Navid Azizan Ruhi

 

Navid Azizan, PhD
Postdoctoral Scholar
Autonomous Systems Laboratory (ASL)
Stanford University

Email: azizan@{mit/stanford/caltech}.edu

News

  • I will be joining the faculty of MIT in Fall 2021!

  • I am co-organizing the “Control meets Learning” virtual seminar series!

Bio

Dr. Navid Azizan is an incoming tenure-track professor at the Massachusetts Institute of Technology (MIT), with dual appointments in MechE and IDSS, and currently a postdoctoral scholar in the Autonomous Systems Laboratory at Stanford University. His research interests broadly lie in machine learning, mathematical optimization, control theory, and network science. He has made contributions to various aspects of large-scale intelligent systems, such as the design and analysis of optimization algorithms for non-convex and networked problems, with applications to deep learning, the smart grid, distributed computation, epidemics, and autonomy. He obtained his PhD degree in computing and mathematical sciences from the California Institute of Technology (Caltech), where he was a member of DOLCIT, RSRG, and CSIS. He was also a research scientist intern at Google DeepMind in 2019. He is the recipient of several awards, including the 2020 ITA Graduation-Day Gold Award, the 2016 ACM GREENMETRICS Best Student Paper Award, the Amazon Fellowship in Artificial Intelligence, the PIMCO Fellowship in Data Science, the Caltech CMS Fellowship, and the USC Provost's Fellowship. He was also the first-place winner and a gold medalist at the 2008 National Physics Olympiad in Iran.

Research Interests

  • Machine learning, AI, and intelligent systems

  • Dynamical systems, control, and autonomy

  • Networked systems and smart grids

Employment

 

Tenure-Track Assistant Professor
Massachusetts Institute of Technology, Starting Fall 2021

 

Postdoctoral Scholar
Stanford University, Dec 2020 – Present

 

Graduate Research/Teaching Assistant
California Institute of Technology, Jun 2015 – Aug 2020

 

Research Scientist Intern
Google DeepMind, Jun 2019 – Oct 2019

Education

  • Ph.D. in Computing and Mathematical Sciences
    California Institute of Technology
    Co-advised by Adam Wierman and Babak Hassibi
    Jun 2015 – Aug 2020

  • M.Sc. in Electrical and Computer Engineering
    University of Southern California
    Aug 2013 – May 2015

  • B.Sc. in Electrical Engineering with Minor in Physics
    Sharif University of Technology
    Sep 2009 – Jul 2013

Representative Publications

Deep Learning and Autonomy

Foundations of Deep Learning

Markets for the Smart Grid

Algorithms for Distributed Optimization

Epidemics in Complex Networks

[Full list of publications]