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Sidharth Jaggi is a professor at the University of Bristol, specializing in the fields of Information Theory, Coding Theory, and Algorithm Design. Over the past 19 years, his research has concentrated on array problems within Information Data Sciences while emphasizing the derivation of fundamental performance limits and the development of algorithms that approach these limits. His work notably focuses on information storage, communication/processing systems, and security against eavesdropping and jamming by malicious parties, contributing tools that provide unconditional information-theoretic security guarantees. Jaggi leads a research group known as CAN-DO-IT, which explores the intersections of Information Theory, Coding Theory, high-dimensional geometry, estimation theory, and optimization. He aims to solve mathematical problems that have real-world implications across various data-driven applications, including large-scale data processing and robust data storage and communication systems. His recent projects include advanced topics such as covert and stealthy communication techniques, adversarial communications in the presence of malicious actions, and estimating sparse patterns in large datasets.
University of Bristol • Bristol, England
Leading research in Information Theory and related fields.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.