Artificial Intelligence, Machine Learning and Control

We are a research group dedicated to building trustworthy and intelligent AI systems that perform reliably in the real world. In reinforcement learning and control, our work spans industrial process optimization, smart mobility and traffic management, and human-robot collaboration, paired with algorithmic fairness and interpretable, efficient anomaly detection for industrial and edge deployments. A parallel line of research in computer vision and continual learning — covering visual anomaly detection, object recognition with YOLO, weakly supervised learning and active learning — keeps our models adaptive as the data they see keeps changing.