Sigurdur Sigurdsson

Assistant Research Professor
Intelligent Signal Processing
Informatics and Mathematical Modelling
Technical University of Denmark

 
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2003- : Assistant research professor at Informatics and Mathematical Modelling, Technical University of Denmark. AE-WATT project: Marine Power Plant Management and Monitoring using Acoustic Emission, supported by EU under the Competitive and Sustainable Growth Program.

Publications:

Sigurdsson, S., Pontoppidan, N. H. and Larsen, J. Supervised and unsupervised condition monitoring of non-stationary acoustic emission signals. Accepted for International Conference on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2005. [pdf]

Pontoppidan, N. H., Larsen, J. and Sigurdsson, S. Non-stationary Condition Monitoring of large diesel engines with the AEWATT toolbox. 59th meeting of the Society for Machinery Failure Prevention Technology, 2005.[pdf]

Pontoppidan, N. H., Sigurdsson, S. and Larsen, J. Condition monitoring with Mean field independent components analysis. Mechanical systems and signal processing: Special issue on blind source separation. 2005 [pdf]

Pontoppidan, N. H. and Sigurdsson, S. Independent components in acoustic emission energy signals from large diesel engines. International Journal of COMADEM, 2005. [pdf]

N.H. Pontoppidan, J. Larsen, S. Sigurdsson, J. Steel, R. Douglas, T. Fog, E. Brown. Data Acquisition Strategy and Signal Preprocessing. Technical Report 2003, Informatics and Mathematical Modelling, Technical University of Denmark, 2003.


2003: Assistant research professor at Informatics and Mathematical Modelling, Technical University of Denmark. The Human Brain Project: Classification and feature extraction from functional neuroimages.


1999-2003: Ph.D. student at Informatics and Mathematical Modelling, Technical University of Denmark. Diagnosis support systems, pattern recognition, classification and visualization of medical data. Case study is Raman spectroscopy for classification of skin lesions.

Publications:

S. Sigurdsson. A Probabilistic Framework for Detection of Skin Cancer by Raman Spectra. Ph.D. Thesis, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003. [zip]

S. Sigurdsson, L.K. Hansen and K.T. Drzewiecki. Identifying Black Dots in Dermatoscopic Images using Template Matching. Technical Report 2003-21, Informatics and Mathematical Modelling, Technical University of Denmark, 2003. [pdf]

M. Gniadecka, P.A. Philipsen, S. Sigurdsson, S. Wessel, O.F. Nielsen, D.H. Christensen, J. Hercogova, K. Rossen, H.K. Thomsen, R. Gniadecki, L.K. Hansen, H.C. Wulf. Malignant Melanoma Diagnosis by Raman Spectroscopy and Neural Network: Structure Alterations in Proteins and Lipids in Intact Cancer Tissue. Accepted for Journal of Investigative Dermatology, 2003.

S. Sigurdsson, P.A. Philipsen, L.K. Hansen, J. Larsen, M. Gniadecka, and H.C. Wulf. Detection of Skin Cancer by Classification of Raman Spectra. Accepted for IEEE Transactions on Biomedical Engineering, 2003.

S. Sigurdsson, J. Larsen, L.K. Hansen, P.A. Philipsen and H.C. Wulf. Outlier estimation and detection: Application to Skin Lesion Classification. In proceedings of ICASSP'2002, Orlando, Florida, USA, May 13-17, vol. I, pp. 1049-1052, 2002. [pdf]


1999: Research assistant at Informatics and Mathematical Modelling, Technical University of Denmark. Working on text analysis, feature extraction from text and document classification.

Publications:

L.K. Hansen, S. Sigurdsson, T. Kolenda, F.Å. Nielsen, U. Kjems and J. Larsen. Modeling Text with Generalizable Gaussian Mixtures. In proceedings of IEEE ICASSP'2000, Istanbul, Turkey, June 5-9, 2000, vol. VI, pp. 3494-3497. [pdf]

T. Kolenda, L.K. Hansen and S. Sigurdsson. Independent Components in Text. Advances in Independent Component Analysis, Springer-Verlag, M. Girolami (ed.), 2000. [zip]


1998-1999: Research assistant at Informatics and Mathematical Modelling, Technical University of Denmark. Working on feature extraction and classification of skin lesions from dermatoscopic images.

Publications:

S. Sigurdsson, L.K. Hansen and K.T. Drzewiecki. Color Segmentation of Skin Lesions with the Generalizable Gaussian Mixture Model. Technical Report 2003-22, Informatics and Mathematical Modelling, Technical University of Denmark, 2003. [pdf]

S. Sigurdsson, L.K. Hansen and K.T. Drzewiecki. Identifying Black Dots in Dermatoscopic Images using Template Matching. Technical Report 2003-21, Informatics and Mathematical Modelling, Technical University of Denmark, 2003. [pdf]