Keywords: Machine learning, neuroimaging, neuroinformatics, neural network, ICA, VRML, kunstig intelligens

Lars Kai Hansen

Professor

Head of Section Cognitive Systems

DTU Informatics
Richard Petersens Plads B321
Technical University of Denmark
DK-2800 Lyngby, DENMARK.

Tel: (+45) 4525 3889; FAX: (+45) 4587 2599
E-mail: lkh at imm.dtu.dk

Director of the THOR Center for Neuroinformatics

CIMBI -- Funded by the Lundbeck foundation,

Brede neuroimaging search engine.

Head of Intelligent Sound - framework program funded

by the Danish Technical Research Council (FTP).

Muzeeker - Wikipedia music search engine

Invited talks 2009

Matrix Computations & Scientific Computing Seminar (UC Berkeley, January 21)

Redwood Center for Theoretical Neuroscience (UC Berkeley, January 22, video)

ICANNGA’09, Plenary talk, Int. Conference on Adaptive and Natural Computing Algorithms (Koupio, Finland, April)

BBCI Workshop (Bernstein Brain Computer Interaction, Berlin, July 6)

MLSP 2009 Plenary talk, IEEE Workshop Machine Learning for Signal Processing, (Grenoble, Sep 2)

Invited talks 2008

MMDS 2008. Workshop on Algorithms for Modern Massive Data Sets

(Stanford, June)

IPAM 2008: Summer School: Mathematics in Brain Imaging

(UCLA, July)

AKRR'08 - Conference on Adaptive Knowledge Representation and Reasoning.

(Porvoo, Finland, September 17-19, 2008).

NIPS 2008 Workshop: New Directions in Statistical Learning for Meaningful and Reproducible fMRI Analysis

(Whistler, CA, December 14, 2008).

Current research issues:

Cognitive component analysis,

Audio and music modelling

Functional neuroimaging (with access to the 'lyngby' toolbox)
Molecular brain imaging,

Modeling brain electrophysiology using convolutive ICA (EEG),

Modeling EEG using PARAFAC

Kronik i Berlingske Tidende d 19. december 2006

(Udvidet version med flere eksempler)

Popular talks and press coverage (in Danish)

For students

Supervisor (PhD-student, research area, funding):

Marcin Szewczyk	Social informatics	Danish Strategic Research Councils
Trine Abrahamsen	Machine Learning	DTU
Bart Wilkowski	Medical informatics	Lundbeck Foundation
Carsten Stahlhut	Medical signal processing	DTU
Robin de Nijs	Medical signal processing	Hvidovre Hospital
Kristian Klinkby	Medical signal processing	DTU
Peter Mondrup Rasmussen	Medical signal processing	DTU
Frederik Brink Nielsen	Statistical signal processing	ISG Denmark
Anders Petersen	Cognitive systems	Oticon Fonden

Former Phd-students: 

Ling Feng	Nokia
Andreas Brinch Nielsen	Widex
Rasmus Elsborg Madsen	Hyposafe A/S (visiting IMM, DTU)
Tim Dyrby	Hvidovre Hospital MR
Morten Moerup	IMM DTU
Kristoffer Hougaard Madsen	Hvidovre Hospital MR
Tue Lehn Schioeler	Epital A/S
Rasmus K. Olsson	GN Netcom
Esben Hoegh Rasmussen	Rigshospitalet
Mads Dyrholm	Columbia University
Kaare Brandt Petersen	Epital, IMM DTU
Irene Klaerke Andersen	CFIN Aarhus
Lars Nonboe Andersen	SIMRAD, NORWAY
Peter Magnus Noergaard	WIDEX
Torben Fog	M.A.N. B&W
Maarten Keijzer	Vrije Universiteit, Amsterdam
Preben Kidmose	WIDEX
Thomas Kolenda	CODEGROUP
Thomas Fabricius	Engineering College of Aarhus
Ulrik Kjems	OTICON
Bjorn Steen Larsen
Mads Hintz Madsen	NOKIA
Niels Moerch	NOKIA
Karam Sidaros	Hvidove Hospital
Peter A. Philipsen	Bispebjerg Hospital
Nikola Schou
Pedro Hoejen Soerensen	NOKIA
Peter Toft	NOKIA
Thorkild Find Petersen	Bruel & Kjaer, ATV
Finn Aarup Nielsen	IMM
Siggi Sigurdsson	Oticon
Morten With Pedersen	NOKIA
Claus Svarer	Rigshospitalet
Anna Szymkowiak	Datamining consultant, SAXO Bank
Joaquin Quinonero	Microsoft Research UK
Sune Lehmann	North Eastern Univ, Boston
Daniel Jacobsen	Decision3, Thorshavn

Brief biography: (Download full CV and publication list updated Sep 2009)

LKH has a PhD in physics (University of Copenhagen, 1986).

He worked on industrial vision/neural nets from 1987-1990, with Andrex Radiation Products A/S.

He has been with the Technical University of Denmark , since 1990. Full professor since September, 2000.

Since 1981 married to Connie Bork - poetry in Danish

Key publications (pdfs):

L.K. Hansen and P. Salamon: Neural Network Ensembles.

IEEE Transactions on Pattern Analysis and Machine Intelligence 12: 993-1001 (1990).

L.K. Hansen, J. Larsen, F.AA. Nielsen, S.C. Strother, E. Rostrup, R. Savoy,

N. Lange, J.J. Sidtis, C. Svarer, O.B. Paulson: Generalizable Patterns in Neuroimaging:

How Many Principal Components? NeuroImage 9: 534-544 (1999).

N. Lange, S.C. Strother, J.R. Anderson, F.AA. Nielsen, A.P. Holmes, T. Kolenda,

R. Savoy, L.K. Hansen: Plurality and Resemblance in fMRI Data Analysis.

NeuroImage, 10(3): 282-303 (1999)

L.K. Hansen: Bayesian Averaging is Well-Temperated

In Proceedings of NIPS*99, S.S.\ Solla et al. (eds.), 265-271 (2000)

U. Kjems, L.K. Hansen, J. Anderson, S. Frutiger, S. Muley, J. Sidtis, D. Rottenberg, and S.C. Strother.

The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves.

NeuroImage 15(4): 772-786 (2002)

S.C. Strother, J. Anderson, L.K. Hansen, U. Kjems, R. Kustra, J. Sidtis, S. Frutiger, S. Muley, S. LaConte, and D. Rottenberg.

The Quantitative Evaluation of Functional Neuroimaging Experiments:

The NPAIRS Data Analysis Framework. NeuroImage 15(4):747-771 (2002).

P.A.d.F.R. Hojen-Sorensen, O. Winther, and L.K. Hansen.

Mean Field Approaches for Independent Component Analysis

Neural Computation 14:889-918 (2002).

M. McKeown, L.K. Hansen, and T.J. Sejnowski:

Independent Component Analysis for fMRI: What is Signal and What is Noise?

Current Opinion in Neurobiology Vol.13(5) 620-629 (2003).

M. Moerup, L. K. Hansen, C. S. Hermann, J. Parnas, S. M. Arnfred,

Parallel Factor Analysis an exploratory tool for wavelet transformed event-related EEG

NeuroImage 29(3): 938-947 (2006).

R. K. Olsson and L. K. Hansen: Linear State-Space Models for Blind Source Separation

Journal of Machine Learning Research 7(Dec):2585—2602 (2006).

D. J. Jacobsen, L. K. Hansen, K. H. Madsen: Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics.

Neural Computation 20:738-755 (2008).

Download of preprints/papers from the publication repository.

(1994-2001 in the local repository, from 2001 in the IMM system)

Early work on Independent Component Analysis (ICA)

see also the publication repository , or NEC's citeseer

Tutorial on neural networks for Hydroinformatics 98

Tutorial on neuroinformatics for ICASSP'2000

Return to Section for Digital Signal Processing Group homepage.