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| Name: |
Professor C Schönlieb |
| Organisation: |
University of Cambridge |
| Department: |
Applied Maths and Theoretical Physics |
| Current EPSRC-Supported Research
Topics: |
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Artificial Intelligence
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Computer Sys. & Architecture
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Mathematical Analysis
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Non-linear Systems Mathematics
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Numerical Analysis
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Parallel Computing
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Software Engineering
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Statistics & Appl. Probability
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| Current EPSRC Support |
| EP/V026259/1 | The Mathematics of Deep Learning | (C) |
| EP/W026635/1 | SysGenX: Composable software generation for system-level simulation at exascale | (C) |
| EP/V029428/1 | Combining Knowledge And Data Driven Approaches to Inverse Imaging Problems | (P) |
| EP/T022159/1 | Cambridge Service for Data Driven Discovery (CSD3) - A National Data Intensive Science Cloud for Converged Simulation, AI & Analytics | (C) |
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| Previous EPSRC Support |
| EP/W004445/1 | Revolutionizing Medical Imaging (ReImagine) through Ubiquitous, Low-Dose, Automated Computed Tomography Diagnostic Systems | (C) |
| EP/T017961/1 | Cambridge Mathematics of Information in Healthcare (CMIH) | (P) |
| EP/T003553/1 | Robust and Efficient Analysis Approaches of Remote Imagery for Assessing Population and Forest Health in India | (P) |
| EP/S026045/1 | PET++: Improving Localisation, Diagnosis and Quantification in Clinical and Medical PET Imaging with Randomised Optimisation | (P) |
| EP/P020259/1 | Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics | (C) |
| EP/N014588/1 | EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging | (P) |
| EP/M00483X/1 | Efficient computational tools for inverse imaging problems | (P) |
| EP/J009539/1 | Sparse & Higher Order Image Restoration | (P) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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