Research Centre in Information Technology (RCIT)
RCIT is aimed at fostering innovation, research, and development within the field of IT. Its research priorities bring together and thematise the strengths of CIHE’s PhD qualified IT permanent and sessional academics. It also services the development needs of early-career academics and future research students. These research priorities are listed below.
With the rapid evolution of technology and its increasing impact on every sector, there is a pressing need for a dedicated research facility that can address current challenges, drive technological advancements, and promote collaboration among academia, industry, and government.
Objectives
- Conduct High-Quality Research: To engage in cutting-edge research in various domains of information technology including artificial intelligence, cybersecurity, data analytics, software engineering and more.
- Promote Knowledge Transfer: To facilitate the dissemination of research findings through workshops, seminars and publications.
- Collaborate with Industry: To partner with technology firms and startups to address real-world problems and enhance the practical application of research outcomes.
- Support Multidisciplinary Projects: To encourage collaboration across disciplines to leverage technology in fields such as entrepreneurship and innovation, healthcare, education, accounting and finance and environmental sustainability.
- Develop Talent: To provide training, internships and mentorship programs for students and professionals to support skill development in information technology.
- Develop Capability to Support Research Degrees: Provide a vehicle for the development of Research Supervision capability among our early career researchers.
Priorities
The Research Centre focuses on the following key areas:
Addressing threats in digital security, privacy protection strategies, ethical hacking techniques, and the integration of Artificial Intelligence and Machine Learning in enhancing defence mechanisms.
Web Application Development and Software enabling the use of Big Data.
Development of smart systems, sensor technologies, and IoT security measures, and the application of edge computing and edge-cloud integration.
Machine learning, AI and Data Analytics (not only for IT but also for Accounting – see Accounting Structure Doc 4.2d). There are many applications of machine learning and data analytics in accounting.