Matthieu R. Bloch

School of Electrical and Computer Engineering, Georgia Institute of Technology

Matthieu R. Bloch is a Professor in the School of Electrical and Computer Engineering. He received the Engineering degree from Supélec, Gif-sur-Yvette, France, the M.S. degree in Electrical Engineering from the Georgia Institute of Technology, Atlanta, in 2003, the Ph.D. degree in Engineering Science from the Université de Franche-Comté, Besançon, France, in 2006, and the Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in 2008. In 2008-2009, he was a postdoctoral research associate at the University of Notre Dame, South Bend, IN. Since July 2009, Dr. Bloch has been on the faculty of the School of Electrical and Computer Engineering, and from 2009 to 2013 Dr. Bloch was based at Georgia Tech Lorraine. His research interests are in the areas of information theory, error-control coding, wireless communications, and cryptography. Dr. Bloch has served on the organizing committee of several international conferences; he was the chair of the Online Committee of the IEEE Information Theory Society from 2011 to 2014, an Associate Editor for the IEEE Transactions on Information Theory from 2016 to 2019 and again bewteen 2021 and 2024, and he was on the Board of Governors of the IEEE Information Theory Society between 2016 and 2025, serving as the President in 2023. He was an Associate Editor for the IEEE Transactions on Information Forensics and Security from 2019 to 2023. He is the co-recipient of the 2011 IEEE Communications Society and IEEE Information Theory Society Joint Paper Award, the 2025 IEEE Joy Thomas Tutorial Paper Award, the 2026 IEEE Communications Society and IEEE Information Theory Society Joint Paper Award, and the co-author of the textbook Physical-Layer Security: From Information Theory to Security Engineering published by Cambridge University Press.

recent works

  1. S. Guo, T. Kann, T. Baluta, and M. R. Bloch, “Covert Multi-bit LLM Watermarking: An Information Theory and Coding Approach.” accepted to IEEE Information Theory WOrkshop, Jul. 2026.
  2. N. A. Kherani, U. Mitra, A. D. Sarwate, and M. R. Bloch, “RandModShift: Model and Data Privacy in Federated Inference,” in 2026 IEEE International Conference on Communications Workshops (ICC Workshops), May 2026, pp. 1–6.
  3. T. Kann, S. Kudekar, and M. R. Bloch, “Quantum Precoded Polar Codes.” accepted to IEEE Information Theory Workshop, May 2026.
  4. Y.-F. Lo and M. R. Bloch, “Covert Bayesian Quickest Change Detection.” accepted to IEEE Information Theory Workshop, May 2026.