2026Journal Article
An Evaluation of the Axial Bearing Capacity of Piles in Soft Cohesive Soils Using Standard Methods and Numerical Simulation
Engineering, Technology & Applied Science Research
DOI: 10.48084/etasr.15947Assoc. Prof. · Ph.D. · PMP
Tuan Anh Nguyen
Director of Railway-Metro Project Management Board
Director of Saigon Metro MRT Research and Development Institute · Sovico Group
AI in Civil EngineeringSmart Railway & MetroGeotechnical FEMDigital TwinPMI · PMP since 2019
Ho Chi Minh City, Vietnam
About
Bridging research and large-scale infrastructure delivery.
Assoc. Prof. Tuan Anh Nguyen is a transportation and infrastructure executive, researcher, and innovation leader currently serving as Director of the Railway-Metro Project Management Board and Director of the Saigon Metro MRT Research and Development Institute under Sovico Group.
He has held the Project Management Professional (PMP) certification awarded by the Project Management Institute (PMI) since 2019, demonstrating strong expertise in international project management standards and strategic infrastructure leadership.
His work focuses on smart transportation systems, railway and metro infrastructure, AI applications in civil engineering, and digital transformation in urban mobility. He actively promotes international collaboration for ISI/Scopus publications, applied research, and innovation initiatives between Vietnam and global academic institutions.
His research interests include Artificial Intelligence, Machine Learning, FEM, smart infrastructure systems, digital twin technologies, transportation engineering, and sustainable urban mobility.
Key facts
- PMP CertifiedProject Management Institute · since 2019
- Ph.D.Geotechnical Engineering · HCMUT, VNU-HCM
- ExecutiveSovico Group · Railway-Metro PMB Director
- Open to CollaborationISI/Scopus, visiting research, joint grants
Research
Nine focus areas at the intersection of AI and infrastructure.
Interdisciplinary research integrating Artificial Intelligence, Finite Element Method, and modern transportation engineering — applied to railway, metro, and smart-city infrastructure.
AI in Civil & Transportation Engineering
Applying machine learning, deep learning, and ANN models to design, monitor, and optimize transportation infrastructure.
Smart Railway & Metro Systems
Research and development of intelligent rail and metro systems — operations, signalling, and passenger experience.
Urban Mobility & Smart Transportation
Multimodal mobility, congestion management, and sustainable transportation strategies for modern cities.
Digital Twin & Intelligent Infrastructure
Real-time virtual replicas of physical assets to enable predictive control of bridges, tunnels, and rail networks.
Geotechnical Engineering & FEM
Finite Element Analysis of deep excavations, pile foundations, barrette walls, and soft-soil behavior in tunneling.
Machine Learning for Infrastructure Monitoring
Structural health monitoring with PSD signals, hybrid FEA + ML pipelines, and damage identification on bridges.
Predictive Maintenance Systems
Data-driven anomaly detection and lifecycle modeling for railway, metro, and highway infrastructure assets.
Smart Cities & Sustainable Transportation
Public–Private Partnership models, BIM adoption, and policy frameworks for sustainable transport infrastructure.
Transportation Data Analytics
Statistical and AI-based analytics on operational, sensor, and project data to inform investment decisions.
100+
Total publications
30
Journal articles
22
Book chapters
21 in 2025
Peak research year
Selected publications
Recent peer-reviewed work
2025Journal Article
A Novel Approach to Predicting Horizontal Displacement of Riverbank Retaining Walls
Transportation Infrastructure Geotechnology
DOI: 10.1007/s40515-025-00534-72025Journal Article
Deep Excavation Success Prediction: A Hybrid Approach with FEA and Machine Learning
Transportation Infrastructure Geotechnology
DOI: 10.1007/s40515-025-00554-32025Journal Article
Enhancing the Accuracy in Predicting the Maximum Bearing Capacity of Bored Piles Using Derivative Analysis and FEM Simulation
Transportation Infrastructure Geotechnology
DOI: 10.1007/s40515-025-00537-42025Journal Article
IMPACT OF BARRETTE WALL THICKNESS ON DISPLACEMENT AND FORCE IN DEEP EXCAVATION PROJECT
International Journal of GEOMATE
DOI: 10.21660/2025.125.47042025Journal Article
Ultimate Bearing Capacity of Bored Piles Determined Using Finite Element Analysis and Cubic Regression
Transportation Infrastructure Geotechnology
DOI: 10.1007/s40515-024-00491-7Open to research collaboration
Looking for a research partner on smart railway, AI, or geotechnical engineering?
Welcoming inquiries on joint ISI/Scopus publications, visiting researcher exchanges, AI-driven infrastructure studies, and industry-academia partnerships.