Jan Voets, M.Sc

Scientific Researcher
Area of Research:
- Time Series Classification
- Deep Learning and Machine Learning
- Explainable AI
- Computer Vision
Biography
Jan Voets has been a research assistant and doctoral candidate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since June 2025.
Mr. Voets studied industrial engineering with a focus on electrical engineering at the University of Wuppertal in his bachelor's degree and then in his master's degree with a focus on information technology and digitization. In his master's thesis, he dealt with improving the prediction of flood events using deep learning methods by means of generative and augmentative techniques, as well as the training of global prediction models.
He worked as a research assistant at the TMDT during his studies and is now focusing his research on machine learning in an industrial context.