (9:00am- Visual- Federal and 9:30 6:00pm) ization for Funding Feature- Visual Medicine 101 Based Flow Frederick/Columbia Medicine: 10:00 INFOVIS and Visualiza- Techniques, Blrm B Science Blrm C/D tion Constellations Hallway Foyer Hallway Constellations Constellations Hallway Foyer Hallway Constellations Applica- Foyer Hallway Constellations Workshop Introduc- break break 10:30 tions and tion, Blrm E/F 3: Blrm E/F Software Keynote, & Tutorial 4: (1:30pm- Blrm B Tutorial 7: Blrm B Papers Fast (8:30am- 5:15pm) Network (8:30am- Graph 11:00 Blrm E/F Forward 12:15pm) Grid-based 12:15pm) Tutorial 2: Visualiza- Drawing Level Set Visual- tion Color in Baltimore/Annapolis (1:30pm- Information 11:30 Methods ization 5:15pm) for Visual- Display Remote/ ization Collab- 12:00 orative Blrm E/F Blrm B TeraScale Tutorial 5: InfoVis 12:30 Visual- (1:30pm- lunch lunch Open ization 5:15pm) break break Meeting on the Experimen- 1:00 TeraGrid tal Design and lunch break 1:30 Blrm C/D Blrm B Analysis for Blrm B Blrm B VAST InfoVis Posters Posters InfoVis InfoVis Posters Posters InfoVis InfoVis Posters Posters InfoVis InfoVis Art Show InfoVis InfoVis Art Show InfoVis Workshop Graph Art Show InfoVis Human- Tree and InfoVis Blrm B 1: Exploration Subject Vis. Treemap Demo Lab Interactive
Load more

Recommended publications
  • Ways of Seeing Data: a Survey of Fields of Visualization
    • Ways of seeing data: • A survey of fields of visualization • Gordon Kindlmann • [email protected] Part of the talk series “Show and Tell: Visualizing the Life of the Mind” • Nov 19, 2012 http://rcc.uchicago.edu/news/show_and_tell_abstracts.html 2012 Presidential Election REPUBLICAN DEMOCRAT http://www.npr.org/blogs/itsallpolitics/2012/11/01/163632378/a-campaign-map-morphed-by-money 2012 Presidential Election http://gizmodo.com/5960290/this-is-the-real-political-map-of-america-hint-we-are-not-that-divided 2012 Presidential Election http://www.npr.org/blogs/itsallpolitics/2012/11/01/163632378/a-campaign-map-morphed-by-money 2012 Presidential Election http://www.npr.org/blogs/itsallpolitics/2012/11/01/163632378/a-campaign-map-morphed-by-money 2012 Presidential Election http://www.npr.org/blogs/itsallpolitics/2012/11/01/163632378/a-campaign-map-morphed-by-money Clarifying distortions Tube map from 1908 http://www.20thcenturylondon.org.uk/beck-henry-harry http://briankerr.wordpress.com/2009/06/08/connections/ http://en.wikipedia.org/wiki/Harry_Beck Clarifying distortions http://www.20thcenturylondon.org.uk/beck-henry-harry Harry Beck 1933 http://briankerr.wordpress.com/2009/06/08/connections/ http://en.wikipedia.org/wiki/Harry_Beck Clarifying distortions Clarifying distortions Joachim Böttger, Ulrik Brandes, Oliver Deussen, Hendrik Ziezold, “Map Warping for the Annotation of Metro Maps” IEEE Computer Graphics and Applications, 28(5):56-65, 2008 Maps reflect conventions, choices, and priorities “A single map is but one of an indefinitely large
    [Show full text]
  • Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles Tiffany Wun, Jennifer Payne, Samuel Huron, Sheelagh Carpendale
    Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles Tiffany Wun, Jennifer Payne, Samuel Huron, Sheelagh Carpendale To cite this version: Tiffany Wun, Jennifer Payne, Samuel Huron, Sheelagh Carpendale. Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles. Computer Graphics Forum, Wiley, 2016, Computer Graphics Forum, 35 (3), pp.111 - 120. 10.1111/cgf.12887. hal-01400906 HAL Id: hal-01400906 https://hal-imt.archives-ouvertes.fr/hal-01400906 Submitted on 10 Oct 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Eurographics Conference on Visualization (EuroVis) 2016 Volume 35 (2016), Number 3 K.-L. Ma, G. Santucci, and J. van Wijk (Guest Editors) Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles Tiffany Wun1, Jennifer Payne1, Samuel Huron1;2, and Sheelagh Carpendale1 1University of Calgary, Canada 2I3-SES, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, Paris, France Abstract Providing tools that make visualization authoring accessible to visualization non-experts is a major research challenge. Cur- rently the most common approach to generating a visualization is to use software that quickly and automatically produces visualizations based on templates. However, it has recently been suggested that constructing a visualization with tangible tiles may be a more accessible method, especially for people without visualization expertise.
    [Show full text]
  • Domain-Specific Programming Systems
    Lecture 22: Domain-Specific Programming Systems Parallel Computer Architecture and Programming CMU 15-418/15-618, Spring 2020 Slide acknowledgments: Pat Hanrahan, Zach Devito (Stanford University) Jonathan Ragan-Kelley (MIT, Berkeley) Course themes: Designing computer systems that scale (running faster given more resources) Designing computer systems that are efficient (running faster under constraints on resources) Techniques discussed: Exploiting parallelism in applications Exploiting locality in applications Leveraging hardware specialization (earlier lecture) CMU 15-418/618, Spring 2020 Claim: most software uses modern hardware resources inefficiently ▪ Consider a piece of sequential C code - Call the performance of this code our “baseline performance” ▪ Well-written sequential C code: ~ 5-10x faster ▪ Assembly language program: maybe another small constant factor faster ▪ Java, Python, PHP, etc. ?? Credit: Pat Hanrahan CMU 15-418/618, Spring 2020 Code performance: relative to C (single core) GCC -O3 (no manual vector optimizations) 51 40/57/53 47 44/114x 40 = NBody 35 = Mandlebrot = Tree Alloc/Delloc 30 = Power method (compute eigenvalue) 25 20 15 10 5 Slowdown (Compared to C++) Slowdown (Compared no data no 0 data no Java Scala C# Haskell Go Javascript Lua PHP Python 3 Ruby (Mono) (V8) (JRuby) Data from: The Computer Language Benchmarks Game: CMU 15-418/618, http://shootout.alioth.debian.org Spring 2020 Even good C code is inefficient Recall Assignment 1’s Mandelbrot program Consider execution on a high-end laptop: quad-core, Intel Core i7, AVX instructions... Single core, with AVX vector instructions: 5.8x speedup over C implementation Multi-core + hyper-threading + AVX instructions: 21.7x speedup Conclusion: basic C implementation compiled with -O3 leaves a lot of performance on the table CMU 15-418/618, Spring 2020 Making efficient use of modern machines is challenging (proof by assignments 2, 3, and 4) In our assignments, you only programmed homogeneous parallel computers.
    [Show full text]
  • Lecture 14: Evaluation the Perceptual Scalability of Visualization
    Readings Covered Further Readings Evaluation, Carpendale Evaluating Information Visualizations. Sheelagh Carpendale. Chapter in Task-Centered User Interface Design, Clayton Lewis and John Rieman, thorough survey/discussion, won’t summarize here Information Visualization: Human-Centered Issues and Perspectives, Chapters 0-5. Springer LNCS 4950, 2008, p 19-45. The challenge of information visualization evaluation. Catherine Plaisant. Lecture 14: Evaluation The Perceptual Scalability of Visualization. Beth Yost and Chris North. Proc. Advanced Visual Interfaces (AVI) 2004 Proc. InfoVis 06, published as IEEE TVCG 12(5), Sep 2006, p 837-844. Information Visualization Effectiveness of Animation in Trend Visualization. George G. Robertson, CPSC 533C, Fall 2011 Turning Pictures into Numbers: Extracting and Generating Information Roland Fernandez, Danyel Fisher, Bongshin Lee, and John T. Stasko. from Complex Visualizations. J. Gregory Trafton, Susan S. IEEE TVCG (Proc. InfoVis 2008). 14(6): 1325-1332 (2008) Kirschenbaum, Ted L. Tsui, Robert T. Miyamoto, James A. Ballas, and Artery Visualizations for Heart Disease Diagnosis. Michelle A. Borkin, Tamara Munzner Paula D. Raymond. Intl Journ. Human Computer Studies 53(5), Krzysztof Z. Gajos, Amanda Peters, Dimitrios Mitsouras, Simone 827-850. Melchionna, Frank J. Rybicki, Charles L. Feldman, and Hanspeter Pfister. UBC Computer Science IEEE TVCG (Proc. InfoVis 2011), 17(12):2479-2488. Wed, 2 November 2011 1 / 46 2 / 46 3 / 46 4 / 46 Psychophysics Cognitive Psychology Structural Analysis Comparative User
    [Show full text]
  • Scientific Visualization
    Report from Dagstuhl Seminar 11231 Scientific Visualization Edited by Min Chen1, Hans Hagen2, Charles D. Hansen3, and Arie Kaufman4 1 University of Oxford, GB, [email protected] 2 TU Kaiserslautern, DE, [email protected] 3 University of Utah, US, [email protected] 4 SUNY – Stony Brook, US, [email protected] Abstract This report documents the program and the outcomes of Dagstuhl Seminar 11231 “Scientific Visualization”. Seminar 05.–10. June, 2011 – www.dagstuhl.de/11231 1998 ACM Subject Classification I.3 Computer Graphics, I.4 Image Processing and Computer Vision, J.2 Physical Sciences and Engineering, J.3 Life and Medical Sciences Keywords and phrases Scientific Visualization, Biomedical Visualization, Integrated Multifield Visualization, Uncertainty Visualization, Scalable Visualization Digital Object Identifier 10.4230/DagRep.1.6.1 1 Executive Summary Min Chen Hans Hagen Charles D. Hansen Arie Kaufman License Creative Commons BY-NC-ND 3.0 Unported license © Min Chen, Hans Hagen, Charles D. Hansen, and Arie Kaufman Scientific Visualization (SV) is the transformation of abstract data, derived from observation or simulation, into readily comprehensible images, and has proven to play an indispensable part of the scientific discovery process in many fields of contemporary science. This seminar focused on the general field where applications influence basic research questions on one hand while basic research drives applications on the other. Reflecting the heterogeneous structure of Scientific Visualization and the currently unsolved problems in the field, this seminar dealt with key research problems and their solutions in the following subfields of scientific visualization: Biomedical Visualization: Biomedical visualization and imaging refers to the mechan- isms and techniques utilized to create and display images of the human body, organs or their components for clinical or research purposes.
    [Show full text]
  • Inviwo — a Visualization System with Usage Abstraction Levels
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL X, NO. Y, MAY 2019 1 Inviwo — A Visualization System with Usage Abstraction Levels Daniel Jonsson,¨ Peter Steneteg, Erik Sunden,´ Rickard Englund, Sathish Kottravel, Martin Falk, Member, IEEE, Anders Ynnerman, Ingrid Hotz, and Timo Ropinski Member, IEEE, Abstract—The complexity of today’s visualization applications demands specific visualization systems tailored for the development of these applications. Frequently, such systems utilize levels of abstraction to improve the application development process, for instance by providing a data flow network editor. Unfortunately, these abstractions result in several issues, which need to be circumvented through an abstraction-centered system design. Often, a high level of abstraction hides low level details, which makes it difficult to directly access the underlying computing platform, which would be important to achieve an optimal performance. Therefore, we propose a layer structure developed for modern and sustainable visualization systems allowing developers to interact with all contained abstraction levels. We refer to this interaction capabilities as usage abstraction levels, since we target application developers with various levels of experience. We formulate the requirements for such a system, derive the desired architecture, and present how the concepts have been exemplary realized within the Inviwo visualization system. Furthermore, we address several specific challenges that arise during the realization of such a layered architecture, such as communication between different computing platforms, performance centered encapsulation, as well as layer-independent development by supporting cross layer documentation and debugging capabilities. Index Terms—Visualization systems, data visualization, visual analytics, data analysis, computer graphics, image processing. F 1 INTRODUCTION The field of visualization is maturing, and a shift can be employing different layers of abstraction.
    [Show full text]
  • Stevens Dot Patterns for 2D Flow Visualization
    Stevens Dot Patterns for 2D Flow Visualization Laura G. Tateosian Brent M. Dennis Christopher G. Healey∗ Computer Science Department, North Carolina State University Figure 1: A Stevens-based dot pattern visualizing flow orientations in a 2D slice through a simulated supernova collapse Abstract comes from perceptual experiments designed to study how the hu- man visual system “sees” local orientation in a sparse collection of This paper describes a new technique to visualize 2D flow fields dots. Initial work by Glass suggested that a global autocorrelation with a sparse collection of dots. A cognitive model proposed by is used to identify orientation [Glass 1969; Glass and Perez 1973]. Kent Stevens describes how spatially local configurations of dots Later work by Stevens hypothesized that the orientation of virtual are processed in parallel by the low-level visual system to perceive lines between pairs of dots around a target position defines the lo- orientations throughout the image. We integrate this model into a cal orientation we perceive at that position [Stevens 1978]. This visualization algorithm that converts a sparse grid of dots into pat- distinction is important, because it implies that different types of terns that capture flow orientations in an underlying flow field. We flow patterns can be rapidly perceived in different parts of a single describe how our algorithm supports large flow fields that exceed image (Fig. 1). Stevens presented both experimental results and a the capabilities of a display device, and demonstrate how to include software system to support his vision model. properties like direction and velocity in our visualizations.
    [Show full text]
  • Constructing Visual Representations: Investigating the Use of Tangible Tokens Samuel Huron, Yvonne Jansen, Sheelagh Carpendale
    Constructing Visual Representations: Investigating the Use of Tangible Tokens Samuel Huron, Yvonne Jansen, Sheelagh Carpendale To cite this version: Samuel Huron, Yvonne Jansen, Sheelagh Carpendale. Constructing Visual Representations: Investigating the Use of Tangible Tokens. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE), 2014, Transactions on Vi- sualization and Computer Graphics, 20 (12), pp.1. <10.1109/TVCG.2014.2346292>. <hal- 01024053> HAL Id: hal-01024053 https://hal.inria.fr/hal-01024053 Submitted on 1 Aug 2014 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. Constructing Visual Representations: Investigating the Use of Tangible Tokens Samuel Huron, Yvonne Jansen, Sheelagh Carpendale Fig. 1. Constructing a visualization with tokens: right hand positions tokens, left hand points to the corresponding data. Abstract—The accessibility of infovis authoring tools to a wide audience has been identified as a major research challenge. A key task in the authoring process is the development of visual mappings. While the infovis community has long been deeply interested in finding effective visual mappings, comparatively little attention has been placed on how people construct visual mappings. In this paper, we present the results of a study designed to shed light on how people transform data into visual representations.
    [Show full text]
  • Sheelagh Carpendale
    CURRICULUM VITAE Sheelagh Carpendale Full Professor NSERC/SMART Industrial Research Chair: Interactive Technologies Director: Innovations in Visualization (InnoVis) Co-Director: Interactive Experiences Lab (ixLab) Office: TASC1 9233 Lab: ixLab TASC1 9200 School of Computing Science Simon Fraser University 8888 University Drive Burnaby, British Columbia Canada V5A 1S6 Phone: +1 778 782 5415 Email: [email protected] Web: https:// www.cs.sfu.ca/~sheelagh/ TABLE OF CONTENTS 2 Executive Summary 5 Education 6 Awards 11 Research Overview 13 Employment and Appointments 16 Teaching and Supervision 25 Technology Transfer 27 Grants 31 Service 36 Presentations 44 Publications Sheelagh Carpendale Executive Summary Brief Biography (in 3rd person) Sheelagh Carpendale is a Professor at Simon Fraser University (SFU). She directs the InnoVis (Innovations in Visualization) research group and the newly formed ixLab (Interactive Experiences Lab). Her NSERC/SMART Industrial Research Chair in Interactive Technologies is still current. She has been awarded the IEEE VGTC Visualization Career Award (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8570932 ) and is inducted into both the IEEE Visualization Academy (highest and most prestigious honor in the field of visualization) and the ACM CHI Academy, which is an honorary group of individuals who are the principal leaders of the field having led the research and/or innovation in human-computer interaction (https://sigchi.org/awards/sigchi-award-recipients/2018-sigchi-awards/) Formerly, she was at University
    [Show full text]
  • Flow Visualization of the Airwake Around a Model of a DD-963 Class Destroyer in a Simulated Atmospheric Boundary Layer
    Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1988 Flow visualization of the airwake around a model of a DD-963 class destroyer in a simulated atmospheric boundary layer. Johns, Michael K. http://hdl.handle.net/10945/23240 \f\$ NAVAL POSTGRADUATE SCHOOL Monterey, California j5*/% Flow Visualization of the Airwake Around a Model of a DD-963 Class Destroyer in a Simulated Atmospheric Boundary Layer by Michael K. Johns September 1988 Thesis Advisor: J. Val Healey Approved for public release; distribution is unlimited. T241983 Unclassified Security Classification of this page REPORT DOCUMENTATION PAGE la Report Security Classification Unclassified lb Restrictive Markings 2a Security Classification Authority 3 Distribution Availability of Report 2 b Declassification/Downgrading Schedule Approved for public release; distribution is unlimited. 4 Performing Organization Report Number(s) 5 Monitoring Organization Report Number(s) 6 a Name of Performing Organization 6b Office Symbol 7a Name of Monitoring Organization Naval Postgraduate School (If Applicable) 67 Naval Postgraduate School 6c Address (city, state, and ZIP code) 7b Address (city, state, and ZIP code) Monterey, CA 93943-5000 Monterey, CA 93943-5000 8a Name of Funding/Sponsoring Organization 8b Office Symbol 9 Procurement Instrument Identification Number (If Applicable) 8c Address (city, state, and ZIP code) 1 Source of Funding Numbers Program Element Number Project No | Task No I Work Unit Accession No 1 1 Title (Include Security Classification) FLOW VISUALIZATION OF THE AIRWAKE AROUND A MODEL OF A DD-963 CLASS DESTROYER IN A SIMULATED ATMOSPHERIC BOUNDARY LAYER 12 Personal Author(s) Johns, Michael K. 13a Type of Report 13b Time Covered 14 Date of Report (year, monlh.day) 15 Page Count Master's Thesis From To 1988, September 58 16 Supplementary Notation The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S.
    [Show full text]
  • Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
    Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting R.M. Kirby, H. Marmanis D.H. Laidlaw Division of Applied Mathematics Department of Computer Science Brown University Abstract rotational component of the flow. The latter is clearly demonstrated in Figure 1, where the rotational component is not apparent when We present a new visualization method for 2d flows which allows one merely views the velocity. us to combine multiple data values in an image for simultaneous In the same way that vorticity as a derived quantity provides viewing. We utilize concepts from oil painting, art, and design as us with additional information about the flow characteristics, other introduced in [1] to examine problems within fluid mechanics. We derived quantities such as the rate of strain tensor, the turbulent use a combination of discrete and continuous visual elements ar- charge and the turbulent current could be of equal use. Because the ranged in multiple layers to visually represent the data. The repre- examination of the rate of strain tensor, the turbulent charge and sentations are inspired by the brush strokes artists apply in layers to the turbulent current within the fluids community is relatively new, create an oil painting. We display commonly visualized quantities few people have ever seen visualizations of these quantities in well such as velocity and vorticity together with three additional math- known fluid mechanics problems. Simultaneous display of both ematically derived quantities: the rate of strain tensor (defined in the velocity and quantities derived from it is done both to allow the section 4), and the turbulent charge and turbulent current (defined fluids’ researcher to examine these new quantities against the can- in section 5).
    [Show full text]
  • The Mission of IUPUI Is to Provide for Its Constituents Excellence in  Teaching and Learning;  Research, Scholarship, and Creative Activity; and  Civic Engagement
    INFO H517 Visualization Design, Analysis, and Evaluation Department of Human-Centered Computing Indiana University School of Informatics and Computing, Indianapolis Fall 2016 Section No.: 35557 Credit Hours: 3 Time: Wednesdays 12:00 – 2:40 PM Location: IT 257, Informatics & Communications Technology Complex 535 West Michigan Street, Indianapolis, IN 46202 [map] First Class: August 24, 2016 Website: http://vis.ninja/teaching/h590/ Instructor: Khairi Reda, Ph.D. in Computer Science (University of Illinois, Chicago) Assistant Professor, Human–Centered Computing Office Hours: Mondays, 1:00-2:30PM, or by Appointment Office: IT 581, Informatics & Communications Technology Complex 535 West Michigan Street, Indianapolis, IN 46202 [map] Phone: (317) 274-5788 (Office) Email: [email protected] Website: http://vis.ninja/ Prerequisites: Prior programming experience in a high-level language (e.g., Java, JavaScript, Python, C/C++, C#). COURSE DESCRIPTION This is an introductory course in design and evaluation of interactive visualizations for data analysis. Topics include human visual perception, visualization design, interaction techniques, and evaluation methods. Students develop projects to create their own web- based visualizations and develop competence to undertake independent research in visualization and visual analytics. EXTENDED COURSE DESCRIPTION This course introduces students to interactive data visualization from a human-centered perspective. Students learn how to apply principles from perceptual psychology, cognitive science, and graphics design to create effective visualizations for a variety of data types and analytical tasks. Topics include fundamentals of human visual perception and cognition, 1 2 graphical data encoding, visual representations (including statistical plots, maps, graphs, small-multiples), task abstraction, interaction techniques, data analysis methods (e.g., clustering and dimensionality reduction), and evaluation methods.
    [Show full text]