L o a d i n g

Short Bio

Tong Ngoc Anh earned his B.E. degree from Hanoi University of Science and Technology (HUST) in 2023. He is currently a researcher at the Institute of AI Innovation and Societal Impact (AI4LIFE) at HUST. His research interests focus on deep learning, graph neural networks, Applied AI in Environmental Science, and Large Language Models. She guides students in scientific research and keeps them updated on the latest technologies. He mentors students in scientific research and keeps them informed about the latest technologies.

Education

  • 2018-2023: Information Technology – Higher Education Development Support Project on ICT (HEDSPI)

Teaching

  • ST6801 – C programming language
  • SH6706 – Object Oriented Programming in Java
  • SD6701 – Objects in Microsoft SQL Server
  • SD6702 – Mobile Programming

Honors and Awards

  • 2024 Internship scholarship at National Institute of Informatics  – Japan
  • 2023 Best Presentation Award at the School’s Thesis Defense, Hanoi University of Science and Technology
  • 2023 Internship scholarship at Griffith University – Australia
  • 2022 First Place in the Air Quality Forecasting Challenge Track at the AI4VN 2022 Competition, hosted by Ministry of Science and Technology, Hanoi University of Science and Technology, VN Express
  • 2022-2023 Excellent Student Scholarships, Hanoi University of Science and Technology (Awarded for Top 5% of Students with the Highest GPA)

Selected Publications

 

  • Son Dinh, Dung Nguyen, Duc-Tri Tran, Dang-Huy Pham-Nguyen, Thuan Hieu Tran, Ngoc Anh Tong, Quang Huy Hoang, Phi Le Nguyen, “Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025).
  • Tuan Dung Nguyen, Ngoc Anh Tong, Thanh Trung Huynh, Binh P.Nguyen, Hung Nguyen, Phi Le Nguyen “Hierarchical Federated Learning in MEC Networks with Knowledge Distillation”. In 2024 International Joint Conference on Neural Networks (IJCNN)

  • Thanh Toan Nguyen, Ngoc Anh Tong, Cailen Roberto, Quoc Viet Hung Nguyen, Jun Jo “Resource-Adaptive and OOD-Robust Inference of Deep Neural Networks on IoT Devices.” In CAAI Transactions on Intelligence Technology, 2024, CIT-2023-09-0553.R1

  • Ngoc Anh Tong, Quang Viet Ly, et al. “Improving algal bloom detection using spectroscopic analysis and
    machine learning: A case study in a large artificial reservoir, SouthKorea.”In Science of TheTotal Environment, Vol. 901, 2023, ISSN 0048-9697, doi: 10.1016/j.scitotenv.2023.166467.