Welcome, I'm

Thang X. Le

PhD Fellow in Civil Engineering

University of Minho, Portugal

Passionate researcher specializing in Structural Health Monitoring, Metaheuristic Optimization, Machine Learning, and Digital Twin technologies. Developing innovative solutions for complex engineering challenges.

Thang X. Le
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About Me

I am a PhD Fellow in Civil Engineering at the University of Minho, Portugal, deeply passionate about advancing research in Robust Optimization, Metaheuristics, Machine Learning, and Structural Health Monitoring.

My expertise spans developing sophisticated algorithms for optimization and predictive modeling, implementing machine learning techniques for structural analysis, and designing innovative monitoring systems for civil infrastructure.

Education

2024 - Present

PhD in Civil Engineering

University of Minho, Braga, Portugal

2020 - 2022

Master's in Bridge Engineering

University of Transport and Communications, Hanoi, Vietnam

2015 - 2020

Bachelor of Engineering

University of Transport and Communications, Hanoi, Vietnam

Research Interests

  • Structural Health Monitoring
  • Metaheuristic Optimization
  • Machine Learning
  • Digital Twin
  • Smart Sensors
438+ Citations
9 h-index
16+ Publications

Publications

Recent peer-reviewed journal articles and book chapters

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Blog

Thoughts on research, engineering, and technology

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Technical Skills

A research-oriented toolkit centered on structural intelligence, computational mechanics, and deployable AI systems.

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Research Area

Structural Health Monitoring

Vibration-based monitoring, system identification, reliability assessment, and data-driven diagnostics for civil infrastructure.

SHMDamage DetectionSystem IDReliability
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Modeling

Computational Mechanics

Structural analysis, finite element modeling, optimization, and dynamic response simulation for complex structural systems.

FEADynamicsOptimizationSimulation
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Engineering Stack

Tools & Implementation

Python, MATLAB, ABAQUS, ANSYS, LS-DYNA, PyTorch, and TensorFlow for reproducible research and engineering workflows.

PythonMATLABABAQUSPyTorch

Get In Touch

I'm always interested in research collaborations, academic discussions, and opportunities to contribute to innovative projects in Civil Engineering.