Plenary Talks
| Plenary Talk IV | Big Data and AI Enabled Slope-Health Monitoring and Diagnosis |
| Date / Time | 1 June 2018, Friday / 13:30 - 15:00 hrs |
| Speaker | Dr. Yu-Hsing Wang , Professor, HKUST |
| Chairs | Hongwei Huang, Limin Zhang |
| Biography |
Dr. Yu-Hsing Wang received his B.S. and M.S. degrees in Civil Engineering from National Taiwan University and a Ph.D. in Civil Engineering from Georgia Institute of Technology where he received the George F. Sowers Distinguished Graduate Student Award for Ph.D. Students. Currently, he is a Professor at the Department of Civil and Environmental Engineering and director of Data-Enabled Scalable Research (DESR) Laboratory, HKUST. The DESR Lab is a physical Makerspace, specialized in the applications of Geotechnical Internet of Things (Geo-IoT), Big Data Analytics, and Deep Learning on sustainable urban development and city resilience. The DESR Lab is also an open platform for geotechnical academics and practitioners to collaborate and share resources. His research interests include innovative wave-based characterizations of geomaterials (using mechanical and electromagnetic waves), applications of 3D printing techniques on innovation of geotechnical testing devices and sensing techniques, developments and applications of Smart Soil Particle sensors (OpenSSP), applications of geotechnical internet of things (GeoIoT), Big Data analytics, and deep learning on geotechnical engineering health monitoring and predictive maintenance. In 2005, he received the ASTM International Hogentogler Award. In 2008 and 2017, he received the School of Engineering Teaching Award, HKUST. In 2013, he received the Distinguished Alumni Award from the Department of Civil Engineering, National Taiwan University. He has been invited for Keynote and theme lectures in the internal conferences and served as an associated editor and editorial board member in different journals.
