Thomas Leich

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About

Thomas Leich is a leading researcher at the intersection of software engineering, artificial intelligence, and cyber-physical systems. His work primarily explores the challenges of building safe, reliable, and adaptable smart systems, from autonomous vehicles to smart grids. Leich is perhaps best known for his foundational contributions to variability management and software product lines, as articulated in his highly cited work "Beyond Software Product Lines" (2017, 35 citations), which expanded the paradigm to address the complexity of modern, interconnected systems. More recently, Leich has tackled the pressing safety and security risks of AI-driven automation. His 2024 "SoK: How Artificial-Intelligence Incidents Can Jeopardize Safety and Security" (5 citations) provides a critical taxonomy of real-world AI failures, offering a roadmap for building more robust and trustworthy autonomous systems. By bridging the gap between traditional software engineering and emergent AI risks, Leich’s research provides essential frameworks for engineers and policymakers navigating the future of intelligent, safety-critical technology.