معرفی
Chi Tian is an Assistant Professor in the Department of Civil Engineering and Construction Management at the University of Texas of Tyler. He holds a Ph.D. from Purdue University (2024) and a B.E. from Southeast University (2018). His research focuses on enhancing construction worker safety and productivity through technologies like deep learning, computer vision, and connected/automated vehicles (CAVs). He has contributed to NSF and INDOT-funded projects during his doctoral studies.
Education:
- Ph.D., Purdue University, 2024
- B.E., Southeast University, 2018
Research interests include:
- Wearable sensors for safety monitoring
- Computer vision applications in construction
- Human factors in transportation and CAV testing
- Productivity management using AI
- Infrastructure safety innovations
His work bridges academic research with practical industry applications, emphasizing technology-driven solutions for safer work environments.
Publications highlight trends in automated activity classification, autonomous vehicle integration in work zones, and low-cost 3D infrastructure modeling. Recent studies also explore crash simulations and BIM implementation challenges in infrastructure projects.
Grants and collaborations include NSF and INDOT-funded projects. He teaches courses like CMGT 2302 (Introduction to Construction Management) and CENG 4339 (Civil Engineering Construction Management). No scientific awards are explicitly listed in the provided texts.
Labs/Teams: Active involvement in Purdue’s research groups during PhD, though specific current lab affiliations are not detailed.
