Overview
Dr. Wang is a Postdoctoral Research Fellow in the Vibration Engineering Section. He obtained his PhD from the Dalian University of Technology in 2022. During his Ph.D, he constructed a low-cost and portable real-time displacement monitoring system and corresponding wireless system networks, based on a custom-developed image processing software. The constructed system (networks) has been applied in several long-span suspension bridge tests. Wang’s research interests are in computer vision, civionics, and structural health monitoring. He now is focusing on the development of low-cost wireless sensor networks for the UKRI-funded ROSEHIPS program grant.Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
2023
- Wang M, Koo K-Y, Liu C, Xu F. (2023) Development of a low-cost vision-based real-time displacement system using Raspberry Pi, Engineering Structures, volume 278, DOI:10.1016/j.engstruct.2022.115493.
- Wang M, Xu F, Xu Y, Brownjohn J. (2023) A robust subpixel refinement technique using self-adaptive edge points matching for vision-based structural displacement measurement, Computer-Aided Civil and Infrastructure Engineering, volume 38, no. 5, pages 562-579, DOI:10.1111/mice.12889.
2022
- Wang M, Kei Ao W, Bownjohn J, Xu F. (2022) Completely non-contact modal testing of full-scale bridge in challenging conditions using vision sensing systems, Engineering Structures, volume 272, pages 114994-114994, article no. 114994, DOI:10.1016/j.engstruct.2022.114994. [PDF]
- Wang M, Bownjohn J, Xu F, Ma Z. (2022) A Novel In-plane Displacement Signal Generation Technique for Testing the Measurement Accuracy of Vision-Based Displacement System, Experimental Techniques, volume 47, no. 4, pages 921-927, DOI:10.1007/s40799-022-00593-2. [PDF]
- Wang M, Ao WK, Bownjohn J, Xu F. (2022) A novel gradient-based matching via voting technique for vision-based structural displacement measurement, Mechanical Systems and Signal Processing, volume 171, DOI:10.1016/j.ymssp.2022.108951.
