Swantje Plambeck, M. Sc.

Research Interests

Cyber-Physical Systems, Model Learning, Decision Trees, Black-Box Testing, Automata Learning, Hybrid Systems

Position

Research Assistant and PhD Candidate

Contact Details

Swantje Plambeck

Tel.: +49 (0) 40 42878-3867
Fax: +49 (0) 40 42878-2798
Mail: swantje.plambeck(at)tuhh(dot)de

Building E, Room 3.013
Directions

Consulting Hours

On appointment

Publications

2024

  • Maximilian Schmidt and Swantje Plambeck and Görschwin Fey (2024). Towards Robustness Evaluation of Models for Cyber-Physical Systems. ITG/GI/GMM-Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV)

  • Swantje Plambeck and Aaron Bracht and Nemanja Hranisavljevic and Goerschwin Fey (2024). FaMoS - Fast Model Learning for Hybrid Cyber-Physical Systems using Decision Trees. ACM International Conference on Hybrid Systems: Computation and Control (HSCC)

  • Arne Krumnow and Swantje Plambeck and Goerschwin Fey (2024). Using Forest Structures for Passive Automata Learning. In Oliver Niggemann et al. (editors) (Eds.) Springer International Publishing:

2023

  • Markus Knitt and Swantje Plambeck and Jan Christian Wieck and Julian Kohlisch and Stephan Balduin and Eric MSP Veith and Jakob Schyga and Johannes Hinckeldeyn and Gorschwin Fey and Jochen Kreutzfeldt (2023). Towards the Automatic Generation of Models for Prediction, Monitoring, and Testing of Cyber-Physical Systems. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

2022

  • Swantje Plambeck and Lutz Schammer and Goerschwin Fey (2022). On the Viability of Decision Trees for Learning Models of Systems. ASP Design Automation Conference (ASPDAC)

  • Jakob Schyga and Swantje Plambeck and Johannes Hinckeldeyn and Goerschwin Fey and Jochen Kreutzfeldt (2022). Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems. Indoor Positioning and Indoor Navigation (IPIN)

  • Swantje Plambeck and Görschwin Fey and Jakob Schyga and Johannes Hinckeldeyn and Jochen Kreutzfeldt (2022). Explaining Cyber-Physical Systems Using Decision Trees. Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)

2021

  • Swantje Plambeck and Gianluca Martino and Goerschwin Fey (2021). Metrics for the Evaluation of Approximate Sequential Streaming Circuits. EUROMICRO Symposium on Digital System Design (DSD)

  • Swantje Plambeck and Lutz Schammer and Goerschwin Fey (2021). Extended Abstract: Viability of Decision Trees for Learning Models of Systems. ITG/GI/GMM-Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV)

  • Swantje Plambeck and Jakob Schyga and Johannes Hinckeldeyn and Jochen Kreutzfeldt and Goerschwin Fey (2021). Automata Learning for Automated Test Generation of Real Time Localization Systems. Workshop on Machine Learning in Control (Learning in Control, LEAC)

  • Lutz Schammer and Swantje Plambeck and Fin Hendrik Bahnsen and Goerschwin Fey (2021). Learning Models of Cyber-Physical Systems using Automata Learning. Software Engineering for Industrial Cyber-Physical Systems (SE4ICPS)

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