Research Group

Centre for Applied Data Science, University of Johannesburg

Prof. Samuel Fosso Wamba

Prof. Samuel Fosso Wamba’s primary research focuses on IT’s business value, supply chain management, electronic commerce, electronic government, ubiquitous computing, the understanding of the diffusion of technologies at the individual, organizational, inter-organizational, and society levels, and their impacts and transformations. Key enabling technologies of interest include radio frequency identification (RFID), blockchain, artificial intelligence, virtual reality, 3D printing, social media, business analytics, big data, and open data. His secondary research interests include IT-enabled disasters management, IT-enabled social inclusion, and green computing. More on:

Prof. Kelvin Bwalya

E-Government, Adaptive Warehousing, Blockchain

Prof KJ Bwalya is interested in areas around the automation of public business processes (e-Government as a Service). Of late, key interest is in the design of system integration models and interoperability frameworks, meta models for robotic process automation and the design of blockchain models. I welcome M and PhD students with interest in the following: semantic design of e-Government applications; design of blockchain-based applications; design of vehicle-to-vehicle information protocols; design of system integration modules; and design of adaptive warehousing implementation modules. All projects need to have a bias to information systems integration and information synthesis. A working capability of any meta language and object-oriented programming language is desired.

Prof Bwalya has been involved in a lot of consultancies in e-Government and Information Systems design in the SADC and the World Bank. He is a Fellow of the the Institute of Data Science and Artificial Intelligence and NRF rated researcher at CI (Established Researcher).

Prof. Abejide Ade-Ibijola

Artificial Intelligence and Applications

Prof. Ade-Ibijola is mainly interested in problems and algorithms in Artificial Intelligence, creating innovations for driving the 4th Industrial Revolution, building multi-domain AI-systems for tackling business, economic and society problems, the applications of formal grammars (string or picture grammars) in the synthesis of things, programs (analysis, comprehension, and/or synthesis), automation, special-purpose compilers, and applications of theoretical computing / mathematical structures to real world problems. He prefers research that does not only end in theoretical contributions that are demonstrated by good publications, but also has clear applications in everyday life, evident in the development of new technological tools to aid humans, and creation of intellectual property.

Prof. Hossana Twinomurinzi

Predictive Modeling of the Future of Work in Africa

Prof Hossana Twinomurinzi is interested in identifying which jobs are at risk as a result of the 4IR and what can be done about it. Over the past decades, computers and the associated artificial intelligence have substituted for a number of jobs. While nineteenth century manufacturing technologies largely substituted for skilled labour through the simplification of tasks, the 4IR has caused a hollowing-out of middle-income jobs. There is not much research around predictively modeling the impact of the 4IR on the future of work in developing countries nor in Africa considering the unique social and economic contexts. The purpose of this research is to apply data science tools, including machine learning, to answer questions relating to the future of work in Africa by economic sector and to make recommendations about what should be done.  One of the outcomes is to create predictive models for existing and future skills which models can predict which skills will soon be outdated and which skills should soon be coming in.

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