Projects per year
Personal profile
Research interests
Inverse Problems
Optimization
Machine Learning
Imaging
Education/Academic qualification
Medical Imaging, Doctor of Philosophy, Joint Reconstruction for Multi-Modality Imaging with Common Structure, University College London
May 2012 → Apr 2015
Industrial Mathematics, Master of Science, Sparsity in Geosciences - Sparse Decomposition for Analysis of Sea Floor Pressure Data, Universität Bremen
Sept 2006 → Jan 2012
Keywords
- Inverse Problems
- Imaging
- Machine Learning
- Optimization
- Medical Imaging
- Applied Mathematics
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Collaborations and top research areas from the last five years
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CCP Synergistic Reconstruction for Biomedical Imaging
Ehrhardt, M. (PI) & Wong, H. S. (Researcher)
Science and Technology Facilities Council
1/11/24 → 31/10/26
Project: Research council
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REMODEL - Research Exchanges in the Mathematics of Deep Learning with Applications (Other JeS Guarantee Calls)
Ehrhardt, M. (PI), Budd, C. (CoI) & Campbell, N. (CoI)
1/05/24 → 30/04/28
Project: EU Commission
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Programme Grant: Mathematics of Deep Learning
Budd, C. (PI) & Ehrhardt, M. (CoI)
Engineering and Physical Sciences Research Council
31/01/22 → 30/07/27
Project: Research council
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CCP PETMR 2.0 Synergistic Reconstruction For Biomedical Imaging
Ehrhardt, M. (PI)
Engineering and Physical Sciences Research Council
1/04/20 → 31/03/26
Project: Research council
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RCF on Axial Spondyloarthritis
Ehrhardt, M. (PI) & Oporto Lisboa, L. (Researcher)
Royal United Hospitals Bath NHS Foundation Trust
1/08/24 → 31/07/25
Project: Central government, health and local authorities
Research output
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A geometric integration approach to smooth optimization: foundations of the discrete gradient method
Ehrhardt, M. J., Riis, E. S., Ringholm, T. & Schönlieb, C. B., 31 May 2025, In: IMA Journal of Numerical Analysis. 45, 3, p. 1269-1299 31 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
Ehrhardt, M. J., Kereta, Z., Liang, J. & Tang, J., 31 May 2025, In: Inverse Problems. 41, 5, 053001.Research output: Contribution to journal › Review article › peer-review
Open Access2 Citations (SciVal)86 Downloads (Pure) -
An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning
Salehi, M. S., Mukherjee, S., Roberts, L. & Ehrhardt, M. J., 30 Sept 2025, In: SIAM Journal on Mathematics of Data Science. 7, 3, p. 906-936 31 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal) -
An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
Bogensperger, L., Ehrhardt, M. J., Pock, T., Salehi, M. S. & Wong, H. S., Oct 2025, In: Journal of Mathematical Imaging and Vision . 67, 5, 49.Research output: Contribution to journal › Article › peer-review
Open AccessFile41 Downloads (Pure) -
A Primal-Dual Algorithm for Image Reconstruction with Input-Convex Neural Network Regularizers
Ehrhardt, M. J., Mukherjee, S. & Wong, H. S., 21 Oct 2025, (Acceptance date) In: SIAM Journal on Imaging Sciences.Research output: Contribution to journal › Article › peer-review
Activities
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Adaptive Undersampling in Spectromicroscopy
Ehrhardt, M. (Examiner)
Dec 2024Activity: External examination and supervision › Internal doctoral examination
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Computational Techniques and Imaging Innovations in the Age of AI
Ehrhardt, M. (Organiser)
1 Apr 2025Activity: Academic conferences and events (excluding conference publications) › Conference or panel chair
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Department of Mathematical Sciences (Organisational unit)
Ehrhardt, M. (Advisor)
Aug 2024 → …Activity: Other contribution to the discipline › Other advisory role
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Deep Learning and Inverse Problems
Ehrhardt, M. (Chair)
7 Jul 2025Activity: Academic conferences and events (excluding conference publications) › Major conference organising role
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Unsupervised Deep-learning Methods for Low-dose Computed Tomography Reconstruction
Ehrhardt, M. (Examiner)
Jun 2025Activity: External examination and supervision › External examination