Summary
Zhongkang Lu is a Principal Scientist at A*STAR with nearly 30 years of expertise in computer vision, machine learning, and medical image analysis. He leads the technical development of the CTCA image processing pipeline for the flagship APOLLO project, delivering advanced tools for heart and coronary artery segmentation, auto-labeling, and stenosis and plaque grading. His work leverages state-of-the-art architectures including convolutional networks, vision transformers, and point transformers to push the boundaries of cardiovascular imaging. Trained as a PhD in Electrical and Electronics Engineering from Shanghai Jiao Tong University, he blends deep academic rigor with long-term applied research. Based in Singapore, he focuses on translating novel AI models into clinically relevant diagnostics that improve patient outcomes. A detail that often goes unnoticed: he has sustained a multi-decade research trajectory while adapting to rapid shifts in AI paradigms, from traditional CV methods to modern transformer-based approaches.
8 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Shanghai Jiao Tong University