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Amir is an assistant professor specializing in probabilistic methods and transport safety at TU Delft. His research interests lie at the intersection of transport engineering, social science, and data science, particularly in understanding human behavior's impact on road safety through observational data and statistical econometric methods. He uses advanced machine learning algorithms to analyze road safety issues. Prior to joining TU Delft, Amir worked at Queensland University of Technology, University of Queensland, McGill University, École Polytechnique Montréal, and Concordia University. He earned his PhD in road safety from the University of Queensland in Brisbane, Australia. Amir has over 15 years of experience in road safety research and has published numerous peer-reviewed articles in prestigious journals. His contributions include research in behavioral interactions among road users, anticipating driver behavior, and analyzing crash data through advanced statistical models. He leads various research projects, focusing on innovative approaches to enhance urban transport safety.
Delft University of Technology • Delft, Netherlands
Conducting research and teaching in transport engineering and safety.
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