Profile picture

Rahul Jain

Professor of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering


  • Doctoral Degree, Electrical Engineering, University of California - Berkeley
  • Master's Degree, Statistics, University of California - Berkeley
  • Master's Degree, Rice University
  • Bachelor's Degree, Electrical Engineering, Indian Institute of Technology-Kanpur


Rahul Jain is the Kenneth C. Dahlberg Early Career Chair in the Electrical Engineering department and an Associate Professor since February 2013 at the University of Southern California, Los Angeles, CA. Prior to joining USC in August 2008, he was at the Mathematical Sciences Division of the IBM T.J. Watson Research Center, Yorktown Heights, NY. He received his Ph.D. in EECS in December 2004, and an M.A. in Statistics, both from the University of California, Berkeley. He also received an M.S. in ECE from Rice University where he was a recipient of the Texas Instruments Fellowship. He received a B.Tech in EE from the Indian Institute of Technology, Kanpur, where he won the TCS Best B.Tech Project Award. He has received numerous awards including a James H. Zumberge Faculty Research and Innovation Award in 2009, an IBM Faculty Award, the NSF CAREER Award in 2010 and the ONR Young Investigator Award in 2012. He is a US Fulbright Specialist Scholar for 2017-2020, and was a Fulbright Visiting Professor at the Indian Institute of Science, Bangalore in 2018. His research interests have current focus on AI for Stochastic Systems, Online, Statistical and Reinforcement Learning. He has also worked on Queueing Systems, Power System Economics, Network Economics and Game Theory. He is currently an Associate Editor for IEEE Trans. on Automatic Control, IEEE Trans. on Control of Networked Systems, IEEE T. on Network Science & Engineering and serves on the Conference Editorial Board of IEEE Control Systems Society. In the past, he has been an AE for IEEE. T. on Mobile Computing (2013-16) and was the lead Guest editor of a special issue in the IEEE J. Selected Areas in Communications, Associate editor for (2014-present). He has served as the TPC Co-Chair of GameNets 2011, and as a TPC member of many conferences. He is a contributing member of many professional societies including ACM, IEEE Communications, Control Systems and Information Theory Societies, and Institute for Operations Research and Management Science (INFORMS). His students have won prestigious dissertation/best paper awards awards including the Lajos Takacs Thesis Award in Queueing Theory (2016). Several students and postdocs are now in academic positions at top US and international universities.

Research Summary

* AI for Stochastic Systems: Reinforcement Learning, Online Learning, Statistical Learning Theory, Intelligent Autonomy, and Multi-Agent Systems

* Applications of Interest: Autonomous Robotics, Intelligent Transportation, Smart Power Systems, and Digital Health


  • 2017 US Fulbright Specialist Fellow
  • 2012 ONR Young Investigator Award
  • 2012 Viterbi School of Engineering Kenneth C. Dahlberg Early Career Chair
  • 2010 IBM Faculty Award
  • 2010 National Science Foundation NSF Early CAREER Faculty Award
  • 2009 ACM Sigmetrics Society Best Paper Award at The ValueTools Conference
  • 2009 USC Zumberge James H. Zumberge Faculty Research and Innovation Award
  • Ming Hsieh Department of Electrical and Computer Engineering - Systems
  • Thomas Lord Department of Computer Science
  • Daniel J Epstein Department of Industrial and Systems Engineering
  • EEB 316
  • Hughes Aircraft Electrical Engineering Center
  • 3740 McClintock Ave., Los Angeles, CA 90089
  • USC Mail Code: 2562
Contact Information
  • (213) 740-2246