Distributionally Robust Optimization: Theory, Guarantees, and Cross-Domain Applications

Xindong Tang is an Assistant Professor in the Department of Mathematics at Hong Kong Baptist University. Before joining HKBU, he was a Research Assistant Professor at the Department of Applied Mathematics, Hong Kong Polytechnic University. He received his bachelor's degree in mathematics from Sichuan University and his Ph.D. in mathematics from the University of California, San Diego. His research interests mainly include polynomial optimization, generalized Nash equilibrium problems, tensor computation, and their applications. His research has been funded by the Hong Kong RGC and NSFC, and he is a recipient of the Excellent Research Paper Award from the Faculty of Science at HKBU.

Jingxin Liu received a Ph.D. degree from the School of Electronic and Information Engineering, Southwest University, Chongqing, China, in 2023. He was a joint training Ph.D. student with the School of Computing, National University of Singapore, Singapore, from 2021 to 2023. He was the recipient of the Outstanding Ph.D. Thesis Award, and the Science and Technology Award of China Communications and Transportation Association. He is currently with the School of Mathematics and Physics Sciences, Chongqing University of Science and Technology, Chongqing Research Institute of Intelligent Mathematics and Autonomous Intelligence. He published numerous academic papers in IEEE TNNLS, IEEE TETCI, IEEE TCNS, IEEE TAI and Neural Networks journals. He also received the Science and Technology Award of China Communications and Transportation Association. He was the principal investigator of Natural Science Foundation Project of Chongqing, Science and Technology Research Program of Chongqing Municipal Education Commission, and Guangxi Science and Technology Program. His research interests include artificial intelligence, optimization, distributed computing and neural networks.

Dr. Chaoyue Zhao is an Associate Professor in Industrial and Systems Engineering, University of Washington. She obtained her PhD degree at the University of Florida and B.S. degree in Fudan University in China. Dr. Zhao works on data-driven optimization and reinforcement learning methodologies to support strategic and operational planning in various domains, including power systems, transportation and supply chain management. She has received multiple grants from the federal agencies such as the National Science Foundation, Department of Transportation, and a few national laboratories. She is the recipient of awards including Career Award and Energy Systems Division Outstanding Young Investigator Award in IISE.