David G. Cooper is an Assistant Professor of Computer Science at Cheyney University. He holds an M.S. and a Ph.D. in Computer Science from the University of Massachusetts Amherst. His doctoral dissertation focused on computational affect (emotion) detection
. He earned his B.S. in Cognitive Science from Carnegie Mellon University. While working as a software engineer at Lockheed Martin, David was on a team to prototype distributed data fusion software for helicopter communication, and was able to test the software while in flight on a Black Hawk helicopter. David's research has ranged from human robot interaction in the Robot Tug of War project to emotion detection for a computerized geometry tutor for middle and high school students. He has published work on affective computer tutors, cognitive agent architectures, emotional robotics, evolutionary agent learning, and sensor data fusion. His research interests include emotional and cognitive models of human interaction, visual and auditory emotion recognition, sensor integration for computer awareness, biologically inspired computation, computational assistive technology, user modeling, transfer learning, and machine learning.
Ph.D. Thesis: Computational Affect Detection for Education and Health