Dr Kunzi (Winnie) Xie is a postdoctoral researcher at UNSW Canberra Space specialising in applied artificial intelligence and computer vision for real-world sensing systems. Her research focuses on spatio-temporal deep learning, multimodal perception, and predictive modelling in challenging environments, with applications in autonomous sensing, satellite and aerial tracking, and environmental monitoring.

She completed her PhD in computer science and engineering, where she developed weakly supervised and domain-generalizable learning methods for microscopy image analysis. Her current work extends these foundations to defence-relevant and industry-driven problems, where AI systems must operate reliably under noisy, sparse, and resource-constrained conditions. She has designed deployable models for mobile sensing platforms, real-time prediction, and embedded hardware, bridging academic research with operational capability.

Dr Xie has published in leading AI and sensing venues and collaborates with government and industry partners to translate research outcomes into practical systems.