Directory at CAVS
Biography
Mohammad Marufuzzaman received his Ph.D. in Industrial & Systems Engineering from Mississippi State University in 2014. He received his MASc degree in Industrial Systems Engineering from University of Regina, Canada in 2010 and B.Sc degree in Industrial & Production Engineering from Shah Jalal University of Science & Technology, Bangladesh in 2006. He joined Industrial & Systems Engineering department as a Visiting Assistant Professor in August 2014.
His main areas of interest are in supply chain optimization with applications in renewable energy, stochastic programming, decomposition methods, solving large scale supply chain network problems and supply chain risk management.
Dr. Maruf’s publications have appeared in journals such as Transportation Science, Computers & Operations Research, Transportation Research Part E, International Journal of Production Economics, Canadian Journal of Chemical Engineering and several conference proceedings. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE).
His main areas of interest are in supply chain optimization with applications in renewable energy, stochastic programming, decomposition methods, solving large scale supply chain network problems and supply chain risk management.
Dr. Maruf’s publications have appeared in journals such as Transportation Science, Computers & Operations Research, Transportation Research Part E, International Journal of Production Economics, Canadian Journal of Chemical Engineering and several conference proceedings. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE).
Selected PublicationsTotal Publications: 47
Khanzadeh, M. K., Chowdhury, S., Tschopp, M. A., Doude, H., Marufuzzaman, M., & Bian, L. (2017). In-Situ Monitoring of Melt Pool Images for Porosity Prediction in Directed Energy Deposition Processes. IISE Transactions. Online. [Document Site]
Emelogu, A. A., Chowdhury, S., Marufuzzaman, M., Bian, L., & Eksioglu, B. (2016). An Enhanced Sample Average Approximation Method for Stochastic Optimization. International Journal of Production Economics. Elsevier. 182, 230-252. DOI:10.1016/j.ijpe.2016.08.032.
Chowdhury, S., Emelogu, A. A., Marufuzzaman, M., & Bian, L. (2016). A Continuum-approximation Approach to Optimize Routing Decisions for Drones under Extreme Events. INFORMS Annual Meeting. Nashville, TN.
Chowdhury, S., Kabli, M., Quddus, M. A., & Marufuzzaman, M. (2016). Chance-constrained Stochastic Programming Model for Locating Charging Stations under Uncertainty in Green Power Availability. INFORMS Annual Meeting. Nashville, TN.
Quddus, M. A., Chowdhury, S., & Marufuzzaman, M. (2016). A Two-Stage Chance-constrained Stochastic Programming Model for a Bio-fuel Supply Chain Network with Uncertain Biomass Supply. INFORMS Annual Meeting. Nashville, TN.
Emelogu, A. A., Chowdhury, S., Marufuzzaman, M., Bian, L., & Eksioglu, B. (2016). An Enhanced Sample Average Approximation Method for Stochastic Optimization. International Journal of Production Economics. Elsevier. 182, 230-252. DOI:10.1016/j.ijpe.2016.08.032.
Chowdhury, S., Emelogu, A. A., Marufuzzaman, M., & Bian, L. (2016). A Continuum-approximation Approach to Optimize Routing Decisions for Drones under Extreme Events. INFORMS Annual Meeting. Nashville, TN.
Chowdhury, S., Kabli, M., Quddus, M. A., & Marufuzzaman, M. (2016). Chance-constrained Stochastic Programming Model for Locating Charging Stations under Uncertainty in Green Power Availability. INFORMS Annual Meeting. Nashville, TN.
Quddus, M. A., Chowdhury, S., & Marufuzzaman, M. (2016). A Two-Stage Chance-constrained Stochastic Programming Model for a Bio-fuel Supply Chain Network with Uncertain Biomass Supply. INFORMS Annual Meeting. Nashville, TN.