Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 10/02/2025 (Monday). We are pleased to invite Prof. Zheng GUAN from State Key Laboratory of Internet of Things for Smart City as the speaker.

Fusion of 3D Geotechnical and Geophysical Data for Developing Digital Twin of Underground Space
Speaker: Zheng GUAN
Date: 10/02/2025 (Monday)
Time: 10:00 – 11:00
Language: English
Venue: N21-5007 (Exhibition Hall)

Abstract:
Although it is widely acknowledged that a three-dimensional (3D) model of geotechnical property variation is the cornerstone of underground digital twin, its adoption in practice remains limited, probably due to the scarcity of site-specific geotechnical data collected from site investigation. During a site investigation program, geophysical surveys are carried out sometimes, allowing for a rapid, nondestructive recognition of subsurface conditions over large areas. The abundant geophysical data obtained provides valuable complementary information for developing a reliable 3D geotechnical property model. However, no practical and rational method is available currently for a quantitative fusion of geotechnical and geophysical data in a 3D space. This talk will introduce an innovative 3D fusion method for efficiently integrating limited geotechnical data with high-resolution geophysical data in a 3D space. 

Speaker’s Bio:
Dr. Zheng GUAN is a research assistant professor at the University of Macau and a Registered Geotechnical and Structural Engineer in China, with over 5 years of engineering experience in geotechnical site characterization, geotechnical design, and geological hazard mitigation. He obtained his Ph.D. at the City University of Hong Kong (CityU) in 2021, receiving the award for Best PhD Thesis in Geotechnical Studies 2021 from the Hong Kong Institution of Engineers (HKIE). His research interests focus on combining techniques in dimensionality reduction/transforms, sparse sensing, and machine learning for underground digitalization and reliability- and performance-based design in geotechnical engineering.

For enquiries: Tel: 8822 9159
Email: frankielei@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City