(CGPA:4.00/4.00)
Thesis: Physics-Informed Neural Networks for Modeling the Behavior of soil plasticity
First-class honors (CGPA:3.62/4.00)
International collaboration on engineering problem-solving and innovative design.
Assisted in site supervision, construction quality control.
Workshop training in civil engineering takes place at the Thai Obayashi Training Center.
Recognized for outstanding academic excellence throughout the undergraduate program.
Awarded a full scholarship for a Master's degree in engineering, covering tuition fees and a monthly stipend. This competitive scholarship supports outstanding academic performance and research potential.
Participated in the 1st and 2nd camps of the Thailand Earth Science Olympiad (POSE). Earth and Space Science is an interdisciplinary field requiring knowledge from multiple disciplines, particularly the fundamental sciences of mathematics, physics, chemistry, and biology, as well as applied sciences such as geology, soil science, oceanography, hydrology, atmospheric science, and astronomy.
Developed a PINN framework embedding governing PDEs into the loss function for linear elastic materials, validated against Abaqus FEM, with a parametric surrogate model and inverse material identification (Young's Modulus and Poisson's ratio) achieving relative error below 0.1%.
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Developed an NSGA-II-based optimization technique to identify the optimal trade-off between construction cost and completion time for embankment projects in Bangkok's soft soil conditions.
