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About

Ryan Heartfield is a leading researcher at the intersection of cyber-physical systems security, the Internet of Things (IoT), and edge computing. His work is fundamentally reshaping how we protect critical infrastructure and autonomous systems from sophisticated cyber attacks. Heartfield’s most influential contribution is his pioneering work on cloud-based intrusion detection for vehicles, where he demonstrated that computationally intensive deep learning models could be effectively offloaded from resource-constrained vehicle hardware to the cloud. His seminal 2017 paper on this topic has garnered over 270 citations, establishing a foundational approach for securing next-generation connected and autonomous vehicles. Building on this, Heartfield has extended his expertise to industrial settings, developing context-aware anomaly detection systems like CASPER for industrial robotic arms. His recent work pushes the boundaries of real-time security by leveraging edge computing to perform complex machine learning tasks directly on industrial IoT devices, moving beyond traditional built-in sensor reliance. Through his innovative fusion of deep learning, cloud/edge architectures, and cyber-physical security, Heartfield is enabling a new generation of resilient, intelligent, and secure autonomous systems.