Amin Kaboli

Biography

Amin is a lecturer at EPFL specializing in Product Management. He advises corporates and AI startups, applying his expertise in Product Management, Operational Excellence, and AI to drive impact across a range of industries. He has supported companies such as Philip Morris International, Nespresso, Rolex, Patek Philippe, Haleon, Sika, and the Sauber Motorsport - Alfa Romeo F1 Team. Amin holds advanced leadership diplomas from IMD Business School and a Ph.D. in Manufacturing Systems & Robotics from EPFL. You may watch his TEDx talk on “Leading Change Consciously” here. 

Selected Publications

* Bibri, E. S., Krogstie, J., Kaboli, A., & Alahi, A. (2023). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science and Ecotechnology, 100330.
Bouquet, P., Jackson, I., Nick, M., & Kaboli, A. (2023). AI-based forecasting for optimised solar energy management and smart grid efficiency. International Journal of Production Research, 1-22.
* Fatemi, M. S., Ghodratnama, A., Tavakkoli-Moghaddam, R., & Kaboli, A. (2022). A multi-functional tri-objective mathematical model for the pharmaceutical supply chain considering congestion of drugs in factories. Research in Transportation Economics, 92, 101094.
* Jalayer, M., Kaboli, A., Orsenigo, C., & Vercellis, C. (2022). Fault detection and diagnosis with imbalanced and noisy data: A hybrid framework for rotating machinery. Machines, 10(4), 237.
* Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Dehghan-Sanej, K., & Kaboli, A. (2022). Prioritizing the effective strategies for construction and demolition waste management using fuzzy IDOCRIW and WASPAS methods. Engineering, Construction and Architectural Management, 29(3), 1109-1138.
* Jalayer, M., Jalayer, R., Kaboli, A., Orsenigo, C., & Vercellis, C. (2021, July). Automatic visual inspection of rare defects: A framework based on gp-wgan and enhanced faster R-CNN. In 2021 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) (pp. 221-227). IEEE.
* Kaboli, A., Glardon, R., Zufferey, N., & Cheikhrouhou, N. (2019). Replenishment behaviour in sequential supply chains. International Journal of Logistics Systems and Management, 32(3-4), 322-345.
* Kaboli, A. (2013). Trust and inventory replenishment decision under continuous review system (No. THESIS). EPFL.
* Tabari, M., Kaboli, A., Aryanezhad, M. B., Shahanaghi, K., & Siadat, A. (2008). A new method for location selection: a hybrid analysis. Applied Mathematics and Computation, 206(2), 598-606.
* Tavakkoli-Mogahddam, R., Ghezavati, V. R., Kaboli, A., & Rabbani, M. (2008). An efficient hybrid method for an expected maximal covering location problem. New Challenges in Applied Intelligence Technologies, 289-298.
* Kaboli, A., Aryanezhad, M. B., Shahanaghi, K., & Niroomand, I. (2007, October). A new method for plant location selection problem: a fuzzy-AHP approach. In 2007 IEEE International Conference on Systems, Man and Cybernetics (pp. 582-586). IEEE.