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Prof. Dr. Dietlind Zühlke

Dr. rer. nat. Dipl.-Inform.
Faculty of Computer Science and Engineering Science

Prof. Dr. Dietlind Zühlke

Technische Hochschule Köln
Steinmüllerallee 6
51643 Gummersbach
Room 1.504 Mailing address


  • Phone: +49 2261-8196-6236

Positions

  • Deputy equal opportunities representative
  • Time tabling (computer science)

Teaching disciplines

  • Data Driven Modeling (Master Digital Sciences, Master Media Informatics) Machine Learning DDM (Master Digital Sciences)
  • Advanced Mathematical Areas (Master Digital Sciences, Master Media Informatics) Optimization and statistical testing
  • Process Mining (Master Digital Sciences, Master Media Informatics) PM (Master Digital Sciences)
  • Math 1 & 2 (Bachelor Computer Science) All specialisations
  • Artificial Intelligence (BA computer science) Artificial Neural Networks
  • Data Mining (applied) (BA computer science)

Research fields

  • Interactive Machine Learning
  • Knowledge Representation
  • RAG technologies for generative artificial Intelligence
  • August Rüggeberg (Pferd Tools)
    Shared PhD students, theses in the area of interactive machine learning, knowledge-based chatbots, generative AI, data-driven company
    Pferd Tools
  • HF Mixing Group
    Mathematical modeling of rubber mixing
    HF Group
  • Lüpschen, Alexander; Lohr, Sebastian; Zühlke, Dietlind; Freiburg, Michael; Jenau, Frank (2024): Vor-Ort Diagnose von Mittelspannungskabeln – Felderfahrungen und Potenziale moderner Informationssysteme. In: VDE Hochspannungstechnik 2024: 5. ETG-Fachtagung, 11.-13. November 2024 in Berlin. 5. ETG-Fachtagung; Berlin; 11.-13. November 2024., S. 344 - 349.https://bibliografie.th-koeln.de/servlets/DozBibEntryServlet?mode=show&id=bibthk_mods_00013878
  • Lüpschen, Alexander; Rehbach, Nicolas; Farooqui, Munam; Zühlke, Dietlind; Freiburg, Michael; Jenau, Frank (2024): Medium Voltage Energy Cable Diagnostics – Service Provider Experiences and Diagnostic Information System. In: 2024 59th International Universities Power Engineering Conference (UPEC). 59th International Universities Power Engineering Conference (UPEC); Cardiff, UK; 02.09.-06.09.2024., S. 1 - 6.https://doi.org/10.1109/UPEC61344.2024https://doi.org/10.1109/UPEC61344.2024.10892456
  • Nowak, Isa; Zühlke, Dietlind; Nikzad Khasmakhi, Narjes; Kring, David; Grüb-Okkan, Tanja; Steinborn, Juliane; Zorn, Isabel (2024): Variants of Knowledge-based Chatbots in Family Caregiving : Human Evaluation and Comparison. In: Gerontechnology. Vol. 23. (Open Access)https://doi.org/10.4017/GT.2024.23.S.1080.OPP
  • Nikzad Khasmakhi, Narjes; Asgari-Chenaghlu, Meysam; Asghar, Nabiha; Schaer, Philipp; Zühlke, Dietlind (2023): ConvGenVisMo: Evaluation of Conversational Generative Vision Models. In: De.arXiv.org. AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML), 2023.. (Open Access)https://doi.org/10.48550/arXiv.2305.17784
  • Pritzen, Julia; Gref, Michael; Zühlke, Dietlind; Schmidt, Christoph (2022): Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. In: 2022 Language Resources and Evaluation Conference, LREC 2022. 13th International Conference on Language Resources and Evaluation Conference, LREC 2022; Marseille, France; 20.06.-25.05.2022., S. 3242 - 3249.https://bibliografie.th-koeln.de/servlets/DozBibEntryServlet?mode=show&id=bibthk_mods_00009727
  • Zühlke, Dietlind (2022): Lehrportfolio in der Mathematik. In: Riegler, Peter; Maas, Christoph (Hrsg.): Scholarship of Teaching and Learning in der Mathematik : Mathematik-Lehre forschend betrachten. Berlin: DUZ Verlags- und Medienhaus GmbH, S. 109 - 122. (Open Access)
  • Groß, Matthias; Zühlke, Dietlind; Naujoks, Boris (2022): Automating Speedrun Routing : Overview and Vision. In: Applications of Evolutionary Computation : 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022; Madrid, Spain; 20.04.-22.04.2022., S. 471 - 486. (peer-reviewed)https://doi.org/10.1007/978-3-031-02462-7https://doi.org/10.1007/978-3-031-02462-7_30
  • Zapp, Matthias; Zühlke, Dietlind (2021): Datengetriebene Prozessbewertung und -optimierung in der Logistik. (Open Access)https://bibliografie.th-koeln.de/servlets/DozBibEntryServlet?mode=show&id=bibthk_mods_00007270
  • Pritzen, Julia; Gref, Michael; Schmidt, Christoph; Zühlke, Dietlind (2021): A Comparative Pronunciation Mapping Approach using G2P Conversion for Anglicisms in German Speech Recognition. 14th ITG Conference on Speech Communication. Berlin: VDE Verlag (ITG-Fachberichte), S. 24 - 28.
  • Zapp, Matthias; Zühlke, Dietlind (2020): Geschäftsprozessoptimierung für datenintensive Prozesse. In: Digital Xchange 2020; Bergisches Rheinland, Germany; 06.06.2020.https://bibliografie.th-koeln.de/servlets/DozBibEntryServlet?mode=show&id=bibthk_mods_00005448

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