Mathematik und Informatik
© FB 10

Prof. Dr. Mario Ohlberger, Angewandte Mathematik Münster: Institut für Analysis und Numerik

Investigator in Mathematics Münster

Private Homepagehttps://www.uni-muenster.de/amm/ohlberger
CV
04/2007-Professor (W3) für Angewandte Mathematik am Institut für Numerische und Angewandte Mathematik der WWU Münster
01/2003-06/2003Postdoctoral research associate, University of Maryland, USA
04/2002-03/2007Assistant Professor, Freiburg University
02/1997-03/2002Research Assistant, University of Freiburg
07/1990-06/1991Military service
Research InterestsNumerical analysis for partial differential equations
Error control and adaptivity for finite element and finite volume schemes
Model reduction for parametrized partial differential equations
Development and analysis of numerical multiscale methods
Software development and scientific computing
Project membership
Mathematics Münster


C: Models and Approximations

C2: Multi-scale phenomena and macroscopic structures
C4: Geometry-based modelling, approximation, and reduction
Current PublicationsKeil Tim, Ohlberger Mario Model Reduction for Large Scale Systems. Large-Scale Scientific ComputingLecture Notes in Computer Science (LNCS), 2022, pp 16-28 online
Keil T, Kleikamp H, Lorentzen R, Oguntola M, Ohlberger M Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. arXiv Vol. 2022, 2022 online
Keil Tim, Ohlberger Mario A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. arXiv Vol. 2022, 2022 online
Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. arXiv [math.NA] Vol. 2204.13454, 2022 online
Keil Tim, Ohlberger Mario Model Reduction for Large Scale Systems. Large-Scale Scientific ComputingLecture Notes in Computer Science (LNCS), 2022, pp 16-28 online
Gavrilenko Pavel, Haasdonk Bernard, Iliev Oleg, Ohlberger Mario, Schindler Felix, Toktaliev Pavel, Wenzel Tizian, Youssef Maha A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. Large-Scale Scientific ComputingLecture Notes in Computer Science (LNCS), 2022, pp 378-386 online
Kleikamp Hendrik, Ohlberger Mario, Rave Stephan Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain. ArXiv Vol. 2203.05833, 2022 online
Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. arXiv [math.NA] Vol. 2204.13454, 2022 online
Brecher C, Buchmeiser MR, Burkert A, Busemeyer MR, Conermann S, Ertl T, Friedrich M, Helmig, R, Hohmann V, Johnston AJ, Kollmeier B, Larkum M, Louis J, Menges A, Morgner U, Müller J, Niessen C, Ohlberger M, Schäffner W, Schmidt P, Schmitz D, Seeger W, Stammer D, Thomas A, Traninger A, Wegener M, Colomb J, Hermann S, Kopsch-Xhema J, Range J, Flemisch B Commitment zu aktivem Daten- und -softwaremanagement in großen Forschungsverbünden: Commitment to active data and software management in large research alliances. Bausteine Forschungsdatenmanagement Vol. 1, 2022, pp 121–123 online
E-Mailmario dot ohlberger at uni-muenster dot de
Phone+49 251 83-33775
FAX+49 251 83-32729
Room120.010
Secretary   Sekretariat Wernke
Frau Silvia Wernke
Telefon +49 251 83-35052
Fax +49 251 83-32729
Zimmer 120.001
AddressProf. Dr. Mario Ohlberger
Angewandte Mathematik Münster: Institut für Analysis und Numerik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
Deutschland
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