DeGroote School of Business

Zeinab Vosooghi

PhD Student (She/Her)

ACADEMIC AREA
Management Science

AREAS OF EXPERTISE
Operations Research, Optimization, Transportation, Logistics, Risk Management, Data Analytics

SUPERVISOR(S)
Prof. Manish Verma

EMAIL
vosooghz@mcmaster.ca


Biography

Zeinab is a fourth-year Ph.D. candidate in Management Science at the DeGroote School of Business, McMaster University, she is also part of DeGroote sessional faculty teaching various courses. Her research focuses on the application of optimization and machine learning techniques in the field of transportation risk management, with an emphasis on improving human safety.

Zeinab has published papers in peer-reviewed journals and conferences including “Socio-Economic Planning Sciences”. She also contributed to a book chapter that was published by CRC Press (Link to her Google Scholar). Her research findings have also been presented in such academic conferences as “Informs Annual Meeting, 2021″ and ” World Conference on Transport Research, 2023″.

 

Presentations:

Zeinab Vosooghi, Manish Verma “A novel strategy to managing hazmat risk for rail shipments”, 16th World Conference on Transport Research, 2023.

Zeinab Vosooghi, “A novel method in assigning New York City taxicabs using machine learning and optimization algorithms”, Informs Annual Meeting, 2021.

Zeinab Vosooghi, “An overview of research on resilient revenue management”, Amirkabir University of Technology, 2018.

Zeinab Vosooghi, “An overview of OR Models in disaster operations management”, Amirkabir University of Technology, 2017.

 

Education:

Ph.D. student in Management Science, DeGroote School of Business | 2020-present

  • First Research Piece: risk management in rail hazmat transportation
  • Second Research Piece: Machine Learning Applications in Incident Prevention of Rail Hazmat Transportation

M.Sc. in Industrial Engineering (Systems Optimization), Amirkabir University of Technology, Tehran, Iran | 2017-2020

  • Thesis: redesigning of a relief supply chain network under humanitarian constraints.

B.Sc. in Industrial Engineering, Amirkabir University of Technology | 2013-2017.

  • Thesis: optimizing a shelf space allocation problem.

 

Awards & Achievements:

Faculty of Business Distinguished Ph.D. Student Scholarship” | McMaster University | September 2023.

“DeGroote International Graduate PhD Student Scholarship” | McMaster University | September 2023.

“Ontario Graduate Scholarship”, McMaster University | September 2022.

Iranian Student Memorial Scholarship Fund” | McMaster University | December 2022.

Faculty of Business Distinguished Ph.D. Student Scholarship” | McMaster University | September 2022.

Norm Archer Endowed Award” (awarded to a student who has demonstrated the highest degree of commitment, excellence, and integrity in both courses taken and in research) | McMaster University | September 2022.

Faculty of Business Distinguished Ph.D. Student Scholarship” | McMaster University | September 2021.

Top Master Student Award” | Amirkabir University of Technology | September 2017 – September 2019.

“Straight admission without examination” to the master’s program | Amirkabir University of Technology | September 2017.

“Top Bachelor Student Award” | Amirkabir University of Technology | September 2017.

Publications

Zeinab Vosooghi, Mirzapour Al-e-hashem, S. M. J., & Lahijanian, B, “Scenario-based redesigning of a relief supply-chain network by considering humanitarian constraints, triage, and volunteers’ help”, Socio-Economic Planning Sciences, 2022.

Zeinab Vosooghi, Mahya Hemmati, “Pricing Policies; Influencing Customer Demand: An Operations Management Approach”, CRC Press, 2021.

Zeinab Vosooghi, Manish Verma, “A novel strategy to managing hazmat risk for rail shipments”, World Conference on Transport Research proceedings, 2023, under review.

Zeinab Vosooghi, Manish Verma, “Risk Management of rail hazmat shipment, a safety-oriented approach”, soon to be submitted to European Journal of Operational Research.

Zeinab Vosooghi, Manish Verma, “Machine learning applications in incident prevention of railroad transportation”, Work-in-Progress