Johannes Jakubik, M.Sc.
- Applied AI in Services Lab
4B-05
CS 05.20
+49 721 608-45873
johannes jakubik ∂does-not-exist.kit edu
Website: https://jhnnsjkbk.github.io
Activities
Johannes is a Ph.D. student at the Applied AI in Services Lab within the Institute of Information Systems and Marketing (IISM) and the Karlsruhe Service Research Institute (KSRI). His interests include:
- Applied deep learning
- Foundation models
- Uncertainty quantification
- Data-centric AI
- Human-centered artificial intelligence
Please feel free to reach out if you are interested in writing a bachelor's or master's thesis on one of these topics.
Curriculum Vitae
Johannes graduated from KIT with a bachelor’s and a master’s degree with a focus on machine learning, statistics, and optimization. During his master’s degree, he studied Information Systems and Computer Engineering at the Instituto Superior Técnico in Lisbon, Portugal. He authored his thesis at ETH Zurich at the Chair of Management Information Systems. Throughout his master's studies, Johannes worked on real-world machine learning implementations (e.g., computer vision, speech recognition, named entity recognition) during internships at Porsche Motorsport, d-fine, and EnBW AG. At the beginning of his Ph.D. program, he worked as an Affiliated Research Member at ETH Zurich, where he researched emotion dynamics on social media. In October 2022, Johannes joined IBM Research as a Visiting Researcher and since then has been working on geospatial foundation models and the segmentation of natural hazards on satellite images. Johannes is part of a research collaboration between IBM Research and NASA, where he is responsible for fine-tuning geospatial foundation models to downstream applications.
Publications
Jakubik, J.; Schöffer, J.; Hoge, V.; Vössing, M.; Kühl, N.
2023. Machine Learning and Principles and Practice of Knowledge Discovery in Databases – International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I. Ed.: I. Koprinska, 353–368, Springer Nature Switzerland AG. doi:10.1007/978-3-031-23618-1_24
Schoeffer, J.; Jakubik, J.; Voessing, M.; Kuehl, N.; Satzger, G.
2023. HHAI 2023: Augmenting Human Intellect – Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence. Ed.: P. Lukowicz, IOS Press. doi:10.3233/FAIA230074
Jakubik, J.; Weber, D.; Hemmer, P.; Vössing, M.; Satzger, G.
2023. Proceedings of the International Conference on Wirtschaftsinformatik, 18th - 21st Sept 2023, Paderborn
Hemmer, P.; Thede, L.; Vössing, M.; Jakubik, J.; Kühl, N.
2023. Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, February 7-14, 2023
Jakubik, J.; Muszynski, M.; Vössing, M.; Kühl, N.; Brunschwiler, T.
2023
Jakubik, J.; Vössing, M.; Bär, D.; Pröllochs, N.; Feuerriegel, S.
2023. doi:10.48550/arXiv.2204.04245
Jakubik, J.; Nazemi, A.; Geyer-Schulz, A.; Fabozzi, F. J.
2022. Quantitative Finance, 23 (2), 335–349. doi:10.1080/14697688.2022.2130085
Jakubik, J.; Feuerriegel, S.
2022. Production and Operations Management, 31 (6), 2739–2756. doi:10.1111/poms.13714
Hemmer, P.; Schellhammer, S.; Vössing, M.; Jakubik, J.; Satzger, G.
2022. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2478–2484, International Joint Conferences on Artificial Intelligence Organization (IJCAI). doi:10.24963/ijcai.2022/344
Jakubik, J.; Schöffer, J.; Hoge, V.; Vössing, M.; Kühl, N.
2022. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Jakubik, J.; Blumenstiel, B.; Vössing, M.; Hemmer, P.
2022. Wirtschaftsinformatik 2022 : Proceedings. Bd.: 6, AIS eLibrary (AISeL)
Jakubik, J.; Hemmer, P.; Vössing, M.; Blumenstiel, B.; Bartos, A.; Mohr, K.
2022. Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022-01.03.2022, 12524–12530, Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v36i11.21522
Jakubik, J.; Binding, A.; Feuerriegel, S.
2021. European journal of operational research, 295 (1), 157–169. doi:10.1016/j.ejor.2021.02.053
Jakubik, J.; Binding, A.; Feuerriegel, S.
2021
Nazemi, A.; Jakubik, J.; Geyer-Schulz, A.; Fabozzi, F. J.
2020
Kuhnle, A.; Jakubik, J.; Lanza, G.
2019. Production Engineering, 13 (1), 33–41. doi:10.1007/s11740-018-0855-7