Yang Song

Yang Song is an ARC Future Fellow and Scientia Associate Professor at the School of Computer Science and Engineering, University of New South Wales (UNSW). She serves as Associate Head of School (Research) and Co-Director of iCinema, focusing on AI and Computer Vision applications for social good.

• Education: BEng in Computer Engineering (Nanyang Technological University, Singapore), PhD in Computer Science (UNSW, 2013)
• Research Areas: Biomedical image analysis, human-centred AI, graph data modeling, neuro-symbolic learning, and AI trustworthiness.

Her work develops domain-specific deep learning models for radiological segmentation, histopathology cancer analysis, and 3D reconstruction. Recent projects address explainability in LLMs, fairness in AI, and human-robot interaction frameworks. With over 200 peer-reviewed publications in top venues like CVPR, MICCAI, and NeurIPS, her research spans biomedical imaging, robotics, and general multimodal AI.

Scientific Awards include:

• 2024: ARC Industrial Transformation Research Hub for Human-Robot Teaming
• 2023: Google Inclusion Research Award
• 2022: NHMRC Ideas Grant for computational brain imaging
• 2021: UNSW Engineering Research Excellence Award
• 2020: Scientia Fellowship (UNSW)
• 2019: ARC Future Fellowship

She supervises 24 current PhD/MPhil students and has graduated 15 advisees, including placements at Harvard University and Siemens Healthineers. Her grants include collaborations with Surf Life Saving Australia and industry partnerships for AI-driven solutions.