Pierre Dersin

Pierre Dersin serves as an Adjunct Professor at Luleå University of Technology within the Department of Civil, Environmental and Natural Resources Engineering, specifically in the Division of Operation, Maintenance and Acoustics. He simultaneously works as a RAM Director (Reliability-Availability-Maintainability) and PHM Architect (Prognostics & Health Management) at Alstom Digital Mobility, demonstrating a strong industry-academia connection.

His research interests span Operation and Maintenance Engineering, Prognostics & Health Management, Reliability Engineering, and the application of Deep Learning to industrial systems. His work bridges theoretical reliability principles with practical applications in asset management, particularly in railway systems and industrial cybersecurity.

His recent publications (2024-2025) reveal a strong focus on integrating reliability engineering with artificial intelligence, particularly through his concept of Reliability-Informed Deep Learning (RIDL). His research spans multiple domains including railway asset management, LED reliability, and cybersecurity for Industry 5.0, showing interdisciplinary expertise across engineering fields.

Pierre Dersin maintains active connections with both academic and industrial communities, as evidenced by his dual affiliations and collaborative publications with researchers from institutions including Delft University of Technology and Zurich University of Applied Sciences.