Main Content

Vahid Roshanaei

Home > Meet our Faculty > Faculty bios > Vahid Roshanaei

Vahid Roshanaei

Assistant Professor, Teaching Stream, Operations Management & Statistics Area

Degrees:

Ph.D., Operations Research, University of Toronto, 2017

Email:

Send an email to Vahid Roshanaei

Bio

Vahid Roshanaei teaches Operations Management and Supply Chain Management to Commerce and Full-Time and Part-Time MBA students, and Supply Chain Analytics to MMA students. His new research includes the development of interactive spreadsheet models to facilitate the teaching of Statistical/Machine Learning Techniques to Commerce/MBA students. Vahid also develops optimization models and methods that incorporate risks (uncertainty) into the decision-making of large-scale operational problems. In particular, he designs exact decomposition techniques for large-scale stochastic and robust location-allocation problems in supply chains, scheduling problems in various manufacturing settings, and planning and scheduling of healthcare operations (e.g., operating rooms and home care). Vahid has published his papers in journals listed under FT Top 50 and UTD-24.

Academic Positions

  • 2020

    Assistant Professor, Teaching Stream, Rotman School of Management, University of Toronto

  • 2017-2020

    Post-Doctoral Fellow & Instructor, University of Toronto, Rotman School of Management

Non-Academic Positions

  • 2013-2017

    Researcher, Toronto General Hospital Research Institute

  • 2010-2012

    Researcher, Intelligent Manufacturing Systems Centre (IMSC)

Selected Publications - Papers

Selected Publications - Case

  • Buffer or Suffer: Optimal Ventilator Stockpile Level for Next Flu-Related Pandemic—Lessons Learned From COVID-19 Pandemic

    Sajjad Najafi, Vahid Roshanaei

    Work-in-progress

  • Managing Increased Demand for ICU Beds During the COVID-19 Pandemic for the City of Toronto

    Vahid Roshanaei, Opher Baron

    Work-in-progress

Research and Teaching Interests

I conduct research in large-scale combinatorial optimization, decision-making under uncertainty, and operations analytics. I have a genuine interest in teaching operations management, supply chain management, management science, and analytics to both Commerce and MBA students.

Honors and Awards

  • 2017

    $45,000, Two years, NSERC Post-Doctoral Fellowship, University of Toronto, Rotman School of Management

  • 2017

    Finalist, Canadian Operational Research Society (CORS) 2017 Student Best Presentation Competition, HCOR-SIG, University of Toronto

  • 2016

    Honourable Mention, CORS Health Care Operational Research SIG 2016 Student Best Presentation Competition, HCOR-SIG, University of Toronto

  • 2015

    Honourable Mention, CORS 2015 Student Best Paper Competition, Open Category, University of Toronto

  • 2015

    $35,000, Two years, NSERC Alexander Graham Bell Canada Doctoral Scholarship, University of Toronto, Department of Mechanical and Industrial Engineering

  • 2014

    $15,000, Ontario Graduate Scholarship, University of Toronto

  • 2007

    Exceptional Talent Award Granted by Iran's Ministry of Science and Technology, Amirkabir University of Technology (Tehran Polytechnic)

  • 2006

    Ranked 10 among 6,000 participants in national graduate matriculation exam for Industrial Engineering major, Iran, Amirkabir University of Technology (Tehran Polytechnic)

Professional Affiliations/Memberships

  • Canadian Operational Research Society (CORS)

  • Institute for Operations Research and Management Science (INFORMS)

Academic / Professional Service

  • 2015 and 2016

    Session Organizer for Optimization Methods in Healthcare Operations, Canadian Operational Research Society (CORS) conference

  • 2014

    Organizer of 5th MIE Graduate Research Symposium, University of Toronto

  • 2013-2014

    President-elect of The Association of Mechanical and Industrial Engineering Graduate Students, University of Toronto

  • 2010-

    Journal reviewer for European Journal of Operational Research, OMEGA, Computers & Operations Research, Mathematical Methods in Operations Research, Socio-Economic Planning Sciences, among other journal outlets, University of Toronto