Simon Thevenin

Simon Thevenin is an Assistant Professor in the Automation, Production, and Computer Sciences Department at IMT Atlantique in France since 2018. He holds a Ph.D. from the University of Geneva (2015) and previously worked as a Postdoctoral researcher at HEC Montreal and an Algorithm Expert at Quintiq. His research focuses on optimization methods for production management, including scheduling, planning, and manufacturing line design. He leads projects such as the EU-funded ASSISTANT (2020-2023), ALICIA (2023-2025), and ACCURATE (2023-2026), advancing AI-driven solutions for sustainable manufacturing and supply chain resilience. His work integrates machine learning, robust optimization, and digital twin technologies to enhance production systems' adaptability and efficiency.

Education:

• Ph.D. in Production Systems Scheduling, University of Geneva (2015)
• Teaching/Research Assistant, University of Geneva (2010-2015)

Research Interests: His research emphasizes optimization under uncertainty, reconfigurable manufacturing systems, and AI applications in production. He explores topics like lot-sizing models, equipment lifecycle management, and circular manufacturing ecosystems.

Grants/Projects:

• ASSISTANT (EU-funded, 2020-2023): AI for production digital twins
• ALICIA (EU-funded, 2023-2025): Circular production resource ecosystems
• ACCURATE (EU-funded, 2023-2026): Supply chain resilience against disruptions

Labs/Teams: Part of the LS2N research lab (Modelis team) at IMT Atlantique, specializing in logistics and industrial optimization.