- Aug 26, 2019
- 1 min read

Industrial collaboration initiated

Updated: Sep 10, 2019

An industrial partner, LeEngStar Technology Ltd, provided ~£35K to support a PhD project entitled 'machine learning for multi-phase flow characterisation based on massive sensing data'.

Recent Posts

See All

PhD student Jinxi's work on learning based medical imaging accepted by IEEE TMI

Visiting PhD student Jinxi's paper entitled 'FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging' was accepted for publication by IEEE Transactions on M

PhD Zhou's work on cell imaging accepted by IEEE TIM

Second year PhD student Zhou Chen's work on 'Hybrid Learning based Cell Aggregate Imaging with Miniature Electrical Impedance Tomography' was accepted for publication by IEEE TIM. Congratulations Zhou

PhD Haokun's work on multiphase flow measurement accepted by Measurement: Sensors

Second year PhD student, Haokun Wang's work entitled 'Machine learning for multiphase flowrate estimation with time series sensing data' was accepted by Measurement: Sensors journal. Congratulations H