Scholar
Kevin Han
Google Scholar ID: VR8ngoUAAAAJ
Associate Professor of Civil, Construction, and Environmental Engineering, NC State University
Citations & Impact
Citations
3,900
H-index
29
i10-index
51
Publications
20
Co-authors
3
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Teaches courses on BIM in Construction, Mechanical and Electrical Systems for Buildings, Visual Sensing for Civil Infrastructure Engineering and Management, and Design of a Robotic Computer Vision System for Autonomous Navigation.
Research Experience
- Prior to joining NC State, Dr. Han was a founding member and Lead Construction Management Engineer at Reconstruct, a startup that provides a web-based visual platform that continuously reconstructs and visualizes Reality directly within 4D Building Information Modeling (BIM), measures progress and productivity, and analyzes risk for delay.
Education
- Ph.D. in Civil Engineering (Construction Engineering and Management emphasis) and Master of Computer Science from the University of Illinois at Urbana-Champaign; MS in Civil Engineering (Construction Engineering and Management emphasis) and BA in Architecture/Minor in Structural Engineering from the University of California, Berkeley.
Background
- Associate Professor & Edward I. Weisiger Distinguished Scholar in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. Research interests include creating and validating new computer vision and machine learning analytics for effective construction project controls, enhancing site-to-office and office-to-site communications, safety and hazard recognition, and safety training and monitoring.
Miscellany
- Interested in new modalities of information and user interaction, including Virtual Reality, Augmented Reality, and Augmented Virtuality. Other areas of interest include robotics for automating management of civil infrastructure systems (subtopics to include autonomous navigation for data collection and analytics) and project-based learning for STEM education.
