Swantje Plambeck

Papers

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About

Swantje Plambeck is a researcher focused on the intersection of cyber-physical systems, indoor localization, and hybrid system identification. Her work addresses the critical challenge of understanding and improving the accuracy of Indoor Localization Systems (ILS), which are complex systems whose performance is influenced by environmental, configurational, and process-related factors. In her 2022 paper, "Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems," she pioneered the use of decision tree analysis to systematically disentangle these influences, providing a novel framework for optimizing ILS accuracy. This work has garnered 3 citations, establishing a foundation for more reliable indoor positioning technologies. More recently, Plambeck has advanced the field of system identification with her 2024 paper, "Dynamics-Based Identification of Hybrid Systems using Symbolic Regression," which applies symbolic regression to model hybrid systems—those combining continuous and discrete behaviors, common in robotics and control. This contribution, with 2 citations, opens new pathways for understanding complex, real-world systems. Her research is notable for bridging theoretical modeling with practical, data-driven approaches, making her a rising voice in cyber-physical systems engineering.