Sidharth Jaggi

Sidharth Jaggi is a Professor at the School of Mathematics, University of Bristol, with over 19 years of experience in Information and Data Sciences through the lens of Information Theory. His work emphasizes fundamental performance limits and algorithm design for systems under adversarial threats.

• Education: B.Tech, M.Phil, PhD

Research interests focus on adversarial communication, information-theoretic security, coding theory, and sparse data estimation. He leads the CAN-DO-IT team (Codes, Algorithms, Networks – Design and Optimization for Information Theory), integrating theoretical tools into practical applications like secure distributed computing and robust data storage.

Recent publications highlight advancements in adversarial channels, group testing, and privacy-preserving coding. Trends include covert communication under spectral constraints, causal feedback benefits, and efficient algorithms for high-dimensional problems.

Current projects include "Information Theory for Interactive Distributed AI" (2024–2029), exploring interactive systems under adversarial constraints.