Introduce to you our research groups

Virtual, Vision and Visualization Research Lab (UTM ViCubeLab) is  a cross-disciplinary research group in computing whose primary focus and activities revolves around the design, implementation and application of computer graphics, computer vision and virtual environment, simulation and immersive visualization theories.

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).  We welcome joint research and development, and Industrial collaborations in our fields of interest.  We are looking forward developing IoT-based products and services to different sectors such as transportation and agriculture.

The Applied Industrial Analytics Research Group is created to serve as a platform for collaboration between industry and researchers from higher education institution. Our mission is to foster collaboration by embracing industry driven research culture, provide innovative and creative solution utilizing current technology in analytics that suit industrial needs.

Intelligent informatics is an interdisciplinary field that combines principles and methods from computer science, artificial intelligence, statistics, and other related fields to create intelligent systems or solutions that employ advanced algorithms and models to process, analyze, and interpret large amounts of data. Key research areas within intelligent informatics include Artificial Intelligence, machine learning, deep learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, bioinformatics, intelligent software engineering, intelligent networked systems, NLP, Social Informatics, Design Science Research, and more.

The goal of Information Assurance and Security Research Group (IASRG) is to promote research in information assurance and security in ICT, and produce qualified human capital in this area and viable innovation research products. IASRG focuses on issues related to the protection of information and communications services and infrastructure systems. The three key focus areas 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.

SERG is actively involves in the research efforts that aims to improve the techniques, methods, processes and tools for development and maintenance of software systems. The contributions of our research activities extend over various software engineering knowledge areas with the focus on certain research themes such as Software Modeling, Software Testing and Software Reusability. The research results may be applied to a variety of application areas ranging from small embedded systems to large scale software applications. We welcome industry and organization member or prospective research students to join us in enhancing the state of software engineering research and practice.

Blockchain technology is an advanced database mechanism that allows transparent information sharing within a business network. A blockchain database stores data in blocks that are linked together in a chain.

Cyber security refers to every aspect of protecting an organization and its employees and assets against cyber threats.

Data science utilizes advanced machine learning, artificial intelligence, and predictive analytics techniques to uncover patterns, trends, and correlations within large datasets.

AI simulates human intelligence to perform tasks and make decisions. ML is a subset of AI that uses algorithms to learn patterns from data. DL is a subset of ML that employs artificial neural networks for complex tasks. AI may or may not require large datasets; it can use predefined rules.

We harness the transformative power of immersive technologies across multiple platforms. Whether it is an engaging AR app, an immersive VR game, or an immersive Metaverse, we can build it across all platforms.

Software engineering and intelligent systems are two dynamic and interrelated fields that have witnessed significant advancements and transformations.

Cloud computing is very efficient as virtualization means many users can share the same physical resources. Web 3.0 and Cloud computing.