The Data Science and Engineering Research Unit (DSERU) is a research unit located in the Faculty of Business, Justice and Behavioural Sciences, within the School of Computing, Mathematics and Engineering. The research conducted by DSERU is centered around data-driven analysis in various fields, including data mining, machine learning, machine vision, cybersecurity, network simulation and modeling, computational intelligence, and robotics. The unit applies these areas of expertise to address real-world problems in information technology and engineering disciplines.
We develop novel techniques and algorithms for all steps of data mining starting from data pre-processing and cleansing to future prediction and policy/strategy development.
One of the aims of the MaViDH research group is to tackle issues related to Digital health research for remote people.
The aim of this Group is to address the security issues that accompany the advancements in information and communication technologies (ICTs).
The group's focus is to design, model, develop or apply technology to solve real-world problems in industries such as agriculture, viticulture, environment, and law enforcement.
The Advanced Networks Research Lab (ANRL) aims to address various challenges in the use of wired and wireless networks.
The Sustainability in Engineering Research Group (SERG) offers promising solutions for both emerging and existing environmental challenges.
The School of Computing, Mathematics and Engineering is a multi-campus school offering courses in Information Technology, Computer Science, Games Programming, and Mathematics and Statistics, in both on-campus and online modes and Engineering on-campus. It boasts an excellent research record with a focus on applied research in emerging areas of Cyber Security, Artificial Intelligence, Data Mining, e-Health, Image Processing, ICT Security, Applied Mathematics and Statistics.