Dongang Wang

Dongang Wang is a Research Fellow at the Brain and Mind Centre, University of Sydney since 2019, holding a PhD in Medicine and Health (2024) specializing in Neuroimaging Analysis using Artificial Intelligence. He earned a Master of Science in Electrical Engineering from Columbia University (2015) and a BEng. His work focuses on integrating AI into clinical neuroimaging workflows, particularly addressing challenges like limited annotations, data heterogeneity, and federated learning in multi-center studies. He contributes to FDA/TGA-approved medical devices through software like VeriScout and iQ-solutions, collaborating with academic and industrial partners.

Research interests include AI-driven clinical validation of MRI/CT tools, lesion segmentation in multiple sclerosis, and improving algorithmic explainability. He has conducted projects under CRC-P and MRFF grants, emphasizing translational research and real-world clinical applicability. He is affiliated with the Sydney Neuroimaging Analysis Centre and maintains an active Google Scholar profile.

His publications span 2018–2025, focusing on federated learning frameworks, deep learning applications in neuroimaging, and clinical validation of AI tools. No awards are explicitly listed, though his work reflects significant contributions to medical AI adoption.