Prof. Xiaolin Meng
Beijing University of Technology
Meng Xiaolin, Ph.D. graduated from Tongji University and University of Nottingham, Professor of Beijing University of Technology, Professor of Intelligent Mobility, Doctoral Supervisor, Life Fellow of UK Research and Innovation, Fellow of the Royal Institute of Navigation, and Director of Sino-UK Geospatial Engineering Centre (SUGEC), serving as a Visiting or Distinguished Professor of 7 famous domestic universities such as Chongqing University, Tongji University and Wuhan University. Dr. Meng was elected to the CAS Pioneer Hundred Talents Program of the UK Research Council. He has served as the head of Positioning and Navigation Technologies at the University of Nottingham in the UK for a long time, as well as the leading working group leader of the International Bridge Maintenance and Safety Committee, the International Association of Surveyors (FIG), and the International Association of Geodesy (IAG).
Dr. Meng is also the Chair of the 2013 International Symposium on Deformation Monitoring. He has engaged in the long-term research and development on bridge structural health monitoring sensor systems, intelligent transportation, precision agriculture, GNSS navigation and positioning, multi-sensor integration and algorithm, and indoor and outdoor seamless positioning, etc. He undertook the deformation monitoring of Edinburgh’s Fortune Bridge, obtained dozens of ESA and Innovate UK government research projects such as intelligent unmanned driving of vehicles, intelligent navigation of farm vehicles, etc., with scientific research funding of about 18 million pounds, and published more than 330 leading journals and SCI papers in total. The intelligent bridge monitoring system he developed won The Engineer Collaborate to Innovate 2019 Award, a leading UK civil engineering industry award. He also led the development of InSAR millimeter-level monitoring data processing system, unmanned precision positioning system, environmental intelligent identification system, agricultural machinery intelligent navigation system, UAV soil intelligent sensing system and many other mature products, and carried out a lot of work in the aspects of technological innovation and transformation.