My research interests lie on the analysis, verification, and optimal control of heterogeneous and complex dynamical models -- in particular of stochastic hybrid systems -- and in their applications in cyber-physical systems (smart energy and safety-critical autonomy), and modelling for the life sciences (systems biology). I am interested in a principled integration of model-based mathematical techniques with data-driven learning algorithms.
I am Professor of Verification and Control in the Department of Computer Science at the University of Oxford. Earlier, I did research at Stanford University and at SRI International, and was an Assistant Professor at the Delft Center for Systems and Control, TU Delft. I received a Laurea degree from the University of Padova and MS/PhD at UC Berkeley.
Automated formal synthesis of provably safe digital controllers for continuous plants
Alessandro Abate‚ Iury Bessa‚ Lucas Cordeiro‚ Cristina David‚ Pascal Kesseli‚ Daniel Kroening and Elizabeth Polgreen
In Acta Informatica. December, 2019.
Data−efficient Verification of Parametric Markov Chains
A. Abate E. Polgreen V. Wijesuriya S. Haesaert
In Quantitative Evaluation of SysTems (QEST). 2016.
A Mathematical Model to Study the Dynamics of Epithelial Cellular Networks
A. Abate‚ S. Vincent‚ R. Dobbe‚ A. Silletti‚ N. Master‚ J. Axelrod and C. Tomlin
In IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). Vol. 9. Pages 1607−1620. 2012.
- Cyber Physical Systems
- Software Model Checking
- Probabilistic Verification for Systems Biology
- Machine Learning Systems
- Quantitative Analysis and Verification
- Probabilistic Model Checking