INFORMS Open Forum

  • 1.  I-Sim Elections

    Posted 8 days ago
    Edited by Xiaowei Zhang 7 days ago

    I-Sim is holding elections for the following offices:

    • Vice-President/President-Elect
    • Secretary
    • Treasurer
    • Council (2 positions)

    The Vice-President / President-Elect serves for six years: two years as Vice-President, two years as President, and two years as Past President. The Secretary, Treasurer, and Council members all serve two-year terms. There are four council members in total, serving on a rotating basis (two elected each year). Per the I-Sim Bylaws, at least one council member elected during an even year must be from outside the United States. All positions start July 1, 2022.

    To vote in the election, please return the ballot below by e-mail to:

    Raghu Pasupathy (Purdue University)

    E-Mail: pasupath@purdue.edu

    The deadline to submit a ballot is June 20, 2022. Please include the words "I-Sim Ballot" in the subject line.

    The candidates are presented in alphabetical order.

    VICE-PRESIDENT/PRESIDENT ELECT (vote for one)
    _____________ Ilya Rhyzhov
    _____________ Enlu Zhou

    SECRETARY (vote for one)
    _____________ Henry Lam
    _____________ Eunhye Song

    TREASURER (vote for one)
    _____________ Yijie Peng
    _____________ Sara Shashaani

    COUNCIL (vote for up to two)

    _____________ Bahar Biller
    _____________ David Eckman
    _____________ Chang-han Rhee
    _____________ Zeyu Zheng


    Your vote will be kept confidential. Your e-mail address will serve as your signature.

    Candidate Biographies
    VICE-PRESIDENT/PRESIDENT ELECT

    Ilya O. Ryzhov is an Associate Professor of Operations Management in the Decision, Operations and Information Technologies department of the Robert H. Smith School of Business at the University of Maryland. His research primarily focuses on simulation optimization and statistical learning, with applications in business analytics, revenue management, and nonprofit/humanitarian operations. He is a coauthor of the book Optimal Learning (Wiley, 2012). His work was recognized in WSC's Best Theoretical Paper Award competition on three separate occasions (winner in 2012, finalist in 2009 and 2016), and he received I-SIM's Outstanding Publication Award in 2017. He served on the I-SIM Council during 2018-2019, and was I-SIM Secretary during 2020-2022.

    Enlu Zhou is an Associate Professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology. Her research interests include simulation, stochastic optimization, and stochastic control. Enlu has taught courses on Stochastic Processes, Simulation, Probabilistic Models, and Monte Carlo Methods. Enlu has served as the I-SIM Newsletter associate editor, as a member of the I-SIM Council, and as the secretary of the I-SIM Society. Enlu is a regular participant at the Winter Simulation Conference (WSC), was a proceedings editor of the 2016 WSC Proceedings, and served as a track coordinator of the Simulation Optimization track in 2011 and the Model Uncertainty and Robust Simulation track in 2020-2022. Enlu also served as the track coordinator of the Modeling and Simulation track at the IISE Annual Conference in 2012. Enlu has served and is currently serving as an associate editor of Journal of Simulation, IEEE Transactions on Automatic Control, and Operations Research. More information about Enlu Zhou can be found at her website: https://www.enluzhou.gatech.edu/.

    SECRETARY

    Henry Lam is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University. He received his PhD degree in statistics from Harvard University. Before joining Columbia, he was an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan and, before then, the Department of Mathematics at Boston University. Henry's research interests include Monte Carlo methods, uncertainty quantification, data-driven optimization and rare-event analysis. His works have been recognized by several venues such as the NSF CAREER Award, NSA Young Investigator Award, JP Morgan Chase Faculty Research Award, Adobe Faculty Research Award, and pa- per awards including WSC Best Theoretical Paper 2018, INFORMS Junior Faculty Interest Group Best Paper Competition (Second Prize in 2016 and Finalist in 2012), INFORMS George Nicholson Student Best Paper Competition (Honorable Mention in 2010), INFORMS Doing Good with Good OR Competition (Finalist by supervised student in 2021) and INFORMS Undergraduate Operations Research Prize (Finalist by supervised student in 2021). He serves on the editorial boards of Operations Research, INFORMS Journal on Computing, Applied Probability Journals, Stochastic Models, Manufacturing and Service Operations Management, and Queueing Systems, and as the Area Editor in Stochastic Models and Data Science in Operations Research Letters. Henry was a council member of the INFORMS Applied Probability Society in 2017-2019 and INFORMS Simulation Society in 2019-2021. He co-chaired the Applied Probability Cluster in INFORMS Annual Meeting 2018 and the Uncertainty Quantification and Robust Simulation Track in WSC 2019. He served on the organizing committee of I-SIM Workshop 2021 and program committees of WSC Analysis Methodology Track (2015, 2016, 2018, 2020, 2021), Simulation Optimization Track (2016, 2017, 2018, 2020, 2021) and Model Uncertainty and Robust Simulation Track (2020, 2021).

    Eunhye Song is the Harold and Inge Marcus Early Career Assistant Professor in Industrial and Manufacturing Engineering at the Penn State University. She earned her PhD degree in Industrial Engineering and Management Sciences at Northwestern University in 2017. Her research interests include design of simulation experiments, model risk quantification and simulation optimization. She won the Honorable Mention at the 2020 INFORMS JFIG Paper Competition and the NSF CAREER Award in 2021. She had served on the I-SIM's Underrepresented Minorities and Women Committee from 2018 to 2020, and on the organizing committee of the 2021 I-SIM Research Workshop. She is currently serving as an Associate Editor of the Simulation Area of INFORMS Journal on Computing and as a proceeding editor of the WSC 2022. She will be serving on the WSC 2023 registration committee.

    TREASURER

    Yijie Peng received his Ph.D. in Management Science from Fudan University in 2014 and his B.S. in Mathematics from Wuhan University in 2007. He is currently an Associate Professor in Guanghua School of Management at Peking University (PKU), and he's also affiliated to Institute of Artificial Intelligence and National Insti- tute of Healthcare Bigdata both at PKU. Yijie's research interests include stochastic simulation and optimization, artificial intelligence, and healthcare. He has published in high-quality journals including Operations Research, INFORMS Journal on Computing, and IEEE Transactions on Automatic Control, and won 2019 INFORMS Outstanding Simulation Publication Award from INFORMS Simulation Society. He serves as an Associate Editor for Asia-Pacific Journal of Operational Research and IEEE Control Systems Society. He has been actively attended Winter Simulation Conference and serves as a Proceedings Editor and track coordinator of Simulation and AI track for 2022 Winter Simulation Conference.

    Sara Shashaani is an Assistant Professor at Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. She received her Indus- trial Engineering Ph.D. degree in 2016 from Purdue University and has a master's and bachelor's degree in that discipline from Virginia Tech and Iran University of Science and Technology. Before joining the NC State faculty, she was a postdoctoral research fellow at the Department of Industrial and Operations Engineering of the University of Michigan. Her current research extends adaptive sampling strategies for simulation optimization, where the objective function is noisy and unknown, and derivative-free optimization, where no structure about the underlying function is known or available even with noise. She also studies using Monte Carlo methodology to improve probabilistic prediction modeling and feature selection for regression and classification problems.

    COUNCIL

    Bahar Biller is a Principal Operations Research Specialist at the Advanced Analytics Center of Excellence of SAS Institute. In this role, she collaborates with clients, prod- uct managers, and researchers to improve the efficiency and resiliency of industrial supply chains and healthcare and life sciences operations. Previous roles include Senior Operations Researcher at General Electric's Global Research Center and Associate Professor at Carnegie Mellon University's Tepper School of Business. Bahar received a National Science Foundation CAREER award in 2006 and the Presidential Early Career Award for Scientists and Engineers in 2007. She is a past-President of the INFORMS Simulation Society and the General Chair of Winter Simulation Conference 2023.

    David Eckman is an Assistant Professor in the Wm Michael Barnes '64 Department of Industrial and Systems Engineering at Texas A&M University. He received a Ph.D. in Operations Research in 2019 from Cornell University and was a postdoctoral research scholar at Northwestern University from 2019–2021. His research interests deal with optimization and output analysis for stochastic simulation models. He is a co-developer of SimOpt, a testbed of simulation optimization problems and solvers, and is a co-chair for the Analysis Methodology track for the 2022 Winter Simulation Conference. He received the Best Student Paper Award at the 2018 Winter Simulation Conference and his webpage is http://eckman.engr.tamu.edu/.

    Chang-Han Rhee is an Assistant Professor in Industrial Engineering and Manage- ment Sciences at Northwestern University. Before joining Northwestern University, he was a postdoctoral researcher in the Stochastics Group at Centrum Wiskunde & Informatica and Industrial & Systems Engineering and Biomedical Engineering at Georgia Tech. He received his Ph.D. in Computational and Mathematical Engineering from Stanford University. His research interests include stochastic simulation, applied probability, experimental design, and machine learning. He served on the editorial board of INFORMS Journal on Computing, WSC PhD Colloquium Committee, WSC Diversity Award Committee, George Nicholson Prize Committee, and Applied Proba- bility Society Best Student Paper Prize Committee. He is a recipient of the 2022 NSF CAREER Award, 2016 INFORMS Simulation Society Outstanding Publication Award, 2012 Winter Simulation Conference Best Student Paper Award (MS/OR focused), and a finalist of 2013 INFORMS George Nicholson Student Paper Competition.

    Zeyu Zheng is an Assistant Professor in the Department of Industrial Engineering and Operations Research at the University of California Berkeley. His research interest includes the theory and methodological aspects of Monte Carlo simulation and simulation optimization. Zeyu Zheng is a regular participant at the Winter Simulation Conference (WSC), previously serving as program committee members and co-proceedings editor. Before joining the current position, Zeyu received a Ph.D. in Management Science and Engineering at Stanford University in 2018, an M.A. in Statistics at Stanford University in 2016, and a B.S. in Mathematics at Peking University in 2012.





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    Xiaowei Zhang
    Assistant Professor
    HKU Business School
    Hong Kong
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