The Intelligent Sensing, Analysis and Control Group (ISAC) at the University of Edinburgh aims to advance the research areas of sensing and imaging with miscellaneous tomography modalities, and machine learning techniques for (biomedical/industrial) process analysis. The goal of the research is to improve the observability in both industrial and biomedical processes for enhanced control and fault diagnosis, and address the pressing challenges of efficient utilisation/interpretation of enormous sensing data generated by multiple sensing modalities.
Visiting PhD student Jinxi's paper entitled 'FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in ...
Second year PhD student Zhou Chen's work on 'Hybrid Learning based Cell Aggregate Imaging with Miniature Electrical Impedance Tomography'...
Second year PhD student, Haokun Wang's work entitled 'Machine learning for multiphase flowrate estimation with time series sensing data' w...