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Department of Pure Mathematics and Mathematical Statistics

 

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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: \bigstarApplied Mathematics \bigstar Computational Mathematics \bigstar Inverse problems \bigstar  Image Analysis  \bigstar Graph Learning \bigstar Machine Learning.

 

Publications

Peekaboo-Where are the Objects? Structure Adjusting Superpixels
G Maierhofer, D Heydecker, AI Aviles-Rivero, SM Alsaleli, CB Schonlieb
– Proceedings - International Conference on Image Processing, ICIP
(2018)
00,
3693
Robust cardiac motion estimation using ultrafast ultrasound data: a low-rank topology-preserving approach.
AI Aviles, T Widlak, A Casals, MM Nillesen, H Ammari
– Physics in Medicine and Biology
(2017)
62,
4831
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach.
AI Aviles, SM Alsaleh, JK Hahn, A Casals
– IEEE transactions on haptics
(2016)
10,
431
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Room

F0.08a

Telephone

01223 760377