Jens Dörpinghaus

Jens Dörpinghaus is postdoctoral researcher at Department 1, VET Research and Monitoring and Employment at the Federal Institute for Vocational Education and Training (BIBB), Germany. He is also lecturer at Linnaeus University, Växjö, and docent for Computer Science (Privatdozent) at the University of Koblenz.

Teaching

25HT - 1DV516 - Algorithms and Advanced Data Structures - 7,5 hp
24HT - 1DV516 - Algorithms and Advanced Data Structures - 7,5 hp

Research

My research interests are very broad and range from AI for CSS and data science for CSS to complex networks. Please find more details here.

Publications

Article in journal (Refereed)

Dörpinghaus, J. (2025). The Portrayal of a Mediator : The Social Network of Peter in Luke–Acts. European Journal of Sport Studies (EJSS). 34 (2). 225-248.
Status: Published
Dörpinghaus, J., Weil, V., Sommer, M.W. (2024). Towards modeling and analysis of longitudinal social networks. Applied Network Science. 9 (1).
Status: Published
Fechner, R., Dörpinghaus, J., Rockenfeller, R., Faber, J. (2024). Ensemble of HMMs for Sequence Prediction on Multivariate Biomedical Data. BioMedInformatics. 4 (3). 1672-1691.
Status: Published
Fischer, A., Dörpinghaus, J. (2024). Web Mining of Online Resources for German Labor Market Research and Education : Finding the Ground Truth?. Knowledge. 4 (1). 51-67.
Status: Published
Reiser, T., Dörpinghaus, J., Steiner, P., Tiemann, M. (2024). Towards a Datatset of Digitalized Historical German VET and CVET Regulations. Data. 9 (11).
Status: Published
Dörpinghaus, J. (2024). Automated annotation of parallel bible corpora with cross-lingual semantic concordance. Natural Language Engineering. 30 (6). 1277-1300.
Status: Published
Dörpinghaus, J., Binnewitt, J., Samray, D., Hein, K. (2024). Understanding Informatics in Continuing Vocational Education and Training Data in Germany. ACM Transactions on Computing Education. 24 (3).
Status: Published
Dörpinghaus, J., Samray, D., Helmrich, R. (2023). Challenges of Automated Identification of Access to Education and Training in Germany. Information. 14 (10).
Status: Published
Dörpinghaus, J., Binnewitt, J., Winnige, S., Hein, K., Krüger, K. (2023). Towards a German labor market ontology : Challenges and applications. Applied Ontology. 18 (4). 343-365.
Status: Published
Dörpinghaus, J. (2023). Digital and Network-Based Methods for Narrative Criticism. Svensk Exegetisk Årsbok. 88 (1).
Status: Published
Dörpinghaus, J., Stefan, A., Schultz, B., Jacobs, M. (2022). Context mining and graph queries on giant biomedical knowledge graphs. Knowledge and Information Systems. 64 (5). 1239-1262.
Status: Published
Dörpinghaus, J., Klante, S., Christian, M., Meigen, C., Düing, C. (2022). From social networks to knowledge graphs : A plea for interdisciplinary approaches. Social Sciences & Humanities Open. 6 (1).
Status: Published

Conference paper (Refereed)

Gassner, M.K., Tiemann, M., Dörpinghaus, J. (2025). An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach. INFORMATIK 2025 : The Wide Open. Offenheit von Source bis Science.
Hein, K., Tiemann, M., Dörpinghaus, J. (2025). Talking about tasks or just sharing job offers? : A case study on job-related tweets. INFORMATIK 2025 : The Wide Open. Offenheit von Source bis Science. 1041-1054.
Reiser, T., Dörpinghaus, J., Steiner, P., Tiemann, M. (2025). Linking Vocational Archive Data Using an Occupations and Educations Centric Ontology. Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning. 6-15.
Dorau, R., Hein, K., Dörpinghaus, J., Tiemann, M. (2025). Automated classification of German job titles according to KldB : Challenges and novel methods. INFORMATIK 2025 : The Wide Open. Offenheit von Source bis Science. 1009-1021.
Tiemann, M., Dörpinghaus, J. (2025). Occupations and Education in X Data : How representative is the data?. INFORMATIK 2025 : The Wide Open. Offenheit von Source bis Science. 1065-1080.
Reiser, T., Dörpinghaus, J., Steiner, P. (2025). Record Linkage for Historical German VET Data: Towards Linked Labor Market Data. INFORMATIK 2025 : The Wide Open. Offenheit von Source bis Science. 1055-1064.
Udelhofen, S., Dörpinghaus, J. (2024). IT Professionals in Germany : Labor Market Demands of Computer Science Education and their Perception on Social Media. TiCSE 2024: Innovation and Technology in Computer Science Education, Milan Italy, July 8 - 10, 2024. 802-802.
Fechner, R., Dörpinghaus, J., Firll, A. (2023). Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023. 463-470.
Dörpinghaus, J., Weil, V., Sommer, M.W. (2023). Towards modelling and analysis of longitudinal social networks. Communication Papers of the 18th Conference on Computer Science and Intelligence Systems. 81-89.
Dörpinghaus, J., Binnewitt, J., Hein, K. (2023). Lessons from Continuing Vocational Training Courses for Computer Science Education. ITiCSE 2023 : Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2. 636.
Dörpinghaus, J., Tiemann, M. (2023). Vocational Education and Training Data in Twitter : Making German Twitter Data Interoperable. Making a Difference : Translating Information Reserach into Practice, Policy, and Action. 946-948.
Dörpinghaus, J., Hübenthal, T., Faber, J. (2022). A novel link prediction approach on clinical knowledge graphs utilizing graph structures. Proceedings of the of the 17th Conference on ComputerScience and Intelligence Systems. 43-52.
Dörpinghaus, J., Weil, V., Binnewitt, J. (2022). Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles. Proceedings of the of the 17th Conference on Computer Science and Intelligence Systems, 4-7 september, 2022, Sofia. 323-327.
Dörpinghaus, J., Weil, V., Düing, C., Sommer, M.W. (2022). Centrality Measures in multi-layer Knowledge Graphs. Communication Papers of the of the 17th Conference on Computer Science and Intelligence Systems. 163-170.
Dörpinghaus, J., Düing, C. (2021). Automated creation of parallel Bible corpora with cross-lingual semantic concordance. Proceedings of the 16th Conference on Computer Science and Intelligence Systems. 111-114.
Dörpinghaus, J., Weil, V., Schaaf, S., Hübenthal, T. (2021). An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph. Proceedings of the 16th Conference on ComputerScience and Intelligence Systems : FedCSIS 2021. 59-68.

Chapter in book (Refereed)

Dörpinghaus, J., Weil, V., Sommer, M.W., Tiemann, M., Hein, K. (2025). Modeling and Analysis of Longitudinal Labor Market Social Networks. Recent Advances in Computational Optimization. Studies in Computational Intelligence. Springer Nature. 1-26.

Book (Other academic)

Dörpinghaus, J. (2025). Complex networks and data science: case studies in interdisciplinary research. Koblenz, University of Koblenz.
Dörpinghaus, J., Schaaf, S., Weil, V. (2020). Java für die Life Sciences : Eine Einführung in die angewandte Bioinformatik. O'Reilly.

Chapter in book (Other academic)

Dörpinghaus, J., Weil, V., Binnewitt, J. (2024). Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads. Recent Advances in Computational Optimization Results of the Workshops on Computational Optimization and Numerical Search and Optimization. Berlin, Springer. 52-70.
Dörpinghaus, J., Schrader, R. (2019). Solving Sorting of Rolling Stock Problems Utilizing Pseudochain Structures in Graphs. Recent Advances in Computational Optimization : Results of the Workshops on Computational Optimization and Numerical Search and Optimization. Springer. 45-59.

Doctoral thesis, monograph (Other academic)

Dörpinghaus, J. (2018). Pseudostabile Mengen in Graphen. Doctoral Thesis. Stuttgart, Fraunhofer IRB Verlag. 168.

Collection (editor) (Other academic)

Dörpinghaus, J., Schaaf, S., Weil, V., Apke, A. (2022). Computational Life Sciences : Data Engineering and Data Mining for Life Sciences. Springer. 598.