Research Themes
Our research themes bring together artificial intelligence, robotics, sensing, and digital health to address major healthcare and environmental resilience challenges through collaborative and applied innovation.
Core Research Areas
AI-Enabled Falls Prevention
Real-time fall-risk prediction using wearable sensors, gait analysis, and intelligent monitoring systems to support elderly populations and reduce injury risk.
Industry 5.0 Healthcare
Human-centric healthcare systems that combine robotics, automation, and intelligent technologies to improve efficiency, safety, and personalised care.
Exoskeleton Robots
Adaptive robotic systems designed to support rehabilitation, mobility recovery, and assisted movement across different stages of patient care.
Autonomous EVs
AI-driven electric vehicles developed for emergency response, search and rescue operations, and disaster relief in challenging environments.
Body Area Networks
Implantable and wearable sensor networks for continuous health monitoring, chronic disease management, and improved patient data collection.
IoT Healthcare Ecosystem
Connected healthcare systems that use real-time data, smart sensing, and integrated platforms to support proactive and responsive patient care.
Digital Health & AI
Predictive modelling, intelligent diagnostics, and precision medicine approaches that use data and machine learning to improve healthcare decisions and outcomes.
Our Approach
We combine engineering, computing, healthcare knowledge, and international collaboration to create practical, scalable, and human-centred solutions for future healthcare systems.
These themes reflect a strong commitment to interdisciplinary research, real-world application, and long-term impact across the UK and ASEAN regions.