RAISE AI for cyber-physical systems
AI-guided simulation-based design and verification of cyber-physical systems.
Our research focuses on AI-guided simulation of cyber-physical systems to enable their verification and optimisation via design space exploration.
Latest publications
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Scaling up statistical model checking of cyber-physical systems via algorithm ensemble and parallel simulations over HPC infrastructures
Leonardo Picchiami, Maxime Parmentier, Axel Legay, Toni Mancini, Enrico Tronci. Elsevier Journal of Systems and Software, 2024.
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Optimizing Fault-Tolerant Quality-Guaranteed Sensor Deployments for UAV Localization in Critical Areas via Computational Geometry
Marco Esposito, Toni Mancini, Enrico Tronci. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.
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Optimising Highly-Parallel Simulation-Based Verification of Cyber-Physical Systems
Toni Mancini, Igor Melatti, Enrico Tronci. IEEE Transactions on Software Engineering, 49(9), pages 4443-4455, 2023.
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Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification
Toni Mancini, Igor Melatti, Enrico Tronci. IEEE Transactions on Software Engineering, 48(10), pages 4002-4013, 2022.
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Reconciling Interoperability with Efficient Verification and Validation within Open Source Simulation Environments
Stefano Sinisi, Vadim Alimguzhin, Toni Mancini, Enrico Tronci. Simulation Modelling Practice and Theory, 109, pages 102277, 2021.