Positions

Research Areas research areas

Overview

  • 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.
  • Publications

    Academic Article

    Year Title
    2017 A Unified Framework for the Scheduling of Guaranteed Targeted Display Advertising Under Reach and Frequency RequirementsOperations Research.  65:289-313. 2017

    Conference Proceeding

    Year Title
    2014 Delivering Guaranteed Display Ads under Reach and Frequency RequirementsProceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI). 2014

    Teaching Activities

  • Bus Analytic SS Modeling Taught course 2019
  • Bus Analytic SS Modeling Taught course 2018
  • Bus Analytic SS Modeling Taught course 2018
  • Bus Analytic SS Modeling Taught course 2018
  • Bus Analytic SS Modeling Taught course 2018
  • Quantitative Decision Making Taught course 2018
  • Quantitative Decision Making Taught course 2018
  • Quantitative Decision Making Taught course 2017
  • Quantitative Decision Making Taught course 2017
  • Quantitative Decision Making Taught course 2017
  • Quantitative Decision Making Taught course 2017
  • Education And Training

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

  • Seyed Ali Hojjat