Xinheng Wang​

Prof. Wang was the founding Head of Department of Mechatronics and Robotics. He is an IET Fellow and a senior member of IEEE. He is also a team leader of Talented Jiangsu Innovation and Entrepreneur Programme. He has broad academic working experience in China, England, Wales, and Scotland for more than 20 years. He has extensive research experience in Internet of Things (IoT), wireless mesh networks, indoor positioning, big data analytics, and applications for smart cities. Along with more 30 research projects sponsored from EU, UK EPSRC, Innovate UK, China NSFC, and industry, his research in each area has led to an impactful industrial product. For example, the smart trolley, which has been deployed at more than 10 airports in China, he has developed with industrial partner is the first in the world to provide an IoT solution aiming at providing intelligent airport services for passengers. His collaborative research in acoustic localisation with Zhejiang University has won the first place in Microsoft Indoor Localisation Competition in sound group. He has nearly 200 publications and filed dozens of patents, including 15 granted patents in the US, Japan, South Korea, and China. His research has been classified as World Leading at the UK’s REF assessment. The highest citation number of a single technical paper is nearly 600.

His current research interests include intelligent manufacturing and healthcare. In intelligent manufacturing, he is investigating a system dubbed as VisionTwin to integrate industrial Internet of Things (IIoT), edge computing, machine vision, digital twin, and artificial intelligence to promote the intelligence of manufacturing. One application example is condition monitoring of overhead power lines, where a 3-dimensional space could be created on a typical 2-D camera. Apart from power system, he is investigating technologies for robots, particularly on Simultaneous Localization and Mapping (SLAM). In healthcare, he has led a team to develop a novel application of diagnosing COVID-19 on smartphones by monitoring users’ breathing. In addition, he is investigating technologies for motion and posture detection of users indoors by acoustic analysis on smartphones. He is currently organizing two international conferences, HCCS and CollaborateCom. If you would like to collaborate with me on research or study with me for a PhD degree, feel free to contact me.