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Resume (English only)
Academic Achievements
- Published multiple papers in EMNLP 2025, ECAI 2025, MM 2025, PR, ICME 2025, and other conferences or journals.
- Received SCEMS Early Career Researcher Award 2024 at La Trobe University.
- Received Australian Pattern Recognition Society (APRS) Early Career Researcher Award 2024 at DICTA2024.
- Invited talk 'Landmark Detection and Medical Applications' at DICTA2024.
Research Experience
- Lecturer (Assistant Professor) at the Department of Computer Science and Information Technology, La Trobe University.
- Machine Learning Research Fellow at Australian Institute for Machine Learning (AIML), The University of Adelaide.
Background
- Research interests in the field of computer vision and deep learning.
- Current research focuses on medical image learning in orthopaedic and ophthalmology, image-based / video-based object retrieval, (ultra) fine-grained image classification, pose estimation, landmark detection, and generative 3D modelling.
- Emerging interests include AI for Agriculture and AI for health, primarily in hyperspectral imaging applications and AI for digital and computational pathology.
Miscellany
- Open to interdisciplinary collaboration.
- Eligible to supervise Honors, Masters, and Doctoral Students.