Computational Interdisciplinary Graduate Student Organization (CIGSO)
Object Recognition and Tracking, Point Cloud and Image Fusion, Geo-Spatial Information Management in Construction
My research is focused on using vision-based sensing technologies to automate the process of data collection and processing to assist decision-making. My previous research/project involved: (1) detect and quantify the pavement defects using color-depth camera; (2) design a key node model to facilitate object detection and location on construction site using color-depth cameras; (3) investigate the data collected from intelligent compaction roller machines for the future adoption of intelligent compaction mapping as QA/QC tools. My on-going research is to analyze the behavioral pattern of moving object on construction site and predict some potential danger at early stage to improve the safety during construction.
Since my undergraduate study in Central South University (CSU) in China, I attended an inter-disciplinary program which offered rigorous training in both science and technology. I was very excited in its teaching style which explained the whole story behind each theory or finding, but hated the repetitive assignments to make each student to be a proficient "memory machine". Computer seemed to be able to let human focus on more creative ideas. Therefore, I continued my master study in computer and civil engineering interdisciplinary program in Tongji University in China. After graduate, I worked at ARUP consultant company for two years. Based on both my academic and industrial experiences, I continued my graduate study in Prof. Hubo Cai's Laboratory in the school of Civil Engineering, and joined the CS&E program since my first semester. I really benefit a lot from such program and glad to be a supporter or promoter of interdisciplinary program.