Organisation profile

At the Institute of Information Systems (IIS) of the Leuphana University we work on innovative topics in Information Systems and Data Science. The main focus is on digital transformation, e-health, e-commerce, business analytics, sports and e-learning. Methodologically, we focus on the development and use of machine learning and artificial intelligence methods for the modeling and solution of data-driven decision problems. Additional quantitative (e.g. graphs, optimization) and qualitative (e.g. interviews, reference modeling) methods complement this spectrum. Cooperating with other universities, companies, and institutions of the civil society plays an important role in our work.

Main research areas

At the Institute of Information Systems there are currently 6 professors and numerous research assistants. Our main research areas include digital transformation, e-health, e-commerce, business analytics, sports, and e-learning. Details can be found on the websites of the work groups and in the central research database of Leuphana. The Institute of Information Systems organized a number of events and conferences at Leuphana (e.g. ITEE 2013, final round of the German National Computer Science Competition 2014, MKWI 2018).

  1. Published

    Conceptualizing Role Development in Agile Transformations: Deriving Design Goals and Principles for Agile Roles

    Lueg, R. & Drews, P., 11.2021, Innovation Through Information Systems - Volume II: A Collection of Latest Research on Technology Issues. Ahlemann, F., Schütte, R. & Stieglitz, S. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 531-547 17 p. (Lecture Notes in Information Systems and Organisation; vol. 47).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Published

    Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping

    Kortmann, F., Brieske, D., Piekarek, P., Eckstein, J., Warnecke, A., Drews, P. & Sauer, D. U., 31.01.2021, 2021 International Conference on Electronics, Information, and Communication (ICEIC). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 9369785. (International Conference on Electronics, Information, and Communication, ICEIC ; vol. 2021).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Computergestütztes Repetitorium der Elementarmathematik

    Jacobs, J. & Riebesehl, D., 02.1996, Lüneburg: Universität Lüneburg, 50 p. (Final; vol. 6, no. 1).

    Research output: Working paperWorking papers

  4. Published

    Computergestütztes Repetitorium der Elementarmathematik

    Jacobs, J. & Riebesehl, D., 09.2002, Lüneburg: Universität Lüneburg, 75 p. (Final; vol. 12, no. 4).

    Research output: Working paperWorking papers

  5. Published

    Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks

    Luttmann, L. & Mercorelli, P., 20.10.2021, 2021 25th International Conference on System Theory, Control and Computing (ICSTCC): October 20 – 23, 2021 Iași, ROMANIA, Proceedings. Ferariu, L., Matcovschi, M.-H. & Ungureanu, F. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 234-241 8 p. (International Conference on System Theory, Control and Computing; no. 25).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Published

    Comparing two hybrid neural network models to predict real-world bus travel time

    Nimpanomprasert, T., Xie, L. & Kliewer, N., 01.01.2022, In: Transportation Research Procedia. 62, p. 393-400 8 p.

    Research output: Journal contributionsConference article in journalResearch

  7. Published

    Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal

    Martin, C. & Niemeyer, P., 05.02.2016, 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). Yetongnon, K., Dipanda, A. & Chbeir, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 460-467 8 p. 7400603. (Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    Co-EM Support Vector learning

    Brefeld, U. & Scheffer, T., 2004, Proceeding ICML '04 Proceedings of the twenty-first international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 121-128 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  9. Published

    Clustering design science research based on the nature of the designed artifact

    Laine, J., Zimmer, M. P., Minkkinen, M., Salmela, H. & Mäntymäki, M., 01.01.2022, The Role of Digital Technologies in Shaping the Post Pandemic World: 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Newcastle Upon Tyne, UK, September 13–14, 2022, Proceedings. Papagiannidis, S., Alamanos, E., Gupta, S., Dwivedi, Y. K., Mäntymäki, M. & Pappas, I. O. (eds.). Cham: Springer Schweiz, p. 254–266 13 p. (Lecture Notes in Computer Science; vol. 13454).

    Research output: Contributions to collected editions/worksChapterpeer-review

  10. Published

    Clusteranalyse als Methode zur Strukturierung großer Datenmodelle

    Riebesehl, D., 2008, Wirtschaftsinformatik "Ein weites Feld": Festschrift für Prof. Dr. Horst Meyer-Wachsmuth. Lüneburg: Leuphana Universität Lüneburg, p. 107-128 22 p. (FInAL; vol. 18, no. 1).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearch