LEE, Min
Full-time Faculty
Assistant Professor of Computer Science
School of Computing and Information Systems
SCIS
Qualification
- PhD, Carnegie Mellon University, 2021
Teaching Topics
- Introduction to Artificial Intelligence
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsMin Lee is an Assistant Professor specializing in human-centered artificial intelligence, with a focus on explainability, fairness, and collaborative AI systems for healthcare and assistive technologies.
Bridges methodological advances in explainable and fair AI with impactful applications in healthcare and rehabilitation; emphasizes user-centered design, trust, and transparency in AI systems; recognized for collaborative research and deployment of AI solutions in real-world, low-resource, and clinical settings.
Focused research areas include Development of explainable and fair AI systems for human-AI collaboration, particularly in clinical decision support, rehabilitation, and healthcare screening; design and evaluation of assistive robotics and AI-driven decision-making tools; uncertainty-aware task delegation; multimodal AI for medical diagnostics.
Bridges methodological advances in explainable and fair AI with impactful applications in healthcare and rehabilitation; emphasizes user-centered design, trust, and transparency in AI systems; recognized for collaborative research and deployment of AI solutions in real-world, low-resource, and clinical settings.
Focused research areas include Development of explainable and fair AI systems for human-AI collaboration, particularly in clinical decision support, rehabilitation, and healthcare screening; design and evaluation of assistive robotics and AI-driven decision-making tools; uncertainty-aware task delegation; multimodal AI for medical diagnostics.
Areas of Expertise
Human-centered artificial intelligence (AI)explainability and fairness in AIhuman-AI/robot collaborationhealthcare AIassistive technologiesinteractive and personalized AI systems.
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- SWS Lam, MH Lee, M Dorosan, S Altonji, HK Tan, WT LeeJMIR Formative Research 9 (1), e66110, 2025
- AR Cóias, MH Lee, A Bernardino, A Smailagic, M Mateus, D Fernandes, ...IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025
- MH Lee, MZY TokProceedings of the 2025 ACM Conference on Fairness, Accountability, and …, 2025
- MH Lee, SSW Lam, SXH Liew, M Dorosan, N Graves, J Karlström, HK Tan, ...34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
- HYN Oo, MH Lee, JH LimPacific-Asia Conference on Knowledge Discovery and Data Mining, 197-208, 2025
- MH Lee, RBX Ng, SX Choo, S ThilarajaharXiv preprint arXiv:2409.15814, 2024
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Carnegie Mellon University, 2021
Teaching Topics
- Introduction to Artificial Intelligence