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 Logo iCE

Instrumentation and Control Engineering (iCE)  is one of the research cluster in Faculty of Electrical & Electronics Engineering which focusing on instrumentation, control, engineering optimization and robotics research fields. iCE is divided into three focus/research groups as initiative towards organizing Center of Excellent (CoE):


Robotic and Unmanned Systems (RUS):

RUS was organized on May 2012 under Instrumentation & Control Engineering (iCE) research cluster in Faculty of Electrical & Electronics Engineering (FKEE), UMP. As its name comply, RUS is focus on robotics and unmanned system mechanism, control systems and vision/image-based control specific on humanitarian, rehabilitation and assistive robotics for hazardous, beyond-human-ability and unachievable area such as:

Deep ocean exploration and operation
Oil and Gas Industry and process
Mine, mineral and material industries
Home appliances & medical assistance
Medical Engineering
Control and Instrumentation (COINS):

This group comprises a mixture of well experienced and young and vibrant academics. The teams work in two complementary research themes - control and instrumentation. The group has made considerable endeavours to solve challenging scientific and technological problems through research programmes funded from the UMP internal grant, Minister of Higher Education (MOHE) and Ministry of Science, Technology and Innovation (MOSTI). The group's expertise lies primarily in sensors, instrumentation, optical sensors, signal processing, tomography, neural networks, fuzzy logic control,  robust control and estimation, and embedded system design. Since 2008 the group has published more than 30 peer reviewed journal papers and over 100 refereed conference papers.


Engineering Optimization:

The engineering optimization research group has interests in all aspects of computational intelligence and soft computing in solving complex engineering problems. The group has an international reputation for its work in a number of of key application areas. These include DNA computing, VLSI routing, printed circuit board inspection, gene interactions, cancer classification, and evolutionary computing.

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