Rate My Professor Angelia Nedich

Nedich's research specializations and academic interests encompass distributed multi-agent optimization, convex and nonconvex optimization, networked systems dynamics, stochastic approximations, large-scale optimization, variational inequalities and equilibrium problems, duality theory and applications, games, control, and information processing in networks. She has produced 254 research outputs, including 114 articles, 114 conference contributions, 10 conference articles, and 9 chapters. She is a co-author of the book Convex Analysis and Optimization. Key publications include "An accelerated distributed stochastic gradient method with momentum" (Mathematical Programming, 2026), "AB/Push-Pull method for distributed optimization in time-varying directed networks" (Optimization Methods and Software, 2025), and "Bi-CrowdCache: A Decentralized Game-Theoretic Model for Edge Content Sharing Over Time-Varying Communication Networks" (IEEE Transactions on Mobile Computing, 2026). She received the NSF CAREER Award in 2007 in Operations Research for her work on distributed multi-agent optimization, the Best Paper Award (jointly with co-authors) at the Winter Simulation Conference in 2013, and the Best Paper Award (jointly with co-authors) at the International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) in 2015. Nedich serves as a committee chair for Ph.D. programs in Computer Engineering and Data Science, Analytics and Engineering.