Foto von Daniel Elsner

Daniel Elsner, M.Sc.

Technische Universität München

Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner)

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

About

Before joining Prof. Pretschner's chair in July 2019, I worked in several positions as software and machine learning engineer. My research focus is on software testing and software intelligence.

If you are interested in working with us, have a look at our theses openings page. In case you have an interesting idea referring to my research areas, please feel free to contact me directly!

Teaching

Semester Title Type
WS2019/20 Advanced Topics of Software Engineering (IN2309, IN2126) Lecture + Exercise
SS2020 Seminar: Software Quality Seminar

 

Publications

  • Maier, M., Elsner, D., Marouane, C., Zehnle, M., & Fuchs, C. (2019). DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (pp. 1415-1421).
  • Elsner, D., Langer, S., Ritz, F., Müller, R., & Illium, S. (2019). Deep Neural Baselines for Computational Paralinguistics. In Proc. Interspeech 2019 (pp. 2388-2392).
  • Maier, M., Marouane, C., & Elsner, D. (2019). DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks - Extended Abstract. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (pp. 2108-2110).
  • Elsner, D., Aleatrati Khosroshahi, P., MacCormack, A. D., & Lagerström, R. (2019). Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications. In Proceedings of the 52nd Hawaii International Conference on System Sciences (pp. 5827-5836).
  • Hawlitschek, F., Kranz, T. T., Elsner, D., Fritz, F., Mense, C., Müller, M. B., & Straub, T. (2017). Sharewood-Forest–A Peer-to-Peer Sharing Economy Platform for Wild Camping Sites in Germany. Hohenheim Discussion Papers in Business, Economics and Social Sciences, 265.