Data Science Research Unit (DSRU) is in the Faculty of Business, Justice and Behavioural Sciences and focuses on machine learning, machine vision, cybersecurity, simulation and modelling, computational intelligence and robotics as well as the application of these fields to real-world problems
|Sarah Condran||Michael Bewong, Zahid Islam and Lancelot Maphosa||Intelligent Agronomy: towards effective and explainable machine learning models|
|Danny Falero||Ashad Kabir, Lihong Zheng and Michael Bewong||Machine learning for detecting COVID-19 severity from chest x-ray|
|Jannatul Ferdous||Rafiqul Islam, Zahid Islam and Maumita Bhattacharya||Analysis of malware data using ML algorithms|
|Abraham Oh||Zahid Islam, Rafiqul Islam and Ryan Ip||Application of data mining on financial market prediction|
|Dylan Warman||Ashad Kabir, Michael Bewong and Quazi Mamun||Towards developing a tool for automatically detecting fake news|
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 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.