Kai-Min Kevin Chang
Dr. Kevin Kai-Min Chang received his Ph.D. and M.S. from Carnegie Mellon University. His research interests include using mathematical methodologies and machine learning techniques to investigate and model various human cognitive processes in the brain. In particular, He has studied semantic presentation of concepts and multi-words phrases using functional Magnetic Resonance Imaging and knowledge representation in the context of an intelligent tutoring system. His current research projects use consumer EEG devices to help improve intelligent tutoring systems and automatic speech recognizers in dialog systems by monitoring and recording users’ mental state, such as affection, engagement, etc.