Anand D. Sarwate

Anand D. Sarwate is a Professor in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey. He holds additional appointments in the graduate faculties of Computer Science and Statistics. His research bridges probability, mathematical statistics, and optimization, focusing on information theory, communication, signal processing, and machine learning in distributed systems with constraints like privacy, bandwidth, and latency.

Education:

• Ph.D., University of California, Berkeley

Research Trends: His recent publications (2023-2025) emphasize differential privacy, adversarial models in communication, tensor signal processing, federated learning, and neuroimaging analysis. A 2024 monograph on adversarial channel models synthesizes 15+ years of work in coding theory.

Scientific Awards:

• Presidential Outstanding Faculty Scholar Award, Rutgers (2025)
• IEEE Information Theory Society Distinguished Lecturer (2024-2025)

Collaborative Platforms: He actively develops and uses COINSTAC, a federated learning framework for neuroimaging analysis, enabling decentralized studies across multiple institutions.