Bin Zhang

Assistant Professor
Department of Information & Operations Management

Biography

Bin Zhang is an Assistant Professor of Information & Operations Management at Mays Business School, Texas A&M University. He has joined the Department since July 2021.

Dr. Zhang’s primary research interests are social media analytics and machine learning. He is specifically interested in designing algorithms to analyze large social network and developing deep learning methods to investigate social media content such as text, image and video. His work has been published in premier IS journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, etc. His projects have been funded by federal agencies such as NSF and NIH. Dr. Zhang has extensive teaching experience in Database, Data Mining, Data Analytics, and Programming Languages. All of these courses receive very high evaluation from the students.

Dr. Zhang has served on multiple review panels for NSF, and is the current Vice Chair of INFORMS College of AI. He is also a Visiting Research Fellow affiliated with iLab at Carnegie Mellon University.

Research Interests

Very large social network analysis, statistical modeling for social network problems, social media, technology diffusion and business analytics

Research

Title	Year	Type
Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach ACM Transactions on Management Information Systems	2021	Article
Write Like a Pro or an Amateur? Effect of Medical Language Formality ACM Transactions on Management Information Systems	2021	Article
Go to YouTube and See Me Tomorrow: Social Media and Self-Care of Chronic Conditions MIS Quarterly	2020	Article
Estimating Contextual Motivating Factors in Virtual Inter-organizational Communities of Practice: Peer effects and Organizational Influences Information Systems Research	2018	Article
On Direct vs. Indirect Peer Influences in Large Social Networks Information Systems Research	2018	Article
Examining Hacker Participation Length within Cybercriminal IRC Communities Journal of Management Information Systems	2016	Article
Contrasting Multiple Social Network Autocorrelations for Binary Outcomes, with Applications to Technology Adoption ACM Transactions on Management Information Systems	2013	Article
The structure and dynamics of generative innovations: An organizational genetics approach National Science Foundation	2013	Article