Dr. Kelvin Wang, C.P., Ph.D., P.E.
Ph.D., Civil Engineering
Arizona State University, 1992
M.S., Transportation Engineering
Beijing Jiaotong University, China, 1986
B.S., Transportation Engineering
Southwest Jiaotong University, China, 1983
Dr. Kelvin C.P. Wang is professor and Gilbert, Cooper, W&W Steel Chair of Civil Engineering. Dr. Wang’s research interests focus on automated technologies for pavement survey and pavement data systems for design and management. In particular, automated cracking survey has been a main thrust of his research in the past 15 years, including developing 3D laser based imaging sensors, algorithms and computer implementations of database management and imaging processing of transportation assets, hardware integration and geographical positioning of data. His early work includes optimization and Markovian process for pavement management. In the recent years, a primary work conducted by Dr. Wang’s team includes database support for the MEPDG and DARWin-ME pavement design systems that will become the next-generation of pavement design procedure. Dr. Wang recently started working on developing technologies to establish geographically true 3D virtual pavement surface at 1mm resolution that can be used for variety of analysis on pavements, including distress and profiling surveys and surface characteristics for safety.
Current Research Projects
- “Rapid Network Level Survey with Automated Cracking Detection”, Arkansas Highway Department
- “Automated Survey of Pavement Distress based on 2D and 3D Laser Images”, Mack-Blackwell Transportation Center of US DOT, and Arkansas Highway Department
- “Traffic and Data Preparation for AASHTO MEPDG Analysis and Design and 3D imaging for Pavement Survey”, US Federal Highway Administration
Awards and Recognition
- The 2011 Frank M. Masters Transportation Engineering Award for Dr. Wang’s "innovative research on automated pavement survey and data analysis technologies" by the American Society of Civil Engineers (ASCE).
- 1994 the Halliburton Outstanding Research Award, College of Engineering, University of Arkansas
American Society of Civil Engineers
Registered Professional Engineer, Arkansas
- Wang, K.C.P., Hou, Zhiqiong, and Stacy Williams, Precision Test of Cracking Surveys with the Automated Distress Analyzer, ASCE Journal of Transportation Engineering, Vol. 137, No. 8, August 1, 2011
- Wang, K.C.P., Hou, Z., Gong, W.G., and McCann, R.. “A Kalman Filter based Tracking System for Automated Inventory of Roadway Signs”, Transportation Research Record: Journal of the Transportation Research Board No. 1968, 2007
- Wang, K.C.P., Li, Q. and Gong, Weiguo "Wavelet-Based Edge Detection with À Trous Algorithm for Pavement Distress Survey", Journal of the Transportation Research Board, No. 2024, 2007
- Wang K.C.P., Li, Q., Hall, K.D., et al “Database Support for the New Mechanistic-Empirical Pavement Design Guide (MEPDG)”. Transportation Research Record: Journal of the Transportation Research Board, No: 2087, 2008, Washington D. C., USA, pp: 109-119.
- Wang K.C.P. and Li, Q. “Gray Clustering Based Pavement Performance Evaluation”, ASCE Journal of Transportation Engineering, January 2010, Vol 136, No. 1, pp: 38-44
- Li, Q., Wang, K.C. P., and Hall K.D. Verification of Virtual Climatic Stations in the Mechanistic Empirical Pavement Design Guide (MEPDG). International Journal of Pavement Research and Technology, Volume: 3, Issue Number: 1, ISSN: 1996-6814, EISSN: 1997-1400, 2010
- Wang, K.C.P., Hou, Zhiqiong, and Gong, Weiguo, Automated Road Sign Inventory System Based on Stereo Vision and Tracking, Journal of Computer-Aided Civil and Infrastructure Engineering (CACIE), Vol. 25, 2010