Scientific Modelling and Machine Learning in Sustainable Development Research

Speaker: Dr. Li Zhiqiang, Ph.D. in Earth System and Geo-information Science, Institute of Space and Earth Information Science, CUHK

THE SPEAKER

Dr. Li is an expert in atmospheric modelling, especially in the high-resolution urban-scale climate simulation. He was a visiting scholar at the National Center for Atmospheric Research (NCAR) working on urban climate modelling by using the WRF Model (Weather Research and Forecasting Model) combined with GIS (Geographic Information System) technology. Prior to his academic career, he was an entrepreneur with 20 years’ experience in the Hi-tech industry and received distinguished awards for his scientific and technological innovations from the government. He also served as a member of the Shenzhen Chinese People’s Political Consultative Conference and has been involved in the policy formulation of the urbanization and development of the Hi-tech industry in Shenzhen during its take-off stage of economic growth. His knowledge in sustainable urbanization not only comes from academic research but also from his practices in the public sectors.

ABSTRACT

The workshop will focus on how to apply scientific modelling and machine learning techniques in the researches for sustainable development. Dr. Li investigated the impact of massive urbanization on urban climate and used Shenzhen as an example to present the whole process of a scientific modelling application in urban climate. Potential applications of machine learning technologies for scientific modelling will also be discussed. The presentation will cover the impact model of urbanization on the atmosphere, the atmospheric physical models, the development of high-resolution land surface dataset, large-scale cluster computing, model evaluation methods, the regulating mechanism and machine learning techniques.