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I am looking for talented students willing to do a PhD in the area of signal processing, computational imaging and model-based deep learning. In particular, we have opportunities for students with home-fees status for research in the area of machine learning for imaging inverse problems.

• Sparsity and Deep Neural Networks: a Match Made in Heaven, UCL, UK, February 2022
• New Sparse Sampling Methods: Time-based Sampling and Sampling along Trajectories One World Signal       Processing Seminars, December 2021
• Deep Dictionary Learning Approaches for Image Super-Resolution Cambridge University, March 2020
• Timing is everything: Sparse Sampling based on Time-Encoding Machines, plenary at SPARS conference, July 2019             
  

• Sensing the real world: Sparse Sampling meets Strang-Fix and Baron de Prony, Gottingen University, 16 December 2016.
  

• J.J. Huang and P.L. Dragotti,  "WINNet: Wavelet-inspired invertible network for image denoising", IEEE Transactions on Image Processing", 2022 (open access)
• P. Song et al."Light-field Microscopy for optical imaging of neural activity: when model-based methods meet data-driven approaches" IEEE Signal Processing Magazine, vol 39 March 2022 (arxiv version here).
• R. Alexandru, T. Blu and P.L. Dragotti, "Diffusion SLAM: Localising diffusion sources from samples taken by location-unaware mobile sensors", IEEE Transactions on Signal Processing, 2021
• Y. Su et al. "When de Prony met Leonardo: An automatic algorithm for chemical element extraction from macro X-Ray Fluorescence Data", IEEE Transactions on Computational Imaging, vol.7, 2021.
• X.Deng and P.L. Dragotti, Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.43 (10), October 2021.
• J. Huang and P.L. Dragotti, Learning Deep Analysis Dictionaries for Image Super-Resolution, IEEE Transactions on Signal Processing, vol. 68, pages: 6633 - 6648, 2020
• R. Alexandru and P.L. Dragotti,Reconstructing classes of non-bandlimited signals from time encoded information, IEEE Transactions on Signal Processing, pp. 747-763, vol. 68, year 2020
  
• X. Deng, Ren Yang, Mai Xu and P.L. Dragotti, Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution, ICCV 2019, Seoul, Korea, November 2019, video
• Deng and P.L. Dragotti, Deep Coupled ISTA Network for Multi-modal Image Super-Resolution, IEEE Transactions on Image Processing, pp 1683-1698, vol.29, Year 2020. Software code

• Wavelet-domain style transfer for Single-Image Super-Resolutio
• Photo-Realistic Image Completion
• ABLE algorithm in action
• Estimation of diffusion sources using sensor networks
• Light-Field Interpolation
• Super-resolution of the moon

• "AI may have a thing or two to learn from our imperfect brains", Forbes
  
• An article from Le Temps, Geneva
• Video from NewScientist.
• Wavelet Footprints on IEEE Spectrum