- Professor, Electrical & Computer Engineering
 - Edgar and Yolanda Sanchez Endowed Chair
 
- Phone: 979-862-2691
 - Email: krn@tamu.edu
 - Office: WEB 334K
 - Website: Personal Website
 
				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