Meisam Razaviyayn

Meisam Razaviyayn is an Associate Professor (with the Andrew and Erna Viterbi Early Career Chair) of Industrial and Systems Engineering, Computer Science, Quantitative and Computational Biology, and Electrical Engineering at the University of Southern California. He also serves as Associate Director of the USC–Meta Center for Research and Education in AI and Learning (REAL@USC) and is a part-time Research Scientist at Google Research. His research focuses on the design and study of scalable, trustworthy optimization algorithms for modern data science and machine learning applications. Prior to joining USC, he was a postdoctoral research fellow in the Department of Electrical Engineering at Stanford University and a Visiting Scientist at the Simons Institute for the Theory of Computing at UC Berkeley. He received his Ph.D. in Electrical Engineering (minor in Computer Science) from the University of Minnesota, where he also earned his M.Sc. in Mathematics. He is the recipient of the 2022 NSF CAREER Award, the 2022 Northrop Grumman Excellence in Teaching Award, the 2021 AFOSR Young Investigator Award, the 2021 3M Nontenured Faculty Award, the 2020 ICCM Best Paper Award in Mathematics, the 2019 IEEE Data Science Workshop Best Paper Award, and the 2014 IEEE Signal Processing Society Young Author Best Paper Award. He was among the 40 selected attendees of the 2023 German–American Frontiers of Engineering Symposium organized by the National Academy of Engineering, and is a silver medalist of Iran’s National Mathematics Olympiad.