Leadership Team

Nguyen Trung Hieu

Associate Dean for Curriculum

trunghieu.nguyen@fulbright.edu.vn
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Fields of Interest:

  • Numerical Analysis
  • Scientific Computing
  • Machine Learning and Data Science

Education:

  • PhD: 2010, University of California, San Diego, USA
  • PostDoc:
    • 2010-2012: University of California, Davis, USA
    • 2012-2014: Heriot-Watt University, Edinburgh, UK
    • 2014-2016: International Centre for Numerical Methods in Engineering, Barcelona, Spain

Bio:

Dr. Hieu Nguyen was born in a small village in Thai-Binh, a northeastern province in Vietnam. He graduated from the College of Science, Vietnam National University, Hanoi, in 2003 with a Bachelor of Science degree in Mathematics. He then obtained his Master of Arts and Ph.D. in Mathematics from the University of California, San Diego, in 2006 and 2010, respectively. Before joining FUV in August 2022, he was a lecturer at Duy Tan University from 2016-2022 and a postdoctoral scholar at various institutions in the US and the EU from 2010-2016.

His research focuses on formulating, analyzing, and developing numerical algorithms to solve partial differential equations, especially at large scales on supercomputers. He is also interested in optimization algorithms in Machine Learning and their applications in Geoscience, Civil Engineering, and Traffic Monitoring and Management. Particular applications of his research include simulations of earthquakes, surface-subsurface hydrology, multiphase flows in porous media, prediction of landslides, soil erosion, and estimation of physical properties in civil engineering.

In addition to being an active researcher, Hieu is also an enthusiastic educator. He strongly believes in active learning and learning-by-doing. His courses are integrated with real-life and research problems to make them as relevant and interesting as possible. Not only is he approachable in the classroom environment but also outside of classes. He constantly looks for motivated students to join him on projects in computational mathematics and machine learning.

Courses:

  • Calculus
  • Linear Algebra
  • Ordinary Differential Equations
  • Numerical Methods
  • Optimization

Select Publications:

  • Loisel, Sébastien, Hieu Nguyen, and Robert Scheichl. “Optimized Schwarz and 2-Lagrange Multiplier Methods for Multiscale Elliptic PDEs.” SIAM Journal on Scientific Computing 37, no. 6 (January 1, 2015): A2896–2923. https://doi.org/10.1137/15M1009676.
  • Badia, Santiago, and Hieu Nguyen. “Balancing Domain Decomposition by Constraints and Perturbation.” SIAM Journal on Numerical Analysis 54, no. 6 (January 1, 2016): 3436–64. https://doi.org/10.1137/15M1009676.
  • Badia, Santiago, Alberto F. Martín, and Hieu Nguyen. “Physics-Based Balancing Domain Decomposition by Constraints for Multi-Material Problems.” Journal of Scientific Computing 79, no. 2 (May 2019): 718–47. https://doi.org/10.1007/s10915-018-0870-z.
  • Nhu, Viet-Ha, Nhat-Duc Hoang, Hieu Nguyen, Phuong Thao Thi Ngo, Tinh Thanh Bui, Pham Viet Hoa, Pijush Samui, and Dieu Tien Bui. “Effectiveness Assessment of Keras Based Deep Learning with Different Robust Optimization Algorithms for Shallow Landslide Susceptibility Mapping at Tropical Area.” CATENA 188 (May 1, 2020): 104458. https://doi.org/10.1016/j.catena.2020.104458.
  • Nguyen, Hieu, Ngoc-Mai Nguyen, Minh-Tu Cao, Nhat-Duc Hoang, and Xuan-Linh Tran. “Prediction of Long-Term Deflections of Reinforced-Concrete Members Using a Novel Swarm Optimized Extreme Gradient Boosting Machine.” Engineering with Computers, (January 21, 2021). https://doi.org/10.1007/s00366-020-01260-z.
  • Nguyen, Hieu, and Nhat-Duc Hoang. “Computer Vision-Based Classification of Concrete Spall Severity Using Metaheuristic-Optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network.” Automation in Construction 140 (August 2022): 104371. https://doi.org/10.1016/j.autcon.2022.104371.

 Projects/Grants:

  • NAFOSTED, Grant No. 101.99-2017.13, Domain decomposition methods for solving partial differential equations on parallel supercomputers, (PI; with Dr. Du Duc Thang), 2017-2019.
  • NAFOSTED, Grant No. 101.99-2019.326, Methods for solving multiscale partial differential equations, (PI; with Dr. Mai Tina and Dr. Chu Van Tiep), 2020-2023.
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