Dr. Amir Weiss

Selected Research Areas

My research group works on a broad range of problems related, among other things, to applications in localization, communications, and compression. In developing innovative solutions and analyzing them theoretically, we promot a judicious integration of classical and modern techniques. On this page, you will find a few examples of research topics we have been pursuing in recent years.

Joint Compression and Estimation

Goal-oriented compression for estimation (e.g., localization) in distributed systems under communication constraints, including theoretical analysis and practical solution schemes.

RF Signal Separation Using Machine Learning Techniques

Deep learning-based algorithms for RF signal separation, with applications in interference mitigation for advanced communication systems

Underwater Acoustic Localization

Underwater acoustic localization algorithms with environmental uncertainty, multipath propagation, and absence of line-of-sight, including performance bounds across a range of scenarios.