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Short Bio

Alex Dimakis is a UT Austin Professor and the director of the Texas Center for Generative AI in UT Austin. 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.



Curriculum vitae with full list of publications.

Technical Program Committees

  • AAAI (Area chair), NeurIPS (Area Chair), ICML (Area chair), ICLR, AISTATS, ISIT, MLSys (TPC chair)

  • IEEE Journal on Selected Areas in Information Theory (JSAIT) Lead editor for the Inaugural issue.

  • Associate editor, IEEE Transactions on Information Theory (2014-2019)

  • Associate editor, IEEE Signal Processing (2012-2015)

Awards and Selected presentations

  • Director of the UT Austin Center for Generative AI, 2024.

  • Keynote Speaker, Data Council Conference, 2024.

  • Asilomar Conference on Signals, Systems and Computers, Plenary Talk, 2023.

  • IEEE Fellow for contributions to distributed coding and learning, 2022.

  • Selected as Commissioner. Artificial Intelligence Commission on Competition, Inclusion, and Innovation by the US Chamber of Commerce to provide a roadmap for tech leadership to US policy makers.

  • University of Toronto Department of ECE, Distinguished Lecture, 2019

  • Information Theory and Applications (ITA) Invited Plenary Speaker, 2019

  • 2018 James Massey Award

  • CISS 2018 Invited Plenary speaker, March 2018.

  • Communication Theory Workshop (CTW) Plenary Speaker, May 2015

  • IEEE Distinguished Lecturer (Information Theory Society), 2015.

  • ARO Young Investigator Award, 2014.

  • Communications Society and Information Theory Society Joint Paper Award, 2012

  • Google Research Faculty award

  • IEEE Netcode Keynote speaker, 2010

  • IEEE ComSoc Data Storage Committee Best Paper Award, 2010

  • NSF Career Award, 2011.

  • 2008 Eli Jury Dissertation Award.

  • Microsoft Research Fellowship for 2007-2008.

  • Best Paper award in IEEE/ACM Symposium on Information Processing in Sensor Networks (IPSN ’05).