My Research

My research interest is mainly in the area of Computational Intelligence and Control. Specific areas of interest include learning systems, evolutionary systems, robotics, intelligent control systems, web intelligence and intelligent mobile robot navigation strategies. Recent contribution and projects in these areas are:


Ambient & Computational Intelligence - The combination of Wireless Sensor Network technology and computer intelligence techniques is used to make an inhabited environment with predictive capabilities. In such an intelligent inhabited environment the occupancy of different areas can be monitored continuously to adapt a technique in order to predict the future occupancy of different areas in the environment. One of the most important applications of this predictive feature is to assist elderly people to live independently; safe and in control. Research in this area will enable us to work and live in smarter environments. Furthermore, smart appliances providing often tremendous environmental, economical and social benefits for a variety of critical services. These services include:


    • assistive control systems for elderly and disabled people
    • industrial and environmental monitoring
    • bio-informatics and security
    • home and office automation
    • robotics and sensor network applicatio

Robot Tracking and Eye Gaze -This research investigates the use of eye-gaze tracking in controlling the navigation of mobile robots remotely through a purpose built interface. Controlling mobile robots from a remote location requires the operator to continuously monitor the status of the robot through some sort of feedback system. Assuming that a vision-based feedback system is used such as video cameras mounted onboard the robot; this requires the eyes of the operator to be engaged in the monitoring process throughout the whole duration of the operation. Meanwhile, the hands of the operator need to be engaged, either partially or fully, in the driving task using any input devices. Therefore, the aim of this research is to build a vision based interface that enables the operator to monitor as well as control the navigation of the robot using only his/her eyes as inputs to the system since the eyes are to be engaged in performing some tasks anyway. This will free the hands of the operator for other tasks while controlling the navigation is done through an intelligent interaction interface using eye-gaze tracking. More details is available from this link.


GPS Tracking for School Buses - Our innovative technology keep parents informed of their children's location at any given time. Parents will know if their children have reached their schools with our without any delay and they should also know when eaxtly will be expecting them back home. The system will work closely with schools and bus service providers to optimise their limited resources and communicate the information to parents and local authorities. More information available from SchoolsTransport.Com.

Learning and Adaptive Fuzzy Systems - The main advantage of a fuzzy inference system is its ability to utilise information expressed in linguistic form. Up until quite recently, the design of a fuzzy inference system is very much an art. The designer considers the knowledge accumulated and crafts the membership function(s) and/or the inference mechanism in the system. Often, these membership functions are fixed once the design process has terminated. It would be desirable to have a fuzzy inference system whose membership function parameters can be ``adapted'' or ``learned'' from input and output data.


More details about the my past projects are available from here.