Keywords: Machine learning, neuroimaging, neuroinformatics, neural network, kunstig intelligens, Big data, sociale medier

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Lars Kai Hansen

Professor, Head of Section Cognitive Systems

Department of Applied Mathematics and Computer Science

- DTU Compute
Location: Richard Petersens Plads B321, Office 012.

Postal address: Richard Petersens Plads B324, Technical University of Denmark, DK 2800 Kgs Lyngby, DENMARK. Tel: (+45) 4525 3889;
E-mail: lkai AT dtu.dk

Twitter: @Tweetteresearch

 

Director THOR Center for Neuroinformatics

Smartphone EEG brain scanner. CIMBI - Funded by the Lundbeck foundation,  Brede search engine.

 

Some recent talks /w pdfs

IBM Almaden Research Center (San Jose, Jan 21, 2015) “Quantified living” pdf

Swartz Center for Computational Neuroscience (UC San Diego, Jan 15, 2015). Representing and estimating forward models for EEG Imaging"  pdf

Plenary talk IEEE Int. Workshop on Machine Learning for Signal Processing 2014 (Reims, France, Sep 24, 2014). “Real-time brain imaging in the wild” pdf 

IPAM Workshop on Multimodal Neuroimaging (UCLA, March 6, 2013) "Mobile Real-Time EEG Imaging" pdf

Facebook (Palo Alto, Jan 22, 2013). “The Cognitive Components of Digital Media” pdf

Keynote 10th Int. Workshop on Adaptive Multimedia Retrieval (Royal School of Library, Oct 24, 2012).  “The Cognitive Components of Digital Media” pdf

BBCI Summer School (TU Berlin, Sep 21). “Resampling based methods for design and evaluation of neurotechnology” Web site w. slides

Keynote 9th Sound and Music Computing Conference (Aalborg Univ., Jul 14). “The Cognitive Components of Audio Spaces” pdf

SICSA Summer School (Glasgow Univ., Jun 13, 2012). “Personal State Decoding” Link (pdf’s, code)

Keynote 3rd Workshop on Cognitive Information Processing CIP 2012 (Spain, May 30). “Attention as a machine learning problem” pdf

Institutionen för Psykologi Seminar (Lund Univ., Mar 30 2012) . “Cognitive representations: What can we learn from machine learning?” pdf

MTV Tech Talk (Google, Jan 27 2012). “Good Friends, Bad News - Affect and Virality in Twitter” pdf

 

Big Data: Visions & critique

Politikens Kronik Fredag 9. august 2013 (in Danish). Indeni, udenpå (udvidet version, med referencer). DTU MAN IPU Seminar:  Big Data – Big Science   March 12, 2014 (pdf)

 

Other current research issues:

Affect and virality in Twitter. Top-down attention as a machine learning problem. Small samples in high-dimensions (variance inflation) Cognitive component analysis. Functional neuroimaging (with access to the 'lyngby' toolbox). Modeling EEG using PARAFAC

Publications:  300+ papers in journals, books, and conferences Google cholar profile (H=48, 11900 citations)        Publications in DTU Orbit        

Press (International) / Medieomtale (in Danish)

Brief biography: 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. With the Technical University of Denmark since 1990, full professor 2000. 2008- Head of Section, Cognitive Systems, DTU Compute, Technical University of Denmark. 2011 Excellence professorship, Univ. Carlos III Madrid, Spain. Member The Danish Council for Independent Research Technology and Production Sciences (FTP) 2011-2014. (Download full CV and publication list updated Mar 2015).

Since 1981 married to Connie Bork - poetry in Danish. Our fantastic offspring Sara Bork and Alexander Bork

Key publications:

T.J. Abrahamsen, L.K. Hansen: A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis.

Journal of Machine Learning Research 12:2027−2044, (2011)

 

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

Neural Computation 20:738-755 (2008).

 

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

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

 

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).

 

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).

 

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).

 

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).

 

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

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

 

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, 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).

 

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

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

 

Download of preprints/papers from the publication repository.

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

 

For students

 

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

Rasmus Troelsgaard

Audio informatics

CoSound, DsF

Sofie Therese Hansen

Medical signal processing

DTU

Michael Riis Andersen

Machine learning

DTU

Andreas Trier Poulsen

Medical signal processing

DTU

Simon Kamronn

Health monitoring

Tryg Fonden

Former Phd-students: 

Bjarne Wahlgreen

Adform

Kasper Winther Jørgensen

Hvidovre Hospital DRCMR

Toke Jansen Hansen

CloudCutOut

Trine Abrahamsen

Novo Nordic

Tue Herlau

DTU Compute

Peter Mondrup Rasmussen

Aarhus University

Carsten Stahlhut

Alipes A/S

Marcin Szewczyk

Anders Petersen

Teknologisk Institut

Ling Feng

Rigshospitalet, Copenhagen

Andreas Brinch Nielsen

Alipes A/S

Rasmus Elsborg Madsen

Hyposafe A/S

Tim Dyrby

Hvidovre Hospital MR

Morten Moerup

DTU Compute

Kristoffer Hougaard Madsen

Hvidovre Hospital MR

Tue Lehn Schioeler

Rambøll

Rasmus K. Olsson

GN Netcom

Esben Hoegh Rasmussen

Rigshospitalet 

Mads Dyrholm

Jabra

Kaare Brandt Petersen

SAS

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

Chora A/S

Ulrik Kjems

OTICON

Bjorn Steen Larsen

 

Mads Hintz Madsen

MediaTek

Niels Moerch

Fingerprints

Karam Sidaros

Hvidove Hospital

Peter A. Philipsen

Bispebjerg Hospital

Nikola Schou

 

Pedro Hoejen Soerensen

Foss

Peter Toft

NOKIA

Thorkild Find Petersen

Bruel & Kjaer, ATV

Finn Aarup Nielsen

IMM

Siggi Sigurdsson

Oticon

Robin de Nijs

Medical signal processing

Morten With Pedersen

Foss

Claus Svarer

Rigshospitalet

Anna Szymkowiak

Datamining, SAXO Bank

Joaquin Quinonero

Facebook

Sune Lehmann

DTU Compute

Daniel Jacobsen

Decision3, Thorshavn

Frederik Brink Nielsen

ISG Denmark

Kristian Klinkby

 

 

 

 

Early work on Independent Component Analysis (ICA)

see also the publication repository , or NEC's citeseer

 

 

Return to Section for Cognitive Systems homepage.