Mohammad Rahman, Ph.D.
Assistant Professor, School of Construction
My research follows two directions: (i) supply chain modeling and (ii) freight, logistics and transportation modeling. My research in supply chain modeling includes dynamic forecasting, analysis of trade trend and economic growth, production and supplier systems, global supply chain, humanitarian supply chain and decision-making models under uncertainty. My research in freight, logistics and transportation modeling includes routing of hazardous material, safety and sustainability of transportation model, green transportation and intermodal freight transportation. In supply chain uncertainty problems I used various stochastic models and Bayesian techniques to find the optimum solutions. I plan to continue working on stochastic process models, and merge into large-scale combinatorial optimization problems.