Nguyen Duc Anh

Lecturer, Department Of Computer Science

Ph.D. (Bioinformatics, Kyoto, Japan, 2023)

M.Sc. (Information System, Hanoi University of Science and Technology, 2018)

Engineer. (Talented Engineer’s Program – Information Technology, Hanoi University of Science and Technology, 2016)

Email: anh.nguyenduc@hust.edu.vn / anhnd@soict.hust.edu.vn
Web: https://users.soict.hust.edu.vn/anhnd

• Machine learning
• Explainable AI
• Bioinformatics

• Machine learning models on graphs, hypergraphs.
• Explainable AI frameworks based on game theory.
• Establishing machine learning models by integrating multiple data-types (graphs, text, images) with ability to explain the results and apply to biological data.

Nguyen Duc Anh received his Ph.D. in Bioinformatics at Kyoto University in 2023. He is a lecturer in the Department of Computer Science, School of Information Technology and Communication. He is interested in machine learning, especially graph neural network models, explainable AI, and applications in biological data.

1. Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka. “Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.” IEEE Transactions on Neural Networks and Learning Systems, 2023, tr. 1-6, ISSN: 2162-2388, doi: 1109/TNNLS.2023.3261860
2. Tran Xuan Bach, Duc Anh Nguyen, Ngo Van Linh, Khoat Than. “Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams”, IEEE Transactions on Knowledge & Data Engineering, vol. 35, no. 04, tr. 3742-3750, 2023, ISSN: 1558-2191, doi: 10.1109/TKDE.2021.3139469
3. Duc Anh Nguyen, Canh Hao Nguyen, Peter Petschner, Hiroshi Mamitsuka. “SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug–drug interactions”, Bioinformatics, Volume 38, Issue Supplement_1, 2022, tr. i333–i34, ISSN: 1460-2059, doi: 10.1093/bioinformatics/btac250
4. Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka. “A survey on adverse drug reaction studies: data, tasks and machine learning methods”, Briefings in Bioinformatics, Volume 22, Issue 1, 2021, tr. 164–177, ISSN: 1477-4054, doi: 10.1093/bib/bbz140
5. Duc Anh Nguyen, Kim Anh Nguyen, Canh Hao Nguyen, Khoat Than. “Boosting prior knowledge in streaming variational bayes.” Neurocomputing424, 2021, tr. 143-159, ISSN: 0925-2312, doi: 10.1016/j.neucom.2020.10.026.
6. Ngo Van Linh, Duc Anh Nguyen, Thai Binh Nguyen, Khoat Than, “Neural Poisson Factorization,” IEEE Access, vol. 8, 2020, tr. 106395-106407, ISSN: 2169-3536, doi: 10.1109/ACCESS.2020.2994239

• ICR Research Award for graduate student, Kyoto University, 2022
• Best Presentation Award, for the presentation at the Bioinformatics Center – Presentation Day, Kyoto University, 2022
• Best Presentation Award (Runner Up), for the presentation at the Bioinformatics Center – Presentation Day, Kyoto University, 2021
• First prize (with the highest score) National Student Physics Olympiad, 2012

• Data structures and Algorithms
• Applied Algorithms
• Introduction to Data Science