معرفی
Associate Professor Weidong Cai is affiliated with the University of Sydney's School of Computer Science, serving as Director of the Multimedia Lab and Associate Director of the Biomedical & Multimedia Information Technology (BMIT) Research Group. He has held visiting roles at Harvard Medical School and holds a PhD in Computer Science from the University of Sydney. His research focuses on medical image computing, computer vision, machine learning, and computational neuroscience, with over 300 peer-reviewed publications. Dr. Cai leads projects on 3D point cloud processing, label-efficient learning, cross-domain medical image analysis, and neuroimaging computing.
Dr. Cai's educational background includes a PhD from the University of Sydney (2001) and postdoctoral experience at Harvard Medical School (2014). He supervises students in courses like COMP3419 Graphics and Multimedia and COMP5424 Information Technology in Biomedicine. His current research explores cutting-edge topics like 3D neuron reconstruction, multimodal neuroimaging, and AI-driven medical diagnostics.
His research interests span medical imaging, bioinformatics, and computer vision, with a focus on developing algorithms for big data analytics, deep learning, and biomedical applications. Projects include automated neuron tracing, cross-domain adaptation for medical imaging, and geometric deep learning for neuroimaging analysis.
Dr. Cai's students have received numerous awards, including the MICCAI IUGC Grand Challenge (2024) and IEEE ISBI Travel Grants. He serves on editorial boards for journals like IEEE Transactions on Image Processing and Brain Informatics, and co-edits Springer's Brain Informatics & Health book series.
His lab, the Multimedia Lab, collaborates on projects like 3D point cloud applications, label-efficient feature learning, and cross-domain medical image analysis. Research teams include the BMIT group, focusing on biomedical and multimedia technologies.
