Dr Mirco Giacobbe PhD

School of Computer Science
Lecturer in Computer Science

Contact details

School of Computer Science
University of Birmingham
B15 2TT

Mirco Giacobbe is a Lecturer in Computer Science in the Theory of Computation group. His research interests lie between formal methods and artificial intelligence.

He designs methods for the safety assurance of algorithmic systems with application to software, cyber-physical systems, and deep learning systems.


PhD in Computer Science, Institute of Science and Technology Austria, 2019


  • Computer-aided Verification


Recent publications


Abate, A, Giacobbe, M & Roy, D 2021, Learning Probabilistic Termination Proofs. https://doi.org/10.1007/978-3-030-81688-9_1

Giacobbe, M, Henzinger, TA & Lechner, M 2020, How Many Bits Does it Take to Quantize Your Neural Network?. https://doi.org/10.1007/978-3-030-45237-7_5

Frehse, G, Giacobbe, M & Henzinger, TA 2018, Space-time interpolants. https://doi.org/10.1007/978-3-319-96145-3_25

Bogomolov, S, Giacobbe, M, Henzinger, TA & Kong, H 2017, Conic abstractions for hybrid systems. https://doi.org/10.1007/978-3-319-65765-3_7

Bogomolov, S, Frehse, G, Giacobbe, M & Henzinger, TA 2017, Counterexample-guided refinement of template polyhedra. https://doi.org/10.1007/978-3-662-54577-5_34

Giacobbe, M, Guet, CC, Gupta, A, Henzinger, TA, Paixao, T & Petrov, T 2015, Model checking gene regulatory networks. https://doi.org/10.1007/978-3-662-46681-0_47

Biallas, S, Giacobbe, M & Kowalewski, S 2013, Predicate abstraction for programmable logic controllers. https://doi.org/10.1007/978-3-642-41010-9_9


Abate, A, Ahmed, D, Giacobbe, M & Peruffo, A 2021, 'Formal synthesis of Lyapunov neural networks', IEEE Control Systems Letters, vol. 5, no. 3, pp. 773-778. https://doi.org/10.1109/LCSYS.2020.3005328

Giacobbe, M, Guet, CC, Gupta, A, Henzinger, TA, Paixão, T & Petrov, T 2017, 'Model checking the evolution of gene regulatory networks', Acta Informatica. https://doi.org/10.1007/s00236-016-0278-x


Alur, R, Giacobbe, M, Henzinger, TA, Larsen, KG & Mikučionis, M 2019, Continuous-time models for system design and analysis. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-319-91908-9_22

Conference contribution

Abate, A, Ahmed, D, Edwards, A, Giacobbe, M & Peruffo, A 2021, FOSSIL: a software tool for the formal synthesis of lyapunov functions and barrier certificates using neural networks. in HSCC '21: Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control., 24, Association for Computing Machinery (ACM). https://doi.org/10.1145/3447928.3456646

Bacci, E, Giacobbe, M & Parker, D 2021, Verifying reinforcement learning up to infinity. in Z-H Zhou (ed.), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence: Montreal, 19-27 August 2021. International Joint Conferences on Artificial Intelligence Organization (IJCAI), pp. 2154-2160, 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 21/08/21. https://doi.org/10.24963/ijcai.2021/297

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