Amin Kaboli
Web site: Web site: https://sin.epfl.ch
Fields of expertise
Artificial Intelligence (AI), Product Management, Supply Chain.
Biography
Dr. Amin Kaboli is a lecturer at Swiss Federal Institute of Technology in Lausanne (EPFL), specializing in Supply Chain and AI. He coaches and advises tech founders, business executives, and numerous AI startups across industries. His expertise in AI, supply chain, and operational excellence has benefited 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.
Teaching & PhD
Teaching
Mechanical Engineering
Computer Science
Courses
AI product management
AI is set to transform several industry sectors, and there is high demand for AI product managers. AI product management is a complex role that requires an understanding of both AI and product management. This course will enable students to identify opportunities for developing new AI products, understand when they should use AI in an existing product/process, manage the development of AI produ
Sustainable products and supply chains
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.
Production management
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.
Continuous improvement of manufacturing systems
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.