Mi Zhang's Profile Picture

Mi Zhang

Associate Professor
Department of Electrical and Computer Engineering
Department of Computer Science and Engineering
Michigan State University

mizhang [at] egr [dot] msu [dot] edu
(517) 432-4682
Office: 3530 Engineering Building (Map)
Lab: 1228 Engineering Building


I am the Director of Machine Learning Systems (MLSys) Group at Michigan State University (MSU). My students and I work on topics at the intersection of systems and machine intelligence, with current focus on On-Device AI for mobile, AR, and IoT (TinyML), Automated Machine Learning (AutoML), Federated Learning, Systems for Machine Learning, Machine Learning for Systems, and AI for Healthcare.

Short Bio
: I received my B.S. in Electrical Engineering and a minor in Computer Science from Peking University in China. I received my Ph.D. in Computer Engineering and M.S. in both Electrical Engineering and Computer Science from University of Southern California (USC) advised by Prof. Alexander Sawchuk. Before joining MSU in Fall 2014, I was a Postdoctoral Associate in Computing and Information Science at Cornell University for one year, working with Prof. Tanzeem Choudhury.

Recent Awards

  • 2020
    : Facebook Faculty Research Award
  • 2020
    : MSU Innovation of the Year Award
  • 2019
    : Amazon AWS Machine Learning Research Award
  • 2019
    : Google MicroNet Challenge (CIFAR-100 Track) 4th Place Winner @ NeurIPS'19
  • 2019
    : Best Paper Award Nominee, ICCV'19 Neural Architects Workshop
  • 2019
    : Google Security Reward
  • 2018
    : Best Paper Award, IEEE CNS'18
  • 2017
    : NSF Hearables Challenge Third Place Winner
  • 2017
    : NIH Mobile Health (mHealth) Scholar
  • 2016
    : NSF CRII Award
  • 2016
    : NIH Pill Image Recognition Challenge Champion
  • 2015
    : Best Paper Award Honorable Mention, ACM UbiComp'15
  • 2015
    : All-Time Top Article, JMIR

Recent News


Our research is generously supported by the following federal agencies and industry partners. We express our sincere gratitude to their support.


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