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Engineering | School of Electrical, Computer and Energy Engineering

Nedich_Angelia_004_a_w2Angelia Nedich


ASU Directory Profile
650 E Tyler Mall


Research expertise

Large-Scale Distributed Systems, Sensor Networks and Network Science, Data Analytics, Decision and Control Systems, Operations Research


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. Prior to joining Arizona State University, she has been a faculty member at the University of Illinois at Urbana-Champaign. She has been a recipient of NSF CAREER Award 2007 in Operations Research for her work in distributed multi-agent optimization. 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. Also, she is a coauthor of the book Convex Analysis and Optimization.


  • B.S. Mathematics, University of Montenegro, Yugoslavia, 1987
  • M.S. Mathematics, University of Belgrade, Yugoslavia, 1991
  • Ph.D. Mathematics and Mathematical Physics, Moscow State University, 1994
  • Ph.D. Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2002

Research Interests

  • Communication Networks and Sensor Networks
  • Optimization Applications in Wireless networks
  • Network Science
  • Distributed and Large-scale Optimization
  • Games and Variational Inequalities
  • Stochastic Systems

Recent Publications

J. Koshal, A. Nedic and U. V. Shanbhag, “Distributed Algorithms for Aggregative Games on Graphs,” Operations Research 64 (3) 680-704, 2016.

M. Raginsky and A. Nedic, “Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty,” Operations Research 64 (3) 662-679, 2016.

F. Yousefian, A. Nedic and U. V. Shanbhag, “Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games” IEEE Transactions on Automatic Control, 61 (7) 1753-1766, 2016.

S. Lee and A. Nedic, “Asynchronous Gossip-Based Random Projection Algorithms Over Networks,” IEEE Transactions on Automatic Control, 61 (4) 953-968, 2016.

A. Nedic and A. Olshevsky, “Distributed optimization over time-varying directed graphs,” IEEE Transactions on Automatic Control 60 (3) 601-615, 2015.