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About

Ryan Shah is a researcher at the forefront of cybersecurity and privacy in robotics, with a particular focus on the critical intersection of safety, security, and privacy in connected and surgical robotic systems. His work fundamentally challenges the traditional separation of safety and security, arguing that in high-assurance environments like surgery, security is a necessary safety requirement. Shah’s research has pioneered new access control models for robot calibration and has explored the unique privacy challenges posed by surgical robots, suggesting that conventional patient consent protocols are inadequate when machines assume the roles of human surgeons. His most-cited paper, "Can You Still See Me?: Identifying Robot Operations Over End-to-End Encrypted Channels," demonstrates a significant contribution by revealing how passive adversaries can fingerprint and reconstruct entire industrial workflows, even when communications are encrypted. With a growing body of work that has garnered citations from the security and robotics communities, Shah is establishing himself as a leading voice on the privacy and security implications of our increasingly automated world.