Thuy Nguyen

School: School of Science, Engineering & Technology
Department: Artificial Intelligence
Position: Senior Lecturer
Location: RMIT Saigon South Campus
ORCID: 0000-0002-9358-6201

Thuy Nguyen received her Ph.D. degree in Computer Science from Graz University of Technology, Austria in 2009. She has more than ten years of teaching and research experience in computer science. She is an author and co-author of more than 60 scientific papers and patents.

  • PhD. in Computer Science, Graz University of Technology, Austria, 2009 
  • MSc in Information Technology, Hanoi University of Science and Technology, 2002
  • Certificates and diploma: 
    • Postgrad diploma in Industrial System Engineering, AIT 
    • Certificates in Higher Education Leadership 
    • Certificate in Education Management 
    • Pedagogical certificates

  • Artificial Intelligence 
  • Machine Learning 
  • Data Mining 
  • Practical Data Science 
  • Digital Image Processing
  • Computer Vision

  • Computer Vision 
  • Machine Learning 
  • Data Mining 
  • AI Applications

Selected articles in international peer-reviewed journals (last 5 years):

  • N. T. Duc, N. T. Oanh, N. T. Thuy, T. M. Triet and V. S. Dinh, "ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation," in IEEE Access, vol. 10, pp. 80575-80586, 2022, doi: 10.1109/ACCESS.2022.3195241.
  • N. H. T. Nguyen, S. Perry, D. Bone, H. Le Thanh, M. Xu and T. T. Nguyen, "Combination of Images and Point Clouds in a Generative Adversarial Network for Upsampling Crack Point Clouds," in IEEE Access, vol. 10, pp. 67198-67209, 2022, doi: 10.1109/ACCESS.2022.3182697.
  • Nguyen S An, Phan N Lan, Dao V Hang, Dao V Long, Tran Q Trung, Nguyen T Thuy, Dinh V Sang, "BlazeNeo: Blazing Fast Polyp Segmentation and Neoplasm Detection," in IEEE Access, vol. 10, pp. 43669-43684, 2022, doi: 10.1109/ACCESS.2022.3168693.
  • Nhung Hong Thi Nguyen, Stuart Perry, Don Bone, Ha Thanh Le, Thuy Thi Nguyen*, Two-stage Convolutional Neural Network for Road Crack Detection and Segmentation. Journal Expert Systems With Applications, Elsevier, Vol. 186, 115718, 2021. (*corresponding author)
  • Dinh V. S., Tran Q. Chung, Phan N. Lan, Dao V. Hang, Dao V. Long, Nguyen T. Thuy, AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation. 2021 (In press)
  • Hai Vu, Van Nam Hoang, Thi Lan Le, Thanh-Hai Tran, Thi Thuy Nguyen, A Projective Chirp Based Stair Representation and Detection from Monocular Images and Its Application for the Visually Impaired, Pattern Recognition Letters, 13 Mar. 2020. 
  • Van-Hung Le, Hai Vu, Thuy Thi Nguyen, Thi-Lan Le, Thanh-Hai Tran, GCSAC: Geometrical Constraint SAmple Consensus for Primitive Shapes Estimation in 3-D Point Cloud, International Journal of Computational Vision and Robotics, 2019. Vol.9 No.4, pp.387 – 411.
  • Van-Hung Le, Hai Vu, Thuy Thi Nguyen, Thi-Lan Le and Thanh-Hai Tran, Acquiring qualified samples for RANSAC using geometrical constraints, Pattern Recognition Letters, Volume 102, 15 January 2018, Pages 58-66. 
  • Wang Qiang, Thanh-Tung Nguyen, Joshua Z. Huang, Thuy Nguyen, An Efficient Random Forests Algorithm for High Dimensional Data Classification, International  Journal of Advances in Data Analysis and Classification (ADAC), Springer, December 2018, Volume 12, Issue 4, pp 953–972.


  • Method for the Computer-assisted Recognition of a Specific Object from a Data Volume Based on an Interaction with a User. Patent No.: WO/2010/015488 
  • Fall detection apparatus from video streaming. National Office of Intellectual Property of Vietnam, Patent No. 25669, 2017-2020.

  • Key member, project: “Development of a real-time AI-assisted system to detect colon polyps and identify lesions at high-risk of malignancy during endoscopy”. Funded by VINIF, 2020-2022. 
  • Key member, project: “Research and develop an intelligent system to support the diagnosis of the upper gastrointestinal tract by endoscopic images”. Funded by The National Fund for Research and Development, 2021-2023. 
  • Key member, project: “Improving human action recognition using manifold representation and deep learning from multimodal data”. Funded by Vietnam National Foundation for Science and Technology Development, 2017-2019. 
  • PI, project: “Evaluation of rice seed viability and rice plant growth through image-based phenotype analysis”. Funded by CUD, Belgium – VNUA Vietnam, 2017-2018. 
  • PI, project: “Video summarization”. Funded by industrial sector, 2016-2017.  
  • PI, project: “Rice seed assessment using computer vision techniques”, Funded by CUD, Belgium – VNUA Vietnam, 2014-2015. 
  • PI, project: “Some Advanced Statistical Learning Techniques for Computer Vision “, Funded by The Vietnam National Foundation for Science and Technology Development, 2011-2014. 
  • Full scholarship from Austrian government for PhD. study at TU Graz, Austria, 2004-2008
  • Scholarship for postgraduate study at Asian Institute of Technology Vietnam, 1999

  • 3 PhD students 
  • 5 Master students, all successfully defended
  • Undergraduate students  

  • Best Paper Awards : 1 journal and 3 conferences 
  • Minister's Commendation

  • AI / Tech advisor 
  • Co-founder AI Academy Vietnam 
  • Training AI/ML for CEO/CTO, IT specialists and professional staffs: Orchestra Networks, NextTech, Viettel, Vietcombank, etc.

  • 1998 – 2004: Lecturer in Information Technology, Vietnam National University of Agriculture 
  • 2004 – 2009 : PhD. candidate, Graz University of Technology, Austria
  • May – Jul. 2009: Visiting faculty, Czech Technical University in Praha
  • Feb. – Mar. 2016: Specially appointed Associate Professor, Osaka University, Japan
  • 2017 – 2022: Associate Professor in Computer Science, Vietnam National University of Agriculture
  • Position held: Head of Department of Computer Science (2011 – 2022); Associate Professor in Computer Science (2017-2022); Chairperson of the Committee of Science and Training, Faculty of Information Technology, VNUA