Marco Coraggio
Ricercatore in tenure track
- GSD 09/IINF-04 ; SSD IINF-04/A
- m.coraggio@ssmeridionale.it
- marco-coraggio.com
- Full CV
- Via Mezzocannone, n.4-80134 (NA)
- Area Interdisciplinare Scientifico-Tecnologica
Bio
Marco Coraggio is an Assistant Professor in Tenure Track in Control Systems Engineering at the Scuola Superiore Meridionale , Naples, Italy.
He received his PhD degree in “Information Technology and Electrical Engineering” from the University of Naples Federico II, in 2020. He was a Postdoctoral Fellow at the University of Naples Federico II, from 2020 to 2021, and at the Scuola Superiore Meridionale , from 2021 to 2024. Since 2024, he has been an Assistant Professor in Tenure Track at the Scuola Superiore Meridionale . He has been a visiting academic at the University of Bristol, the University of California Santa Barbara, the University of Linkoping, and the Tokyo Institute of Technology.
Dr. Coraggio is the author of 21 scientific publications on different journals and conference proceedings, including Nature Communications and Automatica. He has delivered more than 35 talks at conferences and seminar lectures, including invited ones.
Dr. Coraggio has received different awards and acknowledgments, including being the winner (2023) and the finalist (2022) of the “IEEE CSS Italy Young Author Best Paper Award”. He served multiple times as an Associate Editor for the European Control Conference, and as Technical Program Committee Member for the International Conference on Complex Networks and their Applications.
Personal website: marco-coraggio.com | Full CV: here
Ricerca
Dr. Coraggio’s current research focus lies at the intersection of the analysis and control of complex networks and data-driven/reinforcement-learning-based control.
In particular, the areas in which he has carried out research include:
- Groups of humans and avatars/robots
- Data-driven methods for complex networks
- Piecewise-smooth systems and networks
- Reinforcement learning
- Power grids
- Epidemics
- Geometric pattern formation
- Control applications
Pubblicazioni
Journal papers
- F. De Lellis, M. Coraggio, N. C. Foster, R. Villa, C. Becchio, M. di Bernardo, “Data-driven architec-ture to encode information in the kinematics of robots and artificial avatars”, IEEE Control System Letters 8:1919–1924, 2024
- F. De Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, “Guaranteeing control require-ments via reward shaping in reinforcement learning”, IEEE Transactions on Control System Tech-nology, 32(6):2102-2113, 2024
- A. Giusti, G. C. Maffettone, D. Fiore, M. Coraggio, M. di Bernardo, “Distributed control for geometric pattern formation of large-scale multirobot systems”, Frontiers in Robotics and Artificial Intelli-gence, 10, 2023
- A. Giusti, M. Coraggio, M. di Bernardo, “Local convergence of multi-agent systems towards triangu-lar patterns”, IEEE Control Systems Letters, 7:2869–2874, 2023
- F. Lo Iudice, R. Cardona-Rivera, A. Grotta, M. Coraggio, M. di Bernardo, “Consensus-based distrib-uted intentional controlled islanding of power grids”, IEEE Transactions on Control of Network Systems, 11(1):233–243, 2023
- M. Coraggio, S. Jafarpour, F. Bullo, M. di Bernardo, “Minimax flow over acyclic networks: Distrib-uted algorithms and microgrid application”, IEEE Transactions on Control of Network Systems, 10(2):937–946, 2022
- M. Coraggio, P. De Lellis, M. di Bernardo, “Convergence and synchronization in networks of piece-wise-smooth systems via distributed discontinuous coupling”, Automatica, 129:109596, 2021
- F. Della Rossa, D. Salzano, A. Di Meglio, F. De Lellis, M. Coraggio, C. Calabrese, A. Guarino, R. Car-dona, P. De Lellis, D. Liuzza, F. Lo Iudice, G. Russo, M. di Bernardo, “A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic”, Nature Commu-nications, 11: 5106, 2020
- M. Coraggio, P. De Lellis, M. di Bernardo, “Distributed discontinuous coupling for convergence in networks of heterogeneous nonlinear systems”, IEEE Control Systems Letters, 5(3):1037–1042, 2020
- M. Coraggio, P. De Lellis, S. J. Hogan, M. di Bernardo, “Synchronization of networks of piecewise-smooth systems”, IEEE Control Systems Letters, 2(4):653–658, 2018
- M. Coraggio, M. Homer, O. D. Payton, M. di Bernardo, “Improved control strategies for tapping mode atomic force microscopes”, IEEE Transactions on Control System Technology, 26(5):1673–1684, 2018
Conference papers
- A. Grotta*, M. Coraggio* (*co-first), A. Spallone, F. De Lellis, M. di Bernardo, “Learning-based cogni-tive architecture for enhancing coordination in human groups”, accepted at 5th IFAC Workshop on Cyber-Physical Human Systems (CPHS), available as arXiv:2406.06297, 2024
- M. Coraggio, M di Bernardo “Data-driven design of complex network structures to promote syn-chronization”, 2024 American Control Conference (ACC), pp. 4396–4401, Toronto, Canada, 2024
- F. Lo Iudice, E. Dudkina, M. Coraggio, M. di Bernardo, E. Crisostomi, “A distributed strategy for parallel power system restoration”, 2023 IEEE Belgrade PowerTech, pp. 1–6, Belgrade, Serbia, 2023
- F. De Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, “CT-DQN: Control-tutored deep reinforcement learning”, Proceedings of the 5th Annual Learning for Dynamics and Control Confer-ence (L4DC), PMLR, 211:941-953, Philadelphia, PA, USA, 2023
- F. De Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, “Control-tutored reinforcement learning: Towards the integration of data-driven and model-based control”, Proceedings of the 4th Annual Learning for Dynamics and Control Conference (L4DC), PMLR, 168:1048–1059, Palo Alto, CA, USA, 2022
- M. Coraggio, S. Xie, F. De Lellis, G. Russo, M. di Bernardo, “Intermittent non-pharmaceutical strate-gies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization”, 2021 60th IEEE Conference on Decision and Control (CDC), pp. 3538–3543, held online, 2021
- D. Marchese, M. Coraggio, S. J. Hogan, M. di Bernardo, “Control of Painlevé paradox in a robotic system”, 2019 European Control Conference (ECC), pp. 2620–2625, Naples, Italy, 2019
- D. A. Burbano L., M. Coraggio, M. di Bernardo, F. Garofalo, M. Pugliese, “Adaptive and quasi-sliding control of shimmy in landing gears”, 2018 European Control Conference (ECC), pp. 563–568, Li-massol, Cyprus, 2018
- D. Fiore, M. Coraggio, M. di Bernardo, “Observer design for piecewise-smooth and switched sys-tems via contraction theory”, IFAC-PapersOnLine, 50(1):2959–2964, (IFAC 2017 World Congress), Tolouse, France, 2017
Other
- M. Coraggio, “Analysis and control of piecewise-smooth systems and networks”, PhD dissertation, Dept. of Information Technology and Electrical Engineering, University of Naples Federico II, Italy, 2020
Corsi
Academic year 2024-2025
- Teacher of course “Teoria del Controllo” at Scuola Superiore Meridionale , for undergraduate students in the Class of Math, Physics, and Engineering. 6 CFU (credits). 48 h
- Teacher of course “Introduction to Python Programming” at Scuola Superiore Meridionale , for graduate students in the Modeling and Engineering Risk and Complexity PhD Program. 2 CFU (credits). 12 h
- Teacher of course “Sistemi Dinamici” (dynamical systems) at Scuola Superiore Meridionale , for undergraduate students in the Class of Math, Physics, and Engineering. 4 CFU (credits). 32 h
Academic year 2023-2024
- Teacher of course “Sistemi Dinamici” (dynamical systems) at Scuola Superiore Me-ridionale, for undergraduate students in the Class of Math, Physics, and Engineering. 4 CFU (credits). 32 h
Academic year 2022-2023
- Teacher of course “Sistemi Dinamici” (dynamical systems) at Scuola Superiore Me-ridionale, for undergraduate students in the Class of Math, Physics, and Engineering. 4 CFU (credits). 32 h
Academic year 2021-2022
- Teacher of course “Controlling operations of processes to solve problems”, held online, organized by Leonardo Technical Training, within the ASSETs+ Erasmus+ European Project, aimed at researchers and industry (EQF level: 4). 12 h total. 4 h taught
- Teacher of course “Instructions into machine control units to start operation” held online, organized by Leonardo Technical Training, within the ASSETs+ Erasmus+ European Project, aimed at researchers and industry (EQF level: 5). 20 h total. 4 h taught
Further teaching activity: here
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