Giuseppe Belgioioso

I am an Assistant Professor in the Division of Decision and Control Systems (DCS) at KTH Royal Institute of Technology, Stockholm, Sweden. I am also a Digital Futures Fellow and a faculty member of the Wallenberg AI, Autonomous Systems and Software Program (WASP). 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.

 

**Join the team: Currently looking for PhD students and Postdocs**

Note to prospective students & postdocs

If you are interested in joining my team,(1) read about my research and (2) reach out by sending me an email with your CV, transcript of courses, a statement of research interests, as well as a list of reference contacts. Note that all job openings are found on the KTH portal, and formal applications must be submitted there. 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 research is primarily focused on the interplay of automatic control, optimization, and game theory with applications to complex systems, especially large-scale infrastructures such as electrical power grids. My ultimate goal is 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 fairness of these smart control mechanisms

3. Driving technological advancements through 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, preprints, and report visit my Google Scholar profile, and for the latest news my LinkedIn profile.

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:

• Daniel Tihanyi, KTH & WASP

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

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

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

Postodoctoral researchers:

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

• Emilio Benenati, KTH & WASP

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

Researcher assistant (amanuens):

• Jinyu Han, KTH & Digital Futures

Long-term visitors:

• Prof. Gianluca Bianchin, UC Louvain (May-June 2025)

 

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:

• MAESTRO:Multi-Agent Energy Systems in Transmission Grid Real-time Operation (website)