Alessandro Corbetta

Alessandro Corbetta is an Assistant Professor in the Department of Applied Physics and Science Education at Eindhoven University of Technology (TU/e). He leads the 'AI for Traffic and Complex Flows' group, focusing on pedestrian dynamics, machine learning in fluid mechanics, and active flowing matter. His work integrates empirical data, statistical physics, and computational methods to model crowd behavior and optimize pedestrian environments.

Education & Academic Background:

• MSc (cum laude) in Mathematical Engineering, Polytechnic University of Turin (2011)
• PhD in Applied Mathematics, TU/e (2016)
• PhD in Structural Engineering, Polytechnic University of Turin (2016)

Research Interests:

His research spans pedestrian dynamics, machine learning for fluid mechanics, turbulence modeling, and high-performance computing. Key areas include real-world crowd tracking, AI-driven crowd management, and statistical mechanics applied to big data analytics.

Awards & Grants:

• 2021 Ig Nobel Prize in Physics for studying pedestrian collision avoidance
• 2018 VENI Grant (NWO) for 'Understanding and Controlling Human Crowd Flows'

Teaching & Academic Contributions:

• Responsible for courses like 'Machine Learning in Science' and 'Machine Learning for Fluid Mechanics'
• Editor-in-Chief of Collective Dynamics

Labs & Collaborations:

Collaborates with municipalities, museums, and festivals to deploy real-time crowd management systems. Active in TU/e's Intelligent Lighting Institute and Fluids and Flows research groups.