Ali Hojjat

ASSISTANT PROFESSOR
Decision Sciences
Phone: (603) 862-5285
Office: Decision Sciences, Paul College Rm 255D, Durham, NH 03824

Ali Hojjat’s interest lies in the mathematical modeling and design of efficient algorithms for solving a broad range of large-scale optimization problems. Currently, his research focuses on several problems in scheduling digital advertising for online publishers. Throughout his Ph.D. studies, he collaborated with Yahoo Research on designing an algorithm for serving online ads under reach and frequency specifications, the result of which appeared in Operations Research journal.

Education

  • Ph.D., Operations and Decision Technologies, University of California - Irvine
  • M.B.A., Operations Management, UMass- Dartmouth
  • B.S., Industrial Engineering, Shariff University of Technology

Research Interests

  • Advertising
  • Operations Research
  • Optimization

Courses Taught

  • ADMN 580: Quantitative Decision Making
  • DS 766: Bus Analytic SS Modeling

Selected Publications

Hojjat, A., Turner, J., Cetintas, S., & Yang, J. (2017). A Unified Framework for the Scheduling of Guaranteed Targeted Display Advertising Under Reach and Frequency Requirements. Operations Research, 65(2), 289-313. doi:10.1287/opre.2016.1567

Hojjat, A., Turner, J., Cetintas, S., & Yang, J. (2014). Delivering Guaranteed Display Ads under Reach and Frequency Requirements. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI). Retrieved from https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8287