Sidharth Jaggi

Sidharth Jaggi is a Professor in the School of Mathematics at the University of Bristol, specializing in Information Theory and Coding Theory with applications in secure data systems. His work provides unconditional information-theoretic security guarantees for communication/storage systems under malicious attacks.

Education:

• B.Tech
• M.Phil
• PhD

Research Focus: Professor Jaggi develops theoretical frameworks for adversarial communication, covert channels, and sparse signal estimation. His CAN-DO-IT research team (Codes, Algorithms, Networks – Design and Optimization for Information Theory) bridges abstract mathematics with real-world applications in distributed data storage, secure computing, and epidemic testing via group-testing methodologies. Key innovations include fundamental limits for stealthy communication and robust coding against jamming adversaries.

Publication Trends: Recent works analyze density-dependent group testing structures, causality benefits in security against limited-view adversaries, and hybrid coding strategies for jamming channels. These publications demonstrate convergence of information theory, high-dimensional geometry, and optimization for next-generation secure data systems.

Research Leadership:

• Principal Investigator for "Information Theory for Interactive Distributed AI" (2024-2029)

Research Group: Leads the CAN-DO-IT team focusing on theoretical foundations for secure, robust information systems with tangible industrial applications in data processing infrastructure.