Bin Liu

Bin Liu is an Associate Professor in the Department of Management Information Systems at John Chambers College of Business and Economics, West Virginia University. He also holds an adjunct appointment with the Lane Department of Computer Science and Electrical Engineering. His research focuses on data mining, machine learning, and their intersections with healthcare analytics, recommender systems, and privacy/security.

• PhD in Management (Information Technology Track) from Rutgers Business School, Rutgers University

His recent work emphasizes AI+X applications in health, sciences, and social good, with publications spanning machine learning, data mining, and privacy/security. This includes targeted areas like Trustworthy AI, drug trafficking detection on social media, and survival analysis in electronic health records.

In professional service, Dr. Liu has served on program committees for major conferences like KDD (2018-2025), AAAI (2019-2022), and RecSys (2017-2025), and as an associate editor for International Conference on Information Systems (ICIS). Notably, his team received the Best Applied Paper Award Runner Up (CIKM 2021) for illicit drug trafficking detection research.

• Teaching: Courses include Business Data Mining (2022-2025), Advanced Business Data Mining (2023-2025), and Big Data Technologies for Business (2024)
• Service: Journal editorial roles for IEEE TCSS, ACM TIST, and Journal of Business Analytics (2018-present)