RISUD Public Lecture on Engineering Applications of Data Science: Spatial Rainfall Characterization & Environmental Forensics
On 17 November 2017, over 50 local participants attended a public Lecture on “Engineering Applications of Data Science: Spatial Rainfall Characterization & Environment Forensics” delivered by Dr. Chin Man “Bill” Mok. The seminar was jointly organized by three institutions, namely, Research Institute for Sustainable Urban Development of The Hong Kong Polytechnic University, National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch), and ASCE Hong Kong Section. Dr. MOK is Vice President and Principal Engineer of GSI Environmental Inc, Oakland, California, USA. He is currently Fellow of ASCE, EWRI Fellow, and Rudolf Diesel Fellow of the Technical University of Munich. During this seminar, he introduced two interesting applications of data science techniques to advance engineering practice first. One application is high-resolution rainfall characterization, and the other is environmental forensics. In addition, he also presented several machine-learning techniques, such as cluster analysis, discriminant analysis, principal component analysis, positive matrix factorization, independent component analysis, etc.
