Project title:  Bayesian Novelty Detection
Funding source: TM R&D
Funding Period: 2016-2018

Project description:
 This project intend to analyze fault reports and the syslog from varied sources to predict the fault occurrences in the future. Hence, helping to suggest the solution to reduce overhead spent on maintaining or repairing these services.
Project title:  Design and development of Unified Hotel Access Control System
Funding source: TM R&D
Funding Period: 2015-2016

Project description:
 Advancement of technology has revolutionized hotel industry from check-in to room access control. Checking-in is often cumbersome and might take a considerable amount of time which creates a bottleneck especially during holiday seasons or peak hours. Long queue will cause guests to feel frustrated and would reflect badly on the reputation of the hotel. As such, this research project, in collaboration with Telekom Malaysia, is to research, design and implement a hotel access control system that facilitates guests to perform unified “check-in-access” task in front of their room. The project objectives are (1) To propose novel scheme to generate digital keys that are secure and can be transmitted digitally to guests in advanced (upon successful booking of rooms). (2) To research and redesign a new access control system that supports the digital keys. The system will assist technological developers in their technology design and development for hotel industry
Project title:  Rule-Based Data Veracity Engine
Funding source: TM R&D
Funding Period:  2016-2018
Project title:  Intuitive Interaction of Assisted Living Home User Interfaces for the Elderly
Funding source: FRGS
Funding Period:  2014-2015
Project title: Visual Based Ambient Assisted Living
Funding source: TM R&D
Project description: The advancements in computer vision technology, coupled with the proliferation of low-cost Internet Protocol (IP) camera have resulted in growing research interest in visual based ambient assisted living in recent years. Most of the existing work in the literature in visual based ambient assisted living focuses on fall detection and hand washing assistance. Eating and drinking, a simple action for the young people, can be difficult for some of the elderly, especially elderly with cognitive disability. The objective of this research is to research and develop novel computer vision techniques for the following visual based ambient assisted living systems:  (1) Dining hand posture (2) Water drinking hand gesture (3) Eating hand gesture

Project title: GPGPU Accelerated Video Analytic Algorithm Parallelization Enabling Massive Image Data Processing
Funding source: Ministry of Science, Technology & Innovation Malaysia
Project description:
 This research project, in collaboration with MIMOS, is to research, design and implement multi parallelized video analytics for a multi camera platform using GPGPU. The project objectives are (1) To propose novel parallelism technique(s) for multi-camera video analytics  algorithms for surveillance in particular ROI based motion detection, intrusion detection, line intrusion and slip and fall detection. (2) To research, redesign selected video analytics algorithms (as mentioned above) and implement utilizing GPUs for high speed, accuracy and large number of data-set processing enabling scalability (3) To propose novel performance and resource optimization technique(s) of offloaded mechanism for video analytics in GPU for multiple image analysis. (4) To test the implemented selected parallelized video analytics prototype for large number of cameras in heterogeneous hardware platform.