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Signal Processing and Machine Learning

Signal processing and machine learning are two diverse disciplines that have come together in the past decade through the growth of important application fields such as Computer Vision and Speech Processing. Modern research in signal processing and machine learning encompasses a broad range of technologies, from advanced audio technology to multimedia to cybersecurity. This research area is also closely connected to the work of the Center for Visualization and Virtual Environments, a multidisciplinary research center focused on creating technology that transforms how we see the world.

Researchers

Blazie Professor

Professor, James F. Hardymon Chair in Network Engineering

DataBeam Professor

Emeritus

Professor, Department Chair

Kentucky Utilities Professor

Professor

Assistant Professor