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. 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 ~20 papers in top AI conferences and journals (e.g., NeurIPS, CVPR, ICCV, ECCV, RA-L, ICRA, etc). His contributions have been recognised with the IEEE RA-L Best Paper Award 2021 and the APRS/IAPR Best Paper Award in DICTA 2019.

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

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)

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).
The scholarship was awarded on academic merit and research potential. Extra-curricular achievements were not considered.
See certificate
Vietnam National University
1st Prize - The President’s Research Excellence Award
See certificate
University of Science
The Chancellor’s Research Excellence Award
See certificate
University of Science
The Chancellor’s Academic Excellence Award
See certificate

Mentorship

Current
  • Tam Ngoc-Bang Nguyen (Ph.D.) - Topic: Neuromorphic computing for combinatorial optimization.
  • Ryan Faulkner (Ph.D.) - Topic: Diffusion models for LiDAR generation.
Past
  • Andrew Du (Ph.D.) - Topic: Edge domain adaptation. Now Lead AI Engineer in SmartSat CRC.
  • Tianjiao Jiang (Master) - Topic: Federated learning for visual place recognition. Now Ph.D student in The University of Adelaide with a full scholarship.

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