Alireza Ghasemi

Education

• PhD (Industrial Engineering) -  École Polytechnique de Montréal
• MASc (Industrial Engineering) -  École Polytechnique de Montréal
• MSc (Industrial Engineering) - Sharif University of Technology
• BSc (Industrial Engineering) - Isfahan University Of Technology

Research Interests 

• Reliability, risk and maintenance optimization of assets under imperfect condition monitoring
• Prognostics, diagnostics
• Planning and scheduling optimization of the manufacturing and service industry
• Marine risk analysis and risk mitigation
• Data-mining and application in prognostics, diagnostics and maintenance optimization

Teaching Interests 

• Reliability and Maintenance
• Operation Research (deterministic and stochastic)
• Deterministic and Stochastic Dynamic programing
• Simulation (continuous and discrete time)
• Stochastic Processes

Accreditations and Affliliations 

• Engineers Nova-Scotia (P.Eng.)
• Institute of Industrial & Systems Engineers (IISE), Senior Member

Recent Journal Publications

1. Zhao, Qixuan; Ghasemi, Alireza; Saif, Ahmed; Bossard, Lila, Ambient Sensor-based Human Activity Recognition using Deep Learning Stacking Neural Networks and Generative Adversarial Networks, IEEE Sensors, (2025, under review)
2. Alireza Ghahtarani; Ahmed Saif; Alireza Ghasemi, “Distributionally Robust Asset Liability Management Problem”, European Journal of Operations Research (2025, under review)
3. Luana Almeida; Alireza Ghasemi; Floris Goerlandt, The Collaborative Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem for consideration, Annals of Operational Research (2024, under review)
4. Alireza Ghahtarani; Ahmed Saif; Alireza Ghasemi, Worst-Case Conditional Value at Risk for Asset Liability Management: A Novel Framework for General Loss Functions, European Journal of Operations Research, (May 2024)
5. Md Hasan Ali; Ahmed Saif; Alireza Ghasemi, Robust job shop scheduling with machine unavailability due to random breakdowns and condition-based maintenance, International Journal of Production Research (Dec 2023)
6. Emad Sadoon, Uday Venkatadri, Alireza Ghasemi, “A Framework for Logistics Management in the Clinical Trials Industry, An Extension of the State-of-the Art Using Contemporary Software Architectures and Tools”, Logistics 7(4):88, November 2023
7. Alireza Ghahtarani; Ahmed Saif ; Alireza Ghasemi; Erick Delage, A Double-oracle, Logic-based Benders decomposition approach to solve the K-adaptability problem, Computers & Operations Research, Volume 155, Issue 106243 (2023)
8. Luana Souza Almeida; Floris Goerlandt; Alireza Ghasemi, E-ARCP: An exact solution approach to the Collaborative Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem, SoftwareX (2023)
9. Costa Souza, R. L.; Ghasemi, Alireza ; Saif, Ahmed; Gharaei, Abolfazl, Robust job-shop scheduling under deterministic and stochastic unavailability constraints due to preventive and corrective maintenance, Computers & Industrial Engineering (2022)
10. Alireza Ghahtarani, Ahmed Saif, Alireza Ghasemi, (2022) “Robust portfolio selection problems: a comprehensive review”, February, Operational Research 22(4), 3203-3264

Recent Conference Presentations

1. Qixuan Zhao, Lila Bossard, Alireza Ghasemi and Ahmed Saif, “Deep Learning Neural Network and Generative Adversarial Networks for Human Activity Recognition Based on Ambient Sensors”, The 10th International Conference on Machine Learning, Optimization, and Data Science, Tuscany, Italy, September 22-25, 2024
2. Yun Yin, Jiye Li, Alireza Ghasemi, Claver Diallo, “Developing hybrid learning models to predict the duration of maintenance tasks”, Optimization Days 2024, HEC Montreal
3. Jiye Li, Yun Yin, Daniel Lafond, Alireza Ghasemi, Claver Diallo and Eric Bertrand, “Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation”, 9th International Conference on machine Learning, Optimization & Data science, – September 22 – 26, 2023 – Grasmere, Lake District, England
4. Mufaddal Lokhandwala, Ahmed Saif, Alireza Ghasemi, Machine Learning Models for Storm Damage Prediction in Nova Scotia, Canada, International Conference on Decision Aid Sciences and Applications, 16th – 17th September 2023, Annaba, Algeria
5. Ghahtarani, A., Saif, A., & Ghasemi, A. (2023) Worst-Case Conditional Value at Risk for Asset Liability Management: A Novel Framework for General Loss Functions, 64th annual conference of Canadian Operations research Society.
6. Ghahtarani, A., Saif, A., & Ghasemi, A. Delage, E. (2023) A Double-oracle, Logic-based Benders decomposition approach to solve the K-adaptability problem, 2023 XVI International Conference Stochastic Programming.
7. Ghahtarani, A., Saif, A., & Ghasemi, A. Delage, E. (2022) A Double-oracle, Logic-based Benders decomposition approach to solve the K-adaptability problem, annual conference Optimization Days.
8. Ali, Md Hasan; Saif, Ahmed; Ghasemi, Alireza, Robust Job Shop Scheduling with Condition-Based Maintenance and Random Breakdowns, 10th IFAC Conference on Manufacturing Modelling, Management and Control, (June 2022) Nantes France

Courses Taught

• Operations Research Stochastic & Non-Linear (2011 to 2016)
• Simulation of Industrial Systems (2011)
• Advanced Simulation of Industrial Systems (2011)
• Engineering Economics (2012-2014)
• Maintenance Engineering and Management (2012-2016)
• Operations Research Methods for Systems Engineering (2015)
• Advanced Maintenance Engineering & Management (2014-2016)
• Quality Control and Reliability (One module out of three) (2015)
• Directed Studies (2012 - 2016)