معرفی
Dr. Sriram Vishwanath is an Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He specializes in information theory, wireless communications, and coding theory with industry experience at National Semiconductor and Lucent Bell Labs. His research explores cutting-edge topics in full-duplex communication systems, blockchain technologies, machine learning applications, and network security.
Education:
- B.Tech in Electrical Engineering from Indian Institute of Technology (IIT) Madras
- M.S. in Electrical Engineering from California Institute of Technology (CalTech)
- Ph.D. in Electrical Engineering from Stanford University
Research Interests:
- Information Theory: Developing foundational principles for data transmission and compression
- Wireless Communications: Innovating full-duplex systems and interference management techniques
- Coding Theory: Designing robust error-correcting codes for modern networks
- Blockchain & DeFi: Applying game theory to decentralized financial systems
- Machine Learning: Exploring generative models, adversarial attacks, and compressed sensing
Recent Research Trends: His work increasingly bridges theoretical foundations with practical implementations in areas like AI-driven signal processing, blockchain security mechanisms, and scalable network protocols. Notable contributions include full-duplex millimeter-wave systems and incentive-driven decentralized learning frameworks.
Awards:
- NSF CAREER Award
- 2005 IEEE Joint IT/Comsoc Best Paper Award
- 2014 Longhorn Entrepreneurship Agency Entrepreneur of the Year
Advising & Grants: Advises graduate students on interdisciplinary projects at the intersection of communications and AI. Actively secures NSF and industry grants for research in full-duplex radios and blockchain scalability.
Labs/Teams: Leads research groups focused on next-generation communication systems and decentralized technologies within the UT Austin Electrical Engineering department.
