Navid Azizan Ruhi

 

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

Email: [firstname]@caltech.edu

About

Navid Azizan is a Ph.D. Candidate in Computing and Mathematical Sciences (CMS) — Caltech's unique interdisciplinary program around data science and machine learning. He is jointly advised by Adam Wierman and Babak Hassibi, 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 electrical engineering. His research interests broadly lie in machine learning, mathematical optimization, control, and network theory. His current focus is on analysis and design of stochastic and distributed optimization algorithms for machine learning and other purposes, and 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.