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About

Foutse Khomh is a prominent software engineering researcher whose work spans the Internet of Things (IoT), cyber-physical systems, and the testing of safety-critical autonomous systems. His early contributions to IoT research addressed foundational challenges in the field, including a widely cited 2018 investigation into fragmentation as a threat to IoT success, which has garnered 55 citations and remains a touchstone reference for researchers navigating IoT's scalability and interoperability challenges. More recently, Khomh has turned his attention to the rigorous testing of autonomous systems, including self-driving cars, drones, and robotic manipulators. His development of AmbieGen — a search-based framework for autonomous systems testing — reflects a commitment to making safety-critical software more reliable before real-world deployment. Building on this, his 2024 work integrating reinforcement learning with evolutionary search techniques pushes the boundary of computationally efficient test generation, addressing one of the field's most persistent bottlenecks. Across his portfolio, Khomh consistently bridges theoretical innovation with practical engineering concerns, making his research valuable to both academic audiences and industry practitioners. His growing citation record and diverse contributions position him as an influential voice in the evolving landscape of intelligent and autonomous systems engineering.