Clemens Dubslaff

TU Dresden, Eindhoven University of Technology

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About

Clemens Dubslaff is a leading researcher in formal methods and software engineering, with a focus on feature-oriented modelling, self-adaptive systems, and explainable AI. His work bridges the gap between theoretical verification and practical autonomy, particularly in safety-critical domains like marine robotics. Dubslaff’s most cited paper, “Feature-Oriented Modelling and Analysis of a Self-Adaptive Robotic System” (2025, 3 citations), introduces a novel framework for designing autonomous robots that can handle environmental and internal uncertainties—a key challenge for underwater exploration. He further advances the field with “Template Decision Diagrams for Meta Control and Explainability” (2024, 2 citations), which provides a formal method for making adaptive systems more transparent and controllable. Though early in its impact trajectory, Dubslaff’s research is already shaping how engineers build reliable, self-optimizing robots. His contributions are particularly notable for combining rigorous mathematical modelling with real-world applicability, offering students and researchers a clear path from theory to deployment in high-stakes environments.