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.
Signal Processing and Machine Learning
Professor, James F. Hardymon Chair in Network Engineering
Professor, Department Chair