Dr. Sein Minn
Faculty of Technology
Dr. Sein Minn is an Assistant Professor in the Data Science and Artificial Intelligence and Computer Science programs within the Department of Information and Communications Technologies (ICT). He earned his Ph.D. in Computer Engineering from the Université de Montréal, where he advanced student knowledge tracing and Q-matrix refinement through AI and machine learning techniques. Prior to his current role, he held research positions at INRIA, École Polytechnique, CNRS, and the Université du Québec à Montréal, leading projects on interpretable AI for education. Dr. Minn has published in leading venues such as AAAI, AIED, and ICDM, and serves as a reviewer and review editor for major journals including IEEE Transactions on Education and Frontiers in AI. His work, supported by grants from NSERC, Inria, and international partners, reflects his commitment to advancing trustworthy, adaptive AI for learning and beyond.
- Ph.D. in Computer Engineering (AI in Education), Université de Montréal, Canada 2020
- M.Eng. in Software Engineering, Huaqiao University, P.R.China 2015
- B.C.Sc. in Comptuer Science, University of Computer Studies Yangon, Myanmar 2010
- His research focuses on human-centered and interpretable AI, bridging machine learning, user modeling, and cognitive modeling to develop adaptive, transparent systems that align trust and effectiveness in real-world applications.
- Machine Learning
- Computer Programming for Data Science and Artificial Intelligence
- Sein Minn*, Michel C. Desmarais, Yi Yu, Feida Zhu, Jill-Jênn Vie — “Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing”, Proceedings of the 18th IEEE International Conference on Data Mining, Singapore, Nov 2018.
- Sein Minn*, “AI-assisted Knowledge Assessment Techniques for Adaptive Learning Environments”, Journal of Computers&Education: Artificial Intelligence, Feb 2022.
- Sein Minn*, Michel C. Desmarais, Shunkai Fu — “Refinement of a Q-matrix with an ensemble technique based on multi-label classification algorithms”, LNCS, European Conference on Technology-enhanced Learning, Lyon, France, September 2016.
- Sein Minn*, Michel C. Desmarais, Feida Zhu, “Dynamic Student Classification on Memory Networks for Knowledge Tracing”, Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Macau, April 2019.
- Sein Minn*, “AI-assisted Knowledge Assessment Techniques for Adaptive Learning Environments”, Journal of Computers & Education: Artificial Intelligence, Feb 2022.
- Sein Minn*, Roger Nkambou — “Enhanced Interpretable Knowledge Tracing for Students’ Performance Prediction with Human-understandable Feature Space”, Proceedings of the 26th International Conference on Artificial Intelligence in Education, Palermo, Italy, July 2025.
- Sein Minn*, Shunkai Fu, Michel C. Desmarais, “Efficient Learning on General Bayesian Network Classifier by Local Adaptive Search”, Proceedings of the 1st IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, Oct 2014.
- Cognitive-Pilot, NSERC, Canada (2024), Participant.
- Optimal Policy Active Learning for Education, Joint team project grant between Inria and Kyoto University, 2021-2023; Inria, France. Co-Investigator.
- Algorithms and Applications of Learned Student Models for Adaptive Learning Systems, 2017-2020; NSERC, Canada, Participant.
- Postdoctoral research fellowship (2020- 2021) Inria, France.
- Visiting fellowship (2018-2019), Singapore Management University, Singapore.
- Research internship (2018-2019) National Institute of Informatics, Tokyo, Japan.
- Program Committee member: AIED 2020-2025, Big Data 2022-2025, EDM 2023-2025, ICCE 2025, ICDM 2025, AAAI 2025
- Review Editor: Editorial Board of Frontiers in AI
- Reviewer: AIED, EDM, ToE, DMKD, BigData, MDPI Info, TLT
- Session Chair : ICDM Ph.D forum, 2018
AAAI: The AAAI Conference on Artificial Intelligence
AIED: International Conference on Artificial Intelligence in Education
EDM: International Conference on Educational Data Mining
BigData: IEEE International Conference on BigData
ICDM: IEEE International Conference on Data Mining
ICCE: International Conference on Computers in Education
DMKD: Springer Journal of Data Mining and Knowledge Discovery
MDPI Info: MDPI Journal of Information
ToE: IEEE Transactions on Education
TLT: IEEE Transactions on Learning Technologies
Editorial Board: AI for Human Learning and Behavior Change, Frontiers in Artificial Intelligence.
- Machine Learning
- Data Mining
- AI in Education
- Learning Science
- Technology Enhanced Learning
- Explainable AI
