Duration: July 2017 - June 2018
Team: Yap Wun She (Leader), Tee Yee Kai, Lee Wai Kong, Goi Bok Min, Madhavan, Tay Yong Haur and Victor Tan
Description: Consists of two machine learning related projects, i.e., predicting user behaviour and document classification. This grant funded three postgraduate students. Research outputs include software prototypes, possibilities of patent and publications. More importantly, this is the first grant received from industry for CCS.
Click here: Presentation Slides of ICOIN 2018
Duration: Aug 2017 - July 2019
Team: Denis Wong Chee Keong (Leader), Lee Wai Kong, Yap Wun She, Goi Bok Min, Chia Gek Ling, Ang Miin Huey
Title: Code- and Lattice-Based Signature Scheme Defined Over Extra Special p-group
Description: It is our strong belief that the use of extra special p-group algebra is an equivalent if not potentially stronger form than LWE over ring as group algebra is a more general algebraic structure compare to polynomial ring used in LWE over ring. To demonstrate that our scheme has good performance, we will present some experimental results which are based on a software implementation.
Duration: Oct 2016 - July 2019
Team: Goi Bok Min (Leader), Chang Yoong Choon, Chai Tong Yuen, Lee Sze Wei
Title: Versatile Coding-Independent Authentic Video Sharing Based on Transcoding-Resillient Watermarking
Description: To be updated
Duration: Aug 2016 - Dec 2018
Team: Chai Tong Yuen (Leader), Goi Bok Min, Tay Yong Haur
Title: Iris Localization, Segmentation and Recognition Framework Under Non-Cooperative and Less Constrained Environment
Description: To be updated
Duration: April 2015 - Sept 2017
Team: Yap Wun She (Leader), Goi Bok Min, Jin Zhe, Tan Syh Yuan, Heng Swee Huay
Title: Design and Development of a New Symmetric Key Generation: Application to Multi-Factor Authentication Solution
Description: This is a multi-institution grant involving UTAR and MMU. This grant funded two master students in the area of biometric security. Both students proposed template protection techniques based on voice and fingerprint biometrics. Research outputs had been published in Pattern Recognition, Journal of Network and Computer Applications, IET Communications, Computers & Security, etc. An additional grant was also secured by Jin Zhe from Nanchang Hangkong University, China.
Duration: Dec 2016 - May 2018
Team: Tee Yee Kai (Leader), Yap Wun She, Kwan Ban Hoe, Hum Yan Chai
Title: Audio Recovery via Subtle Vibration in the Video: A Feasibility Study of Visual Microphone
Description: The team will develop an algorithm that is capable of extracting the subtle vibrations from the surface of objects and convert the motion information back to audible sound using the Eulerian phased-based approach.