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