Signal Processing and Machine Learning
The Signal Processing and Machine Learning Technical Area offers several graduate courses in topics related to signal processing, machine learning, and neural nets. Faculty and students in this TA perform research in image coding, design and application of neural nets, deep learning, machine learning, intelligent processing in sensor networks, haptics, and neuromorphic circuit design.
Dr. Venkat Devarajan. Image processing, virtual reality and digital photogrammetry.
Dr. Ramtin Madani. Electrical power systems, microgrids, power conversion and control, energy storage.
Dr. Michael T. Manry. Neural networks, deep learning, convolutional neural nets, statistical pattern recognition.
Dr. Chenyun Pan. Beyond-CMOS Nanoelectronic devices and interconnects exploration, neuromorphic circuit design for deep learning applications, nonvolatile memory design, VLSI system design, hardware security.
Dr. Ioannis D. Schizas. Machine learning, statistical signal processing, data analytics, optimization.
Dr. Diana Huffaker
Professor and Chair
Dr. Jonathan Bredow
Professor & Associate Chair
Dr. Sungyong Jung
Associate Professor & Associate Chair