Salman Avestimehr

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Professor of Electrical and Computer Engineering

Education

  • 2008, Doctoral Degree, University of California - Berkeley
  • 2005, Master's Degree, Electrical Engineering and Computer Sciences, University of California - Berkeley
  • 2003, Bachelor's Degree, Electrical Engineering, Sharif University Of Technology

Biography


Salman Avestimehr is a Professor and co-director of the Communication Sciences Institute at the Electrical and Computer Engineering Department of University of Southern California, where he leads the Information Theory and Machine Learning (vITAL) research lab. He received his Ph.D. in 2008 and M.S. degree in 2005 in Electrical Engineering and Computer Science, both from the University of California, Berkeley. Prior to that, he obtained his B.S. in Electrical Engineering from Sharif University of Technology in 2003. He was an Assistant Professor at the ECE school of Cornell University from 2009 to 2013. He was also a postdoctoral scholar at the Center for the Mathematics of Information (CMI) at Caltech in 2008. His research interests include information theory, coding theory, large-scale distributed computing and machine learning.

Dr. Avestimehr has received various awards for his research and teaching, including The 2019 IEEE Information Theory Society James L. Massey Research & Teaching Award, an Information Theory Society and Communication Society Joint Paper Award, a Presidential Early Career Award for Scientists and Engineers (PECASE) from President Obama, a Young Investigator Program (YIP) award from the U. S. Air Force Office of Scientific Research, a National Science Foundation CAREER award, the David J. Sakrison Memorial Prize, and several Best Paper Awards at Conferences. He has been an Associate Editor for IEEE Transactions on Information Theory. He is currently a general Co-Chair of the 2020 International Symposium on Information Theory (ISIT).

Research Summary


Current research areas of Prof. Avestimehr include information theory, coding theory, large-scale distributed computing, machine learning, and secure/private computing.

Prof. Avestimehr leads the Information Theory and Machine Learning (vITAL) research lab at USC.

Awards


  • 2019 IEEE Information Theory Society James L. Massey Research & Teaching Award
  • 2019 IEEE Fellow
  • 2017 Jack K. Wolf Best Paper Award, 2017 IEEE Int. Symp. Inf. Theory (ISIT)
  • 2017 Best Paper Award, 2017 IEEE GLOBECOM Conference
  • 2015 Okawa Foundation Research Award
  • 2013 Communications Society and Information Theory Society Joint Paper Award
  • 2013 Qualcomm Innovation Award
  • 2012 Michael Tien Excellebte in Teaching Award
  • 2011 Presidential Early Career Award for Scientists and Engineers (PECASE) from White House (President Obama)
  • 2011 US Air Force Young Investigator Program (YIP) Award
  • 2010 National Science Foundation CAREER award
  • 2009 David J. Sakrison Memorial Prize (Best PhD Dissertation) from UC Berkeley
  • 2005 Vodafone-U.S. Foundation Fellows Initiative Research Merit Award
  • 1999 Presidential Award for Ranking 2nd in Iranian National Qualifying Exam from President Khatami
  • 1998 Silver Medal Recipient in National Mathematical Olympiad
Appointments
  • Ming Hsieh Department of Electrical and Computer Engineering - Systems

Office
  • EEB 504B
  • Hughes Aircraft Electrical Engineering Center
  • 3740 McClintock Ave., Los Angeles, CA 90089
  • USC Mail Code: 2562

Contact Information
  • (213) 740-7326
  • avestime@usc.edu

Links

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