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'.
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
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
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