报告人：Lee Yee Hui（新加坡南洋理工大学 副教授）

时间：2024年6月11日（周二）13:30-15:00

地点：空间信息中心204会议室

报告简介：

The Ground Penetrating Radar (GPR) systems are primarily used in construction applications where pipelines and structures are detected using these systems. In recent years, due to the change in climate, strong winds have caused severe tree falling problems in Singapore and Malaysia. This has resulted in the lost of properties and lives. Our team has developed a state-of-the-art GPR system that uses machine learning techniques identify roots to aid in the 3 dimensional mapping of the root structure as well as determine the health of the root system. The GPR has further been enhanced to determine cavities in tree trunks and also to study the structural stability of the trees. In this talk, we examine the unique capabilities of the GPR system and how AI can be used to enhance its functionality. Some of our on-going works and future research directions will also be discussed.

报告人简介：

Dr. Lee Yee Hui received the B.Eng. degree and the M.Eng. degree from Nanyang Technological University, Singapore, and the Ph.D. degree from University of York, England, in 1996, 1998 and 2002, respectively. All degrees are in electronic engineering. She joined the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU) as an Assistant Professor in 2002. She is currently an Associate Professor, Assistant Chair for Faculty at the same school and Cluster Director for Energy Research Institute (ERI@N). She is a senior member of the Institute for Electrical and Electronic Engineers (IEEE). Her current research is in GPS derived weather parameters and weather prediction for energy management. She has been working on rainfall prediction and weather prediction using microwave and deep learning since 2004. She has developed a state-of-the-art 3D ground penetrating radar system for tree root detection applications. Her current research on radar systems includes rain radar, ground penetrating radar and tree trunk cavity radar.