معرفی
Min Xian is an Associate Professor in the Department of Computer Science at the University of Idaho's College of Engineering. Their research focuses on Trustworthy Artificial Intelligence, Machine Learning, Deep Learning, and Adversarial Learning, with applications in Biomedical Image Analysis and AI-Aided Materials Characterization. They actively contribute to nuclear safety research through AI applications in nuclear fuel analysis and power plant risk assessment.
- Ph.D. in Computer Science (2017), Utah State University
- M.S. in Computer Science (2011), Harbin Institute of Technology
- B.S. in Information Security (2008), Harbin Institute of Technology (Weihai)
Their research integrates AI into critical domains like medical imaging (skin cancer diagnosis, breast ultrasound analysis) and nuclear materials characterization (fission gas bubble segmentation in metallic fuels). They also explore uncertainty quantification, adversarial defense mechanisms, and knowledge-informed AI for nuclear safety.
Recent publications demonstrate expertise in vision-language models, sharpness-aware optimization, and multi-task learning for biomedical and nuclear applications. Their work balances algorithm development (e.g., Bend-Net, GCSAM) with domain-specific applications.
- Dean's Distinguished Faculty Fellow, University of Idaho (2024)
Min Xian leads the MIDA Lab (Machine Intelligence and Data Analytics), developing AI solutions for nuclear material analysis and medical imaging. Their collaborations span biomedical engineering, materials science, and nuclear safety domains.
