Rate My Professor Sanjay Bapna

Dr. Bapna's research focuses on information systems design and data-related issues including modeling and analytics, database design, data retrieval, information analysis, business intelligence, business processes with SAP, data mining, input-output modeling, computer security, cost-benefit analysis, and artificial intelligence for optimization. His key publications include "Predicting Patient Turnover: Lessons From Predicting Customer Churn Using Free-Form Call Center Notes" (2019, with G.W. Ramsey), "Providing an Accurate Performance Measure of the Economic Contribution of the Freight Industry: An Input-Output Analysis" (2019, with H.S. Shin, A. Farkas, and A. Nickkar), "Interventions Addressing Recruitment and Retention of Underrepresented Minority Groups in Undergraduate STEM Disciplines" (2019, with C.H. Darden et al.), "Industrial Cyber-Espionage" (2015, with J. Hua and Y. Chen), "Rethinking the Impact of Cyber Terrorism on Information Systems Security Investment" (2013, with J. Hua), "A Wavelet-Based Approach to Preserve Privacy for Classification Mining: Methodological Note" (2006, with A. Gangopadhyay), and "A web-based GIS for analyzing commercial motor vehicle crashes" (2005, with A. Gangopadhyay). He has received the 2011 Best Paper award, the 2009 Best Paper award from the National Decision Sciences Institute, and the 1994 Best Paper award from the International Association of Computer Information Systems. Dr. Bapna has secured several grants from the Department of Transportation.