Giuseppe Belgioioso

Giuseppe Belgioioso is an Assistant Professor at the Division of Decision and Control Systems within the Digital Futures Faculty at KTH Royal Institute of Technology. His research focuses on control systems, game theory, and optimization algorithms applied to complex systems such as smart grids, data centers, and multi-agent networks. He collaborates with Stockholm University and RISE Research Institutes of Sweden through the Digital Futures initiative. His work bridges theoretical foundations with practical applications in energy markets, networked systems, and algorithmic fairness.

Belgioioso’s research interests include distributed optimization, equilibrium seeking in games, and data-driven control methodologies. He explores carbon-aware computing strategies for sustainable data centers and designs algorithms to mitigate polarization in recommendation systems. His contributions often integrate game-theoretic models with feedback control principles to address real-world challenges in energy systems, traffic routing, and peer-to-peer energy trading.

His recent work emphasizes online learning and model-free approaches for dynamic systems, with applications to multi-area power grids and autonomous decision-making. He has published extensively on topics such as hypergradient-based optimization, decentralized equilibrium seeking, and stability analysis of distributed algorithms. His research is characterized by a strong interdisciplinary approach, combining systems theory with practical engineering solutions.