Georgios T. Stathopoulos

École Polytechnique Fédérale de Lausanne

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About

Georgios T. Stathopoulos is a leading figure in the intersection of optimization and automatic control, with a particular focus on embedded systems. His work addresses the critical challenge of deploying computationally intensive optimization algorithms directly onto resource-constrained hardware, enabling real-time decision-making in industrial environments. His most-cited paper, “Embedded Optimization Methods for Industrial Automatic Control” (2017, 62 citations), provides a comprehensive survey of this rapidly evolving field, tracing the trajectory from late-1970s petrochemical applications to modern embedded deployments. Stathopoulos’s contributions are pivotal in bridging the gap between theoretical optimization and practical, on-chip control, impacting sectors ranging from automotive to process industries. His research has helped democratize advanced control strategies, making them accessible for low-power, high-speed applications. With a growing citation footprint, Stathopoulos is recognized for his clarity in synthesizing complex methodologies and for pushing the boundaries of what is computationally feasible in industrial automation. His work continues to inspire engineers and researchers seeking to embed intelligence directly into the machines and systems that drive modern industry.