Seyed Rasoul Etesami

Seyed Rasoul Etesami serves as Associate Professor in both the Department of Industrial and Enterprise Systems Engineering and Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, with additional affiliation at the Coordinated Science Lab. His research bridges theoretical computer science and engineering applications through game-theoretic frameworks.

His primary research focuses on Nash equilibrium analysis in social networks, opinion dynamics modeling, and convergence rate optimization. Key specialties include approximation algorithms for stable matchings, stochastic process applications, and decentralized learning systems. This work integrates computer science, operations research, and electrical engineering principles to solve complex networked system problems.

Recent publications (2024-2025) reveal strong trends in game-theoretic approaches to social influence maximization, dynamic online batching systems, and distributed data optimization. His work consistently addresses scalability challenges while maintaining theoretical rigor across machine learning, network control, and market design domains.

Dr. Etesami has received the following scientific recognition:

• NSF CAREER Award (2020)

His laboratory work centers on the Coordinated Science Lab, where he develops computational frameworks for networked systems analysis and optimization through interdisciplinary collaboration.