Dr Leonardo Stella

Dr Leonardo Stella

School of Computer Science
Lecturer in Computer Science

Contact details

Address
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Leonardo Stella is a Lecturer in Computer Science.

His research interests are on the area of Game Theory, Multi-agent Systems, Machine Learning, Virtual Reality (VR), Optimisation and Control. Specifically, his research investigates approaches at the intersection of game theory and machine learning with applications to opinion dynamics, bio-inspired collective decision-making, material science, games and serious games.

More recently, he has been the supervisor of a KTP project with Bloc Digital on Fast Deployment of Digital Twin Training Solutions in Industrial Applications.

Find more about Leonardo’s research on his personal webpage.

Qualifications

  • PhD in Automatic Control and Systems Engineering, The University of Sheffield (2019)
  • Associate Fellow of the Higher Education Academy (2018)
  • Laurea Magistrale (MSc) in Artificial Intelligence and Robotics, La Sapienza Università di Roma (2016)
  • Laurea Triennale (BSc) in Computer Engineering, Università degli Studi di Palermo (2013)

Biography

Since 2022, Dr Leonardo Stella is a Lecturer in Computer Science at the School of Computer Science, University of Birmingham. Between 2019 and 2021, he was a Lecturer in Computer Games Programming at the University of Derby, School of Computing and Engineering.

His research interests are game theory and machine learning for decision-making and optimisation. His work has been published in highly-regarded international journals such as IEEE Transactions on Automatic Control (TACON), Automatica, IEEE Control Systems Letters (L-CSS), International Journal of Robust and Nonlinear Control (IJRNC) and SIAM Journal on Control and Optimization (SICON).

Dr Stella is Guest Editor for the International Journal of Robust and Nonlinear Control (IJRNC). Furthermore, he has worked as ad-hoc reviewer for major journals and conferences including IEEE Transactions on Automatic Control, Automatica, IEEE Control Systems Letters, IEEE Conference in Decision and Control, American Control Conference.

Teaching

• BSc Computer Science
• MSc Computer Science

Research

  • Game Theory, Evolutionary Game Theory
  • Machine Learning, Reinforcement Learning
  • Optimisation
  • Nonlinear Systems, Stability Analysis

Publications

Recent publications

Article

Stella, L, Bauso, D, Blanchini, F & Colaneri, P 2024, 'Cascading Failures in the Global Financial System: A Dynamical Model', Operations Research Letters. https://doi.org/10.1016/j.orl.2024.107122

Baar, W, Stella, L & Bauso, D 2023, 'Evolutionary dynamics on a regular networked structured and unstructured multi‐population', International Journal of Robust and Nonlinear Control. https://doi.org/10.1002/rnc.6987

Stella, L & Bauso, D 2023, 'The impact of irrational behaviors in the optional prisoner's dilemma with game-environment feedback', International Journal of Robust and Nonlinear Control, vol. 33, no. 9, pp. 5145-5158. https://doi.org/10.1002/rnc.5935

Palmer, C, Roullier, B, Aamir, M, McQuade, F, Stella, L & Anjum, A 2022, 'Digital twinning remote laboratories for online practical learning', Production & Manufacturing Research, vol. 10, no. 1, pp. 519-545. https://doi.org/10.1080/21693277.2022.2097140

Stella, L, Baar, W & Bauso, D 2022, 'Lower network degrees promote cooperation in the prisoner’s dilemma with environmental feedback', IEEE Control Systems Letters, vol. 6, pp. 2725-2730. https://doi.org/10.1109/LCSYS.2022.3175402

Stella, L, Bauso, D & Colaneri, P 2021, 'Mean-field game for collective decision-making in honeybees via switched systems', IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2021.3110166

Stella, L & Bauso, D 2018, 'Bio-Inspired Evolutionary Game Dynamics in Symmetric and Asymmetric Models', IEEE Control Systems Letters. https://doi.org/10.1109/LCSYS.2018.2838445

Conference contribution

Zhang, T, Gupta, H, Suprabhat, K & Stella, L 2024, A Multi-Agent Reinforcement Learning Approach to Promote Cooperation in Evolutionary Games on Networks with Environmental Feedback. in 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers (IEEE), pp. 2196-2201, 62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, Singapore, 13/12/23. https://doi.org/10.1109/CDC49753.2023.10383787

Jadeja, Y, Shafik, M, Wood, P & Stella, L 2021, An industrial self-learning robotic platform solution for smart factories industrial applications using machine and deep imitation learning. in M Shafik & K Case (eds), Advances in Manufacturing Technology XXXIV: Proceedings of the 18th International Conference on Manufacturing Research, incorporating the 35th National Conference on Manufacturing Research, 7–10 September 2021, University of Derby, Derby, UK. Advances in Transdisciplinary Engineering, vol. 15, IOS Press, pp. 119-124, 18th International Conference on Manufacturing Research, Derby, United Kingdom, 7/09/21. https://doi.org/10.3233/ATDE210023

Skull, R, Kitchen, W, Phoenix, D, Mackenzie, C, Allison, N, Hunt, R & Stella, L 2021, Incorporating human behavior in VR compartmental simulation models. in Y Itoh, K Takashima, P Punpongsanon, M Sra, K Fujita, S Yoshida & T Piumsomboon (eds), VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology., 81, ACM proceedings, Association for Computing Machinery (ACM), New York. https://doi.org/10.1145/3489849.3489946

Palmer, C, Roullier, B, Aamir, M, Stella, L, Diala, U, Anjum, A, McQuade, F, Cox, K & Calvert, A 2021, Virtual reality based digital twin system for remote laboratories and online practical learning. in M Shafik & K Case (eds), Advances in Manufacturing Technology XXXIV: Proceedings of the 18th International Conference on Manufacturing Research, incorporating the 35th National Conference on Manufacturing Research, 7–10 September 2021, University of Derby, Derby, UK. Advances in Transdisciplinary Engineering, vol. 15, IOS Press, pp. 277-283, 18th International Conference on Manufacturing Research, Derby, United Kingdom, 7/09/21. https://doi.org/10.3233/ATDE210049

Mason, DM, Stella, L & Bauso, D 2020, Evolutionary Game Dynamics for Crowd Behavior in Emergency Evacuations. in Proceedings of the IEEE Conference on Decision and Control. https://doi.org/10.1109/CDC42340.2020.9304111

Marti Mason, D, Kapinaj, M, Pinel Martínez, A & Stella, L 2020, Impact of Social Distancing to Mitigate the Spread of COVID-19 in a Virtual Environment. in Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST. https://doi.org/10.1145/3385956.3422093

Barreiro-Gomez, J, Tembine, H, Stella, L, Bauso, D & Colaneri, P 2020, Risk-Aware Control and Games in Engineering. in Proceedings of the IEEE Conference on Decision and Control. https://doi.org/10.1109/CDC42340.2020.9303958

Stella, L & Bauso, D 2018, On the nonexistence of stationary solutions in bio-inspired collective decision making via mean-field game. in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. https://doi.org/10.1109/CDC.2017.8263756

View all publications in research portal