Niklas Ueter

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About

Niklas Ueter is a leading researcher in real-time systems, with a focus on the timing analysis and scheduling of complex, safety-critical cyber-physical systems. His work is pivotal in domains like autonomous driving and robotics, where predictable performance is non-negotiable. Ueter’s major contributions include pioneering end-to-end timing analysis for the ROS2 middleware (2022, 47 citations), a foundational step for guaranteeing safe behavior in modern autonomous vehicle platforms. He has also advanced the field with probabilistic reaction time analysis (2023), providing rigorous methods to bound delays in chains of communicating tasks. Most recently, his work on DAG scheduling with execution groups (2024) addresses the challenge of scheduling parallel workloads on multi-core platforms under hard real-time constraints. Through these contributions, Ueter provides the theoretical and practical tools necessary to ensure that increasingly complex, interconnected systems—from robots to autonomous cars—operate with guaranteed safety and predictability, making him a key figure in the evolution of real-time embedded systems.