Dr. Chiara Segala

Academic Positions

• PostDoc, IGPM, RWTH Aachen University (November 2021 - present)
  Research group of Prof. Dr. Michael Herty
• PhD in Mathematics, University of Trento, (2018 - 2021)
  Advisor: Prof. Dr. Giacomo Albi

Research Interests

• Control of high-dimensional and nonlinear differential systems
• Mathematical and numerical modelling for multi-agent systems
• Numerical methods for solving mean-field partial differential equations
• Uncertainty quantification
• Neural networks, kernel methods

Preprints

• C. Fiedler, M. Herty, C. Segala, S. Trimpe:
  Kernel Methods for Multiagent Systems: Numerical Results
  Submitted, 2024.
  
• M. Herty, C. Segala, G. Visconti:
  Controllability of continuous networks and a kernel-based learning approximation
  Submitted, 2024.
  

Publications (Scopus link)

• M. Gugat, M. Herty, C. Segala:
  The turnpike property for mean-field optimal control problems
  European Journal of Applied Mathematics, 2024.
  
• G. Albi, M. Herty, C. Segala:
  Robust feedback stabilization of interacting multi-agent systems under uncertainty
  Applied Mathematics and Optimization, 2023.
  
• C. Fiedler, M. Herty, M. Rom, C. Segala, S. Trimpe:
  Reproducing kernel Hilbert spaces in the mean field limit
  Kinetic and Related Models, 2023.
  
• G. Albi, M. Herty, D. Kalise, C. Segala:
  Moment-Driven Predictive Control of Mean-Field Collective Dynamics
  SIAM Journal on Control and Optimization, 2022.
  
• D. Rigo, C. Segala, N. Sansonetto, R. Muradore:
  Second-Order-Optimal Filter on Lie Groups for Planar Rigid Bodies
  IEEE Transactions on Automatic Control, 2022.
  
• G. Albi, F. Ferrarese, C. Segala:
  Optimized leaders strategies for crowd evacuation in unknown environments with multiple exits
  Crowd Dynamics, 2021.
  

Thesis

• C. Segala:
  Robust control strategies for mean-field collective dynamics
  PhD thesis, University of Trento, 2022.