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Dr. Bernard Haasdonk |
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Note, at 1.2.2009 I moved to the University of Stuttgart |
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Institute of Numerical and Applied Mathematics University of Münster Einsteinstr. 62, room 106 D-48149 Münster, Germany |
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| Telephone: | +49-(0)251-83-32753 | ||||||
| Fax: | +49-(0)251-83-32729 | ||||||
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| Research | Publications | Projects | Software | Teaching | Professional |
Research Interests
- Model Reduction
- parametrized PDEs
- parametrized dynamical systems
- reduced basis methods
- Numerical Analysis
- evolution schemes, FV, LDG-methods
- conservation laws
- error estimation
- Scientific Computing
- multiresolution visualization
- fuel cell simulation
- Machine Learning
- kernel methods, kernel design
- support vector machines
- proximity-based learning
- Pattern Recognition
- feature extraction
- classifier design
- invariance
- Image Processing
- shape from shading
- object detection
Publications and Presentations
Publications in Applied Mathematics
Haasdonk, B., Ohlberger, M., Efficient Reduced Models for Parametrized Dynamical Systems by Offline/Online Decomposition MATHMOD 2009, 6th Vienna International Conference on Mathematical Modelling , 2009. Submitted. (.pdf)
Haasdonk, B., Ohlberger, M., Space-Adaptive Reduced Basis Simulation for Time-Dependent Problems. MATHMOD 2009, 6th Vienna International Conference on Mathematical Modelling , 2009. Submitted. (.pdf)
Drohmann, M., Haasdonk, B., Ohlberger, M., Reduced Basis Method for Finite Volume Approximation of Evolution Equations on Parametrized Geometries. ALGORITMY 2009, Conference on Scientific Computing, 2009. Submitted. (.pdf)
Haasdonk, B., Ohlberger, M., Reduced Basis Method for Explicit Finite Volume Approximations of Nonlinear Conservation Laws. Proc. 12th Internation Conference on Hyperbolic Problems: Theory, Numerics, Application, 2008. Submitted. (.pdf)
Haasdonk, B., Ohlberger, M., Rozza, G., A Reduced Basis Method for Evolution Schemes with Parameter-Dependent Explicit Operators. Preprint 09/07 - N, FB 10 , University of Münster, Preprint Nr. 17/2007, Institute of Mathematics, University of Freiburg, 2007. Accepted by ETNA. (.pdf)
Haasdonk, B., Ohlberger, M., Adaptive Basis Enrichment for the Reduced Basis Method Applied to Finite Volume Schemes. In Proc. 5th International Symposium on Finite Volumes for Complex Applications, June 08-13, 2008, Aussois, France, pp. 471-478, 2008 (.ps, .pdf)
Haasdonk, B., Ohlberger, M., Basis Construction for Reduced Basis Methods by Adaptive Parameter Grids. In Proc. International Conference on Adaptive Modeling and Simulation 2007, pp. 116-119, 2007. (.ps.gz, .pdf)
Fuhrmann, J., Haasdonk, B., Holzbecher, E., Ohlberger, M., Guest Editorial for Special Issue on Modelling and Simulation of PEM-FC. Journal of Fuel Cell Science and Technology, 2007. (.ps.gz, .pdf)
Haasdonk, B., Ohlberger, M., Reduced Basis Method for Finite Volume Approximations of Parametrized Linear Evolution Equations. M2AN, Math. Model. Numer. Anal., 42(2):277-302, 2008. (.ps.gz, .pdf)
Haasdonk, B., Ohlberger, M., Reduced Basis Method for Finite Volume Approximations of Parametrized Evolution Equations. Preprint 12/2006, Institute of Mathematics, University of Freiburg, 15.11.2006. (.ps.gz, .pdf)
Haasdonk, B., Kröner, D., Rohde, C., Convergence of a Staggered Lax-Friedrichs Scheme for Nonlinear Conservation Laws on Unstructured Two-Dimensional Grids. Numer. Math. 88, pp. 459-484, Springer-Verlag Heidelberg, 2001. (.ps, .pdf)
Haasdonk, B., Kröner, D., Rohde, C., Convergence of a Staggered Lax-Friedrichs Scheme for Nonlinear Conservation Laws on Unstructured Two-Dimensional Grids. Preprint 00-07, Mathematische Fakultät Freiburg, 2000. (.ps, .pdf)
Haasdonk, B., Convergence of a Staggered Lax-Friedrichs Scheme on Unstructured 2D-Grids. Proceedings of the eighth Int. Conf. on Hyperbolic Problems, Vol. II, pp. 475-484, Birkhäuser Verlag Basel, 2000. (.ps, .pdf)
Haasdonk, B., Konvergenz eines Staggered-Lax-Friedrichs-Verfahrens auf unstrukturierten 2D-Gittern. Master's Thesis, Mathematics Department, University of Freiburg, october 1999. (.ps, .pdf)
Publications in Pattern Recognition and Machine Learning
Haasdonk, B., Pekalska, E., Classification with Kernel Mahalanobis Distances. Proc. of 32nd. GfKl Conference, Advances in Data Analysis, Data Handling and Business Intelligence, 2008. ( .ps.gz, .pdf )
Pekalska, E., Haasdonk, B., Kernel Quadratic Discriminant Analysis with Positive Definite and Indefinite Kernels. Preprint Angewandte Mathematik und Informatik 06/08-N, University of Münster, 2008. Accepted by IEEE TPAMI. ( .pdf )
Haasdonk, B., Pekalska, E., Indefinite Kernel Fisher Discriminant. Proc. of ICPR 2008, International Conference on Pattern Recognition, 2008. © IEEE, 2008. ( .pdf )
Haasdonk, B., Burkhardt, H., Classification with Invariant Distance Substitution Kernels. Proc. of 31st. GfKl Conference, Data Analysis, Machine Learning, and Applications, University of Freiburg, 2007. ( .ps.gz, .pdf )
Haasdonk, B. Burkhardt, H., Invariant Kernels for Pattern Analysis and Machine Learning. Machine Learning, 68:35-61, july 2007. ( DOI 10.1007/s10994-007-5009-7 .ps.gz, .pdf )
Peschke, K.-D., Haasdonk, B., Ronneberger, O., Burkhardt, H., Rösch, P., Harz, M. and Popp, J., Using Transformation Knowledge for the Classification of Raman Spectra of Biological Samples. BioMed 2006, Proc. of the 4th IASTED International Conference on Biomedical Engineering, pp. 288-293, 2006 ( .ps, .pdf )
Haasdonk, B. Burkhardt, H., Invariant Kernels for Pattern Analysis and Machine Learning. Internal Report 3/05, IIF-LMB, Computer Science Department, University of Freiburg, 2005. ( .ps.gz, .pdf )
Haasdonk, B., Transformation Knowledge in Pattern Analysis with Kernel Methods. PhD thesis, Computer Science Department, University of Freiburg, May 2005. ( .ps.gz, .pdf ). Published 2006 as ISBN-3-8322-5026-3, Shaker-Verlag, Aachen, and Online at http://www.freidok.uni-freiburg.de/volltexte/2376
Haasdonk, B., Vossen, A. and Burkhardt, H., Invariance in Kernel Methods by Haar-Integration Kernels. SCIA 2005, Scandinavian Conference on Image Analysis, pp. 841-851, Springer-Verlag, 2005 ( .ps, .pdf )
Haasdonk, B., Feature Space Interpretation of SVMs with Indefinite Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):482-492, april 2005. ( .ps , .pdf + supplementary material .ps , .pdf )
Haasdonk, B., Bahlmann, C., Learning with Distance Substitution Kernels. Pattern Recognition - Proc. of the 26th DAGM Symposium, Tübingen, Germany, August/September 2004, pp. 220-227. Springer Berlin, 2004. ( .ps , .pdf ) See also the accompanying page with Distance Matrices
Haasdonk, B., Halawani, A., Burkhardt, H., Adjustable Invariant Features by Partial Haar-Integration. ICPR 2004, International Conference on Pattern Recognition, Cambridge, UK, August 2004. © IEEE, 2004. ( .ps , .pdf )
Haasdonk, B., Poluru, B.R., Teynor, A., Presto-Box 1.1 Library Documentation. Internal Report 2/03, IIF-LMB, University of Freiburg, November 2003. ( .ps , .pdf )
Burkhardt, H., Haasdonk, B., Mustererkennung WS 02/03, ein multimedialer Grundlagenkurs im Hauptstudium Informatik. Computer Science Department, University of Freiburg, Germany, 2003. (CD's can be ordered)
Haasdonk, B., Feature Space Interpretation of SVMs with non Positive Definite Kernels. Internal Report 1/03, IIF-LMB, University of Freiburg, Germany, October 2003. ( .ps , .pdf )
Haasdonk, B., Keysers, D., Tangent Distance Kernels for Support Vector Machines. ICPR 2002, International Conference on Pattern Recognition, Quebeq City, Canada, August 2002. © IEEE, 2002. ( .ps, .pdf)
Bahlmann, C., Haasdonk, B., Burkhardt, H., On-Line Handwriting Recognition with Support Vector Machines - A Kernel Approach. IWFHR-8, Eighth International Workshop on Frontiers in Handwriting Recognition, Ontario, Canada, August 2002. (.ps, .pdf) Best Paper Presentation Award.
Publications in Scientific Visualization
Haasdonk, B., Ohlberger, M., Rumpf, M., Schmidt, A., Siebert, K.G., Multiresolution Visualization of Higher Order Adaptive Finite Element Simulations. Computing 70, 181-204, Springer-Verlag Wien, 2003. (.ps.gz, .pdf)
Haasdonk, B., Ohlberger, M., Rumpf, M., Schmidt, A., Siebert, K.G., h-p-Multiresolution Visualization of Adaptive Finite Element Simulations. Preprint 01-26 , Mathematische Fakultät Freiburg, Report 01-12, Zentrum für Technomathematik Bremen, 2001. (.ps.gz, .pdf.gz)
Geßner, T., Haasdonk, B., Kende, R., Lenz, M., Metscher M., Neubauer, R., Ohlberger, M., Rosenbaum, W., Rumpf, M., Schwörer, R., Spielberg, M., Weikard, U., A Procedural Interface for Multiresolutional Visualization of General Numerical Data. Report 28, SFB 256, Bonn 1999. (.ps.gz, .pdf.gz)
Current Erdös Number: 4
Further Presentations
Haasdonk, B., Reduzierte Basis Methoden zur Modellreduktion von Parametrisierten Partiellen Differentialgleichungen. CeNoS Kolloquium Nonlinear Science, Münster, 6.1.2009.
Haasdonk, B., Pekalska, E. Indefinite Kernel Fisher Discriminant. ICPR 2008, Tampa, Florida, 10.12.2008.
Haasdonk, B., Model Reduction of Parametrized Evolution Problems by Reduced Basis Methods. Regelungstechnisches Seminar, TU München, 12.11.2008.
Haasdonk, B., Pekalska, E. Classification with Regularized Kernel Mahalanobis Distances. GfKl 2008, Helmut Schmidt Universität Hamburg, 16.7.2008.
Haasdonk, B., Reduced Basis Methods for Parametrized Evolution Problems. JP-Conference, Universität Stuttgart, 27.5.2008.
Haasdonk, B., Reduced Basis Methods for Model Reduction of Parametrized Evolution Schemes. Oberseminar Angewandte Mathematik, Universität Münster, 15.1.2008.
Haasdonk, B., Ohlberger, M., Basis Construction for Reduced Basis Methods with Adaptive Parameter Grids. International Conference on Adaptive Modeling and Simulation ADMOS 2007, Göteborg, 24.10.2007
Haasdonk, B., Ohlberger, M., Rozza, G., Reduced Basis Method for Evolution Schemes with Parameter Dependent Explicit Operators. Chemnitz FEM Symposium, 24.09.2007
Haasdonk, B., Ohlberger, M., Reduced Basis Method for Finite Volume Schemes. Aerospace Computational Design Laboratory Seminar, Massachusetts Institute of Technology, 20.4.2007
Invited Talk: Haasdonk, B., Combining Kernels and Distances. Kernel Combining Workshop, University of Delft, 20.-21.11.2006
Haasdonk, B., Ohlberger, M., Reduced Basis Method for Parametrized Evolution Equations. PEMSIM 2006, WIAS Berlin, 18.-20.9.2006 (abstract)
Haasdonk, B., Transformation Knowledge in Pattern Analysis with Kernel Methods. FDM-Seminar, University of Freiburg, 23.6.2006
Haasdonk, B., Invariance in Kernel Methods - Distance and Integration Kernels. Departement Informatik, University of Basel, Switzerland, 22.4.2005
Haasdonk, B., Invariance in Pattern Analysis with Kernel Methods. FhG-IPSI, Darmstadt, 15.4.2005
Haasdonk, B., Invariance in Kernel Methods - Distance and Integration Kernels. Machine Learning, Support Vector Machines, and Large Scale Optimization Workshop, Schloss Thurnau, 16.-18.3.2005
Haasdonk, B., Feature Space Interpretation of SVM with Indefinite Kernels. Oberseminar Bildverarbeitung, Computersehen und Computergraphik, University of Freiburg, 21.7.2003
Haasdonk, B., Invariance Knowledge in Kernel Functions. MPI for Biological Kybernetics, 22.1.2003
Haasdonk, B., Invariance in Kernel Functions, Minerva School on Vision and Image Science, Schloss Dagstuhl, 7.-9.10.2002
Haasdonk, B., Convergence of a Staggered Lax-Friedrichs-Scheme on Unstructured 2D Grids. Workshop on Finite-Volume Methods, Unversity of Freiburg, 4.-5.12.2000
Haasdonk, B., h-p Multiresolution Visualization of Adaptive Simulations. International Springschool on Visualization, Bonn-Röttgen, 20.-24.3.2000
Haasdonk, B., Konvergenz eines Staggered-Lax-Friedrichs-Verfahrens auf unstrukturierten 2D Gittern. Oberseminar Angewandte Mathematik, University of Freiburg, 1999
Projects
Funded Projects
In charge of a project funded by the Landesstiftung Baden-Württemberg gGmbH, Modellreduktion zur Simulation von Transportprozessen und Anwendungen in Brennstoffzellen, 2007-2008.
In charge of BMBF sub-project for Modellbasiertes Design von Brennstoffzellen und Brennstoffzellensystemen: PEMDesign, 2005-2008.
In charge of BMBF sub-project for ULI, Universitärer Lehrverbund Informatik, 2001-2003.
General Research Projects
In charge of research project Model Reduction with Reduced Basis Methods, since 2005
In charge of research project Invariance in Kernel Methods, 2001-2005
Awards
2007: DAAD-ARC research grant
2006: Admittance to the Eliteprogramm für Postdoktorandinnen und Postdoktoranden of the Landesstiftung Baden-Württemberg gGmbH
2004: Prize in SAS Mining Challenge 2003
2002: Best Paper Presentation Award for the contribution: Bahlmann, C., Haasdonk, B., Burkhardt, H., On-Line Handwriting Recognition with Support Vector Machines - A Kernel Approach. IWFHR-8, 2002. (.ps, .pdf)
2000: Förderpreis 2000 des Verbands der Freunde der Universität Freiburg for the best graduation at the Institute of Mathematics.
Miscellaneous
Participation in the Awarded Exhibition Hightech Underground 2008
Software
Software Packages
KerMet-Tools: MATLAB toolbox for invariant kernel experiments in pattern analysis.
Presto-Box: Scilab toolbox with basic pattern recognition algorithms.
libsvmTL: C++ SVM template library based on libsvm
VisAmp: plattform independent, visually controlled mp3-player
GRAPE: GRAphical Programming Environment for mathematical visualization
DUNE, DUNE-FEM: Distributed and Unified Numerics Environment
Datasets
Distance Matrices: Small collection of proximity data used in the DAGM2004 paper.
Teaching
Lecturer Position
Teaching course Digitale Bildverarbeitung, WS 05/06, SS 2006, WS 06/07, SS 2007, WS 07/08, SS 2008 at the University of Applied Sciences Offenburg, Germany
Lectures
Lecture Modellierung und Simulation von Straßenverkehr, Mathetage, University of Münster, 5.9.2008.
Assisting lecture Einführung in die Numerische Mathematik, WS 07/08
Assisting lecture Wissenschaftliches Rechnen und Anwendungen in der Strömungsdynamik, SS 2006
Assisting lecture Mustererkennung II, SS 2002
Assisting lecture Algorithmen zur digitalen Bildverarbeitung, SS 2000
Assisting lecture Grundlagen der Bilderzeugung und Bildanalyse, WS 00/01, WS 01/02, WS 02/03
Teaching course Introduction into MATLAB, Sommercampus 2004
Teaching course Scientific Computing in C, WS 97/98
Seminars
Oberseminar Angewandte Mathematik, Universität Münster, WS 07/08, SS 2008, WS 08/09
Modellierung und Simulation , WS 08/09
Kernel Methods , WS 08/09
Effiziente numerische Verfahren und Modellreduktion , SS 2008
Mustererkennung mit Support-Vektor-Maschinen (SVM), WS 01/02, WS 02/03
Competitions
Mustererkennung mit Support-Vektor-Maschinen, WS 01/02, WS 02/03
Projects
Coordinating and assisting Softwarepraktikum SS 2001
Lab-Sessions
Teaching Praktikum Numerik für Partielle Differentialgleichungen I WS 08/09
Teaching Praktikum Wissenschaftliches Rechnen WS 07/08, SS 2008
Assisting Bildverarbeitungspraktikum II SS 2003, SS 2004
Theses
Current students:
M. Drohmann, Reduzierte Basis Methode für die Richards Gleichung. Diploma thesis, University Münster, 2008.
Supervised theses:
N. Jung, Reduzierte Basis Methode für die Instationäre Viskose Burgers Gleichung. Diploma thesis, University Freiburg, 2008.
J. Fehr. Automatisierte Modellselektion für Supportvektor-Maschinen. Student thesis, June 2003.
N. Mallig. Transformationswissen in Kernfunktionen für Supportvektor-Maschinen. Master's thesis, August 2003.
H. Stepputtis. Distanz-Substitutions-Kerne für Supportvektor-Maschinen. Student thesis, December 2003.
M. Reisert. Entwicklung von Algorithmen zur Lageinvarianten Merkmalsgewinnung für Drahtgittermodelle. Master's thesis, January 2004.
A. Vossen. Invariante Kernfunktionen Basierend auf Integration über Transformationen. Master's thesis, October 2004. Awarded with the VDI-Förderpreis 2005.
Professional Activities
Scientific Organizations
DMV, German Mathematicians Society
DAGM, German Pattern Recognition Society
IAPR, International Association for Pattern Recognition
DHV, German Association of University Professors and Lecturers
Research Visits
8/2008: University of Manchester, Manchester, UK.
9/2007: University of Manchester, Manchester, UK.
4/2007-7/2007: Massachusetts Institute of Technology, Cambridge, USA.
4/2003: Max Planck Institute for Biological Kybernetics, Tübingen, Germany.
Workshop/Conference Organization
MoRePaS09, Workshop on Model Reduction of Parametrized Systems
Münster, September 16-18, 2009.
PEMSIM2006, Workshop on Modelling and Simulation of PEM Fuel Cells
Berlin, September 18-20, 2006
Journal Referee Activities
IJMM, International Journal of Modern Mathematics
IEEE TPAMI, Transactions on Pattern Analysis and Machine Intelligence
IEEE TIP, Transactions on Image Processing
IEEE TNN, Transactions on Neural Networks
ACM TOIS, Transactions on Information Systems
JMLR, Journal of Machine Learning Research
Neural Computation
Neurocomputing
Pattern Recognition
Pattern Recognition Letters
IJPRAI, International Journal of Pattern Recognition and Artificial Intelligence
Information Fusion
Signal Processing
IJNS, International Journal of Neural Systems
EJOR, European Journal of Operational Research
SMCB, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SMCC, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
- Aktuelles
- Wochenplan (Kalender)
- Wochenplan (Liste)
- Wochenplan als ical
- Kolloquien
- Stellen FB10
- Stellen extern
- Bibliothek
- Buchrecherche
- Zeitschriftenrecherche
- Preprints
- Mathematical Reviews
- Zentralblatt für Mathematik
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- Veranstaltungen buchen
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