معرفی
Yonglei Fan is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on interdisciplinary applications of sensor technologies, machine learning, and spatial analytics. Key areas include indoor positioning systems, human activity recognition, environmental monitoring, and public health analysis. He has contributed to studies on smart city infrastructure, pollution impact assessment, and energy resource forecasting.
Research interests span technical innovations in sensor fusion (IMU/UWB/FMCW radar), Bayesian-based navigation algorithms, and environmental health studies using big data. His work integrates IoT and behavioral data to address challenges in urban sustainability, healthcare monitoring, and energy systems.
Notable projects include analyzing dockless bike-sharing systems for urban mobility insights, developing contactless health monitoring systems, and evaluating indoor positioning technologies through competitive benchmarks. His research often combines experimental methods with advanced computational models to solve real-world problems in smart cities and environmental science.
