Thomas Chatagnon

Topics:

• Balance recovery in crowded environments

• Experimental data collection in dense crowd settings (laboratory/field)

• Modeling physical interactions within dense crowds

Methods:

• Statistical analysis of influencing factors

• Head trajectory analysis

• 3D motion capture using optoelectronic or IMU-based systems

• Development of data analysis and simulation solutions

Softwares:

• JupPedSim - Developer

• PedPy – Developer/Maintainer

Publication Highlight:

• Standing balance recovery strategies of young adults in a densely populated environment following external perturbations (2023)

• Stepping strategies of young adults undergoing sudden external perturbation from different directions (2023)

Short CV:

• Since 2024: PostDoc at IAS-7 as a member of the Division Pedestrian Dynamics - Modeling

• 2023: Ph.D. in Biomechanics for Crowd Modeling at ENS Rennes- INRIA (Rennes, France), Thesis:
  Standing balance recovery strategies following external perturbations: a multiscale approach with applications to dense crowds

• 2020: M.Sc. in Computational Fluid Dynamics, Cranfield University (UK)

• 2020: Engineer's degree in Fluid Dynamics, Energy and Environment, ENSEEIHT : INP- Toulouse (France)