Borzou Rostami, PhD

Area of Study / Keywords

Large-scale Optimization Data-driven Decision Making Machine Learning Applied to Real-time Decision Making Integration of Machine Learning and Optimization Supply Chain and Retails Analytics Transportation and Logistics Healthcare

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About

Borzou Rostami is an Associate Professor and the CPA Chair in Business Analytics at the Alberta School of Business, University of Alberta. He also serves as the Director of the AI Centre for Decision Analytics (AI4DA) and the Academic Director of the Master of Management Analytics (MMA) program. He holds a PhD in Information Technology/Operations Research from the Polytechnic University of Milan, Italy. Prior to joining the University of Alberta, he was an Assistant Professor at Wilfrid Laurier University and a Postdoctoral Researcher at Polytechnique Montréal and TU Dortmund in Germany. He currently serves as an Associate Editor for INFOR (Information Systems and Operational Research). His research focuses on modeling and solving large-scale decision-making problems under uncertainty by integrating optimization techniques with advanced machine learning and artificial intelligence methods. His work is driven by real-world applications in supply chain management, retail, healthcare, and transportation and logistics.

BUAN 423 - Prescriptive Analytics

Prescriptive analytics involves the use of data, mathematical models, and algorithms to identify optimal solutions for achieving organizational goals. This process builds on descriptive and predictive analytics, going beyond the interpretation of past events and the forecasting of future scenarios to also provide advice on the most effective actions to meet business objectives. Students acquire the skills to convert complex business problems into mathematical models, and employ Python programming and commercial solvers to derive optimal decisions. Evaluation components will consist of assignments, case studies, group projects, and two midterm exams. Prerequisite: OM 252. Not open to students with previous credit in OM 423.

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MMA 610A - Analytics Capstone Project

This course represents the apex of the MMA program, extending over two semesters, and offers students an immersive, real-world experience in analytics. The Analytics Capstone Project serves as a significant demonstration of the students' analytical skills and their capacity to make data-informed decisions in intricate business environments. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

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MMA 610B - Analytics Capstone Project

This course represents the apex of the MMA program, extending over two semesters, and offers students an immersive, real-world experience in analytics. The Analytics Capstone Project serves as a significant demonstration of the students' analytical skills and their capacity to make data-informed decisions in intricate business environments. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

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OM 623 - Prescriptive Analytics

Prescriptive analytics involves the use of data, mathematical models, and algorithms to identify optimal solutions for achieving organizational goals. This process builds on descriptive and predictive analytics, going beyond the interpretation of past events and the forecasting of future scenarios to also provide advice on the most effective actions to meet business objectives. Students acquire the skills to convert complex business problems into mathematical models, and employ Python programming and commercial solvers to derive optimal decisions. Evaluation components will consist of assignments, case studies, group projects, and two midterm exams. Prerequisites: OM 502.

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Browse more courses taught by Borzou Rostami

Bayani M., Rostami B., Yossiri A., Rousseau L.M.

Informs Journal on Computing. 2024 March; 10.1287/ijoc.2021.0186

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Babaee S., Araghi M., Rostami B.

Transportation Research Part B: Methodological. 2022 October; 164 10.1016/j.trb.2022.08.005

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Babaee S., Araghi M., Castillo I., Rostami B.

International Journal of Production Research. 2022 August; 10.1080/00207543.2022.2104179

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Rostami, B., Errico, F. and Lodi, A

Operations Research. 2022 February; 71 (2):471-486 10.1287/opre.2021.2241

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Haughton, M., Rostami, B. and Espahbod, S.

EURO Journal on Transportation and Logistics. 2022 January; 10.1016/j.ejtl.2022.100071

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Rostami, B., Chitsaz, M., Arslan, O., Laporte, G. and Lodi, A.

Operations Research. 2021 December; 10.1287/opre.2021.2185

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Rostami, B., Desaulniers, G., Errico, F. and Lodi, A.

Operations Research. 2021 February; 10.1287/opre.2020.2037

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Rostami, B., Kämmerling, N., Naoum-Sawaya, J., Buchheim, C. and Clausen, U.

European Journal of Operational Research. 2020 August; 10.1016/j.ejor.2020.07.051

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Rostami, B., Kämmerling, N., Buchheim, C. and Clausen, U.

Computers & Operations Research. 2018 April; 10.1016/j.cor.2018.04.002

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Rostami, B., Chassein, A., Hopf, M., Frey, D., Buchheim, C., Malucelli, F. and Goerigk, M.

European Journal of Operational Research. 2018 February; 10.1016/j.ejor.2018.01.054

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Rostami, B. and Malucelli, F.

Electronic Notes in Discrete Mathematics. 2016 November; 10.1016/j.endm.2016.10.020

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Rostami, B., Strothmann, C. and Buchheim, C.

Lecture Notes in Computer Science. 2016 September; 10.1007/978-3-319-45587-7_21

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Rostami, B., Buchheim, C., Meier, J.F. and Clausen, U.

Electronic Notes in Discrete Mathematics. 2016 May; 10.1016/j.endm.2016.03.010

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Meier, J.F., Clausen, U., Rostami, B. and Buchheim, C.

Electronic Notes in Discrete Mathematics. 2016 May; 10.1016/j.endm.2016.03.006

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Rostami, B., Malucelli, F., Belotti, P. and Gualandi, S.

European Journal of Operational Research. 2016 March; 10.1016/j.ejor.2016.03.031

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Rostami, B., Malucelli, F., Frey, D. and Buchheim, C.

Lecture Notes in Computer Science. 2015 June; 10.1007/978-3-319-20086-6_29

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Rostami, B. and Malucelli, F.

Computers & Operations Research. 2015 June; 10.1016/j.cor.2015.06.005

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Rostami, B. and Malucelli, F.

Discrete Optimization. 2014 September; 10.1016/j.disopt.2014.08.003

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Rostami, B., Cremonesi, P. and Malucelli, F.

Studies in Computational Intelligence. 2013 December; 10.1007/978-3-319-00410-5_2

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