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Intelligent Imaging This research area explores the use of soft-computing techniques such as the neural network, fuzzy, and genetic algorithm in imaging, image processing and multimedia systems. This has implications for the development of intelligent systems. Intelligent imaging techniques could potentially give significant benefits in geophysics for oil and gas exploration. This research area also covers the instrumentation, algorithm and design aspects of computer vision as monitoring and control tool. This discipline of research has important contribution to areas such as robotics, telemedicine, agriculture product improvements, automotive manufacturing systems, and process industries. A software model for identification of lung diseases has been validated, and fuzzy-neural algorithms developed. An intelligent imaging technique has been developed that can automatically grade diabetic retinopathy. Another project that is currently being pursued is automated monitoring of skin diseases. These projects are carried out in collaboration with the Ipoh General Hospital and the Kuala Lumpur General Hospital. Current research interests include: 4G Communication This research area is about developing broadband communication infrastructure. It encompasses next generation wireless technology that is expected to be both broadband and mobile - a necessary infrastructure on which demanding applications like telemedicine survives. The research, therefore, focuses on physical (PHY) as well as medium access control (MAC) layer technologies. The PHY layer work revolves around developing hardware efficient signal processing algorithms that can lead to efficient receiver designs for most systems. At the same time MAC layer work is more about providing resource-efficient connectivity while being mobile. At the Application layer, however, the focus is on developing applications suitable for telemedicine and also on securing the network and the applications. Theoretical analysis and developments are underway. Current research interests include: Industrial Automation This research area is concerned with investigating and evaluating different controller architectures and control approaches with a view to improve the commercial benefits in terms of manufacturing flexibility, plant development lead-times, and improved product quality. This research area explores the use of intelligent systems techniques as well as data acquisition system with a view to execute these knowledge on industrial applications including the oil and gas, food, transportation, and manufacturing industries. This research area covers the instrumentation, algorithm and design aspects of process tomography as a state monitoring and control tool. A demonstrator system using LabVIEW/Matlab/Simulink will be built which supports the integration of real-actuators and controllers with simulated process. An analysis and design of model predictive controller design algorithms for both linear and non-linear multivariable systems in the presence of constrains is in progress. Current research interests include: Sensor Technology This is a multidisciplinary research that involves material engineering, microelectronics, microprocessors, signal processing and analysis, and the knowledge of nano-molecular structures. This research area is concern with investigating and developing of direct control of materials and devices on a molecular and atomic scale. This has implications for development of intelligent sensors for example the nano-sensors. Experts have pointed this area of research as the area that will most likely to produce the breakthrough of tomorrow. This technology finds useful in various applications like process industries, telemedicine, automotive, electric vehicle, aerospace industry and also industrial application. Theoretical analysis and developments are underway. Current research interests include: Energy Utilization This research is concerned with the analysis of power system including Power Quality, operation and control, as well as signal processing and analysis, and energy conversions using various methodologies that include evolutionary computing and adaptive techniques. This discipline of research has important contribution to areas such as domestic appliances, telemedicine, automotive, aerospace industry, electric vehicles, and also industrial applications. The overall aim is developing an energy management system, established via computer modeling and simulation. This could potentially give significant benefits in improved energy utilization and reduced process costs. Current research interests include: Electromagnetic Compatibility (EMC) The term EMC means the ability of a device or system to function without error in its intended electromagnetic environment. Everyday example includes operating a vacuum cleaner causes "snow" on a TV, a telephone is damaged by lightning-induced surges on the phone line, and a laptop computer interferes with an aircraft's rudder control. These interferences are caused by electromagnetic emissions (EMI) from a device or system that interfere with the normal operation of another device or system. This research area emphasises the improvement of electronics packaging and the elimination of EMI. Current research interests include: System Level Integration The ability to design VLSI circuits and integrated circuits of smaller scale will continue to be very important. The important aspect of this research area is improving the densities and speeds on one chip. This research emphasizes the application of microelectronics to design and produce RF integrated circuits for wireless communication, ultra wideband (UWB) signal generation and measurement, and produce miniature mechanical, electrical and optical devices. These disciplines of research have important contribution to areas such as nanotechnology, telemedicine, electromagnetic compatibility (EMC), and also industrial automation. This could potentially give significant benefits in design and development of super fast devices, improved energy utilization, lighter-smaller-high density devices and reduced process costs. Theoretical analysis and developments are underway. Current research interests include: |
Tuesday, July 3, 2007
MSc & PhD IN ELECTRICAL & ELECTRONICS ENGINEERING
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