Doctorante in Engineering Sciences

Publications: - Duyen H. Nguyen-Le, M. Ferrandine, D.P. Nguyen, V.D. Tran, H.D. Vo, T.N. Nguyen, Tien-Tuan Dao. Generative Adversarial Network for Newborn 3D Skeleton Part Segmentation. Applied Intelligence (submitted) - M. Ferrandini, D.P. Nguyen, Hien-Duyen Le-Nguyen, V.D. Tran, H.D. Vo, T.N. Nguyen, Tien-Tuan Dao. Automatic part segmentation for full newborn skeleton-articulated geometries using geometric deep learning and 3D point cloud. Int. J. of Biomedical Engineering and Technology (submitted) - Duyen H. Nguyen-Le, A. Ballit, Tien-Tuan Dao. A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation. Engineering Applications of Artificial Intelligence, 126, pp.107150 (2023)

Master of Science in Computational Engineering

Bachelor in Computer Science

Developer

I worked in projects of GBST Holding Limited, Australia – a FinTech company. I was the primary developer for Business Intelligence project. My tasks were the design and store history data in MySQL, prove Proof of Concept, use Microsoft Power BI software to create reporting. Also, I worked as a developer for the investment management software using the PowerBuilder programming language, MS SQL Server and Sybase database management system to program.

University Lecturer

Researcher

Publications:
– Duyen H. Nguyen-Le, Q.B. Tao, V.H. Nguyen, M. Wahab, H. Nguyen-Xuan. A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction. Engineering Fracture Mechanics, 235, pp.107085 (2020)
– Duyen L. H. Nguyen, D. T. Do, J. Lee, Timon Rabczuk, H. Nguyen-Xuan. Forecasting Damage Mechanics by Deep Learning. Computers, Materials & Continua, 61(3), pp.951-977 (2019)

Researcher

Visiting researcher in the European Commission H2020-MSCA-RISE project BESTOFRAC