Please click here if you are unable to view this page.
Advanced Analytics for a Safe City
by Dr. Clifton Phua
 

Speaker

Dr. Clifton Phua
Director of Analytics
NCS Group

 
DATE 12th July 2016, Tuesday
VENUE Seminar Room 2-3
School of Information Systems
Level 2
Singapore Management University
PROGRAMME
6.30pm
(Refreshment & Registration)
7.00pm to 8.00pm
(Presentation by Dr. Clifton Phua)
8.00pm to 8.30pm
Q&A
 

Synopsis

Advanced Analytics for a Safe City

Many organisations and institutions are turning to advanced analytics to address the increasingly complex challenges that they face today. With the explosive growth of data generated by the Internet of Things, together with ubiquitous computing power, advanced analytics holds the key to harness the value hidden in the massive data generated every day. This presentation will showcase several key applications of advanced analytics related to public safety. The use cases discussed will illustrate the potential value and insights that advanced analytics can bring to a safe city.

 

About the Speaker

Mr Clifton Phua

Clifton is at NCS Group, working on Big Data analytics under the Smart and Safe City Centre of Excellence. In his free time, he volunteers professional services to events, conferences, and journals (related to data mining/analytics, security and health informatics). Was also part of teams which won some analytics competitions.

His specialization was Big Data analytics in public security (attack and disaster preparation/recovery/response; cyber security; internal security; and predictive policing) and fraud (government, banking, and insurance).

He is an associate editor for the IEEE Transactions on Big Data (IEEE TBD) and Big Data Journal, and editorial board member of International Journal of Cyber Warfare and Terrorism. In addition, he is a program committee member of IEEE International Conference on Big Data, Joint Intelligence and Security Informatics Conference, and International Symposium on Foundations of Open Source Intelligence and Security Informatics.

His teams have won challenges such as GE Flight Quest Phase 1 Competition 2013 and Fraud Detection in Mobile Advertising Competition 2012. He has published more than 30 technical papers on various industry applications of data analytics, such as fraud detection and activity recognition.

Clifton’s PhD (on identity crime detection) and bachelor's (first class honours) degrees are from Clayton School of Information Technology, Monash University, Australia.

 
 
 
               
 
 
To unsubscribe, please click here.