Rate My Professor Arie Adriaensen

Dr. Arie Adriaensen is an Assistant Professor in the Faculty of Technology, Policy and Management at Delft University of Technology, affiliated with the Department of Multi-Actor Systems in the Systems Engineering section. He works as a Human Factors and System Safety Researcher, focusing on resilience engineering and socio-technical modelling methods such as the Functional Resonance Analysis Method (FRAM) and the System-Theoretic Accident Model and Processes (STAMP). His expertise covers domains including aviation, healthcare, and collaborative robotics, as well as ethical issues in safety management. Adriaensen is a member of the FRAM methodology and software group, dedicated to reviewing, researching, and developing FRAM, and he chairs the Young Talents Committee of the Resilience Engineering Association to support emerging researchers in the field.

Adriaensen's academic background includes a Doctorate from Katholieke Universiteit Leuven in 2023 on the Development of a Systemic Safety Assessment Method for Human-Robot Interdependencies, a Master in Human Factors and System Safety from Lund University in 2017, a certificate in Aircraft Accident Investigation from the German Federal Bureau of Aircraft Accident Investigation in 2016, a Bachelor in Philosophy from Universiteit Antwerpen in 2014, and an Airline Transport Pilot License from AIRMED in Valencia in 2001. He began his career as a commercial airline pilot and safety manager before entering academia. At TU Delft, he teaches courses like Engineering Risk Management. His notable publications include 'Building a functional resonance analysis method (FRAM) in healthcare: A systematic review on how steps are reported, defined and supported by data' (2026, with N.M. Luijcks et al.), 'The FRAM-IA to Understand and Assess Distributed Cognition and Control' (2025, with Paulina Zurawska), 'Resilience Potentials for Health and Safety Management in Cobot Applications Using the Resilience Analysis Grid' (2023, with M. Bernabei et al.), and 'Systems-theoretic interdependence analysis in robot-assisted warehouse management' (2023, with L. Pintelon et al.). These contributions advance safety analysis in complex socio-technical systems.