Prof. Dr. Bernard Haasdonk
Prof. Dr.
Bernard Haasdonk Professor for Numerical Mathematics Dean of Studies (Studiendekan Lehramt Mathematik) 


Phone  0049 711 685  65542  
Fax  0049 711 685  65507  
Room  Office 7.328  
Email address  Link  
Address 
University of Stuttgart Institute of Applied Analysis and Numerical Simulation Pfaffenwaldring 57 D70569 Stuttgart Germany 

Consultation  Friday 11:3012:30 (during teaching period WS 17/18) and on appointment. 
Research Interests
For a short overview of my group, see the start page. The following is a list of more detailed and personal interests:

Model Reduction
 Parametrized PDEs
 Parametrized dynamical systems
 Reduced basis methods
 Kernel methods for nonlinear systems
 Adaptive Basis Generation
 PODGreedy procedures

Numerical Analysis
 Evolution schemes, FV, LDGmethods
 Conservation laws
 Variational inequalities
 Inverse Problems
 Optimization with PDE constraints
 Optimal control, Feedback control
 Kernel methods for function approximation / PDEs
 Greedy Procedures

Applications
 Transport problems, fluid dynamics, single/twophase flow
 Obstacle problems, Option Pricing
 Geometry parametrization and optimization
 Multiscale problems
 Elastic multibody systems
 Chemical Master Equation
 Fuel cells, LithiumIon cells

Scientific Computing
 Multiresolution visualization
 Numerical Software development
 Grape/dunerb/RBmatlab/KerMor

Machine Learning
 Kernel methods, kernel design
 Support vector machines
 Kernel Fisher / Mahalanobis Discriminants
 Proximitybased learning

Pattern Recognition
 Feature extraction
 Classifier design
 Invariance
 Image processing
 Handwriting Recognition
 RamanSpectra Recognition
Publications
Recent Preprints and Miscellaneous
Teaching
Further information
Bibliometrical Data
See also my google scholar profile.
Citations: 2498 (Google Scholar)
hindex: 23 (Google Scholar)
i10: 46 (Google Scholar)
Publications: 118 (Google Scholar), 30 (DBLP.unitrier.de), 37 (Zentralblatt MATH)
Erdös Number: 5 (Alfred Schmidt, Zhi Ming Chen, Qiang Du, Vance Faber, Paul Erdös)
Funded Projects
Principal Investigator (with Jun.Prof. Dr. J. Fehr) in a project funded by the DFG: Certified Model Reduction for Coupled Mechanical Systems, 20172019.
Principal Investigator in a project funded by the DFG within the SimTech Cluster of Excellence: Feedback Control of Parametric PDEs with Reduced Basis Surrogate Models, 20142017.
Principal Investigator in a project funded by the Baden Württemberg Stiftung gGmbH, MWKBW (Juniorprofessorenprogramm): Maschinelles Lernen zur Simulationsbasierten Modellreduktion, 20102013.
Principal Investigator in a project funded by the DFG within the SimTech Cluster of Excellence (JPAnschubprojekt): KerMor: Kernel Methods for Model Order Reduction of Biochemical Systems. , 20102012.
Principal Investigator in a project funded by the DFG within the SimTech Cluster of Excellence: RBEvolOpt: Reduced Basis Modelling of HigherOrder Evolution Systems and Application in Optimisation, 20092014.
Principal Investigator (with M. Ohlberger) in a project funded by the DFG: Reduzierte Basis Methoden zur Modellreduktion für Nichtlineare Parametrisierte Evolutionsgleichungen, 20092012.
Organizer (with M. Ohlberger, T. Tonn and K. Urban) in a workshop funded by the DFG: MoRePaS 09, Model Reduction of Parametrized Systems, Unversity of Münster, September 1618, 2009.
Principal Investigator in a project funded by the Landesstiftung BadenWürttemberg gGmbH: Modellreduktion zur Simulation von Transportprozessen und Anwendungen in Brennstoffzellen, 20072009.
Principal Investigator (with E. Pekalska) in a project funded by the DAAD: Indefinite Kernel Methods and Learning in General Proximity Spaces , 20072008.
In charge of BMBF subproject for Modellbasiertes Design von Brennstoffzellen und Brennstoffzellensystemen: PEMDesign, 20052008.
In charge of BMBF subproject for ULI, Universitärer Lehrverbund Informatik, 20012003.
2009: Best Paper Award for the contribution: Haasdonk, B., Pekalska, E., Classification with Kernel Mahalanobis Distances. Proc. of 32nd. GfKl Conference, Advances in Data Analysis, Data Handling and Business Intelligence, 2008.
2007: DAADARC research grant
2006: Admittance to the Eliteprogramm für Postdoktorandinnen und Postdoktoranden of the Landesstiftung BadenWürttemberg gGmbH
2004: Prize in SAS Mining Challenge 2003
2002: Best Paper Presentation Award for the contribution: Bahlmann, C., Haasdonk, B., Burkhardt, H., OnLine Handwriting Recognition with Support Vector Machines  A Kernel Approach. IWFHR8, 2002. (.ps, .pdf)
2000: Förderpreis 2000 des Verbands der Freunde der Universität Freiburg for the best graduation at the Institute of Mathematics.
Professional Activities
DAGM, German Pattern Recognition Society
IAPR, International Association for Pattern Recognition
DHV, German Association of University Professors and Lecturers
WiRBaWü, Research network for scientific computing in BadenWürttemberg.
Research Visits
10/2009: University of Manchester, Manchester, UK.
8/2009: Ecole Polytechnique Lausanne, Lausanne, Switzerland.
8/2008: University of Manchester, Manchester, UK.
9/2007: University of Manchester, Manchester, UK.
4/20077/2007: Massachusetts Institute of Technology, Cambridge, USA.
4/2003: Max Planck Institute for Biological Kybernetics, Tübingen, Germany.
Workshop/Conference Organization
Stuttgart, Germany, May 22–25, 2018
Vienna, Austria, February 21–23, 2018
Stuttgart, Germany, March 30 – April 1, 2016
Ankara, Turkey, September 13–18, 2015.
Salt Lake City, Utah, March 14–18, 2015
MFO, Oberwolfach, November 23–29, 2014
Salt Lake City, Utah, June 23–27, 2014
GAMM 2013, Minisymposium on "Model Order Reduction" at the 89th Annual GAMM Conference
Novi Sad, Serbia, March 1822, 2013.
Boston, MA, USA, February 25  March 1, 2013
IANS Miniworkshop on "Minimum Energy Problems",
Stuttgart, Germany, August 1718, 2012.
MATHMOD 2012, Minisymposium on "Model Order Reduction" at the 7th Vienna International Conference on Mathematical Modelling
Vienna, Austria, February 1517, 2012.
CEMRACS 2011, SimTech Workshop on "Current Trends in Computational Fluid Mechanics"
Marseille, France, August 2224, 2011.
SIAM CSE 2011, MiniSymposium on "Model Reduction of Nonlinear and Parametrized Problems"
Reno, Nevada, February 28March 4, 2011.
Workshop on Reduced Basis Methods,
Ulm, December 78, 2010.
ECCOMAS CFD 2010, MiniSymposium on "Model Reduction in Computational Fluid Dynamics"
Lisbon, June 1417, 2010.
MoRePaS 09, Workshop on Model Reduction of Parametrized Systems
Münster, September 1618, 2009. (successful DFG funding)
PEMSIM2006, Workshop on Modelling and Simulation of PEM Fuel Cells
Berlin, September 1820, 2006
Journal Referee Activities
SISC, SIAM Journal on Scientific Computing
SINUM, SIAM Journal on Numerical Analysis
ESAIM M2AN, Mathematical Modelling and Numerical Analysis
CRAS, Comptes Rendus de l'Acadämie des Sciences
MCMDS, Mathematical and Computer Modelling of Dynamical Systems
ZAMM, Journal of Applied Mathematics and Mechanics
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
IEEE TPDS, Transactions on Parallel and Distributed Systems
JMLR, Journal of Machine Learning Research
Neural Computation
Neurocomputing
Pattern Recognition
Pattern Recognition Letters
Pattern Analysis and Applications
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
TFS, IEEE Transactions on Fuzzy Systems
CES, Chemical Engineering Science
Software
RBMatlab: MATLAB toolbox for Reduced Basis Methods and Model Order Reduction
DUNE, DUNEFEM, DUNERB: Distributed and Unified Numerics Environment
KerMetTools: MATLAB toolbox for invariant kernel experiments in pattern analysis.
PrestoBox: Scilab toolbox with basic pattern recognition algorithms.
libsvmTL: C++ SVM template library based on libsvm
VisAmp: plattform independent, visually controlled mp3player
GRAPE: GRAphical Programming Environment for mathematical visualization
Datasets
Distance Matrices: Small collection of proximity data used in the DAGM2004 paper.