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Sidney D'Mello

Sidney D'Mello

Adjunct Associate Professor

Department of Computer Science and Engineering

Adjunct Associate Professor
College of Engineering


Phone: 574-631-1822

Office: 352 Fitzpatrick Hall and 224C Hagar Hall


Ph.D., Computer Science, University of Memphis, 2009

M.S., Mathematical Sciences, University of Memphis, 2004

B.S., Electrical Engineering, Christian Brothers University, 2002


Sidney D’Mello is an Associate Professor in the departments of Psychology and Computer Science at the University of Notre DameHis 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. 

D'Mello's 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. D'Mello has co-edited five books and has published over 180 journal papers, book chapters, and conference proceedings in these areas. 

D’Mello is an associate editor for IEEE Transactions on Affective Computing and IEEE Transactions on Learning Technologies, a senior reviewer for the Journal of Educational Psychology, and serves on the executive board of the International Artificial Intelligence in Education Society and Educational Data Mining Society.

Summary of Activities/Interests

Affective computing, human-computer interaction, artificial intelligence, advanced learning technologies


Milestone - Robert Bixler, Oral Candidacy

November 29, 2016

Robert Bixler, a CSE PhD candidate, successfully presented and defended his proposal; "Detecting Mind Wandering across Domains using Temporal Models of Eye Gaze" and has passed his Oral Candidacy Exam. His adviser, Dr. Sidney D'Mello and committee members, Dr. Adam Czjaka, Dr. Ron Metoyer, Dr. Chaoli Wang were in attendance.

Congratulations! Dr. Nigel Bosch, PhD

November 29, 2016

Nigel Bosch, a CSE PhD candidate, successfully presented and defended his dissertation; "Automatic Face-based Engagement Detection for Education" and will graduate with his PhD in January 2017. His adviser, Dr. Sidney D'Mello, along with his committee members, Dr. Patrick Flynn, Dr. Ron Metoyer and Dr. Aaron Striegel were in attendance.

Blending Psychology and Computer Science, Professor Seeks to Build Technologies That Help Humans Learn

January 14, 2016

Assistant Professor Sidney D’Mello is tackling research at the intersection of cognition and emotion during complex learning and problem-solving. Through several projects he’s leading or collaborating on, he is creating real-time computational models with the goal of making computers more humanlike so they can guide us in learning — at work, at school, and in daily life.

How Researchers Are Turning "Star Wars" Droids into Reality

December 15, 2015

The enduring popularity of and interest in "Star Wars," C-3PO, and R2-D2 speaks to the fascination many people have with robotics and artificial intelligence. Although no one will have their own C-3PO soon, a number of University of Notre Dame researchers are working to make droids more science fact than science fiction.

Researchers Aim to Refocus Wandering Minds

October 9, 2015

University of Notre Dame researcher Sidney D’Mello and colleagues are researching the “mind wandering” phenomena and developing a software system that can both detect when a person’s focus shifts from the task at hand and get that person to refocus.