Navid Azizan Ruhi

 

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

Email: [firstname]@caltech.edu

Bio

Navid Azizan is a doctoral candidate at the California Institute of Technology (Caltech) in Computing and Mathematical Sciences (CMS) — the interdisciplinary program around data science and machine learning — where he is jointly advised by Babak Hassibi and Adam Wierman, and is a member of RSRG, DOLCIT, and SISL. He received the B.Sc. degree form Sharif University of Technology and the M.Sc. degree from the University of Southern California, in 2013 and 2015, respectively. His research interests broadly lie in machine learning, mathematical optimization, control, and network theory. His current focus is on design and analysis of distributed and stochastic optimization algorithms for machine learning and other applications, and on the role of optimization in generalization of deep nets.

Navid is the recipient of several awards, including the inaugural Amazon Fellowship in Artificial Intelligence, the PIMCO Graduate Fellowship, the 2016 ACM GreenMetrics Best Student Paper Award, the Computing and Mathematical Sciences Fellowship, the USC Provost's Fellowship, and the INEF Tier 1 Scholarship. He was also the first-place winner and a gold medalist at the 2008 National Physics Olympiad in Iran.