Baback Vaziri, Ph.D image

 

Associate Professor, Computer Information Systems and Business Analytics; MBA Program
vaziribx@jmu.edu
Contact Info

Professional Webpage
Teaching and Research Interests
  • Decision sciences
  • Operations research
  • Business analytics
  • Business education
Education
  • Ph.D, Industrial Engineering, Purdue University (2016)
  • 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.

Awards and Recognitions
  • College of Business Distinguished Teacher Award - 2024
  • Kenneth R. Bartee Award for Teaching Innovation - 2023
  • College of Business Teaching and Learning Publication Award (3rd place) - 2023

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