Giuseppe Belgioioso

I am an Assistant Professor in the department of Decision and Control Systems (DCS) at KTH Royal Institute of Technology, Stockholm, Sweden. I am also a Digital FuturesFaculty and a WASP Fellow, as of July 1st, 2024. From 2021 to 2024, I was first a Postdoc and then a Senior Scientist in the Automatic Control Laboratory (ifA) at ETH Zurich, Switzerland. I obtained my Bachelor's and Master's degrees (cum laude) at the University of Padova, Italy, in 2012 and 2015, respectively; and my PhD in automatic control from Eindhoven University of Technology, The Netherlands, in 2020. I was also a visiting scholar at Arizona State University (ASU), USA, in 2019; and an Intern at the Control Systems group a the University of Padova, Italy, in 2016.

Note to prospective students & postdocs

If you are interested in joining my team, (1) read about my researchand (2) reach outby sending me an email with your CV, transcript of courses, a statement of research interests, as well as a list of reference contacts. I will do my best to get back to you but the timeline may be long. Note that all job openings are found on the KTH portal, and formal applications must be submitted there to be considered. I welcome self-funded applications through national and international scholarship programs (e.g., Marie Skłodowska-Curie, Digital Future Postdoc Fellowships, etc.). I am also open to hosting short-term research visits for motivated students and researchers whose interests align with my group.

Research Interests

My researchis primarily focused on the interplay of automatic control, optimization, and game theorywith applications to complex systems, especially large-scale infrastructures such as electrical power grids. My ultimate goalis toimprove their efficiency, reliability, and fairness by:

1.Designing novel algorithms and numerical methods to enable effective deployment of smart control mechanisms (such as demand-side management, real-time voltage control, and autonomous energy trading in smart grids);

2. Developing a solid theoretical framework tocertify reliability, performance, and fairnessof these smart control mechanisms

3. Driving technological advancementsthrough the integration of the methods developed in (1) and validated in (2) into real-world energy systems, through collaborations with industrial partners.

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For an updated list of publications and preprints visit my Google Scholar profile, and for the latest news my LinkedIn profile and my Personal Webpage.

My team

I am privileged to work with an outstanding research team! We're a rapidly growing with everyone being either formally co-advised or being integrated through various collaborations.

Doctoral candidates:

• Manqi (Maggie) Xu, KTH (co-advised with Henrik Sandberg)

• Lisa Innocenti Uccini, KTH (co-advised with Mikael Johansson)

• Joas Kahlert, KTH (co-advised with Jonas Mårtensson)

• Daniel Tihanyi, KTH & WASP  (co-advised with Dimos Dimarogonas)

• Tommaso Zaccherini, KTH (co-advised with Dimos Dimarogonas & Siyuan Liu)

• Jonas Matt, ETH (co-advised with Saverio Bolognani & Florian Dorfler)

Postodoctoral researchers:

• Andrea Martin, KTH & Digital Futures (co-advised Mikael Johansson)

• Emilio Benenati, KTH & WASP

• Yue Han, KTH & Digital Futures (co-advised with Abbas Dashtimanesh & Jelena Zdravkovic)

• Liquan Lin, KTH & Digital Futures (co-advised with Qianwen Xu)

Long-term visitors:

• Prof. Filippo Fabiani, IMT Lucca (summer 2026)

• Prof. Gianluca Bianchin, UC Louvain (summer 2025)

Alumni:

• Sophie Hall, ETH, June 2026 (co-advised with Dominic Liao-McPherson & Florian Dorfler)

Recent topics:

• Systems theory persepective on algorithms
  • Dörfler, F., He, Z., Belgioioso, G., Bolognani, S., Lygeros, J., & Muehlebach, M. (2024). Towards a systems theory of algorithms.IEEE Control Systems Letters.

• Bilevel programming and application to incentives design
  • Grontas, P. D., Belgioioso, G., Cenedese, C., Fochesato, M., Lygeros, J., & Dörfler, F. (2024). BIG Hype: Best intervention in games via distributed hypergradient descent.IEEE Transactions on Automatic Control.
  • Grontas, P. D., Cenedese, C., Fochesato, M., Belgioioso, G., Lygeros, J., & Dörfler, F. (2023, December). Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype. In2023 62nd IEEE Conference on Decision and Control (CDC) (pp. 3142-3147). IEEE.

• Feedback optimization and application to electrical power grids
  • Belgioioso, G., Liao-McPherson, D., de Badyn, M. H., Bolognani, S., Smith, R. S., Lygeros, J., & Dörfler, F. (2024). Online feedback equilibrium seeking.IEEE Transactions on Automatic Control.
  • Belgioioso, G., Bolognani, S., Pejrani, G., & Dörfler, F. (2023, December). Tutorial on congestion control in multi-area transmission grids via online feedback equilibrium seeking. In2023 62nd IEEE Conference on Decision and Control (CDC) (pp. 3995-4002). IEEE.

• Algorithmic game theory and application to energy markets
  • Belgioioso, G., Yi, P., Grammatico, S., & Pavel, L. (2022). Distributed generalized Nash equilibrium seeking: An operator-theoretic perspective.IEEE Control Systems Magazine,42(4), 87-102.
  • Belgioioso, G., Ananduta, W., Grammatico, S., & Ocampo-Martinez, C. (2022). Operationally-safe peer-to-peer energy trading in distribution grids: A game-theoretic market-clearing mechanism.IEEE Transactions on Smart Grid,13(4), 2897-2907.

• Distributed and game-theoretic model predictive control
  • Hall, S., Liao-McPherson, D., Belgioioso, G., & Dörfler, F. (2024). Stability Certificates for Receding Horizon Games.arXiv preprint arXiv:2404.12165.
  • Belgioioso, G., Liao-McPherson, D., de Badyn, M. H., Pelzmann, N., Lygeros, J., & Dörfler, F. (2023). Stability and robustness of distributed suboptimal model predictive control.IFAC-PapersOnLine,56(2), 5115-5120.

Projects:

• HÅG: Human-in-the-loop Autonomy via hybrid Games | Digital Futures (website)
• MAESTRO:Multi-Agent Energy Systems in Transmission Grid Real-time Operation | SFOE (website)
• Nordic NoLL: The Nordic Network of Living Labs | NordForsk (website)
• L2P: Learning to optimize for real-time control of energy grids | Digital Futures (website)