Sanaz Sheikhi

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About

Sanaz Sheikhi is a researcher advancing the safety and reliability of autonomous cyber-physical systems (CPS), with a focus on runtime assurance architectures. Her most-cited work, "The Black-Box Simplex Architecture for Runtime Assurance of Autonomous CPS" (2022, 11 citations), introduces a novel framework that enables complex autonomous systems—such as self-driving vehicles or drones—to operate safely even when their decision-making algorithms are opaque or unverifiable. By decoupling high-performance but untrusted controllers from a verified safety supervisor, her architecture provides a practical path to certifying autonomous behavior without requiring full system transparency. Sheikhi extended this concept to multi-agent CPS in her 2024 follow-up (3 citations), addressing the additional challenges of coordination and conflict resolution among multiple autonomous entities. Her contributions are particularly impactful in the growing field of safety-critical AI, where ensuring runtime correctness is paramount. Through her simplex-based approach, Sheikhi offers a scalable, modular solution that bridges the gap between advanced autonomy and formal safety guarantees, making her work essential reading for researchers tackling verification and validation in next-generation autonomous systems.