Thomas Kopinski

Prof. Dr. Thomas Kopinski is a Professor at the Faculty of Engineering and Economics, South Westphalia University of Applied Sciences in Meschede, Germany. He leads the AI Safety and Collective Intelligence Lab, focusing on cutting-edge research in machine learning applications for industrial and automotive systems. His work bridges academic research and industry collaborations, notably with BMW AG.

Research Focus: His team explores:

• Deep learning architectures for real-time gesture recognition and automotive HMI
• AI safety protocols and collective intelligence frameworks
• Industrial applications including predictive maintenance and anomaly detection
• 3D programming and sensor fusion techniques

Team & Students: Current advisees include PhD candidates working on:

• Bayesian deep learning for predictive maintenance (Felix Neubürger)
• Generative models for image synthesis (Yasser Saeid)
• Object recognition in crash test videos (Daniel Gierse)

Key Projects: Actively directs WiTraPres and Core Transformer initiatives, with upcoming R&D in AI Safety launching in 2025. Industrial collaborations focus on automotive safety systems and manufacturing optimization.