Dirk Lorenz
Scholar

Dirk Lorenz

Google Scholar ID: Tn43QDUAAAAJ
Professor of Applied and Industrial Mathematics at Universität Bremen
Applied AnalysisInverse ProblemsMathematical Image ProcessingConvex optimization
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Citations & Impact
All-time
Citations
2,134
 
H-index
24
 
i10-index
44
 
Publications
20
 
Co-authors
0
 
Contact
Emaild.lorenz@uni-bremen.de
Publications
1 items
Why the noise model matters: A performance gap in learned regularization
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Research Projects: Sparsity and Compressed Sensing for Inverse Problems (June 1, 2008 - May 31, 2011), BMBF-INVERS: Regularization of inverse convolution equations in Besov scales (October 1, 2007 - June 30, 2010), BMBF-INVERS: Deconvolution vs. Shrinkage: Mathematical Methods for Improved Peak Detection (October 1, 2007 - June 30, 2010), Parameter Optimization for High-Content Analysis (December 1, 2005 - September 30, 2007), DFG-SPP 1114: Wavelet-shrinkage in image processing - an investigation of connections and equivalences (October 1, 2002 - September 30, 2004)
  • - Leadership of Projects: #MOIN - LC-MS Peak Analyzer (May 1, 2024 - July 31, 2025), Automated data-driven damage detection (October 1, 2023 - September 30, 2026), Training Data Driven Experts in Optimization (June 1, 2020 - December 1, 2024), Mathematics for machine learning methods for graph-based data with integrated domain knowledge (April 1, 2020 - December 31, 2023), Sparsity and Compressed Sensing for Inverse Problems (June 1, 2008 - May 31, 2011)
Research Experience
  • - 2002-2004, PhD student at AG Technomathematik, ZeTeM
  • - 2004-2006, Postdoc in the SCiE group
  • - March to August 2006, Postdoc at the Department of Electrical Engineering, Technion, Haifa (EU HASSIP network scholarship), Host: Prof. Y.Y. Zeevi
  • - 2006-2009, Postdoc at AG Technomathematik, ZeTeM
  • - April 2009 to September 2023, Professor at the Institute for Analysis and Algebra, TU Braunschweig
  • - October 2023 to present, Professor at the Center for Industrial Mathematics, Uni Bremen
Education
  • - 1997-2002, University of Bremen, Bachelor in Mathematics, Physics, and Philosophy
  • - August 2002, Diploma in Mathematics, Thesis: 'Methods of Multiscale Smoothing'
  • - 2002-2004, PhD student at the AG Technomathematik, ZeTeM
  • - February 2005, PhD in Mathematics, Dissertation: 'Wavelet Shrinkage in Signal & Image Processing - An Investigation of Relations and Equivalences'
Background
  • Research Interests: Inverse Problems, Signal and Image Processing, Optimization, Machine Learning. Professional Field: Industrial Mathematics.
Miscellany
  • Personal interests not provided
Co-authors
0 total
Co-authors: 0 (list not available)