Research projects funded by the European Commission, UKRI, and international bodies — spanning responsible AI, explainable AI, autonomous systems, and digital wellbeing.
PRESERVE aims to improve the daily investigative and preventive work of Law Enforcement Authorities, enhancing proactive threat detection and providing a regulatory-compliant framework for the responsible use of AI in crime detection and prevention.
ExtremeXP provides accurate, precise, and trustworthy data-driven insights by placing end users at the centre of the analytics process. Integrates explainable AI, machine learning, visual analytics, and knowledge engineering across crisis management, mobility, public safety, and cybersecurity.
Investigates the role of culture and digital design in triggering wellbeing concerns and mediating solutions. Proposes socio-technical interventions using psychological inoculation theory, with a focus on Qatari society as a case study.
Mirrored the decision-making process of upper gastrointestinal multidisciplinary teams managing oesophageal cancer, incorporating human-selected critical variables and machine learning to standardise data-driven clinical decisions. Royal Society Award Finalist 2025.
Examined how liability is perceived and communicated between autonomous vehicle drivers and third-party insurers, developing integrated mental models that help stakeholders understand their risks and responsibilities across different levels of vehicle autonomy.
Explored explainability as a factor in facilitating effective and trustworthy human-swarm interaction — investigating what questions an explainable swarm should answer and what types of explanations it should generate in safety-critical environments.
Investigated how concerns with AI in autonomous vehicles can be alleviated at each level of control handover, and what mechanisms can address consumers' concerns to increase trust and well-being in human-AI interactions.
Explored how intersectional approaches can inform the design and deployment of trustworthy autonomous systems towards an inclusive, fair, and just world — addressing equity through individual, technical, systemic, cultural, and institutional lenses in health and maritime sectors.