Cookie usage policy

The website of the University Carlos III of Madrid use its own cookies and third-party cookies to improve our services by analyzing their browsing habits. By continuing navigation, we understand that it accepts our cookie policy. "Usage rules"

Lars Kai Hansen

 
 

Lars Kai Hansen - Technical University of Denmark (DENMARK)

Lars Kai Hansen received his PhD in Physics from the University of Copenhagen. He is currently a Professor of Informatics and Mathematical Modelling at the Technical University of Denmark. He was Cofounder and principal investigator in the Center for Integrated Molecular Brain Imaging (CIMBI), and Cofounder of National Research Center for Neural Networks Research in Denmark. He now heads the THOR Center for Neuroinformatics, Informatics and Mathematical Modelling at the Technical University of Denmark. Dr. Hansen is the author of the book Neural Networks for Modelling and Control of Dynamic Systems, has participated in collected works, and published articles in several journals. Throughout his career he has written more than 225 reviewed publications, made television and radio appearances and participated in and organized international conferences.

RESEARCH STAY AT UC3M: SIGNAL AND COMMUNICATIONS THEORY DEPARTMENT

PROJECT: My work at UC3M is focused on cognitive systems, in particular modeling human decision processes and human predictability. Based on the fact that the human brain is a "social machine", we hope to combine current research at UC3M on learning in sensor networks with models of human collective behaviors and learning.

Stay Period: FEB 11 - JUL 11

Conferences

Title: "Good Friends, Bad News - Affect and Virality in Twitter"

Author: Prof. Lars Kai Hansen

Date: Jun 3, 2011

Time: 12:00h

Date: Aula de Grados. Ed. Padre Soler

Publications

J. Montoya-Martinez, A. Artes-Rodriquez, L.K. Hansen, and M. Pontil. Structured Sparsity Regularization Approach to the EEG Inverse Problems. 3rd IEEE Workshop on Cognitive Information Processing CIP, Baiona, Spain (2012).

L.K. Hansen. Attention as a Machine Learning Problem. 3rd IEEE Workshop on Cognitive Information Processing CIP, Baiona, Spain (2012).

P. Garcia-Moreno, A. Artes-Rodriquez, and L.K. Hansen. A Hold-out Method to Correct PCA Variance Inflation. 3rd IEEE Workshop on Cognitive Information Processing CIP, Baiona, Spain (2012). ***Note: IEEE Spain Section Best Student Paper Prize.

Jeronimo Arenas-Garcýa, Kaare Brandt Petersen, Gustavo Camps-Valls, and Lars Kai Hansen Kernel Multivariate Analysis Framework for Supervised Subspace Learning
IEEE Signal Processing Magazine. Accepted for publications (2013).