Clifton Phua offers an overview of several key applications of advanced analytics related to public safety, illustrating the potential value and insights that advanced analytics can bring to a safe city.
Clifton Phua is a director at NCS Group, leading a team of data scientists working on artificial intelligence, machine learning, and advanced analytics under the Smart and Safe City Centre of Excellence. Previously, Clifton worked at the SAS Institute on SAS analytics, where he specialized in big data analytics in public security (attack and disaster preparation, recovery, and response, cybersecurity, internal security, and predictive policing) and fraud (government, banking, and insurance); was a data scientist in the Data Analytics Department (formerly known as the Data Mining Department) at the Institute for Infocomm Research (I2R) at the Agency for Science, Technology, and Research (A*STAR) in Singapore, where he focused on web monitoring of companies and technologies, assistive technology for people with dementia, and mobile phone activity recognition and worked on real-world energy-related analytics projects to improve parts of the smart grid and other big data applications; and served as a research fellow in the Data Mining Laboratory within the Department of Industrial Engineering at Seoul National University, South Korea. Clifton holds a PhD in identity crime detection and a bachelor’s degree with first-class honors, both from Monash University, Australia.
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