Daphne Theodorakopoulos, M.Sc.

Porträt von Daphne Theodorakopoulos, Doktorandin, mit langen dunkelbraunen Haaren, in einer weißen Bluse, lächelnd vor einem grauen Hintergrund. Porträt von Daphne Theodorakopoulos, Doktorandin, mit langen dunkelbraunen Haaren, in einer weißen Bluse, lächelnd vor einem grauen Hintergrund.
Daphne Theodorakopoulos, M.Sc.
Address
Welfengarten 1
30167 Hannover
Building
Room
Porträt von Daphne Theodorakopoulos, Doktorandin, mit langen dunkelbraunen Haaren, in einer weißen Bluse, lächelnd vor einem grauen Hintergrund. Porträt von Daphne Theodorakopoulos, Doktorandin, mit langen dunkelbraunen Haaren, in einer weißen Bluse, lächelnd vor einem grauen Hintergrund.
Daphne Theodorakopoulos, M.Sc.
Address
Welfengarten 1
30167 Hannover
Building
Room

I am a PhD candidate at the AutoML Group. My research topic here is Green AutoML. I aim to make AutoML more sustainable. 

Research Interests

  • Green AutoML
  • AI for Sustainability

Curriculum Vitae

  • Working Experience

    2025 - present
    Doctoral Researcher
    , Leibniz University of Hannover

    2022 - 2024
    Researcher
    , DFKI Marine Perception

    2020 - 2022
    Teaching Assistant
    , University of Twente (NL)

    2019
    Internship
    Big Data & Advanced Analytics, Daimler AG

    2016 - 2018
    Teaching Assistant
    , University of Hamburg

  • Education

    2023 - Present
    PhD Student, Leibniz University Hannover

    2019-2022
    Master of Science, Interaction Technology, University of Twente (NL)

    2015-2019
    Bachelor of Science, Wirtschaftsinformatik, University of Hamburg

Publications

Showing results 1 - 4 out of 4

Theodorakopoulos D, Stahl F, Lindauer M. Hyperparameter Importance Analysis for Multi-Objective AutoML. In Endriss U, Melo FS, Bach K, Bugarin-Diz A, Alonso-Moral JM, Barro S, Heintz F, editors, Proceedings of the european conference on AI (ECAI). 2024. p. 1100-1107. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA240602, 10.48550/arXiv.2405.07640
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Tornede A, Deng D, Eimer T, Giovanelli J, Mohan A, Ruhkopf T et al. AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Transactions on Machine Learning Research. 2024 Feb 9. Epub 2024 Feb 9. doi: 10.48550/arXiv.2306.08107
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Theodorakopoulos D, Manß C, Stahl F, Lindauer M. Green-AutoML for Plastic Litter Detection. In Proceedings of the ICLR Workshop on Tackling Climate Change with Machine Learning. 2023
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Tavanapour N, Theodorakopoulos D, Bittner EAC. A conversational agent as facilitator: Guiding groups through collaboration processes. In Zaphiris P, Ioannou A, editors, Learning and Collaboration Technologies. : Human and Technology Ecosystems - 7th International Conference, LCT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer. 2020. p. 108-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-50506-6_9
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