NGUYEN,VU LUAT

16 June 2025 / Comments

ACADEMIC QUALIFICATIONS
2021: PhD of Architectural Engineering, Sejong University, Seoul, South Korea.
2015: Degree of Engineer in Civil Engineering (Hydraulic Engineering), Thuyloi University 2nd Campus, Ho Chi Minh City, Vietnam.
PROFESSIONAL ACTIVITIES
   2015 – 2017: Lecturer at Faculty of Civil Engineering, Thuyloi University, Vietnam
   2017 – 2022: Research Assistant, Research Associate, Department of Architecrural Engineering, Sejong University, South Korea.
   2022 – 2024: Director, Institute of Graduate Studies, MIT University, Vietnam.
   2024 – 05/2025: Director, Institute of Graduate Studies, Gia Dinh University, Vietnam.
   Since 06/2025 until now: Lecturer at Faculty of Civil Engineering, Ton Duc Thang University, Vietnam.
RESEARCH INTERESTS
   Applied AI and ML in structural and geotechnical engineering.
   Seismic behavior of retrofitted structures.
   Numerical simulation of structures subjected to earthquake loading.
   DEM in dynamic analysis of masonry structures under dynamic loading
PUBLICATIONS
1.   Han, T. V., MoonSook, J., Kim, Y., Lee, D., Luat, N. V., & Lee, K. (2024). Numerical study on compressive behavior of a 3D-printed sand mold-cast S-CN connector. Journal of Constructional Steel Research, 213, 108336.
2.   Luat, N. V., Do, T. N., Nguyen, L. C., & Kien, N. T. (2024). Assessing landslide susceptibility along the Halong-Vandon expressway in Quang Ninh province, Vietnam: A comprehensive approach integrating GIS and various methods. Geomechanics and Engineering, 37(2), 135-147.
3.   Cuong, N. H., Luat, N. V., Gayoon, L., An, H., Han, S. W., & Lee, K. (2023, August). Experimental and DEM numerical analyses of the flexural and diagonal compression behavior of masonry reinforced with polyurea coating. In Structures (Vol. 54, pp. 1578-1592).
4.   Luat, N. V., Lee, H., Shin, J., Park, J. H., Ahn, T. S., & Lee, K. (2022). Experimental and numerical investigation of RC frames strengthened with a hybrid seismic retrofit system. Steel and Composite Structures, An International Journal, 45(4), 563-577.
5.   Cuong, N. H., Shin, J., Kim, J. H., Luat, N. V., & Lee, K. (2022). Compressive and shear behavior of brick masonry assemblages strengthened with polyurea coating: Experiment and DEM investigations. Construction and Building Materials, 348, 128534.
6.   Luat, N. V., Shin, J., & Lee, K. (2022). Hybrid BART-based models optimized by nature-inspired metaheuristics to predict ultimate axial capacity of CCFST columns. Engineering with Computers, 38(2), 1421-1450.
7.   Luat, N. V., Han, S. W., & Lee, K. (2021). Genetic algorithm hybridized with eXtreme gradient boosting to predict axial compressive capacity of CCFST columns. Composite Structures, 278, 114733.
8.   Luat, N. V., Shin, J., Park, J. H., & Lee, K. (2021). Experimental and numerical investigation on seismic performance of retrofitted RC columns with web direct/indirect bonding external H-section. Journal of Building Engineering, 44, 103404.
9.   Luat, N. V., Shin, J., Han, S. W., Nguyen, N. V., & Lee, K. (2021). Ultimate axial capacity prediction of CCFST columns using hybrid intelligence models–a new approach. Steel and Composite Structures, An International Journal, 40(3), 461-479.
10.   Nguyen, V. Q., Aaqib, M., Nguyen, D. D., Luat, N. V., & Park, D. (2020). A site-specific response analysis: A case study in Hanoi, Vietnam. Applied Sciences, 10(11), 3972.
11.   Luat, N. V., Nguyen, V. Q., Lee, S., Woo, S., & Lee, K. (2020). An evolutionary hybrid optimization of MARS model in predicting settlement of shallow foundations on sandy soils. Geomech. Eng, 21(6), 583-598.
12.   Luat, N. V., Lee, J., Lee, D. H., & Lee, K. (2020). GS-MARS method for predicting the ultimate load-carrying capacity of rectangular CFST columns under eccentric loading. Computers and Concrete, An International Journal, 25(1), 1-14.
13.   Luat, N. V., Lee, K., & Thai, D. K. (2020). Application of artificial neural networks in settlement prediction of shallow foundations on sandy soils. Geomechanics and Engineering, 20(5), 385-397.
PROCEEDING
1.   Luat, N. V., & Lee, K. (2021). Numerical Modelling of Bond-slip Behavior between Steel Rebars and Concrete. Proceedings of the Korean Concrete Institute Conference, 33(2), 627-628.
2.   Luat, N. V., & Lee, K. (2021). Tree-based Models in Predicting Compressive Strength of HPC. Proceedings of the Korean Concrete Institute Conference, 33(1), 235-236.
3.   Quoc, T. B., Luat, N. V., & Lee, K. (2021). Numerical Simulation of RC Column Retrofitted by Seismic Hybrid Method. Proceedings of the Korean Concrete Institute Conference, 33(1), 105-106.
4.   Cuong, N. H., Luat, N. V., & Lee, K. (2021). Discrete Element Method for Modeling Concrete Bricks under Compression Test. Proceedings of the Korean Concrete Institute Conference, 33(1), 233-234.
5.   Luat, N. V., & Lee, K. (2020). A New Predictive Formulation for HPC Strength Using MARS Method. Proceedings of the Korean Concrete Institute Conference, 32(2), 195-196.
6.   Luat, N. V., & Lee, K. (2019). Multivariate adaptive regression spline for predicting the ultimate bearing capacity of circular CFST columns. Proceedings of the Korean Concrete Institute Conference, 31(2), 77-78.
7.   Luat, N. V., & Lee, K. (2019). Ultimate capacity prediction of eccentric loaded CFST columns using MARS method. Proceedings of the Korean Concrete Institute Conference, 31(1), 101-102.
8.   Luat, N. V., & Lee, K. (2018). Artificial Neural Networks for Predicting Settlement of Shallow Foundations on Sandy Soils. Proceedings of the Korean Concrete Institute Conference, 30(2), 145-146.