Dr. Yi Tan Assistant Professor, College of Business Contact 301 Sparkman DriveBusiness Administration BuildingRoom 363Huntsville, AL 35899 Campus Map 256.824.6671yi.tan@uah.edu Biography Curriculum Vitae Education Ph.D., in Analytics, Information, and Operations Management, University of Kansas M.S., in Business Analytics, University of Cincinnati B.S., in Statistics, Wuhan University Honors & Awards John O. Tollefson Best Paper Award University of Kansas, 2020 Expertise Machine/Statistical Learning Business Analytics Empirical Research in OM/Finance Interface Recent Publications Huang, W., Wang, Z., Bao, Y., Tan, Y., Yeung, A. C. (2026): Do More Services Lead to Better Buyer-supplier Relationships? The Unintended Consequence of Manufacturing Firms Providing Customer Solutions. Accept at Production and Operations Management. Pham, H., Arwade, G., Tan, Y., Bhatt, P., Pavlopoulos V. (2026): Instance Selection via Weighted Dimensional Reduction and Adaptive Stratified Clustering for Balanced and Imbalanced Data. Accept at Journal of Classification. Pham, H., Bhatt, P., Pavlopoulos, V., Tan, Y., & Patnayakuni, R. (2026). A Comparative Study of Convolutional Neural Networks and Vision Transformers for Agricultural Image Classification. Journal of Database Management, 36(1), 1-27. Tan, Y., Orman, W. H., Pavlopoulos, V., Pham, H., & Patnayakuni, R. (2026).Transforming Student Data Into Timely Interventions: A Dynamic Bayesian Network Decision Support System. International Journal of Knowledge Management, 22(1), 1-27. Tan, Y., Lu, Y., and Wang, L. (2025), Flight Delay Dynamics: Unraveling the Impact of Airport-Network-Spilled Propagation on Airline On-Time Performance. Decision Support Systems, 114494. Geng, H., Wang, J., Su, Z., Tan, Y., and Huang S. (2024): Analysts’ initial coverage and stock price. International Review of Financial Analysis, 103870. Pham, H., Tan, Y., Singh, T., Pavlopoulos V., and Patnayakuni, R. (2024): A multi-head attention-like feature selection approach for tabular data. Knowledge-Based Systems, 301, 112250. Tan, Y., Shenoy, P. P., and Sherwood, B. (2024): A naïve Bayes regularized logistic regression model for low-dimensional classification. International Journal of Approximate Reasoning, 109239. Tan, Y., Shenoy, P.P., Sherwood, B., Gaddy, M., Oehlert, M., and Shenoy, C. (2024): Bayesian network models for PTSD screening in veterans. INFORMS Journal on Computing, 36(2), 495-509. Tan, Y., and Shenoy, P.P.(2020): A bias-variance based heuristic for constructing a hybrid logistic regression-naive Bayes model for classification. International Journal of Approximate Reasoning, 117,15-28.