Nasser Barjesteh

Assistant Professor of Operations Management and Statistics at University of Toronto

Schools

  • University of Toronto

Links

Biography

University of Toronto

Nasser Barjesteh is an Assistant Professor in the Operations Management and Statistics Area at the Rotman School of Management, University of Toronto. Nasser's research focuses on the control of complex stochastic systems with applications in ride-hailing, manufacturing, and healthcare. He studies these systems from both the analytical and empirical perspectives. From a methodological perspective, he is interested in structural estimation, stochastic control, and stochastic modeling.

TEACHING

University of Toronto, Rotman School of Management
Instructor
Undergraduate, Operations Management, 2020 - Present, Evaluations: 4.4 (out of 5)

The University of Chicago, Booth School of Business
Teaching Assistant
Executive M.B.A., Managerial Decision Modeling, 2017 - 2018, Evaluations: 4.9 and 5.0 (out of 5)
M.B.A., Managerial Decision Modeling, 2016 - 2019
M.B.A., Operations Management: Business Process Fundamentals, 2016 - 2019
M.B.A., Project Management, 2019
Ph.D., Stochastic Processes, 2017 - 2018

University of Toronto, Department of Statistics
Teaching Assistant
Undergraduate, Statistical Theory, 2013 - 2014
Undergraduate, The Practice of Statistics, 2014
Undergraduate, Probability with Computer Applications, 2014

University of Waterloo, Department of Electrical and Computer
Teaching Assistant
Undergraduate, Computer Networks, 2012 - 2013

EDUCATION

The University of Chicago, Chicago, IL
Booth School of Business
Ph.D. in Management Science/Operations Management and MBA
Dissertation: Pricing and Matching in Service and Manufacturing Systems

University of Toronto, Toronto, Canada
M.Sc. in Statistics

University of Waterloo, Waterloo, Canada
M.Sc. in Electrical and Computer Engineering

Amirkabir University of Technology, Tehran, Iran
B.Sc. (Honors) in Electrical Engineering

RESEARCH

  • Spatial pricing: An empirical analysis of taxi rides in New York City
    With Baris Ata and Sunil Kumar

  • Dynamic dispatch and centralized relocation of cars in ride-hailing platforms
    With Baris Ata and Sunil Kumar, Major Revision at Operations Research.

  • Dynamic pricing of a multiclass make-to-stock queue
    With Baris Ata, Major Revision at Operations Research.

  • Multiclass state-dependent service systems with returns
    With Hossein Abouee-Mehrizi, Forthcoming at Naval Research Logistics.
    Service Science Section’s Best Student Paper Award Finalist, 2016.

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