Rate My Professor Felix Siebert

Siebert earned his Ph.D. from Leuphana University of Lüneburg, Germany, in 2017, following an M.Sc. in Human Factors from TU Berlin. His scholarly impact is evidenced by over 1,169 citations on Google Scholar, with an h-index reflecting influence in traffic psychology and behavior. Key publications encompass 'Detecting motorcycle helmet use with deep learning' (Accident Analysis & Prevention, 2020), 'Helmet use detection of tracked motorcycles using CNN-based multi-task learning' (IEEE Access, 2020), 'Braking bad–Ergonomic design and implications for the safe use of shared E-scooters' (Safety Science, 2021), 'Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics' (Journal of Safety Research, 2013), and 'Patterns of motorcycle helmet use–A naturalistic observation study in Myanmar' (Accident Analysis & Prevention, 2019). At DTU, he supervises PhD students on topics including road safety, driving culture, and mobility behaviors. Siebert holds leadership roles as Co-Director and Vice-Chairman of the Human Factors and Ergonomics Society Europe Chapter (2024–2026), where he has been a member since 2011, and will organize the chapter's 2026 annual meeting in Copenhagen.