Imperial College London

MrSuYan

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate
 
 
 
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Contact

 

s.yan18

 
 
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Location

 

805Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Su Yan is a PhD student in the Communication and Signal Processing (CSP) Group in the Electrical and Electronic Engineering Department at Imperial College London. He is 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. His research interests include Finite Rate of Innovation (FRI) sampling theory, inverse problems, dictionary learning, machine learning and MA-XRF spectrum deconvolution.

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


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 YanJun-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.