M.Sc. Jakob Bach
- PhD student
- Room: 363
- Phone: +49 721 608-43911
- Fax: +49 721 608-47343
- jakob bach ∂ kit edu
General Information
I'm a PhD student in the field of data science. In particular, my PhD-related research is about feature selection with constraints. Leveraging constraints, one may select features not only based on their predictive quality but also consider aspects like domain knowledge or interpretability. Thus, constraints can make feature selection more user-centric.
Additionally, I had and have several collaborations with other researchers from data science and application domains like materials science, process verification, and SAT solving. Many of my teaching and research activities correspond to a GitHub project that contains the code and sometimes further materials.
My publication and the corresponding experimental data are listed in the following. The article "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality", which resulted from my master's thesis, has a dedicated website.
Publications
Bach, J.; Böhm, K.
2024. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00527-8
Fuchs, T.; Bach, J.; Iser, M.
2023. Tools and Algorithms for the Construction and Analysis of Systems. Ed.: S. Sankaranarayanan. Pt. 1, 407–425, Springer Nature Switzerland. doi:10.1007/978-3-031-30823-9_21
Bach, J.
2022, October 6. AI Hub @ Karlsruhe (2022), Karlsruhe, Germany, October 5–7, 2022
Bach, J.; Zoller, K.; Trittenbach, H.; Schulz, K.; Böhm, K.
2022. SN Computer Science, 3 (6), Art.-Nr.: 445. doi:10.1007/s42979-022-01338-z
Bach, J.
2022, August 2. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022), Haifa, Israel, August 2–5, 2022
Bach, J.; Iser, M.; Böhm, K.
2022. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022). Hrsg.: Kuldeep S. Meel, 2:1–2:18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.SAT.2022.2
Bach, J.; Zoller, K.; Schulz, K.
2022, July 26. doi:10.5445/IR/1000148891
Bach, J.; Iser, M.
2022, May 30. doi:10.5445/IR/1000146629
Ordoni, E.; Bach, J.; Fleck, A.-K.
2022, February 14. doi:10.5445/IR/1000142949
Ordoni, E.; Bach, J.; Fleck, A.
2022. IEEE Access, 10, 31699–31713. doi:10.1109/ACCESS.2022.3154445
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. Modelling and simulation in materials science and engineering, 28 (6), Art. Nr.: 065001. doi:10.1088/1361-651X/ab97ef
Trittenbach, H.; Bach, J.; Böhm, K.
2019. Information technology, 61 (2-3), 111–123. doi:10.1515/itit-2019-0014
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 399–401, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212038
Teaching
I taught the exercises of "Data Science 1" (old name: "Big Data Analytics") three times and the practical course "Data Science Laboratory Course" (old name: "Analyzing Big Data Laboratory Course") five times. I fundamentally re-designed the exercises of "Data Science 1" when acquiring the "Baden-Württemberg Certificate for Teaching and Learning at University Level". Further, I supervised one project each for the courses "Software Engineering in Practice" ("Praxis der Softwareentwicklung"; project topic: "CS:Select - A Game for Feature Selection in Machine Learning") and "Research Project" ("Praxis der Forschung"; project topic: "Automating SAT Solver Research"). Finally, I supervised three seminar ~, seven bachelor's ~, and three master's theses.
Title | Type | Semester |
---|---|---|
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2018 |
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2019 |
Recent Research Topics in Workflow Analysis, Privacy and Machine Learning | Seminar (S) | SS 2019 |
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2020 |
Data Science Laboratory Course | Practical course (P) | SS 2021 |
Data Science Laboratory Course | Practical course (P) | SS 2022 |
Praxis der Forschung (Projekt, 2. Semester) | Projektgruppe (Pg) | SS 2022 |
Data Science Laboratory Course | Practical course (P) | SS 2023 |
Praxis der Softwareentwicklung (PSE) | Vorlesung (V) | WS 18/19 |
Big Data Analytics | Lecture | WS 19/20 |
Recent Research Topics in Data Analysis, Privacy and Machine Learning | Seminar (S) | WS 19/20 |
Big Data Analytics | Lecture | WS 20/21 |
Data Science 1 | Lecture | WS 21/22 |
Praxis der Forschung (Projekt, 1. Semester) | Projektgruppe (Pg) | WS 21/22 |