1 June 2022
1 May 2023
22 May 2023
Q. Stier received his bachelor in mathematics at the University of Erlangen in 2017 and his master in data science at the University of Marburg in 2021. His master thesis investigated time series forecasting using wavelet analysis comparing it to popular current state-of-the-art methods. Currently, he is pursuing a PhD in artificial intelligence focusing on interpretable techniques applicable for human-in-the-loop processes at the University of Marburg.
Priv.-Doz. Dr. habil. M.C. Thrun received his diploma in physics (2014) and his doctorate in data science (2017) at the Philipps-University Marburg under the chair of Databionics Prof. Dr. habil. Alfred H.G. Ultsch. Afterwards, he worked for almost two years as a Big Data Scientist for an international manufacturer. He is the author of the book “Projection-Based Clustering through Self-Organization and Swarm Intelligence”. His team specializes in explainable artificial intelligence, predicting time series and knowledge discovery using methods borrowed from nature. Additionally, they are researching the topic of recognizing and explaining diseases. In 2022, he received his habilitation in informatics at the Philipps-University Marburg with a thesis about explainable artificial intelligence and a colloquium about reinforcement learning in praxis. Currently, Thrun holds a position for lecturing on databionic methods of artificial intelligence, time series analysis and knowledge discovery in the Data Science program at the Philipps University of Marburg.