Marc Oedingen received his Master's in Data and Information Science from TH Köln University of Applied Sciences in 2024 and is pursuing a PhD in Applied Mathematics at the same institution. From 2022 to 2024, he worked as a research assistant at the Institute of Computer Science and Engineering at TH Köln. His research interests include explainable artificial intelligence, reinforcement learning, large language models, and optimization.
Raphael C. Engelhardt received his Master's in Physics from the University of Heidelberg and is now pursuing a PhD. Currently, he is a research assistant at TH Köln (Cologne University of Applied Sciences) and a PhD candidate at the Ruhr University Bochum. His research interests include neuromorphic computing, machine and especially reinforcement learning, and explainable artificial intelligence.
Robin Denz received his Masters Degree in Survey Methodology from the University Duisburg-Essen in 2020, and is now pursuing a PhD in Epidemiology & Clinical Research. He currently works as a Research Associate at the Ruhr-University Bochum in the Department of Medical Informatics, Biometry, and Epidemiology. His research topics mainly include causal inference based methodological studies as well as various forms of applied medical research.
Wolfgang Konen earned a Diploma in Experimental Physics (1987) and a PhD in Theoretical Physics (1990), both from the University of Mainz, Germany. He is now a full professor in the Department of Computer Science at TH Köln (Cologne University of Applied Sciences). His work in Computer Science has resulted in 164 publications (h-index 26, with over 4800 citations); he has supervised four PhD theses and over fifty BA/MA theses. His research interests include artificial intelligence, understanding how humans and computers learn, machine learning and data mining, reinforcement learning, game learning, optimization, surrogate models (RBF and Kriging), time series prediction, anomaly detection, and computer vision.
