Dr Jiyang Jiang
Education
- PhD in Psychiatry (UNSW, 2016)
- Master of Professional Engineering in Telecommunications (USYD, 2010)
Dr. Jiyang Jiang is a Lecturer / Research Fellow at Centre for Healthy Brain Ageing, UNSW Psychiatry and Mental Health. His research interests include cerebrovascular disease, vascular cognitive impairment and dementia, and vascular contributions to Alzheimer's Disease. His studies applied novel MRI techniques to understand the mechanisms of brain vascular lesions. Dr. Jiang completed his PhD in Psychiatry degree from UNSW (2016). He also hold a Master of Professional Engineering (USYD, 2010) and a Bachelor of Engineering (2008) degrees. He was awarded William H. Gates Sr. Fellowship from the AD Data Initiative in 2023.
Meet Our Researcher
Click here to read Dr Jiyang Jiang's ‘Meet Our Researcher’ interview
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- William H. Gates Sr. Fellowship from the AD Data Initiative (2023 - 2025)
- 2020 Centre for Healthy Brain Ageing (CHeBA) Publication Award (Early Career category)
- 2019 Dementia Centre for Research Collaboration (DCRC) Travel Award
- 2015 Chinese Government Award for Outstanding Student Abroad, China Scholarship Council
Publications
Full publication list on Google Scholar
Full publication list on Scopus
Software packages
Research Interests
- Cerebrovascular lesions in ageing
- Lesion segmentations using machine learning techniques (convolutional neural network, recurrent neural network)
- Imaging biomarkers for vascular cognitive impairment and dementia
- Brain structural and functional changes in ageing
Contributions to Research Community
- I published a software package for neuroimaging data post-processing, called CHeBA Neuroimaging Software (CNS). It can be downloaded from here. One of the main modules is UBO Detector (see methodology paper) which is a machine learning-based, fully automated pipeline for the segmentation of white matter hyperintensities (WMH). TOolbox for Probabilistic MApping of Lesions (TOPMAL) is an extention of UBO Detector to map WMH lesions to strategic white matter fibre tracts to enable lesion symptom mapping studies (see TOPMAL paper).
Membership in Professional Organisations
- Member, Organization for Human Brain Mapping (2013-)
- Member, Society for Neuroscience (2016-)
- Member, International Society for Magnetic Resonance in Medicine (2017-)
- Member, Alzheimer's Association (2019-)
Editorship and Peer-reviewing
- Review Editor for Frontiers in Aging Neuroscience
- Guest Editor for the research topic 'Cerebrovascular Diseases and Neuropsychiatric Disorders in Ageing' for the journal Frontiers in Psychiatry.
- Peer-reviewer for a number of scientific journals, including Neuroimage, Human Brain Mapping, Neurobiology of Aging, Neuroimage Clinical, Journal of Gerontology: Biological Sciences, Journal of Neurological Sciences, etc.
- Member of abstract review team for 2019 Alzheimer's Association International Conference (AAIC), invited by the Scientific Program Committee's Neuroimaging workgroup.
My Research Supervision
- current
- joint supervisor
- Abdullah Alqarni (PhD candidate)
- Mohammed Alghamdi (PhD candidate)
- Shizuka Hayashi (PhD candidate)
- secondary supervisor
- Jing Du (PhD candidate)
- Chao Dong (PhD candidate)
- Ellen Wang (Honours; School of Mathematics and Statistics, Faculty of Science, UNSW)
- joint supervisor
- completed
- primary supervisor
- Keshuo Lin, Honours (School of Computer Science and Engineering, Faculty of Engineering, UNSW), 2021
- primary supervisor