DOCSLIB.ORG

Tinglong Dai

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Tinglong Dai Tinglong Dai Johns Hopkins University Office: Legg Mason 1224 Carey Business School Phone: (410) 234-9415 100 International Drive Website: tinglongdai.com Baltimore, MD 21202 Email: [email protected] Academic Experience Johns Hopkins University, Carey Business School Associate Professor, 2018–present Assistant Professor, 2013–2018 Education Carnegie Mellon University, Tepper School of Business Ph.D. in Industrial Administration, Operations Management/Robotics, 2013 Dissertation: Incentives in U.S. Healthcare Operations Committee: Sridhar Tayur (chair), Katia Sycara (chair), Mustafa Akan, Soo-Haeng Cho, Kinshuk Jerath, R. Ravi Master of Science in Industrial Administration, 2009 Hong Kong University of Science & Technology Master of Philosophy in Industrial Engineering & Engineering Management, 2006 Advisor: Xiangton Qi; Committee Chair: Jeff L. Hong Tongji University, Shanghai, China Bachelor of Engineering in Automation, 2004 Honors & Awards Management Science Distinguished Service Award, 2018 Dean’s Award for Faculty Excellence, 2016, 2017, 2018 INFORMS Public Sector Operations Research Best Paper Award, 2017 Manufacturing & Service Operations Management (M&SOM) Meritorious Service Award, 2016, 2017 Johns Hopkins Discovery Award, 2015–2016 POMS College of Healthcare Operations Management Best Paper Award, 2012 POMS College of Healthcare Operations Management Best Healthcare Paper Award, Runner-Up, 2016 INFORMS Pierskalla Award for the Best Paper in Healthcare, Runner-Up, 2012 POMS College of Supply Chain Management Best Student Paper Award, Honorable Mention, 2013 INFORMS Case Competition, Second Place, 2012 The Ninth POMS-HK International Conference, Best Student Paper Award, Honorable Mention, 2018 IBM Service Science Best Student Paper Award, Finalist, 2017 Elwood S. Buffa Doctoral Dissertation Award, Finalist, 2014 Lee B. Lusted Student Research Paper Award, Finalist, 2012 William Larimer Mellon Fund Doctoral Fellowship, Tepper School of Business, 2007–2013 Tinglong Dai 2 Book Tinglong Dai, Sridhar Tayur (Eds). 2018. Handbook of Healthcare Analytics: Theoretical Minimum for Con- ducting 21st Century Research on Healthcare Operations. Hoboken, NJ: John Wiley & Sons. ISBN: 978-1- 119-30094-6. Journal Publications Ying-Ju Chen, Tinglong Dai, C. Gizem Korpeoglu, Ersin Körpeo˘glu, Ozge Sahin, Christopher S. Tang, Shihong Xiao. 2018. Innovative Online Platforms: Research Opportunities. Manufacturing & Service Operations Management. Forthcoming. Tinglong Dai, Mustafa Akan, Sridhar Tayur. 2017. Imaging Room and Beyond: The Underlying Economics behind Physicians’ Test-Ordering Behavior in Outpatient Services. Manufacturing & Service Operations Man- agement 19(1) 99–113. Ronghuo Zheng, Tinglong Dai, Katia Sycara, Nilanjan Chakraborty. 2016. Automated Multilateral Negotiation on Multiple Issues with Private Information. INFORMS Journal on Computing 28(4) 612–628. Tinglong Dai, Soo-Haeng Cho, Fuqiang Zhang. 2016. Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain. Manufacturing & Service Operations Management 18(3) 332–346 (Feature Article). Tinglong Dai, Kinshuk Jerath. 2016. Impact of Inventory on Quota-Bonus Contracts with Rent Sharing. Operations Research 64(1) 94–98. Tinglong Dai, Kinshuk Jerath. 2013. Salesforce Compensation with Inventory Considerations. Management Science 59(11) 2490–2501. Tinglong Dai. 2015. Incentives in U.S. Healthcare Operations. Decision Sciences 46(2) 455–463. Tinglong Dai, Zhaolin Li, Daewon Sun. 2012. Equity-based Incentives and Supply Chain Buy-Back Contracts. Decision Sciences 43(4) 661–686. Tinglong Dai, Xiangtong Qi. 2007. An Acquisition Policy for a Multi-supplier System with a Finite Time Horizon. Computers & Operations Research 34(9) 2758–2773. Book Chapters Tinglong Dai. 2018. Game Theory and Information Economics. In Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations. T. Dai and S. Tayur (Eds). Hoboken, NJ: John Wiley & Sons, 337–354. Tinglong Dai, Sridhar Tayur. 2017. The Evolutionary Trends of POM Research in Manufacturing. In Routledge Companion to Production and Operations Management. M. Starr and S. Gupta (Eds). London: Routledge, 647–662. Katia Sycara, Tinglong Dai. 2014. An Overview of Argumentation-Based Negotiation Theory and Decision Support Systems. In Negotiation and Argumentation in Multi-agent Systems. F. Lopes and H. Coelho (Eds). Bussum, Netherlands: Bentham Science Publishers, 126–148. Nazli Turan, Tinglong Dai, Katia Sycara, Laurie Weingart. 2013. Toward a Unified Negotiation Framework: Leveraging Strengths in Behavioral and Computational Communities. In Models for Inter-Cultural Collabora- tion and Negotiation. M. Gelfand and K. Sycara (Eds). New York: Springer, 53–66. Katia Sycara, Tinglong Dai. 2010. Agent Reasoning in Negotiation. In Handbook of Group Decision and Negotiation. M. Kilgour and C. Eden (Eds.). New York: Springer, 437–451. Papers under Review or Revision Tinglong Dai, Rongzhu Ke, Christopher T. Ryan. Incentive Design for Operations-Marketing Multitasking Tinglong Dai 3 Tinglong Dai, Kinshuk Jerath. Salesforce Contracting under Uncertain Demand and Supply Tinglong Dai, Ronghuo Zheng, Katia Sycara. Jumping the Line, Charitably: Analysis and Remedy of Donor- Priority Rule Tinglong Dai, Shubhranshu Singh. Conspicuous by Its Absence: Diagnostic Expert Testing under Uncertainty Tinglong Dai, Sridhar Tayur. Healthcare Operations in the Twenty-First Century Tinglong Dai, Xiaofang Wang, Chao-Wei Hwang. Clinical Ambiguity and Conflicts of Interests in Interven- tional Cardiology Decision-Making Xuchuan Yuan, Tinglong Dai, Lucy G. Chen, Srinagesh Gavirneni. Co-opetition in Services with Waiting-Area Entertainment Yifu Li, Tinglong Dai, Xiangtong Qi. Service Design under Acclimation and Non-homogeneous Memory Decay Selected Work in Progress Batching for Simultaneous Offering, with Ronghuo Zheng Sequential Screening on a Matching Platform, with Ozge Sahin and Christopher S. Tang Refereed Conference Proceedings Tinglong Dai, Ronghuo Zheng, Katia Sycara. 2017. Jumping the Line, Charitably: Analysis and Remedy of Donor-Priority Rule. In Proceedings of 2017 MSOM Conference Healthcare SIG, Chapel Hill. Tinglong Dai, Xiaofang Wang, Chao-Wei Hwang. 2016. Clinical Ambiguity and Conflicts of Interests in In- terventional Cardiology Decision-Making. In Proceedings of 2016 MSOM Conference Healthcare SIG, Auckland, New Zealand. Ronghuo Zheng, Nilanjan Chakraborty, Tinglong Dai, Katia Sycara. 2013. Multiagent Negotiation on Multiple Issues with Incomplete Information. Extended abstract in the Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems: AAMAS’13, 1279–1280. Ronghuo Zheng, Nilanjan Chakraborty, Tinglong Dai, Katia Sycara, Michael Lewis. 2013. Automated Bilateral Multiple-issue Negotiation with No Information about Opponent. In Proceedings of the 46th Hawaii Interna- tional Conference on System Sciences: HICSS-46, 520–527. Ying Xu, Tinglong Dai, Katia Sycara, Michael Lewis. 2012. A Mechanism Design Model in Multi-robot Service Queues with Strategic Operators and Asymmetric Information. In Proceedings of the 51st IEEE Conference on Decision and Control: CDC’12, 6113–6119. Victor Sanchez-Anguix, Tinglong Dai, Zhaleh Semnani-Azad, Katia Sycara, Vicente Botti. 2012. Modeling Power Distance and Individualism/Collectivism in Negotiation Team Dynamics. In Proceedings of the 45th Hawaii International Conference on System Sciences: HICSS-45, 628–637. Tinglong Dai, Katia Sycara, Michael Lewis. 2011. A Game Theoretic Queueing Approach to Self-assessment in Decentralized Human-Robot Interaction Systems. In Proceedings of 2011 IEEE International Conference on Robotics and Automation: ICRA’11, 58–63. Tinglong Dai, Mustafa Akan, Sridhar Tayur. 2011. Imaging Room and Beyond: The Underlying Economics behind Physicians’ Test-Ordering Behavior in Outpatient Services. In Proceedings of 2012 MSOM Conference Healthcare SIG, Ann Arbor, MI. Ying Xu, Tinglong Dai, Katia Sycara, Michael Lewis. 2010. Service Level Differentiation in Multi-robots Con- trol. In Proceedings of 2010 IEEE International Conference on Intelligent Robots and Systems: IROS’10, 2224–2230. Tinglong Dai 4 Teaching Materials Tinglong Dai, Sridhar Tayur, Joshua Rheibolt, Robert Noecker. 2016. Patient Experience Improvement at UPMC Eye Center. Operations Management Education Review 10 5–36. Tinglong Dai. 2013. Teaching Note for “Managing Inventory,” Harvard Business School Operations Manage- ment Core Curriculum. Research Grants The Johns Hopkins Discovery Award (2015–2017) Principal Investigator for “Clinical Decision Ambiguity and Conflicts of Interests on Decision-Making in the Cardiac Catheterization Laboratory: A Stochastic Decision Theoretical Approach,” co-PI: Chao-Wei Hwang, M.D., $99,370 Invited Seminars Cornell University, SC Johnson College of Business, Oct. 2018 (scheduled) Boston College, Carroll School of Management, Sept. 2018 University of Texas at Dallas, Naveen Jindal School of Management, Sept. 2018 University of Virginia, Darden School of Business, Mar. 2018 Georgia Institute of Technology, H. Milton Stewart School of Industrial and Systems Engineering, Dec. 2017 Carnegie Mellon University, Tepper School of Business, Nov. 2017 Georgetown University, McDonough School of Business, Oct. 2017 University of Chicago, Booth School of Business, Sept. 2017 Cardiff University, School of Mathematics, Aug. 2017 University of British Columbia, Sauder School of Business, Apr. 2017 Chinese University of
Load more

Recommended publications
  • Management and Business Review (MBR) Mission, Plan, and Call for Papers
    Management and Business Review (MBR) Mission, Plan, and Call for Papers We are happy to announce the upcoming launch of a new journal, Management and Business Review (MBR). The mission of MBR is to disseminate knowledge that advances management practice and improves the world. We will publish MBR in print as well as online. Visit our website www.mbrjournal.com In contrast to the Harvard Business Review (HBR), which is published by a single school, MBR is the result of a grassroots initiative with a wide participation by many schools and companies. Please see a story on MBR in Forbes: https://www.forbes.com/sites/poetsandquants/2019/10/25/profs-plan-a-rival-to-the-harvard- business-review/#1f1cb0ae10dc We will publish MBR’s first issue of the inaugural volume in August 2020 and the second issue in November 2020. We will distribute their complimentary digital copies to millions of readers. We will share these issues with you so you can share them with anyone you like. Please register yourself, your colleagues in your organization or other organizations, including your dean or your company head, at www.mbrjournal.com so that we can send all of you complimentary digital copies of the four 2020 issues of MBR and share with you more information on MBR. If you have too many email addresses to register manually, you can send them to Kalyan Singhal at [email protected], and we will register them. Next month, we will send an e-mail to the community describing how MBR can help every business school to enhance its brand and strengthen its relationships with alumni and the business community.
    [Show full text]
  • 47-779. Quantum Integer Programming
    47-779. Quantum Integer Programming Mini-1, Fall 2020 Room: Zoom Online Time: Tuesday and Thursday 5:20pm-7:10pm Instructors: Sridhar Tayur Email: [email protected] Office: 4216 Tepper Quad Davide Venturelli Email: [email protected] Office: Online David E. Bernal Email: [email protected] Office: 3116 Doherty Hall Office Hours: Post your questions in the forum provided for this purpose on Canvas. This course will be conducted online. Objectives: This course is primarily designed for graduate students (and advanced undergraduates) in- terested in integer programming (with non-linear objective functions) and the potential of near-term quan- tum and quantum-inspired computing for solving combinatorial optimization problems. By the end of the semester, someone enrolled in this course should be able to: • Appreciate the current status of quantum computing and its potential use for integer programming • Access and use quantum computing resources (such as D-Wave Quantum Annealers) • Set up a given integer program to be solved with quantum computing • Work in groups collaboratively on a state-of-the-art project involving applications of quantum com- puting and integer programming This course is not going to focus on the following topics: • Quantum Gates and Circuits • Computational complexity theory • Quantum Information Theory • Analysis of speedup using differential geometry, algebraic topology, etc. Prerequisite classes and capabilities: Although this class has no explicit prerequisites we consider a list of recommended topics and skills that the student should feel comfortable with. An undergraduate-level understanding of probability, calculus, statistics, graph theory, algorithms, and linear algebra is assumed. Knowledge of linear and integer programming will be useful for this course.
    [Show full text]
  • 08 Sridhar Tayur.Pmd
    ARTICLE WHEN BUSINESS MANAGEMENT MEETS QUANTUM COMPUTATION SRIDHAR TAYUR* A short conversation on May 13, 2019, of the author with his students and fellow colleagues on the topic. Q: Congratulations on being elected University Google have announced that devices with more qubits and Professor. In your quote that was part of the University better connectivity will be available by the end of the year. Professor announcement, you mentioned quantum The hardware on AQC paradigm from D-Wave computing (QC). Now that sounds very different from (Chimera architecture) is a bit more mature, and their next your research in supply chains and healthcare version (Pegasus) slated to be available soon appears even operations. How does QC fit in with your research more so. Our experience with Chimera (and outlook based interests? on Pegasus) is presented in our paper: Graver Bases via A: Actually, it is very much in line with my core Quantum Annealing with Application to Non-Linear Integer research interests of exploring new mathematics and Programs. (Link: https://arxiv.org/abs/1902.04215). Some technologies in search of very different types of algorithms instances of industrial problems that have resisted good to solve industrial scale problems faster. solutions by commercially available classical solvers are solvable on Chimera using our hybrid quantum-classical Q: Can you give a quick overview of quantum approach, and this is very encouraging as we know Pegasus computing landscape? can do so much more. A: The hardware for quantum computing (QC) is still Q: So how do you see your research plans in this not mature.
    [Show full text]
  • Srinagesh Gavirneni Samuel Curtis Johnson Graduate School of Management Cornell University Ithaca, NY 14853 (607)-254-6776 [email protected]
    Srinagesh Gavirneni Samuel Curtis Johnson Graduate School of Management Cornell University Ithaca, NY 14853 (607)-254-6776 [email protected] Education Carnegie Mellon University Doctor of Philosophy in Manufacturing and Operations Systems December 1997 (Thesis Title: Inventories in supply chains under cooperation ) Master of Science in Industrial Administration May 1994 Iowa State University Master of Science in Industrial and Manufacturing Systems Engineering May 1993 Indian Institute of Technology Bachelor of Technology in Mechanical Engineering August 1989 Work Experience Samuel Curtis Johnson Graduate School of Management, Cornell University (06/2004 – now) Kelley School of Business, Indiana University (08/2002 – 05/2004) SmartOps Corporation (02/2002 – 08/2002) Maxager Technology Inc . (02/2000 – 11/2001) Schlumberger Ltd. (09/1997 – 02/2000) Intel (09/1995 – 11/1995) Journal Publications 1. “Impact of Information Errors on Supply Chain Performance” with Jin Kyung Kwak. Journal of the Operational Research Scoiety. (Forthcoming). 2. “Transfer Pricing and Sourcing Strategies for Multinational Firms” with Masha Shunko and Laurens Debo. Production and Operations Management . (Forthcoming). 3. “Designing Dedicated Transportation Subnetworks: Design, Analysis, and Insights” with Tharanga Rajapakshe, Milind Dawande, Chelliah Sriskandarajah, and Rao Panchalavarapu, Production and Operations Management. (Forthcoming). 4. “A note on the effectiveness of scheduled balanced ordering in a one-supplier two-retailer system with uniform end-customer demands” with Lucy G. Chen, International Journal of Production Economics , Vol. 146, No. 1, 2013, pp. 240-245. 5. “Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries” with Milind Dawande, Mili Mehrotra and Vijay Mookerjee, Manufacturing and Service Operations Management, Vol. 15, No.
    [Show full text]
  • Areas of Interest Education Employment Publications/Accepted
    MILI MEHROTRA Assistant Professor Carlson School of Management, The University of Minnesota Phone: (972)-900-2998, Email: [email protected] Areas of Interest Research: Socially-Responsible Operations, Health Care Operations, Supply Chain Analytics, Supply Chain Management, Discrete Models in Operations Management; in particular, Service Operations, Production Planning, and Logistics Teaching: Operations Management, Supply Chain Management, Logistics/Distribution, Probabil- ity and Statistics, and Quantitative Methods Education The University of Texas at Dallas, Richardson, TX 2010 PhD, Operations Management The University of Texas at Dallas, Richardson, TX 2010 MS, Supply Chain Management Banaras Hindu University, Varanasi, India 2002 MS, Mathematics Banaras Hindu University, Varanasi, India 2000 BS, Mathematics Employment Assistant Professor, Carlson School of Management, The University of Minnesota, August 2010 { Present. Publications/Accepted Papers Jason Nguyen, Karen Donohue, Mili Mehrotra, \Closing a Supplier's Energy Efficiency Gap: The Role of Assessment Assistance and Procurement Commitment." Accepted, Management Science, 2017. - Accepted for Presentation at MSOM Sustainable Operations SIG Conference, June 2015. - Extended Abstract Accepted, MSOM Society Conference, June 2014. Diwakar Gupta, Mili Mehrotra, \Bundling Payments for Healthcare Services: Proposer Selection and Information Sharing," Operations Research, Vol. 63, No. 4, July 2015, pp. 772-788. - Finalist, Best Paper Award, Healthcare Operations Management Track, College of Healthcare Operations Management, Production and Operations Management, 2015. - Extended Abstract Accepted, Indian School of Business - POMS Workshop, Dec 2014. - Extended Abstract Accepted, MSOM Healthcare Operations Management SIG Conference, June 2014. Milind Dawande, Srinagesh Gavirneni, Mili Mehrotra, Vijay Mookerjee, “Efficient Distribution of Water Between Head-Reach and Tail-End Farms in Developing Countries," Manufacturing and Service Operations Management, Vol.
    [Show full text]
  • Curriculum Vitae
    Tinglong Dai Johns Hopkins University Office: Legg Mason 1219 Carey Business School Phone: (412) 256-8188 100 International Drive Website: tinglongdai.com Baltimore, MD 21202 Email: [email protected] Academic Positions Johns Hopkins University, Carey Business School Professor, 2021–present Associate Professor, 2018–2021 Assistant Professor, 2013–2018 Hopkins Business of Health Initiative (HBHI) Core Faculty & Member of Leadership Team, 2020–present Johns Hopkins University, School of Nursing Affiliated Faculty, 2018–present Johns Hopkins University, Institute for Data-Intensive Engineering and Science (IDIES) Member of Executive Committee, 2020–present Affiliated Faculty, 2019–present Education Carnegie Mellon University, Tepper School of Business Ph.D. in Industrial Administration, Operations Management/Robotics, 2013 Dissertation: Incentives in U.S. Healthcare Operations Committee: Sridhar Tayur (chair), Katia Sycara (chair), Mustafa Akan, Soo-Haeng Cho, Kinshuk Jerath, & R. Ravi M.S. in Industrial Administration, 2009 Hong Kong University of Science & Technology M.Phil. in Industrial Engineering & Engineering Management, 2006 Advisor: Xiangton Qi; Committee Chair: Jeff L. Hong Tongji University B.Eng. in Automation, 2004 Honors & Awards The World’s Best 40 Under 40 MBA Professors, Poets & Quants, 2021 Johns Hopkins Global MBA Graduation Keynote Speaker, 2021 Management Science Distinguished Service Award, 2018, 2019, 2020, 2021 Tinglong Dai 2 Johns Hopkins Discovery Award, 2020 Wickham Skinner Early Career Award, Runner-Up, 2020 Manufacturing
    [Show full text]
  • Dai and Tayur
    The Evolutionary Trends of POM Research in Manufacturing Tinglong Dai, Johns Hopkins University Sridhar Tayur, Carnegie Mellon University Suggested Reference: Tinglong Dai, Sridhar Tayur. 2017. The Evolutionary Trends of POM Research in Manufacturing. In Routledge Companion to Production and Operations Management. M. Starr and S. Gupta (Eds), pp. 647–662. London, U.K: Routledge. 1 Chapter 37 The Evolutionary Trends of POM Research in Manufacturing Tinglong Dai and Sridhar Tayur 1 Introduction: Creating Wealth and Happiness, Massively What are we talking about when we speak of “manufacturing”? The U.S. Census Bureau defines the manufacturing sector as the collection of “establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products,” which does not seem satisfying to readers who wonder: What exactly is the purpose of manufacturing? Manufacturing has created wealth and happiness in a massive way, and has been responsible for achieving a global improvement in the quality of human life. In his "Report on Manufactures" (1791, p. 240), Alexander Hamilton wrote that: Not only the wealth; but the independence and security of a Country, appear to be materially connected with the prosperity of manufactures. Every nation, with a view to those great objects, ought to endeavour to possess within itself all the essentials of national supply. These comprise the means of subsistence, habitation, clothing, and defence. The simultaneously complementary and substitutive relationship between manufacturing, technology, labor, and capital complicates the situation. The manufacturing sector contributed to just 11% of the value added to U.S. GDP in 2012, a significant decline from 25% in 1970.
    [Show full text]
  • Sridhar Tayur Ford Distinguished Research Chair University Professor of Operations Management Carnegie Mellon University Sridhar
    Sridhar Tayur Ford Distinguished Research Chair University Professor of Operations Management Carnegie Mellon University Sridhar Tayur is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. He received his Ph.D. in Operations Research and Industrial Engineering from Cornell University and his undergraduate degree in Mechanical Engineering from the Indian Institute of Technology (IIT) at Madras (where he is a Distinguished Alumnus Award winner). He is an INFORMS Fellow, a Distinguished Fellow of MSOM Society and has been elected to the National Academy of Engineering (NAE). He has been a visiting professor at Cornell, MIT and Stanford. Academic: He has published in Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming, Stochastic Models, Queuing Systems, Transportation Science, POMS, IIE Transactions, NRLQ, Journal of Algorithms and MSOM Journal. He has served on the editorial boards of Operations Research, MSOM Journal, Management Science, IIE Transactions and POMS. He served as President of MSOM Society. He has co-edited Quantitative Models for Supply Chain Management (1998) and Handbook of Healthcare Analytics (2018). He has been a finalist for the Lanchester Prize and is an Edelman Laureate. He has won the Healthcare Best paper Award by POMS and the INFORMS Pierskalla Award for best paper in Healthcare. He has won the Gerald L. Thompson Teaching Award in the B.S. Business Administration Program, the George Leland Bach Excellence in Teaching Award given by MBA students, the INFORMS Teaching Case award, and has been named as a ‘Top Professor’ by Business Week. Consulting and Executive Education: He has consulted for startups (such as Massive Incorporated, acquired by Microsoft), several Fortune 500 companies – Intel, Deere, Caterpillar, ConAgra Foods for example – and has been a consultant to the firm of McKinsey & Company.
    [Show full text]
  • Springer.De Springer.Com
    ABABCCD springer.despringer.com Forthcoming Electromagnetic Radiation of Electrons in Periodic Structures Due March 2011 A. P. Potylitsyn, Tomsk Polytechnic University, Tomsk, Russia Features 7 Offers a unified description of electromagnetic radiation in periodic structures, both theory and experiments 7 Discusses radiation generated in periodic structures in detail, plus diffraction radiation from relativistic electrons 7 Presents Smith-Purcell radiation, radiation of fast electrons in laser flash fields, and polarization radiation excited by the Coulomb field of incident particles 7 Provides in-depth information on diffraction radiation from relativistic electrons Periodic magnetic structures (undulators) are widely used in accelerators to generate mono- chromatic undulator radiation (UR) in the range from far infrared to the hard X-ray region. Another periodic crystalline structure is used to produce quasimonochromatic polarized photon beams via the coherent bremsstrahlung mechanism (CBS). Due to such characteris- 2011. 250 p. 150 illus. (Springer Tracts tics as monochromaticity, polarization and adjustability, these types of radiation is of large in Modern Physics, Volume 243) interest for applied and basic research of accelerator-emitted radiation. The book provides a Hardcover detailed overview of the fundamental principles behind electromagnetic radiation emit- ISBN 978-3-642-19247-0 ted from accelerated charged particles (e.g. UR, CBS, radiation of fast electrons in Laser flash fields) as well as a unified description of relatively new radiation mechanisms which 7 approx. € 149,95 | £135.00 attracted great interest in recent years. This are the so-called polarization radiation excited 7 approx. * € (D) 160,45 | € (A) 164,94 | sFr 215,00 by the Coulomb field of incident particles in periodic structures, parametric X-rays, resonant transition radiation and the Smith-Purcell effect.
    [Show full text]
  • Sessions for Friday, May 05 1
    Sessions for Friday, May 05 Friday, 08:00 AM - 09:30 AM Friday, 08:00 AM - 09:30 AM, Evergreen A Track: Healthcare Operations Management Learning in Healthcare Organizations 1 Session: Chair(s): Lawrence Fredendall 073-0858 Technology Transition in Surgical Care: A Study of Robotic Surgical Procedures Ujjal Mukherjee, Assistant Professor, University of Illinois Urbana-Champaign, United States Kingshuk Sinha, Professor, University of Minnesota, United States New technology in healthcare improves quality and productivity. However, the benefits of new technology in healthcare are realized through doctors' learning the new technology. In this paper, we conduct an empirical field study of a hospital's strategy to successfully transition from manual laparoscopic surgical procedures to robotic surgical procedures. 073-0450 Multi-Year Model Predicting Patient Satisfaction Based on Wait Times Quinton Nottingham, Associate Professor, Virginia Polytechnic Institute And State University, United States Dana Johnson, Professor, Michigan Technological University, United States Roberta Russell, Professor, Virginia Polytechnic Institute And State University, United States The purpose of this research is to model the impact of waiting times in waiting and exam rooms as predictors of patient satisfaction using data collected over a 3- year period. Models will include wait times, clinic type, gender, age, and other variables to determine their impact on overall patient satisfaction. 073-0525 Lean and Six Sigma in Healthcare: The Imperfect Arbitrage Edward Anderson, Professor, University of Texas Austin, United States The implementation of lean and six sigma process improvement in healthcare has had some notable success, but successful implementation remains incomplete and spotty. We highlight the issues that cause this, particularly in clinics and primary practices and offer some solutions based on case studies.
    [Show full text]
  • Sridhar Tayur Is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’S Tepper School of Business
    Sridhar Tayur is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. He received his Ph.D. in Operations Research and Industrial Engineering from Cornell University and his undergraduate degree in Mechanical Engineering from the Indian Institute of Technology (IIT) at Madras (where he is a Distinguished Alumnus Award winner). He is an INFORMS Fellow, a Distinguished Fellow of MSOM Society and has been elected to the National Academy of Engineering (NAE). He has been a visiting professor at Cornell, MIT and Stanford. Academic: He has published in Operations Research, Management Science, Mathematics of Operations Research, Mathematical Programming, Stochastic Models, Queuing Systems, Transportation Science, POMS, IIE Transactions, NRLQ, Journal of Algorithms and MSOM Journal. He has served on the editorial boards of Operations Research, MSOM Journal, Management Science, IIE Transactions and POMS. He served as President of MSOM Society. He has co-edited Quantitative Models for Supply Chain Management (1998) and Handbook of Healthcare Analytics (2018). He has been a finalist for the Lanchester Prize and is an Edelman Laureate. He has won the Healthcare Best paper Award by POMS and the INFORMS Pierskalla Award for best paper in Healthcare. He has won the Gerald L. Thompson Teaching Award in the B.S. Business Administration Program, the George Leland Bach Excellence in Teaching Award given by MBA students, the INFORMS Teaching Case award, and has been named as a ‘Top Professor’ by Business Week. Consulting and Executive Education: He has consulted for startups (such as Massive Incorporated, acquired by Microsoft), several Fortune 500 companies – Intel, Deere, Caterpillar, ConAgra Foods for example – and has been a consultant to the firm of McKinsey & Company.
    [Show full text]
  • Quantum and Quantum-Inspired Methods for De Novo Discovery of Altered Cancer Pathways
    bioRxiv preprint doi: https://doi.org/10.1101/845719; this version posted November 17, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Quantum and Quantum-inspired Methods for de novo Discovery of Altered Cancer Pathways Hedayat Alghassi∗1, Raouf Dridiy1, A. Gordon Robertsonz2, Sridhar Tayur§1 1Quantum Computing Group, Tepper School of Business, Carnegie Mellon University 2Canada’s Michael Smith Genome Sciences Center, BC Cancer Agency November 17, 2019 Abstract The combinatorial calculations for de novo discovery of altered pathways in can- cer cohorts involve both coverage (i.e. recurrence) and mutual exclusivity, and solving mutual exclusivity problems is NP-hard for classical computers. Advances in quantum computing systems and our classical, quantum-inspired algorithm GAMA (Graver Aug- mented Multi-seed Algorithm) motivated us to revisit methods for identifying altered pathways. Using different types of quantum and classical algorithms, we report novel formulations of the problem that are tailored to these new computational models. Our formulations require fewer binary variables than available methods, and offer a tuning parameter that allows a trade-off between coverage and exclusivity; varying this param- eter returns a variety of solutions. We illustrate our formulations and methods with TCGA mutation data for Acute Myeloid Leukemia (AML). Both the D-Wave quan- tum annealing solver and the classical GAMA solver returned altered pathways that are known to be important in AML, with different tuning parameter values returning alternative altered pathways. Our reduced-variable algorithm and QUBO problem for- mulations demonstrate how quantum annealing-based binary optimization solvers can be used now in cancer genomics.
    [Show full text]