Research focus areas of Informatics lecturers

Prof Alta van der Merwe

Position: Deputy Dean Teaching and Learning (EBIT)
NRF rating: B3
Office: IT Building 5-82.2
E-mail: [email protected]
ORCID: 0000-0002-3652-7512

My research generally focuses on IS and Organizations. The majority of my students use design science as their research approach, mainly using qualitative data collection. My students are involved in the following research focus areas:

Enterprise Architecture (EA): EA approaches, data and process management within EA, modelling and adoption.
Society 5.0: Disruptive technologies, Data Science-related topics from an Organization perspective.
Design: Design of systems within an IS organization, Social-technical systems.
Design Science: Studying the approach of Design Science.

The research domains that I investigate include IS organizations and education.

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Enterprise Architecture, Enterprise Architecture Management
Innovation Cycles, methodologies, practices
Design Science;
IT Strategy for Society 5.0.

These keywords and concepts are relevant to my research. Enterprise Architecture, Enterprise Architecture Management, Innovation, Design, Data Science, Design Science, Industry 4.0.

Prof Hanlie Smuts

Position: Head of Department of Informatics, Professor
NRF rating: C2
Office: IT Building 5-78
E-mail: [email protected]
http://u p.ac.za/Informatics

ORCID: 0000-0001-7120-7787

As I have worked in industry until 2017, I work primarily in the field of Information Systems and Organisation focusing on

Knowledge exchange in organisation-outsource vendor relationships.
Management of knowledge assets and knowledge visualisation.
Enterprise Architecture and the application of knowledge about the enterprise.
The impact of digital business models / exponential organisations on knowledge management.
Combining knowledge in machines (Artificial Intelligence / Machine Learning) with knowledge in people for knowledge work.
Big data implications on knowledge management.
Industry 4.0 and big data management; disruptive technologies and business value.
Knowledge sharing in smart cities and digital twins.
Knowledge production in Society 5.0

The research domains that I investigate are are society 5.0, knowledge management, IT outsourcing, enterprise architecture, disruptive technologies and big data in organisations.

Topics that I am actively involved in are listed below. I will support students who are interested in related or similar research:

Any knowledge and knowledge management related research especially how it relates to IT outsourcing and Enterprise Architecture.
Aspects of Industry 4.0, digital disruption and digital transformation, such as the cross-functional nature of digital transformation strategies, alignment of Digital-IT-Business strategies over and above its alignment to business models.
The phenomenon of exponential organisations, often in the digital domain, their digital transformation and how they manage knowledge assets.
The impact and implication of big data on knowledge management in organisations.

These keywords and concepts are relevant to my research. Knowledge Management; Information Technology outsourcing; Enterprise Architecture; Digital Disruption; Digital Transformation; Big data; Knowledge visualisation; Artificial Intelligence for Knowledge Management (AI4KM); Knowledge Management for Development (KM4D).

Prof Machdel Matthee

Position: Professor
NRF rating: C2
Office: IT Building 5- 58
E-mail: [email protected]

ORCID: 0000-0002-6973-1798

My research generally focuses on 21st century skills (skills needed to function in a technology-dominated society) and the development thereof. The aim is to provide quality education and promote social well-being:

The development of 21st century skills in different communities: AI literacy, computational thinking, critical thinking, problem solving, communication, collaboration
Understanding the influence of genAI on 21st century skills
Understanding the need of 21st century skills to function in the age of AI
Understanding the use of genAI in education.
The use of technology in education
Societal implications of IS (and also AI): e.g. the changing nature of human agency, fake news.
Cybersecurity behaviour

The research domains that I investigate include schools, higher education institutions, organisations, communities and end-users.

Topics that I am actively involved in are listed below. I can support students who are committed to researching problems in one of the following:

GenAI and critical thinking
GenAI and personalised learning
Development of 21st century skills in the workplace
Fake news and critical thinking;
Detection of fake news;
Human-AI collaboration and communication
Cybersecurity behaviour

Keywords and concepts relevant to my research: Critical thinking, AI literacy, Change, Societal Implications, ICT and education, Disruption, Social media, Future, 21st century skills, Society 5.0, well-being.

Prof Marita Turpin

Position: Professor
NRF rating: C3
Office: IT Building 5-66.1
E-mail: [email protected]
ORCID: 0000-0002-4425-2010

Overview of my research focus areas appears below:

Developing 21st-century skills in IS and beyond. Effective teaching of 4IR skills, IoT concepts, critical thinking and problem solving.
Potential benefits and disbenefits of 4IR technologies (such as IoT) in developing countries..
The digital and platform economies. Opportunities and challenges related to the digital economy and platform technologies, in a developing country context.

The research domains that I investigate include the broad areas of the societal impact of disruptive technologies, teaching of 4IR/21st century skills, ICT for sustainable development.

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Teaching critical thinking and problem-solving in the IS domain
Teaching 4IR skills to working people with non-technology backgrounds
Teaching platform technology and 4IR skills to graduate students
Using critical thinking as a means to identify fake news
Developing community resilience and sustainability through ICT4D interventions
Societal impact of digital platform businesses and 4IR in developing countries
Application of fair work principles to digital platform gig workers

These keywords and concepts are relevant to my research. Societal impact of disruptive technologies, digital economy, 21st century skills, critical thinking, fake news, and sustainability in ICT4D.

Dr Henk Pretorius

Position: Senior Lecturer
Office: IT Building 5-65
E-mail: [email protected]
ORCID: 0000-0003-2051-5290

My research in general focuses on IS in Organizations, but also include technology and sport. I prefer a qualitative research approach. Research areas (in various combinations) that I focus on include:

Governance, fraud and corruption;
Process Management;
Women in ICT;
Innovative and future technologies (4IR, Robotic Process Automation, Artificial Intelligence, Social Media, etc.); and
Technology and sport.

IS research is of interdisciplinary nature that involves various organizational research contexts. The exception may be technology and sport.

Keywords: Process Management (Business), Women in ICT, Governance, Fraud, Corruption, 4IR, Robotic Process Automation, Artificial Intelligence, Social Media, Innovation, Technology in Sport, Disruptive technologies.

Prof Marie Hattingh

Position: Professor
NRF rating: Y2
Office: IT Building 5-67
E-mail: [email protected]
ORCID: 0000-0003-1121-8892

My research generally focuses on the role of Social Media in communities. I take an interdisciplinary view in applying either qualitative or quantitative approaches to study the following research focus areas:

Use of Social Media in different Communities. Reporting crime, finding missing persons, community upliftment, the integration and use of social media by governmental institutions, understanding how social media is used by online activists and the relationship with offline activism.
Influence of social media in different communities. Electronic word of mouth, social media influencers, digital entrepreneurs, social media incorporation into organisations, social participation.
Darker side of social media use. Positive and negative use of social media such as: darkweb, fake news, narcissism, FOMO, social media fatigue, addiction and the moral/ethical consequences of social media use.
The responsible use of technology by different communities. Evaluation studies of e-Textbook use by learners and their parents, technology use for special needs education.

The research domains that I investigate include Organisations, Government, Communities and Individuals.

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Understanding what aspects make social media influencer attractive (quantitative and qualitative)
Understanding the factors that drive electronic word of mouth participation
Understanding how organisations incorporate social media feedback/data into their organisation’s knowledge base
Understanding the constructs associated with FOMO and social media fatigue.

These keywords and concepts are relevant to my research: Community safety, eActivism, eGovernment, eWOM, Facebook, FOMO, netnography, social media, social media fatigue, social media influencer, text mining, Twitter.

Prof JP van Deventer

Position: Associate Professor
Office: IT Building 5-97
E-mail: [email protected]
ORCID: 0000-0002-3598-0921

My research generally focuses on IS and Organizations. I take an interdisciplinary view in applying mostly a quantitative approach to study the following research focus areas:

IT Value: Knowledge Representation, Enterprise Architecture, Unstructured Analytics, Text Analysis, Data Science
IS Implementation: Several domains of business, technology, people, infrastructure and market forces to change the Enterprise Architecture, symbolic representations of text and pattern analysis from one state to another

The research domains that I investigate include Knowledge Representation, Enterprise Architecture, Unstructured Analytics, Text Analysis and Data Science

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Enterprise Architecture in general and Knowledge Architecture in particular
Unstructured analytics and text analysis approaches
Fundamentals in Data Science and application thereof
Various forms of predictive modeling
The impact of artificial intelligence, big data and machine learning
Internet of things and the application of sensor networks
Pervasive and ubiquitous systems and computing especially security concerns
Ethics in general with a specific interest in concerns pertaining to procedural ethics

These keywords and concepts are relevant to my research. Knowledge Representation, Enterprise Architecture, Unstructured Analytics, Text Analysis, Data Science

Prof Funmi Adebesin

Position: Associate Professor
NRF rating: C3
Office: IT Building 5-73
E-mail: [email protected]
ORCID: 0000-0003-0512-016X

My research generally focuses on the use of information systems for Sustainable Development, specifically in the healthcare domain. I take a multidisciplinary view in applying either qualitative or quantitative approaches to work in the following specialized areas of study:

ICT use in period of pandemics: The role of ICTs in the fight against COVID-19
Digital health and 4IR. The role of the fourth industrial revolution (4IR) in the transformation of healthcare.
Social media and digital health. The influence of health social networks on health behaviour change and chronic disease management.
Consumer health wearable devices. Use of consumer wearables for self-tracking/self-quantification, security, privacy, ethical issues around tracking of health data.

The research domains that I investigate include National and provincial health departments, private and public healthcare facilities, users of consumer wearable apps devices, healthcare systems designers and developers.

Topics that I am actively involved in are listed below. I can support students who are committed to researching problems in one of the following:

The role of ICTs in the fight against COVID-19.
ICT interventions in the period of pandemics.
The role of the fourth industrial revolution (4IR) in the transformation of healthcare.
The influence of health social networks on health behaviour change and chronic disease management.
The influence of social media on health self-tracking/self-quantification.
Factors leading to resistance in the use of electronic medical record (EMR) systems.
User-centered approaches to the development of EMR systems.
User-centered approaches to the development of consumer wearable health devices.
Ethical, security, and privacy issues related to the use of consumer wearable health devices.
Legislation and policies for the protection of health data.
Impact of healthcare systems on healthcare professionals’ work processes.
Management and sharing of health data.
Usability and user experiences (UX) of consumer wearable health devices.
Usability and user experiences (UX) of mobile apps.

Keywords and concepts relevant to my research: Consumer wearable health devices, ICTs and COVID-19, digital health and 4IR, health social networks, health data ethics, health data privacy, health data security, usability, user-centered design, patient-driven care.

Prof Lizette Weilbach

Position: Associate Professor
Office: IT Building 5-69
E-mail: [email protected]
ORCID: 0000-0002-0827-2444

My research focuses on the transformative impact of technology within the framework of Society 5.0, emphasizing its applications across various societal and business contexts. I explore how technologies such as AI, social media, and disruptive innovations influence social and emotional well-being, optimize business processes, and enhance educational experiences. This includes, but is not limited to, the following areas:

Technology in Society 5.0: Investigating the role of various technologies, including AI, in shaping Society 5.0, where technology seamlessly integrates into everyday life to enhance human well-being and address societal challenges. This involves examining the impact of technology on social interactions, mental health, and the ethical considerations surrounding its use.
Business Analysis and Technology: Leveraging my expertise in business analysis to explore how technologies can optimize organizational processes, drive innovation, and solve complex business problems. I utilize Design Thinking methodologies to develop user-centric solutions that address both organizational and societal needs.
Disruptive Technologies: Studying how emerging technologies, particularly disruptive innovations, impact traditional business models and social structures, influencing behaviour and operational efficiencies in various sectors.
Small and Medium Enterprises (SMEs) and Innovation: Focusing on the innovative capacity of SMEs, examining how they can leverage technology to enhance their competitive edge, drive growth, and contribute to economic development. This includes exploring best practices, challenges, and opportunities for innovation within SMEs.
User Experience (UX) Design: Enhancing human-computer interaction aspects of information systems to improve user satisfaction and overall experience. This involves applying insights from technology to UX design, focusing on creating intuitive and effective interfaces.
Social Media and Technology Use: Investigating how social media platforms and other technologies impact mental health and societal interactions, focusing on phenomena such as FOMO (Fear of Missing Out), cyber-bullying, and the overuse of technology.
ICT in Education: Exploring the application of information and communication technologies to support and enhance quality education. This includes researching innovative tools, techniques, and approaches for both face-to-face and online teaching and learning environments, aiming to improve educational outcomes through technology.

By focusing on these interconnected domains, my goal is to harness the power of technology to foster well-being, drive business innovation, and enhance educational experiences. I support postgraduate students interested in investigating these topics, contributing to the development of knowledge that promotes a technologically advanced and human-centred society.

Keywords: Society 5.0; AI use and consequences; disruptive technologies; UX Design; Social Media use; cyberbullying; technology to enhance teaching and learning; business analysis; Design Thinking; SMEs and innovation.

Prof Tendani Mawela

Position: Professor
NRF rating: Y2
Office: IT Building 5-99
E-mail: [email protected]
ORCID: 0000-0003-0574-3340

My research generally focuses on IS and Organizations. I take an interdisciplinary view in applying either qualitative or quantitative approaches to study the following research focus areas:

Digital Government (E-Government). The use of information and communication technologies to support the policies and operations of government.
ICT for Development (ICT4D). The relation between information and communication technologies and development.
Digital Skills (E-Skills). The skills and capabilities required to take advantage of the opportunities afforded by ICT’s and mobile technologies.

The research domains that I investigate include Public sector organizations, citizens and other e-government user communities.

Topics that I am actively involved in are listed below. I can support students who are committed to researching problems in one of the following areas:

ICTs for service delivery, citizen participation and governance.
Social media for civic engagement and political participation.
The role of ICTs in social and financial inclusion.
Opportunities, challenges and implications of emerging and disruptive technologies in government.
The systematic review of Digital Government, Digital Skills and ICT4D literature.

These keywords and concepts are relevant to my research. Digital Government, e-Government, Mobile Government (m-Government), Smart Governance, Digital skills, e-Participation, e-Democracy, ICT for Development (ICT4D), Sustainable Development Goals (SDGs), Digital Divide, Digital Inclusion, Social Media, Systematic Literature Reviews.

Prof Riana Steyn

Position: Professor
NRF rating: Y2
Office: IT Building 5-66
E-mail: [email protected]
ORCID: 0000-0002-9841-2497

My research generally focuses on Entrepreneurs from an educational perspective. I focus my research on Entrepreneurial skills development and how this can be achieved through various avenues, thus focusing my research on:

Micro-credentials (Badges) and the role they play to increase entrepreneurial skills levels
The effect of Nano-teaching and learning on Higher education and/or entrepreneurs
Educational technologies to increase skills development
Entrepreneurs and the adoption of IT in their business
IT training and skills development needs of entrepreneurs

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Micro-credentials (badges) to increase skills levels
Educational technologies and teaching online
SME and IT adoption
Entrepreneurial IT adoption approaches
IT training needs for entrepreneurs

These keywords and concepts are relevant to my research. IT adoption, entrepreneurs, SMEs learning approaches, Micro-credentials, Nano-teaching and learning

Prof Olawande Daramola

Position: Professor
NRF rating: C3
Office: IT Building, Room 5-71
Email: [email protected]
ORCID: 0000-0001-6340-078X

My research generally focuses on Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data analytics, Applied Software Engineering, and Intelligent Information systems in organisations. I am particularly interested in how AI technologies such as ontologies, knowledge graphs, machine learning, expert systems, large language models (LLMs, GPTs) can be used to enable AI capabilities in real-world domains such as healthcare, education, finance, commerce, organisations, government, and society. Thus, I have conducted my research activities in intradisciplinary (Computer Science, IT, IS) and multidisciplinary spaces using quantitative and qualitative approaches.

Topics that I am actively involved in are listed below. I will support students who are interested
in related or similar research:

Explainable AI
Causal AI
Ontology engineering
Semantics-based systems using NLP, ontologies, knowledge graph
Machine learning, deep learning
Large Language Models (LLMs) (development and fine-tuning)
Big data analytics
AI adoption and AI capabilities in organisations
Business analytics
Requirements engineering
Empirical software engineering

For more details on ongoing research visit: https://sites.google.com/site/wandesnet/home

Google scholar page: https://scholar.google.com/citations?user=B2uyXAUAAAAJ&hl=en

Dr Nita Mennega

Position: Senior Lecturer
Office: Building IT 5-98
Email: [email protected]
ORCID: 0000-0003-0893-7810

My research on IS and the IS workforce focuses on two of the UN’s Sustainable Development Goals: Decent Work & Economic Growth and Gender Equality. I take a multidisciplinary view in applying either qualitative or quantitative approaches to the following specialized areas of study:

IT labour market - Shortage of IT professionals, gender issues, diversity issues
ICT and education - Digital literacy in developing countries
ICT for development - digital adoption and use in developing countries
Digital Citizenship - responsible and ethical use of technology, navigating digital environments with respect, privacy awareness, and critical thinking

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Factors that influence students' decision to enroll for an IT qualification
Women in the IT workforce
Digital Skills development
ICT and Education

The following keywords and concepts are relevant to my research: digital citizenship, digital skills, gender and Information Technology, and ICT4D.

Dr Mike Nkongolo

Position: Senior Lecturer
Office: IT Building, Room 5-100
Email: [email protected]
ORCID: 0000-0003-0938-113X

My research focuses on Network Security, Deep Packet Inspection (DPI), Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML). I take a multidisciplinary view in applying experimental and model-building approaches to work in the following specialized areas of Information Science (IS), Computer Science (CS), and Information Technology (IT):

Artificial Intelligence (AI): Developing intelligent systems that can learn, adapt, and solve complex problems.
Cybersecurity: Protecting information systems against threats, with emphasis on secure data handling and defense mechanisms.
Machine Learning (ML): Applying algorithms to extract insights from data and improve predictive models.
Natural Language Processing (NLP): Enabling computers to understand and process human language for applications like text mining and sentiment analysis.
Applied Data Science: Using computational techniques to address real-world challenges across disciplines.

Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Artificial Intelligence (AI)
Cybersecurity
Machine Learning (ML)
Natural Language Processing (NLP)
Cryptography
Information Retrieval
Applied Data Science within Information Science (IS), Computer Science (CS), and Information Technology (IT).

The keywords and concepts relevant to my research are ML innovations in IDS, Sentiment classification in social networking data, Security frameworks for industrial control systems, Traffic classification and network security innovations, Software architecture and decision-making frameworks, Ransomware threats and detection mechanisms, Semantic integration of building data models, Forensic insights into Internet of Things (IoT) devices, Distributed methods for big data regression.

Dr Deborah Oluwadele

Position: Senior Lecturer
Office: IT Building, Room 5-65
Email: [email protected]
ORCID:

My research generally focuses on leveraging Information systems and technology for sustainable development in healthcare. I use data science techniques to extract intrinsic meaning from data and machine learning algorithms to build models that improve organizational performance in the following specialized areas of study:

Capacity building in healthcare through e-learning design, monitoring, and evaluation in medical education.
Product design, management, and evaluation in healthcare.
User requirement engineering in health product development.
Electronic Medical Record implementation in healthcare.
Change management in healthcare.

The research domains that I investigate include public and private healthcare operations, healthcare device manufacturing companies, medical education institutions, and health informatics organizations. Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

E-learning implementation, monitoring, and evaluation in medical education.
Wearable computing in healthcare.
Health technologies design, development, implementation, and impact assessment (Virtual Reality, Artificial Intelligence, Blockchain, Cloud Computing, IoT, Telehealth.)
Clinical Information Modelling.
Customer Journey Mapping in Healthcare.
Primary and secondary data analysis in healthcare.

The following keywords and concepts are relevant to my research: e-learning in medical education, electronic medical records, telemedicine, Sustainable Development Goals, product management, and product design.

Prof Timothy Adeliyi

Position: Associate Professor
NRF rating: Y2
Office: IT Building, Room 5-76
Email: [email protected]
ORCID: 0000-0002-8034-1045

My research generally focuses on Data Science, IS, and organisations. I approach my research in the following specialized areas of study from a multidisciplinary perspective, using both qualitative and quantitative approaches:

Sentiment Analysis: The development of a hybridized sentiment analysis model for better public governance
Fake news: Detection of online fake news using ensemble machine learning
Analysing Channel Surfing Behaviour of IPTV Subscribers Using Machine Learning Models
E-learning monitoring and performance evaluation in education

The research domains that I investigate include 4IR, social media, multimedia systems, eGovernment, IS and organisations. Topics that I am actively involved in are listed below. I can support students who are committed to researching suitable topics in one of the following areas:

Ensemble machine learning and deep learning
Techniques for detecting rapid changes in the crime trends
Understanding the factors associated with credit card churning
Converged networks and wireless sensor networks
Fake news and hate speech detection

The following keywords and concepts are relevant to my research: social media, multimedia systems, Fake news, crime trends, sentiment analysis, data science.

Dr Neetu Ramsaroop

Position: Lecturer
Office: IT Building, Room 5-67
Email: [email protected]
ORCID: 0000-0002-8021-1769

I work in the field of Information Systems (IS) and Artificial Intelligence- (AI) with a focus on:

Artificial Intelligence (AI) systems and sustainability.
Ethical considerations with AI systems
Dark patterns within AI systems (regarding development considerations and ethics)
Alternate Energy Systems (ES) with an integration of AI
Trends in IS focusing on development methods (AI development methods)
Internet of Things (IoT) systems integration with IS/ data analytics/ data science
The research domains that I investigate are sustainability using AI systems, green energy, IS development trends with AI, data analytics/data science in AI systems and development, and energy harvesting systems integration with AI systems.

Topics that I am actively involved in are listed below. I will support students who are interested in related or similar research:

AI systems and sustainability for organisations/ educational institutions
Dark patterns and the ethical considerations for AI systems/apps.
Impact of data analytics integration in IS / AI systems (ethical aspects included)
Green computing/alternate ES/sustainability in software development/AI systems
These keywords and concepts are relevant to my research: green energy, sustainability, artificial intelligence, information systems development, IoT, data analytics, alternate energy, dark patterns, artificial intelligence ethics.

Dr Senate Mafike

Position: Lecturer
Office: IT Building, Room 5-93
Email: [email protected]
ORCID: 0000-0001-5512-4447

My research generally focuses on IS and Organisations, with a particular focus on cybersecurity, technology adoption, and the transformative impact of digital technologies in society and organizations. I take an interdisciplinary view in applying mostly qualitative and quantitative approaches to study the following research focus areas:

IS Innovation and adoption in organisations
Societal impact of ICT in society, organisations, and education
Socio-technical issues relating to ICT and Cybersecurity
Emerging and disruptive technologies such as AI and Blockchain, particularly focusing on security issues, ethical use, sustainable development, and societal impact of the emerging technologies

The research domains I investigate include various organisational contexts such as enterprises, schools, institutions of higher learning, and communities. I can support students who are committed to researching problems in one of the following:

Adoption and diffusion of emerging technologies: implementation, readiness, interoperability, integration, and change management.
Societal and cultural impacts of digital technologies.
Ethical use and sustainable development of digital technologies.
Use of ICT to enhance teaching and learning, transform teaching practices, and address systemic challenges
Cybersecurity: Privacy, trust, and behavioural and human aspects of cybersecurity.
Cybersecurity in emerging technologies: security vulnerabilities and threats in emerging technologies and the role of technology in addressing cybersecurity issues.

Dr Edmore Chindenga

Position: Senior Lecturer
Office: IT Building, Room 5-102
Email: [email protected]
ORCID: 0000-0003-0506-0144

My research generally focuses on human-centric and innovative and future technological systems aligned with the vision of Society 5.0. I explore secure, intelligent, and ethical technologies that prioritize trust, privacy, and autonomy while addressing the challenges posed by interconnected and data-driven environments. I am actively involved in the following areas of research and welcome students committed
to exploring these topics or similar challenges:

Cybersecurity
Smart Environments
Privacy, Ethics, and Responsible AI
Agentic AI Systems
Urban Informatics
Digital Twin Technology
Secure and Usable Systems Design
IoT & Cyber-Physical Systems
AI for Sustainable Development

Research Clusters: Society 5.0, HCI, ICT4D

Dr Wesley Moonsamy

Position: Senior Lecturer
Office: IT Building 5-59
E-mail: [email protected]
ORCID: 0000-0003-4285-236X

My research generally focuses on Digital Health, Smart Cities, Enterprise Architecture and Artificial
Intelligence in Education. I conduct research in the following areas:

Digital health architecture designs: sharing real-time information, combining information from disparate sources, connecting people to information
Digital health for smart city designs: real-time sharing of information with the public
Applying enterprise architecture principles to Digital Health designs
Artificial Intelligence in education: Understanding the effects of traditional versus Artificial Intelligence based teaching and learning methods

These are some of the topics I am currently working on:

Digital health designs for smart cities
A single electronic health records for South Africans
Digital health design models for sharing real-time information
Reflective research on industry and academia
Artificial intelligence as a learning aid for postgraduate students