Daphne Theodorakopoulos, M.Sc.
Daphne Theodorakopoulos, M.Sc.
Telefon
Adresse
Welfengarten 1
30167 Hannover
30167 Hannover
Gebäude
Raum
Daphne Theodorakopoulos, M.Sc.
Telefon
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 Hannover2022 - 2024
Researcher, DFKI Marine Perception2020 - 2022
Teaching Assistant, University of Twente (NL)2019
Internship Big Data & Advanced Analytics, Daimler AG2016 - 2018
Teaching Assistant, University of Hamburg -
Education
2023 - Present
PhD Student, Leibniz University Hannover2019-2022
Master of Science, Interaction Technology, University of Twente (NL)2015-2019
Bachelor of Science, Wirtschaftsinformatik, University of Hamburg
Publications
First
1
2025
Theodorakopoulos D, Eberling E, Bodenheimer M, Loos S, Stahl F. FITS: Towards an AI-Driven Fashion Information Tool for Sustainability. in Lynce I, Murano N, Vallati M, Villata S, Chesani F, Milano M, Omicini A, Dastani M, Hrsg., Frontiers in Artificial Intelligence and Applications: Proceedings of the Eruopean Conference of AI (ECAI) 2025. Band 413. IOS Press. 2025. S. 1205 - 1212. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA250933
2024
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, Hrsg., Proceedings of the european conference on AI (ECAI). 2024. S. 1100-1107. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA240602, 10.48550/arXiv.2405.07640
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
2023
Ossenbeck M, Theodorakopoulos D, Schneemann J, Ferdinand O, Ribas-Ribas M. Detecting Sea Surface Slicks using Automated Machine Learning. in OCEANS 2023 - Limerick. 2023 doi: 10.1109/oceanslimerick52467.2023.10244633
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
2020
Geissler D, Nguyen E, Theodorakopoulos D, Gatti L. Pokérator - Unveil your inner Pokémon. in Proceedings of the Eleventh International Conference on Computational Creativity. 2020. S. 500-503
Nguyen E, Theodorakopoulos D, Pathak S, Geerdink J, Vijlbrief O, Van Keulen M et al. A hybrid text classification and language generation model for automated summarization of dutch breast cancer radiology reports. in Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020. 2020. S. 72-81. 9319371 doi: 10.1109/CogMI50398.2020.00019
Tavanapour N, Theodorakopoulos D, Bittner EAC. A conversational agent as facilitator: Guiding groups through collaboration processes. in Zaphiris P, Ioannou A, Hrsg., 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. S. 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
