Description:
3D GEOLOGICAL MODEL APPLICATION IN SINGAPORE: BUILDING, PREDICTION AND UPDATING
2 STUs (Structural) / 2 PDUs for PEs and CEngs - Approved and Confirmed
Terms and Conditions
- Email Confirmation and Webinar Link will be sent 3 days prior to the commencement date of event. Please remember to check your junk/spam folder. Should you not receive, please email to shelly.ng@iesnet.org.sg
- Please note that confirmation will only be given to those who have made payment.
Synopsis
In urban areas, utilising underground space enhances the quality of above-ground life. Understanding the geological formation and distribution of soil and/or rock profiles are crucial for underground geotechnical design.
To improve the efficient and effective use of underground space, 3D geological modelling has become an effective way of storing, processing, presenting and analysing increasingly large quantities of geological data. It is a vital research direction in geological fields, such as engineering geology.
Singapore has achieved detailed geological data and information in the past, providing the foundation for detailed 3D geological models. Through 3D geological technological advancement, underground space has been widely adopted and utilised by businesses, government agencies, and researchers, thus saving millions of dollars.
This webinar will showcase how to build a 3D geological model predicting geological conditions by using machine learning approach and update existing 3D geological model using artificial intelligence method.
Speakers
Prof Zhu Xing, received his PhD degree in Chengdu University of Technology, China in 2014.
He is currently working as an Associate Professor of College of Information Science & Technology in Chengdu University of Technology. He is also a Research Member of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, China.
His research interests include Artificial Intelligence, Wireless Sensor Networks for landslide monitoring and early warning, Geological Information and Data Mining. He has published more than 30 papers and won the second prize of the Chinese National Science and Technology Progress in 2019.
He was one of the Postdoctoral Research Fellows in the group supervised by Prof Chu Jian of Nanyang Technological University, Singapore (2020 – 2021).
Mr Peng Pei is the founder of One GIS (One GIS) Private Limited. He set up One GIS in mid 2014 and leads the company to export the business in geographic information system (GIS) industry of Singapore. Mr Peng received his Master degree of GIS from Wuhan University, China in 2006. Before he set up One GIS, he had worked in GIS for over 10 years.
Mr Peng and the company's leaders focus on facilitating the GIS application in Singapore, especially in smart systems, including geology, intelligent transportation, utility and building sectors. In 2021, he and other founders set up GIBS SMART CITY together and focus on applying geospatial technologies and VR /AR technologies in digital twin.
For flyer, please click HERE
POSTPONEMENT/CANCELLATION
IES reserves the full rights to cancel or postpone the Event under such circumstances without prior reasons. And/or due to unforeseen circumstances. Every effort, however, will be made to inform the participants or contact person of any cancellation or postponement. Fees will be refunded in FULL if any Event is cancelled by IES.
(Please be informed that there will be a cancellation charge of 4.5% if cancelled by the participant)
For more information, please email to shelly.ng@iesnet.org.sg.
PERSONAL DATA PROTECTION POLICY
I consent to the processing by Institution of Engineers, Singapore and/ or its Supporting Organisation(s) of personal data, including sensitive personal data as defined in the Data Protection Act 2012, about me for the proper purposes of Institution of Engineers, Singapore (IES) and/ or its Supporting Organisation(s). I undertake to observe the provisions of the Data Protection Act 2012 in relation to any personal data I may myself hold and process as a Members of Institution of Engineers, Singapore, and I agree to indemnify Institution of Engineers, Singapore and/ or its Supporting Organisation(s) from liability for any claims or damages that may arise from the processing of this data. For more information kindly refer to: https://www.ies.org.sg/About-IES/PDPA and/ or check directly with the Supporting Organisation(s).
Yet to be allocated |
