Baoyu Zhou
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Baoyu Zhou [Curriculum Vitae] |
Short Bio
Baoyu Zhou is a postdoctoral researcher at the University of Michigan (Department of Industrial and Operations Engineering) and the University of Chicago (Booth School of Business), working with Professors Albert S. Berahas, Haihao Lu, and John R. Birge. He received his doctoral and master's degree in Industrial and Systems Engineering (ISE) from Lehigh University, advised by Professor Frank E. Curtis. Before joining Lehigh, he received his bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University. He was a Givens Associate in the Mathematics and Computer Science Division at Argonne National Laboratory and a Research Intern at Facebook AI Research. He won the Van Hoesen Family Best Publication Award at Lehigh ISE Department in 2021 and received the Elizabeth V. Stout Dissertation Award at the P.C. Rossin College of Engineering and Applied Science in 2022. His research focuses on developing, analyzing, and implementing practical algorithms for solving large-scale continuous optimization problems.
Research Interests
My research interests include:
Data Analytics and Optimization
Optimization Methods for Machine Learning
Large-scale Continuous Optimization
Constrained Stochastic Optimization
Nonsmooth Optimization
Education
Ph.D., Industrial Engineering, Lehigh University, Bethlehem, PA, USA, 2018–2022
M.S., Industrial Engineering, Lehigh University, Bethlehem, PA, USA, 2016–2018
B.E., Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2012–2016
Social Media
Google Scholar, Linkedin, and Twitter