Baback Vaziri


Assistant Professor, Computer Information Systems and Business Analytics
Year Started at JMU: 2016
Contact Info

  • PhD, Industrial Engineering, Purdue University (2016)
  • BSE, Industrial and Operations Engineering, University of Michigan (2006)
Professional Interests
  • Decision sciences
  • Operations research
  • Business analytics
  • Business education
Courses Taught
  • COB 191 - Business Analytics I
    COB 291 - Business Analytics II
Key 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.

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