Dr Hoang Nguyen

Assistant Professor

School: Engineering, Physics and Mathematics

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.

Email Hoang

Research Themes and Scholarly 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

Key Publications

Please visit the Pure Research Information Portal for further information
Machine learning algorithms for axial strength prediction of fully FRP-confined circular concrete columns, Khant, K., Shayanfar, J., Win, S., Nguyen, H., Rezazadeh, M. 1 Jun 2026, In: Materials and Emerging Technologies for Sustainability
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), Cham, Switzerland, Springer
Thermo-mechanical buckling analysis of bio-inspired RotTPMS plates via quasi-3D HSDT isogeometric analysis, Tran, K., Duong, T., Nguyen, H., Nguyen-Xuan, H. Mar 2025, In: Materials and Emerging Technologies for Sustainability
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 Sep 2023, In: Structures
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
Efficient machine learning models for prediction of concrete strengths, Nguyen, H., Vu, T., Vo, T., Thai, H. 10 Jan 2021, In: Construction and Building Materials
Application of PHT-splines in bending and vibration analysis of cracked Kirchhoff–Love plates, Videla, J., Contreras, F., Nguyen, H., Atroshchenko, E. 1 Apr 2020, In: Computer Methods in Applied Mechanics and Engineering
Isogeometric analysis for size-dependent nonlinear thermal stability of porous FG microplates, Thanh, C., Tran, L., Bui, T., Nguyen, H., Abdel-Wahab, M. 1 Aug 2019, In: Composite Structures
Vibration of cracked functionally graded microplates by the strain gradient theory and extended isogeometric analysis, Nguyen, H., Atroshchenko, E., Ngo, T., Nguyen-Xuan, H., Vo, T. 15 May 2019, In: Engineering Structures
Geometrically nonlinear polygonal finite element analysis of functionally graded porous plates, Nguyen, N., Nguyen, H., Lee, S., Nguyen-Xuan, H. 1 Dec 2018, In: Advances in Engineering Software