Alessandro Abate - Research Interests

  • Theory (Verification and Control)

    • Stochastic Dynamical and Control Systems

      • Stochastic Hybrid Systems

      • General State-Space Models

      • Automated Formal Verification (over temporal specifications)

      • Abstractions, (Bi)Simulations, Compositions

      • Stochastic Optimal Control (DP), Correct-by-Design Automated Synthesis (CEGIS)

    • Switched, Hybrid, and Discrete-Event (e.g., MPL) Systems

      • Analysis (e.g., Reachability), Finite Abstractions, Automated Verification, Symbolic Control Synthesis

    • Certified Learning, and Learning for Verification

      • Bayesian inference, reinforcement learning, and game theory

  • Applications

    • Cyber-Physical Systems (Energy Systems and Networks)

    • Safety Critical Systems (Automotive, Space)

    • Systems Biology

Research support is gratefully acknowledged to:

alt text 
  • RTE

alt text 
  • The Alan Turing Institute, London

alt text 
  • EDF Research UK

alt text 
  • Oxford University Press

  • Pitch In fund

  • Innovate UK (KTP and HICLASS project)

  • NVIDIA, Denso, Toyota, ZF

  • the Lucy Halsall fund

alt text 
  • The European Commission, 7th Framework Program

alt text 
  • NWO, the Netherlands Organization for Scientific Research

alt text 
  • The European Commission, MC Actions

alt text 
  • The French-Dutch Academy of Sciences