Researcher

Dr Phi Vu Tran

Keywords

Fields of Research (FoR)

Adaptive Agents and Intelligent Robotics, Distributed and Grid Systems

Biography

Dr Vu Phi Tran received the B.E. degree in Automation and Control Engineering from the HCMC University of Technology and Education, Saigon, Vietnam, in 2010, the M.S. degree in Mechatronics Engineering from Asian Institute of Technology, Bangkok, Thailand, in 2015, and a Ph.D. in the field of aerospace engineering from the University of New South Wales, Canberra, Australia, in 2019. From 2010 to 2012, he was a Lecturer in the Department of...view more

Dr Vu Phi Tran received the B.E. degree in Automation and Control Engineering from the HCMC University of Technology and Education, Saigon, Vietnam, in 2010, the M.S. degree in Mechatronics Engineering from Asian Institute of Technology, Bangkok, Thailand, in 2015, and a Ph.D. in the field of aerospace engineering from the University of New South Wales, Canberra, Australia, in 2019. From 2010 to 2012, he was a Lecturer in the Department of Automation and Control Engineering, HCMC University of Technology and Education, Saigon, Vietnam. Since 2020, he has been a Research Assistant, a Teaching Staff, and a Casual Professional staff at the University of New South Wales, Canberra, Australia.

Vu is a member of the Trusted Autonomy research group within the School of Engineering and Information Technology, UNSW Canberra. Vu publishes in high-impact IEEE Transactions journals (e.g. IEEE/ASME Trans on Mechatronics, Industrial Informatics, and Industrial Electronics) and Elsevier journals  (e.g. Practice Control Engineering, IFAC Journal of systems and control). 

Vu has been a reviewer for numerous high-impact control and robotics journals (e.g. IEEE Trans. on Vehicular Technology, IEEE Trans. on Robotics, and IEEE Trans. on Mans, Systems, and Cybernetics: Systems); in addition to many international conferences.

His current research interests include:

  •      Adaptive and robust control
  •      Non-linear control systems
  •      Consensus and formation control
  •      Neural networks
  •      Fuzzy systems
  •      UAV systems and robotics. 

Projects he is currently undertaking and looking to continue to include:

  • Machine Learning or Deep Learning to generate the desired formation as well as avoid the unexpected obstacles for a group of robots.
  • Auto flight control systems, robust and fast recovery against multiple disturbances.
  • Anti-disturbance controllers.

 


My Grants

- DST project at the University of New South Wales, Canberra.

- AFOSR project at the University of New South Wales, Canberra.


My Awards

- Rockwell Automation Scholarship for “Keeping with Rockwell’s Philosophy of Maintaining the Highest Standards of Quality, Service and Engineering Excellence”.

- “THE HISAMATSU PRIZE” in recognition of the most outstanding academic performance of Mechatronics, AIT, Thailand.

- “UNSW Tuition Fee Scholarship” from the University of New South Wales, Canberra, Australia for my study toward a Doctorate at UNSW Canberra campus.

- "Dean’s Award for Outstanding PhD Theses" from the University of New South Wales, Canberra, Australia for the top 10% of Ph.D. theses examined.

- "T.F.C Lawrence Prize" for the best performance by a graduating research student specializing in Aeronautical Science.

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Location

Autonomous System Laboratory (Building 17, R 131)
School of Engineering and Information Technology, The University of New South Wales, Canberra ACT 2610, AUSTRALIA.