Sidney D’Mello is an Assistant Professor in the departments of Psychology and Computer Science at the University of Notre Dame. His research is at the intersection of the cognitive, affective, computing, and learning sciences. Specific interests include affective computing, attentional computing, intelligent learning environments, speech and language processing, human-computer interaction and computational models of cognition.


I am always interested in accepting motivated graduate students. 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.

D'Mello's conducts basic research on affective and cognitive states (e.g., confusion, boredom, mind wandering) during complex learning and problem solving, develops real-time computational models of these states, and integrates the models in learning environments that intelligently respond to learner mental states. 

His research uses a range of techniques such as eye tracking, speech recognition, physiological sensing, computer vision, nonlinear time series analyses, discourse modeling, and machine learning. 

The learning contexts range from advanced learning technologies such as intelligent tutoring systems and educational games to simpler interfaces for reading, text-diagram integration, and writing. Data is collected in the lab, online, and in schools.

D'Mello has co-edited five books and has published over 200 journal papers, book chapters, and conference proceedings in these areas. He is an associate editor for IEEE Transactions on Affective Computing, IEEE Transactions on Learning Technologies, and IEEE Access. He serves on the editorial boards of the International Journal of Artificial Intelligence in Education and Frontiers in Psychology-Human Media Interaction Section. D'Mello also serves on the executive board of the International Artificial Intelligence in Education Society and the International Educational Data Mining Society. 

Download CV here