Assistant Professor, Technology and Operations Management
Room: WMC 4357
- MA.Sc., Ph.D Management Sciences, University of Waterloo
- B.Sc Accounting & Finance, Lahore University of Management Sciences
Gohram Baloch is an assistant professor in the Technology and Operations Management area at SFU Beedie School of Business. Prior to his current position, he was a Postdoctoral Research Fellow at MIT SLOAN School of Management working on a joint research project with Massachusetts General Hospital, Boston. His main research focuses on the integration of data-driven optimization approaches and machine learning with applications in healthcare operations, retail businesses, e-commerce, warehouse and transportation logistics. He has also worked on several analytics and optimization projects with industrial partners in Canada including Unilever, MedAvail Technologies Inc, Dematic, Uni-Select, Mister Transmission, and Shore Consulting.
Applications: Healthcare Analytics, Supply Chain Analytics, Warehouse & Transportation Logistics, AI & IoT-enabled Supply Chain, Infectious Disease Modelling
Methodology: Large-scale Discrete Optimization, Robust & Stochastic Optimization, Machine Learning, Branch and Price, Decomposition.
articles and reports
Baloch, G., Gzara, F., & Elhedhli, S. (2022). Covid-19 PPE distribution planning with demand priorities and supply uncertainties. Computers and Operations Research, 146. http://doi.org/10.1016/j.cor.2022.105913
Gzara, F., Elhedhli, S., Yildiz, U., & Baloch, G. (2020). Data-Driven Modeling and Optimization of the Order Consolidation Problem in E-Warehousing. INFORMS Journal on Optimization, 2(4), 229-346. http://doi.org/10.1287/ijoo.2019.0039
Baloch, G., & Gzara, F. (2020). Capacity and assortment planning under one-way supplier-driven substitution for pharmacy kiosks with low drug demand. European Journal of Operational Research, 282(1), 108-128. http://doi.org/10.1016/j.ejor.2019.09.007
Baloch, G., & Gzara, F. (2020). Strategic network design for parcel delivery with drones under competition. Transportation Science, 54(1), 204-228. http://doi.org/10.1287/trsc.2019.0928