Recent Grants and Projects (selected):

• Maurice Pagnucco, Yang Song, Gerhard Lakemeyer, Contextualised Commonsense Reasoning for Human Behaviour Analysis, ARC Discovery Project (DP260100699). Amount: $621,920 (2026-2029).
• Yang Song, Maurice Pagnucco, Generative AI Hallucination, NVIDIA Academic Grant Program, 2026. 
• Liu, D., Lingard, H., Lin, C.T., Pagnucco, M., Wilkinson, S., Wu, P., Sankaran, S., Shen, J.X., Fini, A., Sammut, C., Sheng, D., Dissanayake, G., Song, Y., Wang, C., Wong, K.W., Barati, K., et al., ARC Research Hub for Human-Robot Teaming for Sustainable and Resilient Construction (IH240100016). Amount: $5,000,000 (2024-2030).
• A. Di Ieva, Y. Song, S. Liu, J. Magnussen, B. Liquet, Computational analysis and Artificial Intelligence in brain tumour imaging: towards the augmented diagnostics of the future, NHMRC Ideas Grant (2020035). Amount: $1,556,663. (2023-2027). 
• M. Harley, Y. Song, I. Razzak, R. Brander, T. Walsh, A. Peden, J. Lawes, S. Daw, A smartphone rip-detection tool to improve rip current awareness, ARC Linkage Project (LP220200780). Amount: $342,924 (2023-2026). 
• Yang Song, Maurice Pagnucco, Interactive Concept Learning for Debiasing in Biomedical Imaging, Google 2023 Award for Inclusion Research. Amount: US$60,000 (since 2023). 
• Del Favero, D., Pagnucco, M., Scott-Mitchell, M., Bednarz, T., Thurow, S., Yip, A., Terracini, L., and Rivers, G. Transforming Rehearsal Design Using an Interactive Spatial Aesthetic, ARC Linkage Project (LP190100563). Amount: $562,000 (2020-2025).
• Yang Song, Deep Weak Learning for Morphology Analysis of Micro and Nanoscale Images, ARC Future Fellowship (FT190100197). Amount: $735,000 (2020-2025).
• Yang Song, Discriminative detection and quantification of cancer imaging biomarkers, ARC Discovery Early Career Researcher Award (DE150101655). Amount: $297,000 (2015-2018).