Navid Azizan Ruhi

 

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

Email: [firstname]@caltech.edu

About

Navid Azizan-Ruhi is a Ph.D. Candidate in Computing and Mathematical Sciences (CMS), which is Caltech's unique interdisciplinary program around machine learning. He received the B.Sc. degree form Sharif University of Technology, and the M.Sc. degree from the University of Southern California. At Caltech, he is jointly advised by Adam Wierman and Babak Hassibi, and he is a member of RSRG, DOLCIT, and SISL. His research interests lie at the intersection of machine learning, mathematical optimization, and complex networks.

He was the first-place winner and a gold medalist at the 21st National Physics Olympiad in Iran. His work has been recognized with several awards, including the inaugural Amazon Fellowship in Machine Learning and Artificial Intelligence, the 2016 ACM GreenMetrics Best Student Paper Award, the Computing and Mathematical Sciences Fellowship, the USC Provost's Fellowship, and the INEF Tier 1 Fellowship.