Weidong Wu

Weidong Wu is an Associate Professor in the Department of Civil and Chemical Engineering at the University of Tennessee at Chattanooga (UTC). He coordinates the Civil Engineering Department Graduate Program and serves as an editorial member/reviewer for the Civil Engineering Journal and CRC Press. Prior to UTC, he worked as an FEA engineer in Michigan and spent four years in structural design and construction management in China.

• PhD in Civil Engineering (2008), University of Mississippi
• BS in Civil Engineering (1998), Huazhong University of Science & Technology
• Certifications: Google Data Analytics, Deep Learning (Coursera), Quality Matters

His research spans computational mechanics, smart infrastructure, innovative construction materials, and AI applications in structural engineering. He has pioneered UAV-based pavement assessment systems and developed machine learning frameworks for infrastructure diagnostics using technologies like Faster R-CNN and resonant ultrasound spectroscopy.

Recent publications focus on deep learning integration with infrastructure monitoring, finite element analysis of thermal cracking, and regional MEPDG climate adaptations. He leads TN DOT-funded research on transportation asset management and participates in NSF grants.

Dr. Wu teaches courses in engineering mechanics, structural analysis, finite element methods, and advanced statistics. His lab explores data-driven approaches to infrastructure resilience and budget optimization for municipal road maintenance.