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Mathematical Optimization Society


New issue of Optima: 104 (06/2018)

Nominations for MOS elections 2018 (06/2018)

IPCO 2019 will be held at U Michigan at Ann Arbor, organized by Jon Lee and Viswanath Nagarajan. PC Chair: Andrea Lodi (02/2018)

MPC announces Best Paper in 2017 (01/2018)

New issue of Optima: 103 (09/2017)

Call for Nominations: Dantzig Prize 2018 (08/2017)

Call for Nominations: Lagrange Prize 2018 (08/2017)

Call for Nominations: Paul Y. Tseng Memorial Lectureship 2018 (08/2017)

Call for nominations: Tucker Prize 2018 (08/2017)

Call for nominations: Beale — Orchard-Hays Prize 2018 (08/2017)

Call for nominations: Fulkerson Prize 2018 (07/2017)

Call for site pre-proposals: ISMP 2021 (07/2017)

More News

Nominations for MOS elections 2018

This web page lists candiates for the MOS elections 2018, each including a short biosketch.

Candidate for MOS chair

John Birge

Professor of Operations Management, The University of Chicago Booth School of Business

John R. Birge is the Jerry W. and Carol Lee Levin Distinguished Service Professor of Operations Management at the University of Chicago Booth School of Business. Previously, he was Dean of the McCormick School of Engineering and Applied Science and Professor of Industrial Engineering and Management Sciences at Northwestern University. He also served as Professor and Chair of Industrial and Operations Engineering at the University of Michigan, where he also established the Financial Engineering Program. He is former Editor-in-Chief of Mathematical Programming, Series B, former President of INFORMS, and current Editor-in-Chief of Operations Research. His work focuses on stochastic optimization methods and analysis as well as applications in multiple domains. His honors and awards include the IIE Medallion Award, the INFORMS Fellows Award, the MSOM Society Distinguished Fellow Award, the Harold W. Kuhn Prize, the George E. Kimball Medal, the William Pierskalla Award, and election to the US National Academy of Engineering. He received M.S. and Ph.D. degrees from Stanford University in Operations Research, and an A.B. in Mathematics from Princeton University.

Candidate for MOS treasurer

Marina A. Epelman

Marina Epelman received her undergraduate degree from Cornell University, and her PhD from the MIT Operations Research Center. She has been a faculty member at the Industrial and Operations Engineering department at the University of Michigan since 1999. Marina's research includes applications of optimization models and algorithms in a variety of fields, such as healthcare and scheduling, and methodological work in convex and infinite-dimensional optimization. She had served as a secretary and treasurer of INFORMS Optimization Society and of SIAM Activity Group on Optimization, and has been the organizer of many invited sessions and optimization clusters at ISMP, SIOPT and INFORMS meetings. She is currently the editor of the newsletter of the INFORMS Optimization Society, and is nominated for her second term as the MOS treasurer.

Candidates for MOS council positions

Hande Benson (United States)

Hande Benson is an Associate Professor in the Department of Decision Sciences and MIS at Drexel University's LeBow College of Business. Her research area is nonlinear programming, with a particular focus on interior-point methods. She currently serves as a Technical Editor for Mathematical Programming Computation and as an Associate Editor for Optimization and Engineering. She has extensive experience serving on INFORMS Committees and is looking forward to the opportunity to expand her impact to MOS. For INFORMS, she has served on the Nicholson Prize Committee, Computing Society Student Paper Prize Committee, INFORMS Prize Committee, and Analytics Student Competition Committee, and she was Vice Chair for Computational Optimization and Software for the Optimization Society and co-chair of contributed talks for the 2015 INFORMS Annual Meeting. Dr. Benson received her Ph.D. in Operations Research and Financial Engineering at Princeton University. After an appointment the United States Naval Academy, Dr. Benson joined the Drexel University faculty in September 2003.

Santanu Dey (United States)

Santanu S. Dey is an Associate Professor in the School of Industrial and Systems Engineering at Georgia Tech. He received his Ph.D. in Industrial Engineering from Purdue University in 2007. He worked at a post-doctoral fellow at the Center for Econometrics and Operations Research (CORE) in the Universit'e Catholique de Louvain (Belgium) before joining Georgia Tech in 2009. Dr. Dey's research interests are in the area of mixed integer linear and nonlinear programming. His research is partly motivated by applications of optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming (MIP) Workshop 2013 and Integer Programming and Combinatorial Optimization (IPCO) 2017. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an area editor for Mathematical Programming C and is an associate editor for INFORMS Journal on Computing, Mathematical Programming A, and SIAM Journal on Optimization. Dr. Dey was awarded the INFORMS George Nicholson Student Paper Competition in 2007, the IBM Faculty award in 2009, the NSF CAREER Award in 2012.

Tito Homem-de-Mello (Chile)

Dr. Tito Homem-de-Mello is a professor in the School of Business at Universidad Adolfo Ibañez, Santiago, Chile. He obtained his Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, M.S. in Applied Mathematics from Georgia Institute of Technology, and a B.Sc. degree in Computer Science from University of São Paulo, Brazil. Prior to joining Universidad Adolfo Ibañez, he had been on the faculty of The Ohio State University (as assistant professor) and of Northwestern University (as associate professor). His research focuses on optimization of systems under uncertainty. In particular, he studies theory and algorithms for stochastic optimization as well as applications of such methods in several areas such as risk management, energy, and transportation, having published over 30 papers on those topics. Dr. Homem-de-Mello was co-chair of the Program Committee of the XIV International Conference on Stochastic Programming, held in Brazil in 2016, and served for three years as a member of COSP, a steering committee for the stochastic optimization community. He is the recipient of Best Paper Awards from IIE Transactions (2012) and INFORMS Revenue Management and Pricing Section (2007), and was the winner of the INFORMS George Nicholson student paper competition (1998).

Jim Luedtke (United States)

Jim Luedtke is an Associate Professor in the department of Industrial and Systems Engineering at the University of Wisconsin-Madison. Luedtke earned his Ph.D. at Georgia Tech and did postdoctoral work at the IBM T.J. Watson Research Center. Luedtke’s research is focused on methods for solving stochastic and mixed-integer optimization problems, as well as applications of such models. Luedtke is a recipient of an NSF CAREER award, was a finalist in the INFORMS JFIG Best Paper competition, and was awarded the INFORMS Optimization Society Prize for Young Researchers. Luedtke serves on the editorial boards of the journals SIAM Journal on Optimization, INFORMS Journal on Computing, and Mathematical Programming Computation. Luedtke is the current secretary of the SIAM Activity Group in Optimization, serves on the Committee on Stochastic Programming, and is a former secretary/treasurer of the INFORMS Optimization Society.

Britta Peis (Germany)

Britta Peis is a full professor and head of the chair of Management Science at the school of business and economics at RWTH Aachen University. She received her Ph.D. in Applied Mathematics at the university of Cologne in 2006. Before joining the RWTH university in 2013, she worked as a post-doctoral fellow at the chair of Discrete Optimisation at TU Dortmund and in the group Combinatorial Optimisation, Graphs, and Algorithms (COGA) at TU Berlin and as an interim professor for Mathematical Optimisation at the university of Magdeburg. SDr. Peis' research interests are in combinatorial optimization and algorithmic game theory. She has served on the programs committees of the workshop on approximation and online algorithms (WAOA 2015) and the workshop on integer programming and combinatorial optimization (IPCO 2017) and is currently MC member and gender representative of the European network for game theory (COST action GAMENET).

Marc Pfetsch (Germany)

Marc Pfetsch is full professor for Discrete Optimization at TU Darmstadt, Germany. After finishing his studies in 1997 at Heidelberg University, he went to Cornell University for one year with a Fulbright grant. In 1998, he started his Ph.D. studies at TU Berlin. After receiving his Ph.D. in 2002, he became a postdoctoral researcher at Zuse Institute Berlin. Since 2004 he is one of the developers of the branch-and-cut framework SCIP. In 2008, he obtained the habilitation and became full professor at TU Braunschweig. In 2012 he moved to Darmstadt. His research interests are integer and combinatorial optimization, which centers around symmetries, compressed sensing, and mixed-integer nonlinear programming in general. He is an associate editor of Operations Research Letters, INFORMS Journal of Computing and Mathematical Programming Computation. He has also served as the MOS web editor from 2007 to 2016.

Sebastian Pokutta (United States)

Sebastian Pokutta is the David M. McKenney Family Associate Professor in the School of Industrial and Systems Engineering and an Associate Director of the Center for Machine Learning at the Georgia Insitute of Technology. Having received both his diploma and Ph.D. in mathematics from the University of Duisburg-Essen in Germany, Pokutta was a postdoctoral researcher and visiting lecturer at MIT, worked for IBM ILOG, and Krall Demmel Baumgarten. Prior to joining the Georgia Institute of Technology, he was a professor at the University of Erlangen-Nürnberg. Pokutta's primary research interests are at the intersection of optimization and machine learning, in particular mixed-integer programming, extended formulations, online linear and convex optimization, clustering, as well as the application of these methods to real-world problems.

Wolfram Wiesemann (United Kingdom)

Wolfram Wiesemann is an associate professor at Imperial College London. His research focuses on the theoretical and algorithmical aspects of optimisation under uncertainty, as well as its applications in logistics, energy and finance. Wolfram's research has been published widely in both theory-focused (MP, MOS and SIOPT) and practice-oriented (OR, MS) journals. Wolfram serves on the editorial boards of Computational Management Science, Computational Optimization and Applications, Operations Research, Operations Research Letters and SIAM Journal on Optimization. He has co-organised 5 workshops and conferences, and he frequently serves on programme committees.