![](http://www.damtp.cam.ac.uk/research/cia/files/styles/portrait/public/portraits/ai323.png?itok=2cLWFed_)
My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems. My central research is to develop new data-driven algorithmic techniques that allow computers to gain high-level understanding from vast amounts of data, this, with the aim of aiding the decisions of users. These methods are based on mathematical modelling and machine learning methods.
Keywords: Applied Mathematics
Computational Mathematics
Inverse problems
Image Analysis
Graph Learning
Machine Learning.
Publications
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based
Vertex Embeddings
(2021)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
Semi-Supervised Classification
– IEEE Transactions on Neural Networks and Learning Systems 2022
(2021)
Dynamic spectral residual superpixels
– Pattern Recognition
(2021)
112,
107705
(doi: 10.1016/j.patcog.2020.107705)
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution
– Medical image analysis
(2020)
68,
101941
(doi: 10.1016/j.media.2020.101941)
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
– Medical image analysis
(2020)
68,
101930
(doi: 10.1016/j.media.2020.101930)
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction
– Medical Image Analysis
(2020)
abs/1810.10828,
101933
(doi: 10.1016/j.media.2020.101933)
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification
– Lecture Notes in Computer Science
(2020)
12443 LNCS,
187
(doi: 10.1007/978-3-030-60365-6_18)
Controllable Image Processing via Adaptive FilterBank Pyramid
– IEEE Transactions on Image Processing
(2020)
29,
8043
(doi: 10.1109/TIP.2020.3009844)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
(doi: 10.1109/tgrs.2019.2961599)
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