Department of Computing

Nature Inspired Computing and Engineering Projects

Research projects in the Nature Inspired Computing and Engineering group are:

Title	Investigator
Copyright protection and forensics of bootleg museum images	Yaochu Jin, Johann A Briffa
Evolutionary Methods for Generating Hierarchical and Multi-label Classifiers	Yaochu Jin
Fusion of EEG and fMRI; A novel approach based on NMF	Saeid Sanei
General-Purpose Learning Algorithms for Spiking Neural Networks	André Grüning
KTA on Automated Diabetic Retinopathy Screening of Normal Images (DAPHNE)	Hongying Tang
KTA with Alpha-Active Ltd	Matthew Casey, Antony Browne
KTA with Waterfall Solutions Ltd	Matthew Casey
Morphometric Herbarium Image Data Analysis (MORPHIDAS)	Jonathan Clark, Hongying Tang
Optimisation of CFRP Stiffened Panels of Aircraft	Yaochu Jin, Andrew Crocombe
Predictive Modelling of the Social Networks Influencing Obesity	J. Bernadette Moore, Matthew Casey
Putting Computational Models in the Real-World	Matthew Casey
Workshop on Biologically Inspired Information Fusion	Matthew Casey, Paul Sowden , Antony Browne