Institute
Daphne Theodorakopoulos

Daphne Theodorakopoulos, M.Sc.

Daphne Theodorakopoulos, M.Sc.
Address
Welfengarten 1
30167 Hannover
Building
Room
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 am also a researcher at the DFKI Marine Perception in Oldenburg. Our focus is AI for marine perception but also other environmental and sustainability topics. I aim to find a good intersection between the two departments by using Green AutoML to tackle environmental problems. 

Research Interests

  • Green AutoML
  • AI for Sustainability

Curriculum Vitae

  • Working Experience

    since 2022
    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

    2022 - 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 - 3 out of 3

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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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. 2023 Jun 13. Epub 2023 Jun 13. doi: 10.48550/arXiv.2306.08107
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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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