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About

Jonathan Aldrich is a leading researcher in software engineering, with a focus on building robust, adaptive, and long-lasting systems. His work spans key areas including model-based adaptation, cyber-physical systems (CPS), and software architecture. Aldrich’s major contribution is the development of model-based adaptation, an approach that uses formal models of software and its environment to enable automated system reconfiguration. This work, detailed in his most-cited paper "Model-Based Adaptation for Robotics Software" (2019, 25 citations), aims to create software that can autonomously respond to environmental changes, enhancing longevity and reliability. He also addresses critical timing challenges in CPS through his "Plan B" design methodology (2022, 5 citations), which ensures safety in distributed systems with strict timing constraints by tolerating failures in software and hardware. Aldrich’s impact is evident in his foundational contributions to adaptive systems and CPS robustness, influencing both academic research and practical engineering. His notable achievements include advancing techniques for building dependable software that can withstand real-world uncertainties, making his work essential for researchers and students interested in resilient, self-adaptive systems.