Min Xian

Min Xian (Member, IEEE) received the M.S. degree in pattern recognition and intelligence system from the Harbin Institute of Technology, Harbin, China, in 2011, and the Ph.D. degree in computer science from Utah State University, Logan, Utah, in 2017. He is an affiliate Professor and Doctorial Supervisor of the Bioinformatics and Computational Biology (BCB) program at the University of Idaho, an affiliate of the Center for Advanced Energy Studies (CAES), and a participating faculty of the Institute for Modeling Collaboration and Innovation (IMCI). He is leading projects on AI-enhanced cancer detection (NIH) and material characterization and development (DOE). He is an Associate Professor in the Department of Computer Science at the University of Idaho. He is currently the Director of the Machine Intelligence and Data Analytics (MIDA) laboratory, a research-oriented collaborative and synergistic core to impel interdisciplinary research. His research interests include artificial intelligence, machine learning, deep neural networks, adversarial learning, biomedical data analytics, material informatics, and digital image understanding. He is a guest editor at Healthcare and a session chair for the conference of the Association for the Advancement of Artificial Intelligence (AAAI).