Giacomo Como
Papers
2
Total Citations
37
H-Index
2
About
Giacomo Como is a leading figure in the analysis and control of networked dynamical systems, with a core focus on how local interactions drive emergent global behaviors. His foundational work, "From local averaging to emergent global behaviors: The fundamental role of network interconnections," has garnered 32 citations and established key principles for understanding consensus and synchronization in complex networks. More recently, Como has pioneered resilience in distributed optimization, notably through his 2022 paper on "Competition-Based Resilience in Distributed Quadratic Optimization," which introduces a novel framework to protect networked control systems—such as wireless sensor networks, power grids, and robotic teams—against misbehaving agents caused by hacking or power outages. This work departs from classical filtering methods, offering a robust, competition-driven approach that maintains system performance even under adversarial conditions. Como’s research bridges theoretical rigor with practical challenges in modern infrastructure, making him a vital contributor to the fields of network science, control theory, and cyber-physical systems. His work continues to inspire students and researchers tackling the pressing issues of security and reliability in interconnected systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Competition-Based Resilience in Distributed Quadratic Optimization5 citations · 2022