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Meisam Razaviyayn

Andrew and Erna Viterbi Early Career Chair and Associate Professor Industrial and Systems Engineering, Computer Science, and Electrical and Computer Engineering

Education

  • 2014, Doctoral Degree, Electrical Engineering (Minor in Computer Science), University of Minnesota
  • 2013, Master's Degree, Mathematics, University of Minnesota



Biography

Meisam Razaviyayn is an Associate Professor (with the Andrew and Erna Viterbi Early Career Chair) of Industrial and Systems Engineering, Computer Science, Quantitative and Computational Biology, and Electrical Engineering at the University of Southern California. He also serves as Associate Director of the USC–Meta Center for Research and Education in AI and Learning (REAL@USC) and is a part-time Research Scientist at Google Research. His research focuses on the design and study of scalable, trustworthy optimization algorithms for modern data science and machine learning applications. Prior to joining USC, he was a postdoctoral research fellow in the Department of Electrical Engineering at Stanford University and a Visiting Scientist at the Simons Institute for the Theory of Computing at UC Berkeley. He received his Ph.D. in Electrical Engineering (minor in Computer Science) from the University of Minnesota, where he also earned his M.Sc. in Mathematics. He is the recipient of the 2022 NSF CAREER Award, the 2022 Northrop Grumman Excellence in Teaching Award, the 2021 AFOSR Young Investigator Award, the 2021 3M Nontenured Faculty Award, the 2020 ICCM Best Paper Award in Mathematics, the 2019 IEEE Data Science Workshop Best Paper Award, and the 2014 IEEE Signal Processing Society Young Author Best Paper Award. He was among the 40 selected attendees of the 2023 German–American Frontiers of Engineering Symposium organized by the National Academy of Engineering, and is a silver medalist of Iran’s National Mathematics Olympiad.

Research Summary

I am passionate about the design and study of scalable trustworthy optimization algorithms and tools that arise in modern data science and machine learning applications.

Awards:
  • Selected as one of 60 engineers to attend the National Academy of Engineering’s German-America Frontiers of Engineering symposium, 2023
  • Northrop Grumman Excellence in Teaching Award, 2022
  • NSF CAREER Award, March 2022
  • AFOSR Young Investigator Prize Award, November 2021
  • 3M Non-Tenured Faculty Award (NTFA), February 2021
  • ICCM Best Paper Award in Mathematics, August 2020
  • IEEE Data Science Workshop Best Paper Award, 2019
  • Finalist of the Best Paper Prize for Young Researcher in Continuous Optimization, ICCOPT 2016
  • Signal Processing Society Young Author Best Paper Award, December 2014
  • Doctoral Dissertation Fellowship, University of Minnesota, Twin Cities, 2013
  • Finalist of the Best Paper Prize for Young Researcher in Continuous Optimization, ICCOPT 2013
  • Paper Shortlisted for Best Student Paper Award, SPAWC 2010
  • University Scholarship for B.Sc. Programs, IUT, 2004, 2005, 2006, 2007
  • Fifth Place in ACM International Collegiate Programming Contest (ICPC), Asia Regional Contest, Iran, 2004
  • Silver Medal Recipient in 20th National Mathematics Olympiad, Iran, 2003


Student Collaborators'/Mentees' Awards:
  • Ali Ghafelebashi: the Directors’ Award for Best Research Translation in Three Minute Thesis, 2023
  • Andrew Lowy: Center for Applied Mathematical Sciences (CAMS) Prize, 2023
  • Ali Ghafelebashi: ITS California and California Transportation Foundation Scholarship, 2023
  • Hesameddin Mohammadi (advisor: Mihailo Jovanovic): The Sun Prize (the first prize) of the ITA graduation day for our joint work, 2023
  • Babak Barazandeh: The ISE department's best dissertation award, 2021
  • Maher Nouiehed: The ISE department's best dissertation award, 2020
  • Babak Barazandeh: IEEE Data Science Workshop Best Paper Award, 2019


Appointments
  • Daniel J. Epstein Department of Industrial and Systems Engineering
  • Quantitative and Computational Biology
  • Ming Hsieh Department of Electrical and Computer Engineering
  • Thomas Lord Department of Computer Science
Office
  • OHE 310G
  • Olin Hall of Engineering
  • 3650 McClintock Ave., Los Angeles, CA 90089
  • USC Mail Code: 193
Contact Information
  • razaviya@usc.edu
Links

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