SEIN MINN, Ph.D.
I am an AI researcher with a strong focus on interdisciplinary studies. My research interests span across user modeling, data mining, big data analysis, and the application of artificial intelligence in education. I am currently with AI Research Center - Université du Québec à Montréal, Montreal, Canada. I also worked as a researcher at École Polytechnique, Institut Polytechnique de Paris, and Inria Saclay Île-De-France in France.
I received Ph.D. in Computer Engineering from University of Montreal in Canada. I also was a research fellow at Inria in France, Singapore Management University in Singapore, National Institute of Informatics in Japan, and Huaqiao University in China.Recent Output
*"LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations", Arxiv 2023 [preprint] paper, code
*"Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality", ICDM 2023, CXAI paper
*"AI-assisted Knowledge Assessment Techniques for Adaptive Learning Environments", [ Computers and Education: Artificial Intelligence, 2022] paper
*"Interpretable Knowledge Tracing: Simple and Efficient Way for Student Modeling with Causal Relations" AAAI, 2022 paper, code
*"Privacy-Preserving Synthetic Educational Data Generation" EC-TEL, 2022 paper
Service
Program Committee: AIED 2020-2024, BigData 2022-2024, EDM 2023-2024, ICCE 2024Review Editor: Editorial Board of Frontiers in AIReviewer: AIED, EDM, ToE, TLT, DMKD, MDPI Info, BigDataSession Chair: ICDM Ph.D. forum
Conferences
AIED: International Conference on Artificial Intelligence in Education.EDM: International Conference on Educational Data MiningBigData: IEEE International Conference on BigDataICDM: IEEE International Conference on Data MiningICCE: International Conference on Computers in EducationJournals
TLT: IEEE Transactions on Learning TechnologiesToE: IEEE Transactions on EducationDMKD: Data Mining and Knowledge DiscoveryMDPI Info: Journal of Information Editorial Board: AI for Human Learning and Behavior Change, Frontiers in Artificial IntelligenceInvited talk @ NUS AI Health Community, National University of Singapore - Singapore, Aug 2024
Invited talk @ SODA, Inria - Saclay, Paris, Dec 2021
Invited talk @ MOCAH, LIP6, Sorbonne Université, Paris, Nov 2021
Invited talk @ D-VET, EPFL, Oct 2021
Invited talk @ Yong Scholar Forum, Beijing Normal University, Dec 2020
Visiting @ Singapore Management University, Singapore, 2018-2019
Visiting @ National Institute of Informatics, Tokyo, 2017-2018
Contact: first.last.cs@gmail.com