Jean-Francois Chamberland

About

JF Chamberland is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University. He earned a B.Eng. from McGill University, an M.S. from Cornell University, and a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign. His research interests include information theory and communications, computer systems, statistical inference, decision and control, and learning. Recently, he has focused on the efficient design and fundamental limits of wireless communication networks.

He was invited to present educational innovations at the Frontiers of Engineering Education Symposium, a workshop organized by the National Academy of Engineering. He currently holds an administrative role as Associate Dean for Faculty Success in the College of Engineering.

Employment

• Texas A&M University Professor
  2017 - Present
• Texas A&M University Associate Professor
  2010 - 2017
• Texas A&M University Assistant Professor
  2004 - 2010

Education

• University of Illinois at Urbana-Champaign Ph.D.
  2000 - 2004
• Cornell University M.S.
  1998 - 2000
• McGill University B.Eng.
  1995 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (129)

• Reed–Muller Codes Achieve the Symmetric Capacity on Finite-State Channels
  IEEE International Symposium on Information Theory (ISIT) 2026 DOI: 10.1109/isit62367.2026.11653887
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• Approximate Message Passing for Multi-Preamble Detection in OTFS Random Access
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026 DOI: 10.1109/icassp55912.2026.11460473
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• Prediction-Based Compression Using Large Language Models
  IEEE BITS the Information Theory Magazine 2026 DOI: 10.1109/mbits.2026.3724829
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• Linked-Loop Codes for the Unsourced A- and B-Channels With Erasures
  IEEE Transactions on Communications 2025 DOI: 10.1109/TCOMM.2025.3604325
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• Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
  arXiv 2025 DOI: 10.48550/ARXIV.2508.02731
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• Density Evolution Analysis of Sparse-Block IDMA
  IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC) 2025 DOI: 10.1109/spawc66079.2025.11143516
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• Building stronger faculty-industry engagement for enriched applied engineering education
  ASEE Annual Conference and Exposition 2025 DOI: 10.18260/1-2--56043
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• Work in Progress: Scaffolding faculty success and retention through a learner’s approach to faculty development
  ASEE Annual Conference and Exposition 2025 DOI: 10.18260/1-2--57510
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• Transformers are provably optimal in-context estimators for wireless communications
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
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• Sparse Regression LDPC Codes
  IEEE Transactions on Information Theory 2025 DOI: 10.1109/TIT.2024.3496486
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