Researcher

Dr Jiyang Jiang

Keywords

Field of Research (FoR)

Biography

Dr. Jiyang Jiang is a researcher in neuroimaging and brain ageing. He is currently appointed as a Postdoctoral Research Fellow at Centre for Healthy Brain Ageing (2016-). Dr. Jiang completed a 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 has broad research interests in neuroimaging and ageing brains, including brain strucutral and...view more

Dr. Jiyang Jiang is a researcher in neuroimaging and brain ageing. He is currently appointed as a Postdoctoral Research Fellow at Centre for Healthy Brain Ageing (2016-). Dr. Jiang completed a 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 has broad research interests in neuroimaging and ageing brains, including brain strucutral and functional network characteristics in cognitive reserve, imaging neuroinflammation, and application of machine learning in neuroimage segmentations and disease prediction.

 

 


My Qualifications

Education

  • PhD in Psychiatry (UNSW, 2016)
  • Master of Professional Engineering in Telecommunications (USYD, 2010)
  • B.Eng in Mechtronics (BISTU China, 2008)

My Awards

  • 2019 Dementia Centre for Research Collaboration (DCRC) Travel Award
  • 2015 Chinese Government Award for Outstanding Student Abroad, China Scholarship Council

My Research Activities

Publications

Full publication list on Google Scholar

Full publication list on Scopus

 

Software packages

My GitHub

 

Research Interests

  • Cerebrovascular lesions in ageing
  • Lesion segmentations using machine learning techniques (convolutional neural network, recurrent neural network)
  • Magnetic partical imaging in ageing brains

 

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-)

 

Peer-reviewing

  • 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


Supervision keywords


Areas of supervision

  • Structural and functional neuroimaging
  • Brain ageing and dementias
  • Application of machine learning techniques to medical image processing

Currently supervising

  • 1 PhD as joint supervisor (equivalent to primary supervisor)
  • 3 PhDs as secondary supervisor
  • 2 Research Assistants
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Location

Level 1, AGSM building
UNSW (Kensington campus)
Sydney, NSW
Australia

Contact

+61 (2) 9385 0461