Lars Kai Hansen received the Ph.D. degree in physics from the University of Copenhagen in 1986.
Since 2000 he has held the professorship in digital signal processing at the Technical University of Denmark, where he also heads the Cognitive Systems Section.
His research focuses on adaptive signal processing and machine learning with applications in bio-medicine, digital media and cognitive systems. He has published more than 300 papers on these subjects in journals, conferences, and books. The major contributions include introduction and analysis of neural network ensembles (1990-96); the first application of predictive machine learning for mind reading in PET (1994-) and fMRI (1997-); the concept of cognitive components (2005-); the cure for variance inflation (2001,2011-). His research is generously supported by Danish and international research councils and foundations, including the US National Institutes of Health, the European Union, the Danish Innovation Foundation and the Lundbeck Foundation. In 2011, he served as Cátedra de Excelencia at Universidad Carlos III de Madrid.