The existence of a problem in knowledge depends on the future being different from the past, while the possibility of a solution of the problem depends on the future being like the past. (Frank Knight, 1921)
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I am an AI researcher focused on building adaptive, interpretable systems at the intersection of machine learning, user modeling, and cognitive modeling. While my recent work centers on education, I am broadly committed to human-centered and explainable AI, aiming for accurate, transparent models that support trust in sensitive applications.
I am also an assistant professor at the Asian Institute of Technology (AIT) in Thailand. Before joining AIT, I worked at AI Research Center, Université du Québec à Montréal, Montreal, Canada, and École Polytechnique, Institut Polytechnique de Paris, French National Centre for Scientific Research (CNRS) and French Institute for Research in Computer Science and Automation (Inria) in France.
I received a Ph.D. in Computer Engineering from Université de Montréal in Canada. I also spent time at several international institutions, including Singapore Management University in Singapore, National Institute of Informatics in Japan, and Huaqiao University in China.
News
- Jul 2026, I will give an invited speech at The 2026 Global Digital Economy Conference, Beijing.
- June 2026, I will serve as a Program Committee member for AAAI 2027, one of the premier conferences in artificial intelligence.
- June 2026, Congrats, Samuel! "Counterfactual Learning of New Adaptive Instructional Policies using Logged Data" has been accepted at ECML PKDD 2026 (Machine Learning and Principles and Practice of Knowledge Discovery), one of the top conferences in the field of Machine Learning.
- Apr 2026, I will serve as a Program Committee member for ICDM 2026, a leading conference in Data Mining.
- Apr 2026, I will serve as a Program Committee member for EDM 2026, poster session, a leading conference in the field of AI in education.
- Feb 2026, I will serve as a Program Committee member for AIED 2026, a leading conference in the field of AI in education.
- Jul 2025, I will serve as a Program Committee member for AAAI 2026, one of the premier conferences in artificial intelligence.
- Jul 2025, I will be joining the Asian Institute of Technology, Thailand as an Assistant Professor.
- June 2025, I will serve as a Program Committee member for ICDM 2025, a leading conference in Data Mining.
- May 2025, "Enhanced Interpretable Knowledge Tracing for Students’ Performance Prediction with Human-understandable Feature Space" has been accepted at AIED 2025 (Artificial Intelligence in Education), one of the top conferences in the field of AI in education.
- May 2025, I will serve as a Program Committee member for ICCE 2025 and ICCE Sub-Conference on Artificial Intelligence in Education / Intelligent Tutoring System (AIED/ITS) and Adaptive Learning.
- Feb 2025, I will serve as a Program Committee member for BigData 2025, one of the top conferences in Big Data and Data Mining..
- Feb 2025, I will serve as a Program Committee member for AIED 2025 and EDM 2025, leading conferences in the field of AI in education.
Master/Ph.D. opportunities
I am looking for students with a strong background in computer science, machine learning, or related fields, and a passion for research to join MINN HAI Lab at the Asian Institute of Technology in Thailand, an English-speaking, research-focused postgraduate institute located just 40 km from Bangkok. AIT offers a peaceful, multicultural environment, low living costs, and a variety of scholarship opportunities to help you focus on your research and enjoy a balanced life.
Scholarships for Master's and Ph.D. programs are available through several competitive programs, each with its own application deadline. To be considered for all types of scholarship opportunities, prospective students are strongly encouraged to submit their applications as early as possible (see our application deadlines).
The Human-Centred AI Lab welcomes anyone interested in research in artificial intelligence and related areas, including such as Knowledge Tracing, Computer Vision, NLP, etc.
This is our application form https://forms.gle/UQpNsfC2UsKvSPwh6. Please fill in the required information, along with -
- your updated CV
- the research direction you'd like to pursue
- why you want to join HAI Lab
The faculty will review applications on a rolling basis, and we'll be in touch within two weeks. If you have questions before applying, email us at minnlabth@gmail.com.