Sriram Vishwanath is a Georgia Research Alliance (GRA) Eminent Scholar and Ken Byers Chair in Telecommunications in ECE.
His research is in wireless systems, decentralized infrastructure, and artificial intelligence, and he bridges theory and practice. His research includes multi-antenna and full-duplex wireless, large-scale machine learning, and decentralized platforms for critical infrastructure, manufacturing and automation.
Beyond academia, Vishwanath is both a serial entrepreneur and incubates/accelerates deep tech startups. He also serves as a technical fellow at MITRE Labs. He received his PhD at Stanford University, his MS at Caltech and his BTech at IIT Madras.
- Ph.D., Stanford University
- M.S., California Institute of Technology
- B.Tech., IIT Madras
Professor Vishwanath’s research focuses on fundamental aspects of communication theory and wireless networks. His work addresses information theory, signal processing, and network coding to improve data transmission efficiency and reliability. He explores theoretical foundations and algorithmic development for wireless and networked communication systems, with an aim to advance understanding of capacity limits and resource allocation in complex network environments.
Professor Vishwanath’s teaching interests include core electrical and computer engineering subjects with an emphasis on communication theory, information theory, signal processing and machine learning at both undergraduate and graduate levels. He is dedicated to integrating rigorous mathematical foundations with practical system design principles to prepare students for challenges in modern communication networks and data encoding strategies.
- Fellow, IEEE
- Senior Member, NAI
- Y. Georghiades, T. Tanaka, S. Vishwanath, Mean Field Analysis of Blockchain Systems, arXiv:2601.05417, 2026.
- N. Nicolaou et al., OPTIMUM‑DERAM…, arXiv:2601.13146, 2026.
- D. Rawal, S. Vishwanath, Minimax Rates for Hyperbolic Hierarchical Learning, arXiv:2601.20047, 2026.
- V. Bhargava, S. Vishwanath, J. Jose, Methods and Apparatuses for Relaying Data…, US Patent App. 19/212,628, 2025.
- Y. Georghiades et al., Majority is Not Required…, Distributed Ledger Technologies 5(1), 1–19, 2025.
- Information Theory: S. Vishwanath, N. Jindal and A. Goldsmith, "Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels," in IEEE Transactions on Information Theory, 2003.
- Coding Theory: A. S. Rawat, O. O. Koyluoglu, N. Silberstein and S. Vishwanath, "Optimal Locally Repairable and Secure Codes for Distributed Storage Systems," in IEEE Transactions on Information Theory, 2014.
- AI/ML: Philippe Hansen-Estruch et al. "Learnings from Scaling Visual Tokenizers for Reconstruction and Generation", In ICML, 2025.
- Distributed Systems: Haoxiang Yu et al, "iDOL: Incentivized Decentralized Opportunistic Learning", in MASS, 2024.