Dr. Berk Gorgulu
Assistant Professor
Assistant Professor
Faculty, Operations Management
Dr. Gorgulu's research focuses on data-driven optimization with applications to healthcare and public operations. His research focuses on constructing data-driven, realistic models and developing predictive and prescriptive analytics to support decision-making under uncertainty. His research methodologies include stochastic modeling and optimization, queueing theory, interpretable machine learning, and Markov decision processes. From a practical point of view, he has been collaborating with practitioners from different healthcare organizations to identify problems with real-world impact and develop implementable solutions. His research has been funded by several funding agencies including NSERC and SSHRC. He teaches statistics, predictive analytics and optimization.
Jacky Chan Berk Gorgulu Vahid Sarhangian
Manufacturing & Service Operations Management
Erhan c Ozcan Berk Gorgulu Mustafa g Baydogan
European Journal Of Operational Research
Jing Dong Berk Gorgulu Vahid Sarhangian
Manufacturing & Service Operations Management
Berk Gorgulu Jing Dong Karen Hunter Krista m Bettio Betty Vukusic Jonathan Ranisau Gary Spencer Terence Tang Vahid Sarhangian
Archives Of Physical Medicine And Rehabilitation
Igor Ilic Berk Gorgulu Mucahit Cevik