Kostas Margellos

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About

Kostas Margellos is a leading researcher in the control and safety of networked multi-agent systems, with a focus on distributed decision-making under uncertainty. His major contributions lie at the intersection of safe control design and probabilistic safety verification, where he has developed novel frameworks to ensure that complex autonomous systems—such as robotic swarms or connected vehicles—operate reliably even when agents lack global information. Central to his work is the application of Control Barrier Functions (CBFs), which he has extended to distributed settings through iterative algorithms that solve safety-critical quadratic programming problems without requiring a central coordinator. His most-cited papers, including "Distributed safe control design and probabilistic safety verification for multi-agent systems" (5 citations) and its companion works, establish rigorous methods for both guaranteeing safety and quantifying the probability of constraint violations in real-time operations. By enabling scalable, provably safe coordination, Margellos’s research is foundational for next-generation autonomous systems, offering practical tools for engineers and theorists alike. His work continues to shape how safety is formalized and enforced in distributed, uncertain environments.