Research in the department is mostly funded by the government and local industries. We look for collaborations with institutions and industry to contribute to the advancement of knowledge and also the filling in the technology chasm that can further develop the country into a more prosperous, healthy and smart nation. There are several main types of research projects in the faculty .

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Research Groups
Pervasive Computing Research Group (PCRG)
Pervasive Computing Research Group (PCRG) focuses on research and development in the field of Pervasive Computing (PC). This computing approach is an emerging field, and it promotes new paradigms for computing models in the 21st century. Tremendous progress in PC technologies which include cloud and mobile computing, wireless communications and networking, and sensors, and the like, have led to the evolution of Internet of Things (IoT). PCRG welcomes joint research and development, and Industrial collaborations in our fields of interest. The group is looking forward developing IoT-based products and services to different sectors such as transportation and agriculture.
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Informative Assurance & Security Research Group (IASRG)
The goal of Information Assurance and Security Research Group (IASRG) is to promote research in information assurance and security in ICT, produce qualified human capital in this area and viable innovation research products. IASRG focuses on issues related to protection of information and communications services and infrastructure systems. The three key focus areas of the group are Cyber Security, Multimedia Security, and Disaster Management. Through these research findings, the group intends to increase security awareness among the community and strives to influence appropriate and effective public policy in the area of information assurance and security.
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Soft Computing Research Group (SCRG)
SCRG focuses on research and education in machine learning and soft computing. In machine learning, algorithms are studied and developed that can learn from and make predictions on data to make data-driven predictions or decisions. In soft computing, imprecision, uncertainty, partial truth, and approximation in data are dealt to achieve practical, robust and low-cost solution to problems. The group expertise includes but not limited to Neural Networks, Support Vector Machines, Fuzzy Logic, Bio-inspired and Evolutionary Computation and Probability-based Methods. The group has vast experience in applying our techniques, which also include computational statistics and mathematical optimization, in various application domains.
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Center of Excellence
UTM Big Data Centre
This CoE is rooted from Soft Computing Research Group (SCRG). Since 2011, the group has played the games in Data Science and Big Data until UTM Big Data Centre is officially established on 15 April 2014. The group has more than 20 years experiences in the field of Data Analytics, Machine Learning, Pattern Recognition, Computer Vision & Fundamental Aspect of Data Analytics. The expertises have been blended in Big Data Analytics, CUDA programming, Graphics Processing Unit (GPU)-based Machine Learning and Big Data Platform in GPU environment.
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