Summary
Su Yan is currently a Postdoctoral Research Associate working on in vivo super-resolution ultrasound localisation microscopy funded by BBSRC in the group of Ultrasound Laboratory for Imaging and Sensing (ULIS), advised by Prof Mengxing Tang. His research interests include inverse problems, biomedical imaging, super-resolution ultrasound localisation microscopy, Finite Rate of Innovation (FRI) sampling theory, dictionary learning, machine learning, MA-XRF spectral deconvolution, and MA-XRF spatial super-resolution.
Su obtained his PhD in the Communication and Signal Processing (CSP) Group in the Department of Electrical and Electronic Engineering at Imperial College London. He was working with Art Through the ICT Lens (ARTICT) research group on image processing for art investigation under the supervision of Prof Pier Luigi Dragotti. He received his MSc degree in Communication Engineering with Distinction from The University of Manchester and BEng degree in Communication Engineering from Jilin University.
Check Su's Google Scholar and ResearchGate pages.
News
2020/09 Please check the video lecture: "When Art meets Science" given by Prof Dragotti.
2020/02 We uncover hidden drawings beneath Leonardo's 'The Virgin of the Rocks' masterpiece. Please check the article and video!
Publication
Su Yan, Jun-Jie Huang, Herman Verinaz-Jadan, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti, "A Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Paintings," in IEEE Transactions on Computational Imaging, DOI: 10.1109/TCI.2023.3288343.
Su Yan, Herman Verinaz-Jadan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti, "Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece.
Barak Sober, Spike Bucklow, Nathan Daly, Ingrid Daubechies, Pier Luigi Dragotti, Catherine Higgitt, Jun-Jie Huang, Aleksandra Pižurica, Wei Pu, Suzanne Reynolds, Miguel R. D. Rodrigues, Carola-Bibiane Schönlieb, Su Yan, "Revealing and Reconstructing Hidden or Lost Features in Art Investigation," in IEEE BITS the Information Theory Magazine, DOI: 10.1109/MBITS.2022.3207125
Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti, "When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction from Macro X-ray Fluorescence Data," in IEEE Transactions on Computational Imaging, DOI: 10.1109/TCI.2021.3102820.
Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti, "Revealing Hidden Drawings in Leonardo's 'The Virgin of the Rocks' from MACRO X-RAY Fluorescence Scanning Data through Element Line Localisation," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain. Oral presentation. Nominated for Best Student Paper Award.