Director of Academic Program - Postgraduate ICT, Associate Professor in Visual Analytics, Western Sydney University
Dr. Quang Vinh Nguyen is associate professor in Visual Analytics whose research focuses on finding effective visualisations to support the analysis of large and complex datasets, particularly genomic, flow cytometry and biomedical data, graph and relational data and other application-based data. For his academic career, he has authored and co-authored more than 100 refereed publications, including edited book, book chapters, journals and conference papers relating to this research field. He has received multiple research funding. He has been successful (co)supervised several research students. His research details are available: http://orcid.org/0000-0002-0815-6224 or https://scholar.google.com.au/citations?user=JXNZ2AEAAAAJ&hl=en
Experience
2021–present
Associate professor, Western Sydney University
Education
2006
University of Technology, Sydney, Doctor of Philosophy in Computing Sciences
Grants and Contracts
2019
Childhood Cancer from the Inside Out: Using Virtual Reality to Create Certainty in Clinical Decisions using Complex Genomics
Role:
CI
Funding Source:
Sony Foundation and Tour de Cure
2017
Oracle Funding Support in Childhood Cancer Research
Role:
CI
Funding Source:
Oracle
2016
"Big Data, Big Impact" Grant, Stage 2 for Project "Deep Learning of Complex Genomics Data for Effective Clinical Decisions"
Role:
CI
Funding Source:
Cancer Institute of NSW
2015
"Big Data, Big Impact" Grant, Stage 1 for Project "Deep Learning of Complex Genomics Data for Effective Clinical Decisions"
Role:
CI
Funding Source:
Cancer Institute of NSW
2014
"Big Data, Big Impact" Grant, Stage 1 for Project "Generating Actionable Knowledge from Complex Genomic Data for Personalised Clinical Decisions"
Role:
CI
Funding Source:
Cancer Institute of NSW
2014
For Internal and small Grants, please see: http://staff.scem.uws.edu.au/~vinh/research.php
Role:
CI
Funding Source:
Internal
Professional Memberships
Senior member of IEEE
Member of ACM, SIOP, and HISA
Research Areas
Artificial Intelligence And Image Processing (0801)