Nhat-Quang Tran

Dr. Nhat-Quang Tran

Lecturer, IT

Details

  • College: School of Science, Engineering & Technology
  • Department: School of Science,Engineering & Tech
  • Campus: Saigon South Campus Vietnam
  • quang.tran26@rmit.edu.vn

Open to

  • Masters Research or PhD student supervision
  • Collaborative projects

About

Dr. Nhat-Quang Tran is a lecturer at the School of Science, Engineering & Technology (SSET) at RMIT University Vietnam. He holds a Ph.D. in Computer Science from Curtin University, Australia. Dr. Tran has over 10 years of experience in teaching IT courses related to programming, artificial intelligence, machine learning, and deep learning. He has experience and expertise in machine learning and deep learning, especially in computer vision. His passion and current research focus on AI applications that benefit lives. His recent and ongoing projects include agricultural price prediction, smart crop planning, AI for people with health conditions or impairments, and the impact of AI on human cognitive abilities.

Research fields

  • 4602 Artificial intelligence
  • 4611 Machine learning
  • 461103 Deep learning

UN sustainable development goals

  • 11 Sustainable Cities and Communities
  • 12 Responsible Consumption and Production
  • 3 Good Health and Well Being

Academic positions

  • Deputy Head of Department of Artificial Intelligence
  • Ho Chi Minh City University of Technology and Education
  • Faculty of Information Technology
  • Ho Chi Minh City, Vietnam
  • 2020 – Present
  • Lecturer
  • Ho Chi Minh City University of Technology and Education
  • Faculty of Information Technology
  • Ho Chi Minh City, Vietnam
  • 2018 – Present

Degrees

  • Ph.D, Computer Science
  • Curtin University
  • Australia
  • 2013 – 2017
  • Bachelor Degree Level, Information Technology
  • University of Technical Education
  • Vietnam

Supervisor projects

  • FaRMIT – A Vietnamese Foundation Model for Agricultural Forecasting
  • 2 Apr 2025

Teaching interests

- Artificial Intelligence
- Machine Learning
- Deep Learning

Research interests

- Artificial Intelligence
- Machine Learning
- Deep Learning