Semi-Plenary Speakers


Daniel Kuhn

Short Biography: Daniel Kuhn holds the Chair of Risk Analytics and Optimization at EPFL. Before joining EPFL, he was a faculty member at Imperial College London (2007-2013) and a postdoctoral researcher at Stanford University (2005-2006). He received a PhD in Economics from the University of St. Gallen in 2004 and an MSc in Theoretical Physics from ETH Zurich in 1999. His research interests revolve around optimization under uncertainty. For his webpage, go here.

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Guanghui (George) Lan

Short Biography: Guanghui (George) Lan is an A. Russell Chandler III professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Lan was on the faculty of the Department of Industrial and Systems Engineering at the University of Florida from 2009 to 2015, after earning his Ph.D. degree from Georgia Institute of Technology in August 2009. His main research interests lie in optimization and machine learning. The academic honors he received include the Mathematical Optimization Society Tucker Prize Finalist (2012), INFORMS Junior Faculty Interest Group Paper Competition First Place (2012) and the National Science Foundation CAREER Award (2013). Dr. Lan serves as an associate editor for Mathematical Programming, SIAM Journal on Optimization and Computational Optimization and Applications. He is also an associate director of the Center for Machine Learning at Georgia Tech.

Abstract: tbd


Angelia Nedic

Short Biography: Angelia Nedich has a Ph.D. from Moscow State University, Moscow, Russia, in Computational Mathematics and Mathematical Physics (1994), and a Ph.D. from Massachusetts Institute of Technology, Cambridge, USA in Electrical and Computer Science Engineering (2002). She has worked as a senior engineer in BAE Systems North America, Advanced Information Technology Division at Burlington, MA. Currently, she is a faculty member of the school of Electrical, Computer and Energy Engineering at Arizona State University at Tempe. Prior to joining Arizona State University, she has been a Willard Scholar faculty member at the University of Illinois at Urbana-Champaign. She is a recipient (jointly with her co-authors) of the Best Paper Award at the Winter Simulation Conference 2013 and the Best Paper Award at the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) 2015. Her general research interest is in large scale complex systems dynamics and optimization.

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Pablo Parillo

Short Biography: tbd

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Suvrit Sra

Short Biography: tbd

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Akiko Takeda

Short Biography: Akiko Takeda received the Doctor of Science degree in information science from the Tokyo Institute of Technology, Japan, in 2001. She is currently a professor in the Department of Creative Informatics, The University of Tokyo, and the team leader of Continuous Optimization Team at Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan. Prior to that, she was a researcher at Toshiba Corporation, an assistant professor at Tokyo Institute of Technology, an associate professor at Keio University, an associate professor at University of Tokyo, and a professor at the Institute of Statistical Mathematics. Her current focus is on the development of solution approaches in decision making problems under uncertainty and in nonconvex optimization problems such as the difference of convex optimization. Her work is motivated by optimization tasks with applications in operations research, machine learning, and control systems. She currently serves as an Associate Editor for SIAM Journal on Optimization.

Abstract: tbd


Zaiwen Wen

Short Biography: ​​Zaiwen Wen is Professor in the Beijing International Center For Mathematical Research at Peking University. He holds a B.S. in Applied Mathematics from Shanghai Jiaotong University (2001), a M.S. in computational mathematics from Academy of Mathematics and Systems Science (AMSS) (2004) and a Ph.D in operations research from Columbia University (2009). His research interests include large-scale computational optimization and their applications in sciences and engineering. He was awarded the science and technology award for Chinese youth in 2016, the Beijing science and technology prize for outstanding youth scholar and the leading talents in science and technology innovation of the National Ten Thousand Talents Program in 2020. He is an associate editor of Journal of the Operations Research Society of China, Journal of Computational Mathematics, Communications in Mathematics and Statistics and a technical editor of Mathematical Programming Computation. He serves as the Vice Chair of the Mathematical Programming Branch of the OR Society of China.

Abstract: tbd