Mr. Duc Cong Nguyen | Machine Learning and AI Applications | Best Researcher Award

Mr. Duc Cong Nguyen at Silesian University of Technology, Poland

👨‍🎓 Profiles

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🧑‍🎓 Duc Cong Nguyen: PhD Student and Structural Health Monitoring Specialist

📚 Education

• PhD Student (2020 – 2024)
  Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
  (Supported by NAWA Polish government and Vietnamese government)

🔬 Professional Experience

• PhD Research: Developing and applying vibration-based structural health monitoring (SHM) techniques for railway steel arch bridges using advanced AI models and signal processing methods.
• Consultancy: Contributing to SHM projects for the Dębica railway steel arch bridge in Poland.
• Previous Experience: Over a decade of expertise in bridge structural testing and pile testing in Vietnam.

🔍 Research Interests

• AI and Machine Learning 🤖
• Structural Health Monitoring (SHM) 🏗️
• Bridges and Railway Bridges 🚉
• Vibration Measurement and Diagnostic Load Testing 📏

💡 Key Contributions

• Innovated advanced signal processing techniques for SHM, including wavelet transforms and FFT algorithms.
• Developed GoogLeNet CNN models for classification and pattern recognition of bridge vibration signals.
• Conducted analyses of historical dynamic responses using FFT techniques to estimate tension forces in bridge components.

📖 Publications