Hi, I'm Marco Coraggio
Senior Postdoc at Scuola Superiore Meridionale - School for Advanced Studies, Italy
Complex networks and Data-driven control
About me
I'm a PhD Control Systems Engineer and Researcher.
I'm now a Senior Postdoc in Modeling and Engineering Risk and Complexity at Scuola Superiore Meridionale - School for Advanced Studies, in Italy. Before that, I've been a Postdoc at the University of Naples Federico II, where I also got my PhD in 2020.
Two questions fuel my current research:
> What is the behavior of interacting systems?
> How can automatic systems learn?
To answer them, I'm researching topics at the intersection of complex networks, data-driven control, and machine learning.
Get in touch
Links
Research
Data-driven methods for complex networks
M. Coraggio, M di Bernardo “Data-driven design of complex network structures to promote synchronization”, submitted to IEEE Control Systems Letters and 2023 American Control Conference (ACC), 2023
Piecewise-smooth systems and networks
M. Coraggio, P. De Lellis, M. di Bernardo, “Convergence and synchronization in networks of piecewise-smooth systems via distributed discontinuous coupling”, Automatica, 129:109596, 2021
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
🥈 Finalist of IEEE CSS Italy Best Young Paper Award 2022M. 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
M. Coraggio, P. DeLellis, S. J. Hogan, M. di Bernardo, “Synchronization of networks of piecewise-smooth systems”, IEEE Control Systems Letters, 2(4):653–658, 2018
D. Fiore, M. Coraggio, M. di Bernardo, “Observer design for piecewise-smooth and switched systems via contraction theory”, IFAC-PapersOnLine, 50(1):2959–2964, (IFAC 2017 World Congress, Tolouse, France) 2017
Reinforcement learning
F. De Lellis, M. Coraggio, G. Russo, M. Musolesi, M. di Bernardo, “Guaranteeing control requirements via reward shaping in reinforcement learning”, accepted for publication in IEEE Transactions on Control System Technology, 2024
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 Conference, 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, PMLR, 168:1048–1059, Palo Alto, CA, USA, 2022
Power grids
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. Lo Iudice, R. Cardona-Rivera, A. Grotta, M. Coraggio, M. di Bernardo, “Consensus-based Distributed Intentional Controlled Islanding of Power Grids”, IEEE Transactions on Control of Network Systems (issue TBA), 2023
M. Coraggio, S. Jafarpour, F. Bullo, M. di Bernardo, “Minimax flow over acyclic networks: Distributed algorithms and microgrid application”, IEEE Transactions on Control of Network Systems, 10(2):937–946, 2022
🥇 Winner of IEEE CSS Italy Best Young Paper Award 2023
Epidemics
M. Coraggio, S. Xie, F. De Lellis, G. Russo, M. di Bernardo, “Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization”, 2021 60th IEEE Conference on Decision and Control, pp. 3538–3543, held online, 2021
F. Della Rossa, D. Salzano, A. Di Meglio, F. De Lellis, M. Coraggio, C. Calabrese, A. Guarino, R. Cardona, P. DeLellis, 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 Communications, 11:5106, 2020
Geometric pattern formation
A. Giusti, G. C. Maffettone, D. Fiore, M. Coraggio, M. di Bernardo, “Distributed control for self-organization of large-scale multiagent systems in geometric patterns”, Frontiers of Robotics and AI, 10, 2023
A. Giusti, M. Coraggio, M. di Bernardo, “Local convergence of multi-agent systems towards rigid lattices”, IEEE Control Systems Letters, 7:2869–2874, 2023
Control applications
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
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
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, Limassol, Cyprus, 2018
Teaching
Teaching undergraduate course "Sistemi dinamici", 32 h, at Scuola Superiore Meridionale
Teaching assistance for courses "Automatic control" (undergraduate), "Nonlinear dynamics and control" (graduate) at University of Naples Federico II, and "Modeling complex systems" (PhD) at Scuola Superiore Meridionale
Teaching in courses “Controlling operations of processes to solve problems” and “Instructions into machine control units to start operation” aimed to industry, for Leonardo Technical Training, in ASSETs+ European project
Activities and Awards
Editoring
Associate Editor (contributed papers) for European Control Conference 2023
Technical program committee member for the 12th (2023) and 9th (2020) International Conference on Complex Networks and their Applications
Roles
Co-organizer of “SSM Scientific Colloquia” at Scuola Superiore Meridionale in years 2020-21 and 2021-22. The series were 30 and 31 talks by world-renowned experts in Engineering, Math, and Physics, with average attendance of 40 and 50 people, respectively
Co-organizer of “Gravitational Waves from Theory to Experiments: The Birth of a New Astronomy” at Scuola Superiore Meridionale. 7 lectures by world-renowned experts (including a Nobel laureate) in Physics, with average attendance and views of 350 people
Awards and recognitions
Winner of the 2023 IEEE CSS Italy Young Author Best Paper Award with the paper “Minimax Flow Over Acyclic Networks: Distribut-ed Algorithms and Microgrid Application”
Finalist of the 2022 IEEE CSS Italy Young Author Best Paper Award with the paper “Distributed discontinuous coupling for convergence in networks of heterogeneous nonlinear systems”
Ranked 1st/13 candidates for the grant of a postdoctoral fellowship at Scuola Superiore Meridionale
Admitted to practice as an IT Engineer in Italy with grade 10/10 (top 5%)
Awarded postdoctoral fellowship at University of Naples Federico II
Awarded SIAM Student Travel Award to attend SIAM Conference on Applications of Dynamical Systems 2019
Awarded IEEE-CSS Student Support to attend IEEE Conference on Decision and Control 2018
Ranked 1st/25 candidates for the grant of a fully funded PhD position, issued by Italian Ministry of Education
Awarded funding to visit the University of Bristol by Italian Ministry of Education for master thesis
Software
Scientist's Matchbox: a free collection of carefully designed templates and guides to enhance scientific production.
Gallery
Contacts
Scuola Superiore Meridionale - School for Advanced Studies, room A.3
Largo San Marcellino 10, 80138, Naples, Italy
