Majid joined the PhD program at DeGroote in September 2010. His primary research interest is in logistics/transportation networks, with a particular focus on capacity expansion problems with interactions among permanent, spot market and contract capacities.
His current research projects include: Railway network capacity expansion under uncertainty, and optimal location and capacity expansion of emergency response equipment for oil-spill.
Supervisor: Kai Huang
Taghavi, M., Huang, K. (2014). Stochastic Capacity Expansion with Multiple Sources of Capacity. Operations Research Letters. 42 (4), 263-267.
Taghavi, M., Shavandi, H. (2011). The P-Center Problem under Uncertainty. Journal of Industrial and Systems Engineering, 6 (1), 48-57.
Majid Taghavi, Kai Huang (June 2014), Stochastic Capacity Expansion with Multiple Sources of Capacity for Transportation Networks , 3rd INFORMS Transportation Science and Logistic Society Workshop (TSLWS 2014), Chicago, IL, USA.
Majid Taghavi, Kai Huang (Oct. 2013), Multi-stage Stochastic Programming Approach for Network Capacity Expansion: Models and Algorithms, AIM Seminars at Department of Mathematics and Statistics, York University.
Majid Taghavi, Kai Huang (May 2013), Lagrangian Relaxation for Stochastic Network Capacity Expansion Problem with Budget Constraint, CORS annual meeting, Vancouver, BC, Canada.