Amin Kaboli

EPFL STI SGM-GE
ME A2 408 (Bâtiment ME)
Station 9
1015 Lausanne

Expertise

Product Management, Supply Chain, Artificial Intelligence (AI).

Expertise

Product Management, Supply Chain, Artificial Intelligence (AI).
Amin is a lecturer and Co-Director of AI Product Management program at EPFL. 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.

Selected publications

Replenishment Behavior in Sequential Supply Chains.

Kaboli A, Glardon R, Zufferey N, Cheikhrouhou N.
Published in International Journal of Logistics Systems and Management, Vol. 32, Nos. 3/4, 2019 in

An Experimental Study of the Relationship between Trust and Inventory Replenishment in Triadic Supply Chain

Kaboli, A. Cheikhrouhou, N. Glardon, R. Darvish, M.
Published in The 4th Production and Operations Management World Conference, July 1-5, 2012, Amsterdam, the Netherlands. in

The Relationship between Trust and Inventory Replenishment in Supplier-Customer Dyad: An Experimental Study

Kaboli, A. Cheikhrouhou, N. Glardon, R.
Published in 4th International Conference on Information Systems, Logistics and Supply Chain, August 26-29, 2012, Quebec, Canada. in

A New Method for location selection: A hybrid analysis

Tabari, M, Kaboli, A, Aryanezhad, M, B, Shahanaghi, K, Siadat, A.
Published in Applied Mathematics and Computation, Vol. 206 (2), pp. 598-606, 2008. in

An Efficient Hybrid Method for an Expected Maximal Covering Location Problem

Tavakkoli-Moghaddam, R., Ghezavati, V, R, Kaboli, A, M. Rabbani
Published in New Challenges in Applied Intelligent Technologies, Springer Berlin-Heidelberg, ISSN: 1860-949X, Volume 134, pp. 289-298, 2008. in

A Mathematical Method for Managing Inventories in a Dual Channel Supply Chain

Teymouri, E, Mirzahosseinian, H, Kaboli, A.
Published in Vol. 19(4), pp. 31-37, 2008. in

Leadership in Virtual Teams

Kaboli, A, Tabari, M, Kaboli, E.
Published in Editors: Harsh Bhargava and Aparna Bellur,ISBN: 978-81-314-1977-9, Nov 2008. in

A Decision Framework for Location-Allocation Problems: A Case Study in Tea Industry

Tavakkoli-Moghaddam, R, Siadat, A, Kaboli, A.
Published in Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, Bangkok, Thailand, Sep 2008. in

A New Method for Location Problem: A Holistic Approach

International Journal of Engineering Transaction A: Basic
Published in Vol. 20(3), pp. 251-262, 2007. in

A Mathematical Method for Location Problem: A Fuzzy-AHP Approach

Kaboli, A, Aryanezhad, M, B, Shahanaghi, K, Niroomand, I.
Published in Proceedings of the IEEE International Conference Systems, Man,and Cybernetics, Montreal, Canada, Oct, 2007. in

Teaching & PhD

Courses

AI product management

CS-500

The course focuses on the development of real-word AI/ML products. It is intended for students who have acquired a theoretical background in AI/ML and are interested in applying that toward developing AI/ML-oriented products.

Continuous improvement of manufacturing systems

ME-498

Continuous Improvement encompasses the ongoing effort to capture, create, and deliver value to internal and external customers. This course empowers students to lead teams and harness technology to improve products, services, and processes.

Production management

ME-419

Production management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced analytics in manufacturing companies.

Sustainable products and supply chains

ME-203

The course is designed to provide a foundational understanding of sustainability principles and equip students with practical skills and tools to develop sustainable products and optimize supply chains.