Haifeng Wang
Assistant Professor
Department of Civil and Environmental Engineering
Washington State University
Welcome to my research lab. Our work focuses on structural engineering, computational mechanics, and advanced numerical methods. We develop innovative solutions for complex engineering problems using machine learning, computer vision, and physics-based simulations.
Research Areas
Our research spans multiple domains in civil and structural engineering, combining traditional engineering principles with cutting-edge computational methods.
Computational Mechanics
Advanced numerical methods for solving complex structural engineering problems, including finite element analysis and multiscale modeling.
Machine Learning & AI
Applying deep learning and artificial intelligence to structural engineering, including physics-informed neural networks and computer vision.
Wind Engineering
Studying wind effects on structures, wind load estimation, and wind pressure prediction using computational and experimental methods.
Computer Vision
Developing computer vision techniques for structural analysis, damage detection, and motion estimation in civil engineering applications.
Structural Health Monitoring
Non-destructive testing and monitoring of civil infrastructure using sensors, data analytics, and predictive maintenance strategies.
3D Modeling & Visualization
Creating interactive 3D visualizations and digital twins for structural analysis, building information modeling, and engineering education.
Recent Publications
Selected recent publications from our research group
Physics-guided neural network for predicting asphalt mixture rutting with balanced accuracy, stability and rationality
Deng, Y., Wang, H. and Shi, X.
Estimation of wind pressure field on low-rise buildings based on a novel conditional neural network
Wang, H., Bocchini, P., Padgett, J.
Research Team
Meet the talented researchers working on cutting-edge problems in structural engineering
Dr. Haifeng Wang
Principal Investigator
Computational mechanics, Machine learning, Wind engineering
EmailPhD Student 1
PhD Student
Deep learning for structural analysis
PhD Student 2
PhD Student
Computer vision in civil engineering
MS Student 1
Master's Student
Wind load prediction using neural networks
Join Our Team
We are always looking for motivated graduate students and postdoctoral researchers interested in structural engineering, computational mechanics, and machine learning.