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Faculty Profile

LEE, Min's photo

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

 
 
Highlights
16
Publications
13
H-Index (All Time)
985
Citations (All Time)
Min 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.
Human-centered artificial intelligence (AI)explainability and fairness in AIhuman-AI/robot collaborationhealthcare AIassistive technologiesinteractive and personalized AI systems.
This highlights are AI-generated content using the faculty's CV.

Qualification

  • PhD, Carnegie Mellon University, 2021

Teaching Topics

  • Introduction to Artificial Intelligence

Research Advisor/Co-Research Advisor to