Sidney D’Mello is an Assistant Professor in the departments of Psychology and Computer Science at the University of Notre Dame. His primary research interests are in the cognitive and affective sciences, artificial intelligence, human-computer interaction, and the learning sciences. More specific interests include affective computing, artificial intelligence in education, speech recognition and natural language understanding, and computational models of human cognition.
His research focuses on uncovering the incidence, dynamics, and influence of affective and cognitive states (e.g., confusion, boredom, mind wandering, frustration) during complex learning and problem solving, applying computational techniques to model these states in context, and integrating the models in learning environments to adaptively respond to the sensed states. His research uses a range of techniques and paradigms ranging from eye tracking, discourse modeling, speech recognition, physiological sensing, facial feature and posture tracking, nonlinear time series analyses, and machine learning. Learning contexts range from advanced learning technologies such as intelligent tutoring systems and educational games to simpler interfaces that support reading, text-diagram integration, and writing.
I am currently looking for a postdoc with expertise in Automatic Speech Recognition and Dialog-Centered Natural Language Understanding. Get more information here.
I am currently accepting graduate students so please drop me a note if you would be interested in working with me (both Psych and CSE students are welcome). It is also possible to get a joint PhD in Psychology and Computer Science. Get more information here.