Active Projects currently in progress in this group

Please add your project here. As is appropriate for an informal collaboration, there is no obligation to list your project here, but it's useful if you do, so others can see what you're working on, and can see the range of activities and expertise in the group. It also helps to prevent conflicts.

• Trying algorithms (SVM, MLP) to distinguish "Simple" from "Complex" radio sources (Laurence Park & Ray Norris)
• Using kNN to measure photo-z (will later extend to other algorithms and to SkyMapper data) (Kieran Luken, Ray Norris, Chris Wolf, Cheng Ong) 
• Using a CNN to identify and cross-match radio and IR images (Katherine James and Ray Norris)
• Finding starting estimates for source extraction (David Wakelin, Jordan Collier, Tim Galvin)
• Gary Segal, David Parkinson, & Ray Norris working on unsupervised approaches for detecting “interestingness”  
• Rosalind Wang ...  
• Using ML to interpret ASKAP monitoring data (Nic Ralph,  Malte Macquarding, Craig Haskins,  & Ray Norris
• Using CNN to identify common Galactic objects (UCHII, PNe etc.) in multi-colour IR data (Cormac Purcell)
• Marine animal segmentation and classification in video footage of ocean from UAVs (Cormac Purcell).

Planned and Umbrella Projects 

• WTF: discovering the unexpected in radio survey data (Ray Norris et al)
• Classifying and cross-identifying galaxies (Ray Norris et al)
• Developing ML techniques to recognise SETI signals in data from ASKAP (Ray Norris et al., in collaboration with SETI Institute and IBM Emerging Technology Group) 
• Using a NN to find bent-tail galaxies (Pero Manojlovic & Ray Norris)