Mahdi Shakeri

Mahdi Shakeri

MSc

Positions

PhD Candidate

Haskayne School of Business, Operations and Supply Chain Management [OSCM]

Sessional Instructor

Haskayne School of Business, Operations and Supply Chain Management [OSCM]

Contact information

Background

Educational Background

MSc. Industrial Engineering - Systems Optimization , Sharif University of Technology , 2019

BSc. Industrial Engineering , Sharif University of Technology, 2016

Biography

Mahdi has been pursuing his PhD in Operations and Supply Chain Management (OSCM) at the Haskayne School of Business since 2019. Prior to joining Haskayne, he earned both his master's and bachelor's degrees in Industrial Engineering from the Sharif University of Technology in Tehran, Iran. His research is centered on the integration of Operations Research and Machine Learning techniques across diverse domains such as healthcare systems and quantitative finance. Mahdi also served as the instructor for the Business Analytics course (MGST 391) during the Winter and Fall terms of 2022 at the Haskayne School of Business.

Research

Areas of Research

Methodologies: Optimization, Stochastic Modeling, Queueing Theory, Simulation, Machine Learning; Applications: Healthcare Management, Business Analytics, Quantitative Finance

Courses

Course number Course title Semester
MGST 391 Business Analytics Winter 2022
MGST 391 Business Analytics Fall 2022

Awards

  • Fin-ML NSERC-CREATE PhD Program Scholarship, Fin-ML. 2023
  • Robert A Willson Doctoral Management Scholarship, University of Calgary. 2022
  • Paramount Resources Ltd. Graduate Scholarship, University of Calgary. 2021

Publications

  • Guiding Physicians with Time-dependent Patient Selection Policies. Mahdi Shakeri, Marco Bijvank. Ready to be submitted to Operations Research. (2023)
  • A Partially Flexible Routing Strategy for Assigning Emergency Department Patients to Inpatient Wards. Mahdi Shakeri, Babak Haji, Leily Farrokhvar. Computers & Industrial Engineering. 176:108810. (2023)