Philipp Hansen has been working as a research assistant at the Chair of Explainable AI-Based Business Information Systems since October 2024. He received his Master of Science (M.Sc.) in "Applied Research in Engineering Sciences" with a focus on "Data and Process Science" from Landshut University of Applied Sciences. Prior to that, he studied at the Technical University of Applied Sciences Augsburg, where he received his Bachelor of Engineering (B.Eng.) in "International Management and Engineering". He also spent a semester abroad at the Napier University in Edinburgh, Scotland. Philipp Hansen gained practical experience while working at BMW AG, Rosenberger Hochfrequenztechnik GmbH & Co. KG, BSH Hausgeräte GmbH (Bosch), as well as the Institute for Data and Process Science (Landshut University of Applied Sciences), among others.

• Machine Learning
• Explainable AI (XAI)
• Human-AI Interaction
• Decision Support Systems (DSS)
• Fuzzy Logic

Hansen, P. & Timinger, H. (2022). Concept of a Fuzzy Expert System for Story Point Estimations in Agile Projects. IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference (ICE-IAMOT 2022). Nancy, France.

Winter Semester 2024/25:

• 35004 Seminar: Bachelor's Seminar Information Systems
• 35007 Exercise: Artificial Intelligence (AI)-Based Business Information Systems