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Program > Invited SpeakersPlenary Speakers:
Shabbir Ahmed is the Anderson-Interface Chair and Professor in the H. Milton Stewart School of Industrial & Systems Engineering at the Georgia Institute of Technology. His research interests are in stochastic and discrete optimization. Dr. Ahmed is a past Chair of the Stochastic Programming Society. He serves on the editorial board of several journals including Operations Research, Mathematical Programming and the INFORMS Journal on Optimization. Dr. Ahmed's honors include the INFORMS Computing Society Prize, the National Science Foundation CAREER award, two IBM Faculty Awards, and the INFORMS Dantzig Dissertation award. He is a Senior Member of IEEE and a Fellow of INFORMS.
Francis Bach is a researcher at Inria, leading since 2011 the machine learning team which is part of the Computer Science Department at Ecole Normale Supérieure. He graduated from Ecole Polytechnique in 1997 and completed his Ph.D. in Computer Science at U.C. Berkeley in 2005, working with Professor Michael Jordan. He spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, then he joined the computer vision project-team at Inria/Ecole Normale Supérieure from 2007 to 2010. Francis Bach is primarily interested in machine learning, and especially in graphical models, sparse methods, kernel-based learning, large-scale convex optimization, computer vision and signal processing. He obtained in 2009 a Starting Grant and in 2016 a Consolidator Grant from the European Research Council, and received in 2012 the Inria young researcher prize. In 2015, he was program co-chair of the International Conference in Machine learning (ICML), and he will be general chair in 2018.
Monique Laurent is researcher at Centrum Wiskunde & Informatica (CWI) in Amsterdam and she has a part-time appointment as full professor at Tilburg University. She received her Ph.D. in Mathematics at the University Paris Diderot in 1986 and was a researcher at CNRS in Paris before joining CWI in 1997. Her research focuses on algebraic and geometric methods for optimization problems in operations research, discrete and polynomial optimization, and quantum information. She co-authored the book ``Geometry of Cuts and Metrics" (Springer) and she is a SIAM Fellow. Presently she serves on the editorial boards of Mathematical Programming, SIAM Journal on Discrete Mathematics and SIAM Journal on Mathematics of Data Science.
Andy Philpott is Professor of Operations Research and co-director of the Electric Power Optimization Centre at the University of Auckland. His research interests are in stochastic optimization and game theory and their application to electricity markets. Dr Philpott currently serves on the editorial board of Operations Research, and has previously served on the editorial boards of Mathematical Programming and Operations Research Letters. Dr Philpott is an INFORMS Edelman Laureate and a Fellow of INFORMS.
Marc Teboulle is a Professor at the School of Mathematical Sciences of Tel Aviv University. He received his D.Sc. from the Technion, Israel Institute of Technology in 1985. He has held a position of Applied Mathematician at Israel Aircraft Industries, and academic appointments at Dalhousie University and the University of Maryland. He serves on the editorial board of several leading journals, and is the Area Editor of Continuous Optimization for Mathematics of Operations Research. His research interests are in the area of continuous optimization, including theory, algorithms, and its applications to many areas of science and engineering.
Semi-Plenary Speakers:
Michael Hintermüller is Professor of Applied Mathematics at Humboldt-Universität zu Berlin, Director of the Weierstrass Institute for Applied Analysis and Stochastics, and Speaker of the Einstein-Center for Mathematics Berlin. He received his PhD from the University of Linz in Austria and held positions at the University of Graz (Austria), Rice University (USA) and Sussex University (UK). He is SIAM Fellow and editor of several international peer-reviewed journals such as SIAM J. Num. Analysis or ESAIM COCV. His research interests include PDE-constrained optimization, quasi-variational inequalities and Nash games as well as variational image processing. Concerning applications, he is involved in interdisciplinary projects, e.g. focusing on energy markets or the design of next generation microprocessor, as well as in cooperations with industry.
Nick Sahinidis is John E. Swearingen Professor and Director of the Center for Advanced Process Decision-making at Carnegie Mellon University. He joined Carnegie Mellon in 2007 after a sixteen-year long career at the University of Illinois at Urbana, where he taught in Industrial Engineering and Chemical Engineering. His research addresses the development of theory, algorithms, and the BARON software for global optimization of mixed-integer nonlinear programs, as well as applications in a variety of fields, including process systems optimization and machine learning. His honors have included the INFORMS Computing Society Prize, the Beale-Orchard-Hays Prize, the Computing in Chemical Engineering Award, the Constantin Carathéodory Prize, and the National Award and Gold Medal from HELORS. Professor Sahinidis is a fellow of INFORMS and AIChE. He is the Editor-in-Chief of Optimization and Engineering.
Key-Note Speakers:
Alper Atamturk is a Professor of Industrial Engineering and Operations Research at the University of California, Berkeley. He received his Ph.D. from the Georgia Institute of Technology in 1998 with a major in Operations Research and minor in Computer Science. His research interests are in optimization, integer programming, optimization under uncertainty with applications to energy, portfolio and network design, cancer therapy, and defense. Dr. Atamturk is a national security fellow (NSSEFF) of the US Department of Defense. He serves on the editorial boards of Mathematical Programming A, Mathematical Programming C, Discrete Optimization, and Journal of Risk.
Michel Balinski, a Williams College graduate, completed an M.S. in economics at MIT and a Ph.D. in mathematics at Princeton. He has taught at Princeton, Penn, CUNY Graduate Center, Yale and SUNY, Stony Brook. Beginning in 1982 he was Directeur de Recherche de classe exceptionnelle of the CNRS at the Ecole Polytechnique, Paris. He was awarded INFORMS’s Lanchester Prize in 1965, the MAA’s Lester R. Ford Award in 1976 and in 2009, an honorary degree in mathematics from the University of Augsburg in 2004, and INFORMS’s John von Neumann Theory Prize in 2013. He is the founding editor of Mathematical Programming and a past President of the Mathematical Optimization Society. He is the author of Fair Representation: Meeting the Ideal of One Man, One Vote (1982, reissued 2001, with H. P. Young), Le suffrage universel inachevé (2004), and Majority Judgment: Measuring, Ranking and Electing (2011, with R. Laraki), and the author or co-author of about 150 articles. His principal current interest is the design of electoral systems. One of his electoral systems is used in several Swiss cantons.
Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, and professor of Electrical Engineering (by courtesy) at Stanford University, where he currently chairs the Department of Statistics. Emmanuel’s work lies at the interface of mathematics, statistics, information theory, signal processing and scientific computing. Candès graduated from the Ecole Polytechnique in 1993 with a degree in science and engineering, and received his Ph.D. in Statistics from Stanford University in 1998. He received the 2006 Alan T. Waterman Award from NSF, the 2013 Dannie Heineman Prize from the Academy of Sciences at Göttingen, the 2010 George Polya Prize awarded by the Society of industrial and Applied Mathematics (SIAM), and the 2015 AMS-SIAM George David Birkhoff Prize in Applied Mathematics. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences. Candès has been named a 2017 MacArthurFellow, an honor popularly known as the “genius” grant.
Patrick L. Combettes, IEEE Fellow, was on the faculty of the City University of New York (City College and Graduate Center) and of the Jacques-Louis Lions laboratory of Université Pierre et Marie Curie – Paris 6 before joining North Carolina State University as a Distinguished Professor of Mathematics in 2016. His research interests include nonlinear analysis and optimization, and their applications to computational data science. He is the co-author of the book "Convex Analysis and Monotone Operator Theory in Hilbert spaces" (2nd ed. Springer, 2017) and he serves on the editorial board of the Journal of Approximation Theory, the Journal of Mathematical Analysis and Applications, the SIAM Journal on Optimization, and the SIAM Journal on Imaging Sciences.
Santanu S. Dey is an Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey holds a Ph.D. in Industrial Engineering from Purdue University. Prior to joining Georgia Tech, he worked as a post-doctoral fellow at the Center for Operations Research and Econometrics (CORE) of the Catholic University of Louvain in Belgium. Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming.
Maryam Fazel is an Associate Professor of Electrical Engineering at the University of Washington, with adjunct appointments in Computer Science and Engineering, Mathematics, and Statistics. Maryam received her MS and PhD from Stanford University, her BS from Sharif University of Technology in Iran, and was a postdoctoral scholar at Caltech before joining UW. Her current research interests are in mathematical optimization and applications in machine learning. She is a recipient of the NSF Career Award, the UWEE Outstanding Teaching Award, UAI conference Best Student Paper Award (with her student), and coauthored a paper on low-rank matrix recovery selected as a Fast-Breaking paper by Science Watch (2011). She co-leads the NSF Algorithmic Foundations for Data Science Institute at UW, and is an associate editor of SIAM journals on Optimization and on Mathematics of Data Science.
Matteo Fischetti is full professor of Operations Research at the Department of Information Engineering of the University of Padova, Italy. He is Associate Editor of the international journals “Operations Research” and “Mathematical Programming Computation”. He won, among others, the "Best Ph.D. Dissertation on Transportation” prize awarded by the Operations Research Society of America (1987) and the INFORMS Edelman award (2008). In 2015 he was awarded the Harold Larnder Prize by the Canadian Operational Research Society. His research interests include Integer Programming, Combinatorial Optimization, Railway Optimization, Vehicle Routing and Crew Scheduling Problems.
Oktay Gunluk is a research staff member at IBM Research. He has received his BS and MS degrees from Bogazici University and his Ph.D. in operations research from Columbia University. His research interests are mainly mixed-integer programming and discrete optimization. His applied work spans various industrial problems including production planning, fleet scheduling, port optimization, vehicle routing, oil pipeline scheduling and site selection in agriculture. He has served on the editorial boards of Networks, Mathematical Programming Computation, and MOS/SIAM Book Series on Optimization. He is currently an associate editor for Operations Research and Optimization and Engineering journals. He has served on the program committees for MIP, IPCO, and ISCO and currently serves in the IPCO steering committee.
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, and a B.Sc. in Computer Science and M.S. in Applied Mathematics from University of São Paulo, Brazil. 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 transportations. He was co-Chair of the Program Committee of the XIV International Conference on Stochastic Programming, held in Brazil in 2016. Dr. Homem-de-Mello has been awarded prizes for Best Paper from IIE Transactions (2012), INFORMS Revenue Management and Pricing Section (2007), and INFORMS George Nicholson student paper competition (1998).
Thomas Rothvoss is Assistant Professor in the Department of Mathematics and the Department of Computer Science & Engineering at the University of Washington. He is working in the intersection of theoretical computer science and discrete optimization. He received a STOC 2010 Best Paper Award, a SODA 2014 Best Paper Award and a STOC 2014 Best Paper Award. His research is supported by an Alfred P. Sloan Research Fellowship (2015), a David & Lucile Packard Foundation Fellowship (2016) as well as an NSF CAREER Award (2016).
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