Rayadurgam Srikant

Rayadurgam Srikant
Rayadurgam Srikant

Administrative Titles

Professor
(217) 333-2457
107 Coordinated Science Lab

For More Information

Education

  • Ph.D. Electrical Engineering University of Illinois 1991

Biography

R. Srikant

is one of two co-Directors of the C3.ai Digital Transformation Institute, a Grainger Distinguished Chair in Engineering, and Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Lab. His research interests include machine learning, applied probability, stochastic control, and communication networks.

He is the recipient of the 2015 INFOCOM Achievement Award, the 2019 IEEE Koji Kobayashi Computers and Communications Award and the 2021 ACM SIGMETRICS Achievement Award. He has also received several Best Paper awards including the 2015 INFOCOM Best Paper Award, the 2017 Applied Probability Society Best Publication Award, and the 2017 WiOpt Best Paper award. He was the Editor-in-Chief of the IEEE/ACM Transactions on Networking from 2013-2017 and is currently an Area Editor for the Mathematics of Operations Research. More than twenty of his former advisees are on the faculty of top universities in the US and around the world, and the rest are in leadership or R&D positions in leading companies.

Research Statement

Research Interests

  • Machine Learning
  • Communication Networks
  • Cloud Computing
  • Stochastic Networks
  • Game Theory
  • Stochastic Control

Research Areas

  • Communication networks
  • Dynamic games and decision theory
  • Machine learning
  • Random processes
  • Stochastic systems and control

Research Topics

  • Cyberphysical systems and internet of things
  • Data science and analytics
  • Data/Information Science and Systems
  • Distributed computing and storage systems
  • Game theory
  • Machine learning
  • Network science and engineering

Books Authored or Co-Authored (Original Editions)

  • R. Srikant and L. Ying, Communication Networks: An Optimization, Control and Stochastic Networks Perspective, Cambridge University Press, 2014
  • S. Shakkottai and R. Srikant, Network Optimization and Control, NoW Publishers Foundations and Trends in Networking, 2007
  • R. Srikant, Mathematics of Internet Congestion Control, Birkhauser, 2004

Journal Editorships

  • Area Editor for Stochastic Models, Mathematics of Operations Research
  • Editor, Synthesis Series in Communication Networks, Morgan & Claypool Publishers, since January 2016
  • Editor-in-Chief, IEEE/ACM Transactions on Networking, since June 2013-June 2017

Honors

  • Distinguished Alumnus, Indian Institute of Technology, Madras, 2015
  • Distinguished Lecturer, IEEE Communications Society, 2011-2012
  • Associate, Center for Advanced Study, UIUC, 2008-2009
  • Fellow, IEEE, 2006

Teaching Honors

  • Engineering council award for excellence in advising (top 10% of engineering advisors) (March 2003)
  • List of Teachers Ranked Excellent (Fall 2023, ECE490)
  • List of teachers ranked as excellent (Fall 2002, Spring 2004, Spring 2006, Fall 2006, Spring 2008, Fall 2009, Spring 2010, Fall 2011, Fall 2012*, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2016*, Spring 2017, Fall 2018)

Research Honors

  • Runner up, Best Paper Award, ACM MobiHoc, 2021 (coauthors: Daniel Vial and Sanjay Shakkottai)
  • 2021 ACM SIGMETRICS Achievement Award
  • 2019 IEEE Koji Kobayashi Computers and Communications Award
  • 2017 Applied Probability Society Best Publication Award (coauthor: Siva Theja Maguluri)
  • 2015 WiOpt Best Paper Award (coauthors: Kobi Cohen, Angelia Nedich)
  • 2015 IEEE INFOCOM Best Paper Award (coauthors: Lei Ying and Xiaohan Kang)
  • 2015 IEEE INFOCOM Achievement Award
  • Shimemura Young Author Prize (Young Author: S. Kunniyur), Asian Control Conference, 2002
  • NSF Career Award, 1997

Recent Courses Taught

  • ECE 490 (CSE 441) - Introduction to Optimization
  • ECE 528 (ME 546, SE 520) - Analysis of Nonlinear Systems
  • ECE 543 - Statistical Learning Theory
  • ECE 555 - Control of Stochastic Systems
  • ECE 567 - Communication Network Analysis
  • ECE 586 RS - MDPs, Reinforcement Learning