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Aysajan Eziz

Assistant Professor, Management Science

Aysajan Eziz

Contact Information


  • Optimization
  • Machine Learning
  • Public Blockchain Technology
  • Probability& Statistics
  • Data Analytics
  • Mathematical Modeling

Research Publications

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Aysajan Eziz (a.k.a. Aishajiang Aizezikali) is an Assistant Professor of Management Science at the Ivey Business School at Western University. He joined Ivey in 2018 from the Washington State University in US where he completed his Ph.D. in Operations & Management Science and M.S. in Statistics. Aysajan’s research focuses on a variety of interdisciplinary topics, including data-driven decision making in the context of pricing and revenue optimization, agricultural subsidy program analysis in developing countries, and public blockchain economic incentive mechanism analysis. Drawing on tools from optimization, machine learning, mathematical modeling, and statistics, his work aims to develop new analytical methods that have impact in both public and private sectors. Through his focus on mechanism analysis, Aysajan’s research addresses broader topics related to resource pricing, public policy evaluation, and public blockchain technology.


  • Decision Making with Analytics (HBA1)
  • Pricing and Revenue Analytics (MSc)
  • Financial Analytics (MSc)

Programs Taught

  • HBA
  • MSc


  • PhD, Operations & Management Science, Washington State University
  • MS, Statistics, Washington State University
  • BA, Business Administration, Zhejiang University

Recent Refereed Articles

  • Baker, T.; Aizezikali, A.; Harrington, R. J., 2020, "Hotel Revenue Management for the Transient Segment: Taxonomy-Based Research", International Journal of Contemporary Hospitality Management, January 32(1): 108 - 125.
  • Pimental, V.; Aizezikali, A.; Baker, T., 2019, "Hotel revenue management: Benefits of simultaneous overbooking and allocation problem formulation in price optimization", Computers and Industrial Engineering, November 137(106073)
  • Pimentel, V.; Aizezikali, A.; Baker, T., 2018, "An evaluation of the bid price and nested network revenue management allocation methods", Computers and Industrial Engineering, January 115: 100 - 108.

For more publications please see our Research Database

Honours & Awards

  • CISER Alumni Award for Best MS Statistics Project, Department of Mathematics and Statistics, Washington State University, 2017
  • Outstanding Graduate Student Research Award, Carson College of Business, Washington State University, 2018


  • Instructor, Washington State University, 2015-2018

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