Anh-Dzung Doan

Anh-Dzung Doan

Postdoctoral Researcher

Australian Institute for Machine Learning

Biography

Anh-Dzung (Dzung) Doan is a postdoctoral researcher at the Sentient Satellites Lab of the Australian Institute for Machine Learning. He completed his Ph.D. in the School of Computer and Mathematical Sciences at the University of Adelaide, with the mentorship of Prof. Tat-Jun Chin, Dr. Yasir Latif, and Prof. Ian Reid. His research interests lie in the area of robotic vision, at the intersection of robotics, computer vision, and machine learning.

He has a strong publication record, with 10+ papers in major AI conferences and journals, as well as one US patent pending. His contributions have been recognised with the IEEE RA-L Best Paper Award 2021 and the APRS/IAPR Best Paper Award in DICTA 2019. Additionally, he regularly serves as a reviewer for major AI conferences and journals.

He has held research positions and collaborated with several organisations, including Safran, Niantic, the Australian Centre for Robotic Vision, Temasek Labs@SUTD, the Japan Advanced Institute of Science and Technology, and FIT@HCMUS.

Here is my resume (1-page) and CV (full)

Interests
  • Computer Vision
  • Machine Learning
  • Robotics
Education
  • Ph.D. in Computer Science, 2022

    The University of Adelaide

  • B.Sc. (Hons) in Information Technology, 2013

    Vietnam National University - HCMC (University of Science)

Publications

Patent

Repeatability predictions of interest points
Dung Anh Doan, Daniyar Turmukhambetov, Soohyun Bae
US Patent Application Number 17730555

Awards

NASA
3rd place & an Innovation award in NASA Space Robotics Challenge
Lead the development of a localization method for rover navigation.
See certificate
The University of Adelaide
University of Adelaide International Wildcard Scholarship
Full Ph.D. scholarship: 100% tuition fee, living allowance for 3 years, and other allowances (insurance, relocation allowance, thesis allowance, etc)
See certificate
Vietnam National University
1st Prize - The Award for Excellent Research
See certificate
University of Science
Chancellor’s Award for Excellent Achievement in Research
See certificate

Mentorship

I co-supervise following Ph.D. students
  • Andrew Du - Topic: Edge domain adaptation
  • Ryan Faulkner - Topic: Diffusion models for LiDAR
  • Tam Nguyen - Topic: Neuromorphic computing for robust fitting
  • Anh Vu Nguyen - Topic: Active learning for streaming data

Services

Conference reviewer: ICRA, IROS, CVPR, ICCV, ECCV, ACCV, ACML, AAAI, DICTA.
Journal reviewer: RA-L, IJRR, TMM, TAI, NCAA, APSIPA, TETCI.

Contact

  • dzungdoan6@gmail.com
  • G07.1, Ground floor, AIML Building, Lot Fourteen, Corner Frome Road and North Terrace, Adelaide, SA 5000