Didi Mak, LPC Co. Ltd.

Preparing for Smart City – BIM-based Ground Risk Management

Didi Mak is passionate about smart ground modelling and promotes BIM-based ground knowledge and information management for construction projects. Currently, she pursued her passion at LPC Co. Ltd. as Digital Transformation Lead, a technology firm (Certified with BSI KitemarkTM for BIM Software), for digitalisation solutions for the construction and real estate industry to maximise the values of standardisation for smart city. For the past 5 years as an engineering geologist at Arup (Hong Kong), Didi has particular experience in geology engineering and GIS for both public and private civil engineering projects in Hong Kong, Myanmar, Philippines and Maldives, etc.

Manman Hu, The University of Hong Kong

Shear Stimulation - Towards a Safe Tapping of the Earth’s Geothermal Energy

Dr. M.M. Hu is currently an Assistant Professor at the University of Hong Kong. She holds a Ph.D degree from Duke University (USA) and a B.Eng degree from Zhejiang University(China). Her research group focuses on tackling the fundamental Multi-scale Multiphysics problems in geomaterials and geo-processes that play an essential role in a wide context of geoenvironmental circumstances concerning carbon neutrality, clean energy and adaptation to Climate Change, including enhanced geothermal systems (EGS), Carbon Capture Utilisation and Storage (CCUS), unconventional resources recovery, sediment aging, geochemical inception of land motion, effect of ocean acidification, emerging geomaterials for sustainability and resilience, etc.

Louis Wong, The University of Hong Kong

Automatic Geomaterial Classification using Artificial Intelligence Technique to Cater for Smart City Development 

Dr Louis Wong (PhD MIT, BSc HKU) is Associate Professor and Director of MSc in Applied Geosciences in the Department of Earth Sciences at HKU. He has worked in Hong Kong, Singapore and the U.S.A. on a variety of slope engineering and underground construction projects. Dr. Wong has published more than 160 journal and conference articles in engineering geology, rock mechanics and underground engineering. He is ranked the top 1% worldwide by citations in his research field. He was awarded the Richard Wolters’ Prize (2014) by the International Association of Engineering Geology and Environment. He has been the Editor-in-Chief of Bulletin of Engineering Geology and the Environment since 2018. His recent research interest is to apply AI technologies to geological and geotechnical industry practices. 

Tieyuan Zhu, The Pennsylvania State University 

Urban Seismology with Free Sources and Sensors: New Signals from Surface to Subsurface

Tieyuan Zhu is an Assistant Professor in the Department of Geosciences at Penn State. Dr. Zhu received his PhD degree from Stanford University in 2014, and MS degree from Chinese Academy Sciences Institute of Geology and Geophysics, and BS degree from China University of Geosciences. He received Best Student Paper from SEG 2013, and J. Clarence Karcher Award from SEG 2018. Dr. Zhu’s research interests include to use geophysical data to study water, energy, and environmental problems (e.g. CO2 sequestration, geohazards, and critical zone science). His recent projects include real-time seismic monitoring of geological stored CO2 plume, fiber-optics seismology, and urban seismology.  

Shujuan Mao, Stanford University 

Space-Time Monitoring of Groundwater in the Coastal Los Angeles Basins via Seismic Interferometry

Shujuan Mao is a Thompson Postdoctoral Fellow in Geophysics Department at Stanford University. She received her B.S. from Peking University in 2015 and her Ph.D. from MIT in 2021. Shujuan uses seismological observations to unravel the physical mechanisms of time-varying processes (caused by both natural and anthropogenic factors) in the shallow crust. Her current research focuses on the real-time monitoring of mechanical properties in Earth’s shallow subsurface via interferometry of seismic ambient noise. She has also worked on detection and relocation of micro-seismicity, simulations of ground motion, and wavelet analysis of seismic signals.

Hae Young Noh, Stanford University

Vehicles as Sensors: Indirectly Monitoring Infrastructure Health through Vehicle Vibration Responses

Hae Young Noh is an Associate Professor in Civil & Environmental Engineering (CEE) at Stanford University. Her research focuses on indirect sensing and physics-guided data analytics for non-intrusive monitoring of cyber-physical-human systems. Her work has been deployed in real-world applications from trains, to the Amish community, to eldercare, to pig farms. She received her Ph.D. and M.S. degrees in CEE and the second M.S. degree in Electrical Engineering at Stanford. She earned her B.S. degree in Mechanical & Aerospace Engineering at Cornell University. She received the Google Faculty Research Awards, the Dean’s Early Career Fellowship, and the NSF CAREER Award.

Vicki Lau, Arup Hong Kong

Artificial Intelligence Services on Earth Observation

Vicki Lau is the GIS team leader of Arup Hong Kong and East Asia leads of Geospatial and Earth Observation skill network in Arup. Working in a multidisciplinary consultant firm, she and her team deliver GIS solution across all discipline. Solutions includes GIS applications, data standard and GIS/artificial intelligence integration.