Jan Voets

Jan Voets is a Scientific Researcher and doctoral candidate at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal, where he conducts research in machine learning and deep learning with applications in industrial contexts. He holds an M.Sc. in Industrial Engineering with a focus on information technology and digitization.

His research interests include:

• Time Series Classification
• Deep Learning and Machine Learning
• Explainable AI
• Computer Vision
• Generative and Augmentative Techniques for Data Enhancement
• Global Predictive Modeling for Environmental Events

His work bridges advanced AI methodologies with real-world industrial and environmental challenges, particularly in improving flood prediction systems using deep learning. While no publications or awards are listed in the current profile, his research trajectory emphasizes practical, data-driven solutions in digital transformation. He has been continuously affiliated with the University of Wuppertal as a research assistant and now as a doctoral researcher, indicating strong institutional engagement.

Jan Voets advises no students at this time and has not received any mentioned scientific awards. He is part of the TMDT research team, contributing to projects at the intersection of AI and industrial digitization.