Navid Azizan Ruhi

 

Navid Azizan
Ph.D. Candidate
Amazon Fellow, PIMCO Fellow
Computing + Mathematical Sciences Department
California Institute of Technology

Email: [firstname]@caltech.edu

News

  • Feb 2020: Received the 2020 ITA Graduation-Day Gold Award!

  • On the academic job market this year!

Bio

Navid Azizan is a fifth-year doctoral candidate in CMS at the California Institute of Technology (Caltech), where he is jointly advised by Adam Wierman and Babak Hassibi, and is a member of multiple research groups: DOLCIT, RSRG, and SISL. He was also a research scientist intern at Google DeepMind in 2019. His research interests broadly lie in mathematical optimization, machine learning, networks, and markets. His work has focused on the design and analysis of optimization algorithms for non-convex and networked problems, with real-world applications such as in deep learning, energy markets, distributed computing, and social networks. He received the B.Sc. degree in EE from Sharif University of Technology and the M.Sc. degree in ECE from the University of Southern California, in 2013 and 2015, respectively.

Navid is the recipient of several awards, including the Amazon Fellowship in Artificial Intelligence, the PIMCO Fellowship in Data Science, the 2016 ACM GREENMETRICS Best Student Paper Award, 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

  • Mathematical Optimization

  • Systems and Control

  • Operations Research

  • Networks

  • Market Design

Employment

 

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

  • DOLCIT: Decision, Optimization, and Learning at the California Institute of Technology

  • RSRG: Rigorous Systems Research Group

  • SISL: Social and Information Sciences Laboratory

 

Research Scientist Intern
Google DeepMind, Jun 2019 – Oct 2019

Education

  • Ph.D. in Computing and Mathematical Sciences
    California Institute of Technology
    Jun 2015 – (expected) Jun 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

Foundations of Deep Learning

Markets for the Smart Grid

Algorithms for Distributed Optimization

[Full list of publications]