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Dr Ahmed Karam Eldaly

Lecturer in Computer Vision and Artificial Intelligence (E&R)

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I am accepting highly motivated undergrad/MSc/PhD students, research fellows, and visiting students/scholars with any of the below research intrests/expertise. Please drop me an email if you are interested in working/collaborating with me.

Background

I am a Lecturer (Assistant Professor) in Computer Vision and Artificial Intelligence at the Department of Computer Science, University of Exeter. I am also a Honorary Lecturer in Computer Science at University College London (UCL).

Before that, I was a Research Fellow in Medical Image Analysis at the Centre for Medical Image Computing, Department of Computer Science, Faculty of Engineering Sciences, University College London, working with Daniel C. Alexander. I was part of the Welcome-Leap project, a 45 million USD interdisciplinary project spanning universities in the UK, US, South Africa, and other countries. The project’s objective was to build a fully integrated model and measurement tools for network development to predict critical cognitive abilities before a child’s first birthday. My contribution to the project was developing generic image quality transfer/super-resolution, image reconstruction and uncertainty quantification techniques for low-field magnetic resonance imaging.

Before UCL, I was a Postdoctoral Research associate in Computational Imaging at Heriot-Watt University and the University of Edinburgh, as part of the £4M UDRC project. This project involved four universities, which aimed to develop new signal processing and machine learning tools applicable to both the defence and healthcare sectors.

I was awarded a two-year scholarship by the European Commission to obtain an Erasmus Mundus joint Masters degree in Computer Vision and Robotics (VIBOT). I spent the first semester at Universite de Bourgogne (UB), Le Cresuot, France; the second semester at Universität de Girona, Spain; the third semester at Heriot-Watt University (HWU), Edinburgh, UK, and the final semester with Le2i Laboratory, UB, Dijon, France. In October 2018, I was awarded the PhD in Electrical, Electronic and Computer Engineering jointly with School of Engineering and Physical Sciences, HWU, and The Queens Medical Research Institute, The University of Edinburgh.

Research Interests 

  • Machine learning (Supervised learning, unsupervised learning, deep dictionary learning, etc.)
  • Statistical signal and image processing (Bayesian inference and hierarchical Bayesian models, Markov chain Monte Carlo (MCMC) Methods (Metropolis-Hastings, Gibbs sampler, Partially collapsed Gibbs sampler, Proximal methods, etc.), Optimization-based methods (Alternating direction method of multipliers, Variational Bayes, Coordinate descent, etc.), Sparse representation and dictionary learning)
  • Inverse problems in imaging (Spectral unmixing, deconvolution, restoration, reconstruction, detection, etc.)
  • Medical image and signal analysis (Magnetic resonance imaging (MRI), low-field MRI, optical endomicroscopy, fluorescence microscopy, etc.)
  • Computer vision
  • Uncertainty quantification in imaging

Selected Publications

  1. Ahmed Karam Eldaly, Daniel C. Alexander, ''Bayesian Magnetic Resonance Image Reconstruction and Uncertainty Quantification'' ISMRM & ISMRT, Singapore, May 2024
  2. Seunghoi Kim, Daniel C. Alexander, Ahmed Karam Eldaly, Matteo Figini, Henry F J Tregidgo, ''A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI'' DGM4H,NeurIPS, 2023.
  3. Ahmed Karam Eldaly and Ayman M. Khalifa. ''A General Framework for Hepatic Iron Overload Quantification using MRI''. Elsvier Digital Signal Processing, April 2023.
  4. Ahmed Karam Eldaly, Ming Fing, Angela Di Fulvio, Mike Davies, Stephen McLaughlin, Yoann Altmann, and Yves Wiaux. "Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography." Journal of Imaging 7.10 (2021): 212. 
  5. Ahmed Karam Eldaly, Yoann Altmann, Ahsan Akram, Paul McCool, Antonios Perperidis, Kevin Dhaliwal, and Stephen McLaughlin ''Bayesian Bacterial Detection using Irregularly Sampled Optical Endomicroscopy Images'', Elsevier Medical Image Analysis, June 2019, pp 18-31.
  6. Helen E. Parker, Antonios Perperidis, Ahmed Karam-Eldaly, Yoann Altmann, Kevin Dhaliwal, Robert R. Thomson, Stephen McLaughlin, and Michael G. Tanner "Characterising cross-coupling in coherent fibre bundles", Proc. SPIE 11076, Advances in Microscopic Imaging II, 110761D (22 July 2019);https://doi.org/10.1117/12.2527054 
  7. Ahmed Karam Eldaly, Yoann Altmann, Ahsan Akram, Antonios Perperidis, Kevin Dhaliwal, and Stephen McLaughlin ''Patch-Based Sparse Representation for Bacterial Detection'', The International Symposium on Biomedical Imaging (ISBI), Viniece, Italy, PP 1-5, April 2019.
  8. Savinien Bonheur, Ahmed Karam Eldaly, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin, Antonios Perperidis ''Segmentation and Quantification of Celleular Load Pulmonary Endomicroscopic Images Using Convolutional Neural Networks'', The International Symposium on Biomedical Imaging (ISBI), Viniece, Italy, PP 1-5, April 2019.
  9. Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, and Stephen McLaughlin, ''Deconvolution of Irregularly Subsampled Images'',  IEEE Statistical Signal Processing Workshop, Freiburg, Germany, June 2018. (Matlab codes)
  10. Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstaji, Tushar R. Choudhary, Kevin Dhaliwal, and Stephen McLaughlin, "Deconvolution and Restoration of Optical Endomicroscopy Images'', IEEE Transactions on Computational Imaging, March 2017. (Matlab codes)
  11. Antonios Perperidis, Helen Parker, Ahmed Karam Eldaly, Yoann Altmann, Kevin Dhaliwal, Robert Thomson, Michael G. Tanner, and Stephen McLaughlin, ''Characterisation and Modelling of Inter-Core Coupling in Coherent Fibre Bundles'', Journal-Optics Express, 2017.
  12. El-Sayed H Ibrahim, Ayman M Khalifa, Ahmed Karam Eldaly, "The Influence of the Analysis Technique onEstimating Hepatic Iron Content Using Magnetic Resonance Imaging", Journal of Magnetic Resonance Imaging, May 2016 (Full Text).
  13. El-Sayed H Ibrahim, Ayman M Khalifa, Ahmed Karam Eldaly, "MRI T2* Imaging for Assessment of Liver Iron Overload. Study of Different Data Analysis Approaches", Acta Radiologica, Feb 2016 (Full Text).
  14. Ahmed Karam Eldaly, Yannick Benezeth, Virginie Flaus, Christian Duvillard, Alexis Bozorg Grayeli, Franck Marzani, "The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy", MICCAI workshop (Spectral Analysis in Medical Imaging), Oct 2015 (Full Text) (Presentation).

  • Sept. 2013:Aug. 2015 - Erasmus Mundus Joint Masters in Computer Vision and Robotics (VIBOT) - Distinction - (University of Burgundy, France; University of Girona, Spain; and Heriot-Watt University, UK)