Research

Artificial Intelligence and Machine Learning

My AI and ML research focuses on building data-driven models that support decision-making in complex, real-world environments. The work emphasises practical modelling approaches that balance predictive accuracy with interpretability and deployability. Across multiple application areas, the focus is on robust feature design, meaningful evaluation, and model choices that are sensitive to data quality, operational constraints, and real-world variability.

This research also prioritises responsible and efficient ML developing lightweight approaches that can operate on-device and in low-resource settings, while remaining reliable under noisy signals and changing conditions. The broader goal is to use ML as an enabling capability for applied analytics and intelligent systems, supporting improved outcomes in areas such as performance prediction, sensing-based health support, and operational decision-making.

Human Computer Interaction 

My HCI research is anchored in interaction design for international development (HCI4D), with a focus on designing technologies that are usable, trustworthy, and inclusive in resource-constrained and high-risk contexts. It examines how design decisions shape user behaviour, trust, and safety, especially in domains where users are vulnerable to digital deception, exclusion, or harm. A core emphasis is human-centred security and responsible interaction design, where systems are designed to protect users without increasing cognitive burden or reducing accessibility.

Methodologically, this research combines user experience evaluation, interaction design frameworks, and socio-technical analysis. It draws on real-world user feedback and context-aware design practices to identify barriers to adoption and to translate user needs into practical design principles. The overall aim is to produce HCI knowledge and design guidance that strengthens digital responsibility, improves user wellbeing, and supports equitable technology use in developing contexts.

Cybersecurity and Digital Trust

My cybersecurity and digital trust research investigates how digital systems can be designed to be secure, resilient, and trustworthy—particularly for online channels where identity abuse, fraud, and manipulation are prevalent. This work addresses both technical and human factors, focusing on how verification, detection, and accountability can be strengthened without undermining usability. A key theme is secure digital infrastructure that supports trustworthy access and decision-making in environments where risk is evolving rapidly.

The research spans fraud prevention, adversarial threats to detection systems, and operational security mechanisms that improve governance and reliability. It also explores how identity assurance can be strengthened through multi-layered verification and auditable trust mechanisms, and how security analytics can support attribution and response. Overall, the aim is to build systems and methods that improve trust, reduce harm, and strengthen digital resilience in developing contexts.

Fourth Industrial Revolution (4IR) and Industry 5.0 Technologies

My 4IR and Industry 5.0 research focuses on how emerging digital technologies can enable digital transformation and public-sector innovation, while supporting socio-economic development in emerging contexts. This work examines adoption and implementation challenges such as infrastructure instability, skills constraints, and governance gaps, and explores how technology strategies can be aligned with institutional realities. A strong emphasis is placed on ensuring that innovation is not only technically feasible but also sustainable, human-centred, and equitable.

Industry 5.0 themes in my work emphasise human-centric transformation—integrating advanced technologies with cognitive, organisational, and infrastructural considerations. The research also engages with digital public services, transport and mobility systems, and technology-enabled service delivery. Overall, the goal is to develop frameworks and evidence that support responsible technology adoption, improve service outcomes, and strengthen resilience in the face of real-world constraints.

Teaching and learning-ICT4D

My ICT4D research investigates how inclusive technology solutions can address persistent inequalities in access, participation, and service delivery within developing contexts. This work focuses on designing systems that respond to on-the-ground realities such as limited resources, fragmented services, and diverse user needs. A central commitment is to expand digital inclusion and capability, especially for groups that face structural barriers in education, healthcare, and public services.

This research is fundamentally socio-technical: it examines not only the technology but also the institutional, cultural, and human factors that shape whether solutions succeed or fail. It prioritises practical pathways to impact, including design guidance, frameworks, and implementation considerations that improve adoption and outcomes. The overarching aim is to support equitable, context-aware innovation that strengthens access, continuity of care, and meaningful participation in the digital society.