Navid Azizan Ruhi

 

Navid Azizan
Assistant Professor
LIDS, MechE, & IDSS
Massachusetts Institute of Technology

Email: [last name]@mit.edu

News

Bio

Navid Azizan is an Assistant Professor at the Massachusetts Institute of Technology (MIT) in the Laboratory for Information & Decision Systems (LIDS), the Department of Mechanical Engineering (MechE), and the Institute for Data, Systems, and Society (IDSS), as part of the new College of Computing. His research interests broadly lie in machine learning and AI, optimization, dynamical systems and control theory, and network science. His research lab focuses on various aspects of enabling large-scale intelligent systems, with an emphasis on principled learning and optimization algorithms, with applications in autonomous systems and societal networks. He obtained his PhD in Computing and Mathematical Sciences (CMS) from the California Institute of Technology (Caltech), co-advised by Babak Hassibi and Adam Wierman, in 2020, his MSc in electrical engineering from the University of Southern California in 2015, and his BSc in electrical engineering with a minor in physics from Sharif University of Technology in 2013. Prior to joining MIT, he completed a postdoc in the Autonomous Systems Laboratory (ASL) at Stanford University from December 2020 to August 2021. Additionally, he was a research scientist intern at Google DeepMind in 2019. His work has been recognized by several awards, including the 2020 Information Theory and Applications (ITA) Gold Graduation Award and the 2016 ACM GreenMetrics Best Student Paper Award. He was named an Amazon Fellow in Artificial Intelligence in 2017 and a PIMCO Fellow in Data Science in 2018. He was also the first-place winner and a gold medalist at the 2008 National Physics Olympiad in Iran.

Research Interests

  • Machine learning and AI

  • Optimization and control

  • Autonomous systems

  • Networked systems and smart grids

Employment

 

Tenure-Track Assistant Professor
Massachusetts Institute of Technology, Jul 2021 – Present

 

Postdoctoral Fellow
Stanford University, Dec 2020 – Aug 2021

 

Ph.D. Student
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 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 Computation

Spreading Processes in Complex Networks

[Full list of publications]