Du Huynh
Scholar

Du Huynh

Google Scholar ID: hAKNZ38AAAAJ
The University of Western Australia
visual trackingshape from motion3D reconstructionmachine learning
Citations & Impact
All-time
Citations
2,874
 
H-index
24
 
i10-index
34
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • She has received 3 best paper awards (ICPR2014, Kenneth Clarke Journal Award 2019, and AusDM2022). Her research has attracted over $3M in funding from the Australian Research Council (1 DP and 2 LPs), local companies, and the Australian Government. She is a Chief Investigator in the WA node for the Australian Centre for Quantum Growth, which has received $18M in government funding (2024-2027). She serves on the Technical Program Committee for many international conferences and holds editorial positions in several journals.
Research Experience
  • After lecturing at Murdoch University for five years, she returned to the University of Western Australia as a Senior Lecturer. She is currently with the Department of CSSE in the School of Physics, Mathematics and Computing.
Education
  • Bachelor's Degree (Honours) in Computer Science: University of Western Australia; PhD in Computer Science: University of Western Australia.
Background
  • Her research interests include Computer Vision, Machine Learning, Object Detection, Visual Tracking, Image Processing, and Pattern Recognition. Her research spans automated on-line analysis in mineral ore processing, video surveillance over constrained networks, 3D human pose recognition from videos, multiple object tracking in videos, pedestrian trajectory prediction, video analytics in intelligent transportation systems, detection and classification of surgical instruments, bone cells, and other small objects from images.
Miscellany
  • Passionate about her teaching, Du Huynh has taken the lead to develop and teach several medium to large units, including Computer Vision, Machine Learning, Graphics and Animation, Software Engineering, Computer Analysis and Visualization, and Java Programming.