Personal profile
Biography
Hoang Nguyen is currently an Assistant Professor at the Department of Mechanical and Construction Engineering. Hoang is a structural engineer with a background in value engineering and structural analysis of residential houses and office buildings. Prior to joining Northumbria, he was a Postdoctoral Research Associate at the School of Engineering, University of Glasgow where he worked on the fracture analyses and structural integrity of graphite bricks in UK nuclear power plants within a project funded by EDF Energy. Before that, Hoang finished his PhD at Northumbria University where his work focused on the numerical prediction of structural/mechanical behaviours of functionally graded microstructures by means of generalised continua and isogeometric analysis. He also worked for more than three years in the industry before pursuing an academic career.
Research interests
His research interests include:
- Data-driven predictions of materials and structures
- Structural engineering and optimisation
- Structural integrity
- Finite element methods
- Mechanics of microstructures
- High-performance computing
Education/Academic qualification
Civil Engineering, PhD
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Collaborations and top research areas from the last five years
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Multi-layer Perceptron for Prediction of Axial Strength of Fully FRP-Confined Circular Concrete
Khant, K., Shayanfar, J., Nguyen, H. & Rezazadeh, M., 8 Feb 2026, 12th International Conference on FRP Composites in Civil Engineering (CICE 2025): Volume 2. Sena-Cruz, J., Barros, J. A. O., Correia, L., Custódio, J. & Louro, A. S. (eds.). Cham, Switzerland: Springer, p. 1041-1048 8 p. (Lecture Notes in Civil Engineering; vol. 778 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Thermo-mechanical buckling analysis of bio-inspired RotTPMS plates via quasi-3D HSDT isogeometric analysis
Tran, K. Q., Duong, T. V., Nguyen, H. & Nguyen-Xuan, H., Mar 2025, In: Materials and Emerging Technologies for Sustainability. 01, 01, 21 p., 2550006.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Efficient mix design method for lightweight high strength concrete: A machine learning approach
Sifan, M., Nguyen, H., Nagaratnam, B., Thamboo, J., Poologanathan, K. & Makul, N., 1 Sept 2023, In: Structures. 55, p. 1805-1822 18 p.Research output: Contribution to journal › Article › peer-review
21 Citations (Scopus) -
Prediction of shear capacity of steel channel sections using machine learning algorithms
Dissanayake Mudiyanselage, M., Nguyen, H., Poologanathan, K., Gatheeshgar, P., Upasiri, I., Rajanayagam, H. & Suntharalingam, T., 1 Jun 2022, In: Thin-Walled Structures. 175, 14 p., 109152.Research output: Contribution to journal › Article › peer-review
Open AccessFile46 Citations (Scopus)201 Downloads (Pure) -
Efficient machine learning models for prediction of concrete strengths
Nguyen, H., Vu, T., Vo, T. P. & Thai, H. T., 10 Jan 2021, In: Construction and Building Materials. 266, Part B, 17 p., 120950.Research output: Contribution to journal › Article › peer-review
Open AccessFile475 Citations (Scopus)413 Downloads (Pure)