Lars Kai Hansen

Lars Kai Hansen is a Professor and Head of the Cognitive Systems Section at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). He holds MSc and PhD degrees in Physics from the University of Copenhagen. His research focuses on machine learning, signal processing, AI, and neuroimaging, with notable contributions to ensemble methods, brain state decoding using PET and fMRI, and uncertainty quantification in machine learning models. He has published over 400 papers and secured funding from the Danish Research Councils, EU, and NIH.

Research Interests: Machine Learning, Cognitive Systems, Signal Processing, Neuroimaging, AI Explainability, and Medical Applications of AI. His work addresses challenges in model interpretability, neural network architecture optimization, and healthcare applications.

Key Achievements: Developed methods for visualizing machine learning models, introduced ensemble techniques in the 1990s, and was awarded the “Catedra de Excelencia” in 2011. His recent projects include HPC/AI ecosystem frameworks and EEG-based schizophrenia patient clustering.

Advising & Grants: Supervises PhD students in AI explainability, self-supervised learning, and neuroimaging. Projects funded by EU, Danish agencies, and NIH. Current projects include Next Generation AI Explainability and Transformer Modelling for Neurological Signal Decoding.

Labs/Teams: Leads the Cognitive Systems Section at DTU, fostering interdisciplinary research in AI and neuroscience. Collaborates globally on HPC/AI infrastructure and medical AI applications.