Paul Watta

Paul Watta is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from Wayne State University and has an active research profile in artificial intelligence, neural networks, and vehicle-to-vehicle communication systems.

His research focuses on Artificial Intelligence, Machine Learning, and Autonomous Vehicle Technologies, with specific interests in V2V communication, deep learning for position estimation, and AI applications in healthcare. He has collaborated with institutions like Ford Motor Company and M-Vision Inc. on grants related to vehicle safety systems and AI-driven data reduction.

• Education: Ph.D. in Electrical Engineering, Wayne State University
• Key Collaborators: Y. Murphey, I. Kolmanovsky, S. Wang

His scholarly output spans journals like IEEE Access and Cognitive Computation, with a focus on neural network implementations and vehicular safety systems. While not explicitly listing awards, his funded projects highlight significant industry and federal support for his research.