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 in general and more precisely on regression test optimization.

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!

• 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.