Hussein Sibai

University of Illinois Urbana-Champaign, Washington University in St. Louis

Papers

Total Citations

H-Index

About

Hussein Sibai is a researcher focused on the safe integration of autonomous systems into human environments, with key contributions in multi-agent control, formal methods, and human-robot interaction. His most cited work, "Online Monitoring for Safe Pedestrian-Vehicle Interactions" (2020, 21 citations), addresses the critical challenge of ensuring safety when autonomous vehicles navigate pedestrian zones. By developing online monitoring techniques, Sibai enables real-time verification of safe behavior, allowing small autonomous vehicles to maneuver freely around people without compromising safety. This work lays the foundation for trustworthy human-robot coexistence. In his more recent research, "Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions" (2025), Sibai tackles the complexity of multi-robot systems operating under uncertainty. He introduces a novel framework that combines conformal decision theory with control barrier functions, enabling agents to safely interact even when relying on imperfect predictions of others' trajectories. This approach adapts safety constraints in real-time, offering a principled solution for scalable, decentralized coordination. Sibai’s work is essential for students and researchers seeking to build autonomous systems that are not only intelligent but also provably safe in dynamic, human-centric settings.