Baback Vaziri, Ph.D
Associate Professor, Computer Information Systems and Business Analytics; Assistant Professor, MBA Program
vaziribx@jmu.edu
Contact Info
Professional Webpage
Teaching and Research Interests
- Decision sciences
- Operations research
- Business analytics
- Business education
Education
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Ph.D, Industrial Engineering, Purdue University (2016)
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BSE, Industrial and Operations Engineering, University of Michigan (2006)
Positions Held
- Associate Professor, James Madison University, 2022-present
- Assistant Professor, James Madison University, 2016-2022
Select Publications
Vaziri, B., Dabadghao, S., Yih, Y., Morin, T.L. (2018). Properties of sports ranking methods. Journal of the Operational Research Society, Vol. 69, Issue 5, pp. 776-787.
Vaziri, B., Yih, Y., Morin, T.L. (2018). A proposed voting scheme to reduce the sensitivity of the Markov method. International Journal of Operational Research, Vol. 32, Issue 1, pp. 24-40.
Vaziri, B., Dabadghao, S., Yih, Y., Morin, T.L., Lehto, M. (2020). Crowd-Ranking: a Markov-based method for ranking alternatives. Operational Research, Vol. 20, Issue 1, pp. 279-295.
Dabadghao, S., Vaziri, B., (2021). The predictive power of popular sports ranking methods in the NFL, NBA, and NHL. Operational Research (online), pp. 1-17.
Vaziri, S., Vaziri, B., Novoa, L.J., Torabi, E. (2021). Academic motivation in introductory business analytics courses: A Bayesian approach. INFORMS Transactions on Education (online), pp. 1-9.
Hours of operation:
Mon - Fri: 8 a.m. - 5 p.m.
