• Professor, Electrical & Computer Engineering
  • Sanchez Chair Professor
Krishna Narayanan

Educational Background

  • Ph.D., Electrical Engineering, Georgia Institute of Technology – 1998
  • M.S., Electrical Engineering, Iowa State University – 1994
  • B.S., Electrical Engineering, Coimbatore Institute of Technology, India – 1992

Research Interests

    • Artificial Intelligence (AI) native wireless communications
    • Large language models (LLMs) and Transformers
    • Massive multiple access, integrated sensing and communications, and semantic communications 
    • Information theory and coding theory
    • Signal processing algorithms for big data

Certifications & Memberships

  • Elected Fellow, Institute of Electrical and Electronics Engineers

Awards & Honors

  • Institute of Electrical and Electronics Engineers joint Communications Society and the Information Theory Society best paper award – 2022
  • University-level teaching award, Texas A&M University Association of Former Students – 2018
  • Eric D. Rubin ’06 Professor – 2016
  • Professional progress in engineering distinguished alumni award, Iowa State University – 2015

Selected Publications

  • C.S.K. Valmeekam, K.R. Narayanan, et al. "LLMZip: Lossless text compression using large language models", arxiv e-prints, arXiv:2306.04050, 2023
  • Teja Kunde et al, "Transformers are Provably Optimal In-context Estimators for Wireless Communications", arXiv e-prints, arXiv:2311.00226, 2024
  • S.K. Ankireddy, H. Kim, and K.R. Narayanan, "LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback", to appear in IEEE Journal of Selected Areas in Communications, 2025
  • Z. Xuan and K.R. Narayanan, "Low-delay Analog Joint Source-Channel Coding with Deep Learning", IEEE Transactions on Communications, 71 (1), 40-51, 2023
  • V. Amalladinne, J.-F. Chamberland, and K.R. Narayanan, "A Coded Compressed Sensing Scheme for Unsourced Multiple Access", IEEE Transactions on Information Theory, 66 (10), 6509-6533, 2020