Alex Dimakis: Faculty Home Page
Alex Dimakis
Professor
Contact Information
Research Support
Frankie Vasquez
fvasquez@berkeley.edu
Biography
Alex Dimakis is a Professor in UC Berkeley in the EECS department. He received his Ph.D. from UC Berkeley and the Diploma degree from NTU in Athens, Greece. He has published more than 150 papers and received several awards including the James Massey Award, NSF Career, a Google research award, the UC Berkeley Eli Jury dissertation award, and several best paper awards. He served as an Associate Editor for several journals, as an Area Chair for major Machine Learning conferences (NeurIPS, ICML, AAAI) and as the chair of the Technical Committee for MLSys 2021. He is an IEEE Fellow for contributions to distributed coding and learning. His research interests include Generative AI, Information Theory and Machine Learning.
Education
2008, Phd, EECS, University of California, Berkeley
2003, Diploma, ECE, National Technical University of Athens
Research Areas
Artificial Intelligence (AI), Generative Models
Information, Data, Network, and Communication Sciences (IDNCS), Information Theory
Teaching Schedule
EE 120. Signals and Systems, MoWe 14:00-15:59, Physics Building 4
CS 189. Introduction to Machine Learning, TuTh 14:00-15:29, Wheeler 150
CS 289A. Introduction to Machine Learning, TuTh 14:00-15:29, Wheeler 150