We are advancing sustainable and scalable AI by developing energy-efficient models, responsible data practices, and adaptable systems that can be deployed across diverse contexts without compromising ethical standards or long-term societal impact.
Capabilities
Efficient AI systems and infrastructure
Creating intelligent systems that balance model performance with resource efficiency by applying energy-efficient AI, edge computing, federated learning, and domain adaptation across fields like bioinformatics, agriculture, and medical imaging.
Emerging technologies for future-proof AI
Investigating advanced technologies—including GenAI, LLMs, computer vision, and quantum AI—to develop robust, adaptable, and scalable AI solutions for long-term societal impact.
AI for scientific and environmental advancement
Developing AI approaches that contribute to scientific discovery and promote environmental sustainability through innovative, interdisciplinary research.
Impact
- Neurodesk empowers clinicians and researchers with secure, customisable AI tools for medical imaging, accelerating research and improving patient outcomes without requiring technical expertise.
- AI-powered wheat canopy analysis used over 50,000 images to accelerate breeding decisions by enhancing trait extraction and segmentation across growth stages and environments.
Relatable projects
- Low-energy mobile devices
- Novel optimisation algorithms
- Evolutionary algorithms and optimisation
- Deep learning medical imaging
- Automatic medical image analysis
- Automatically identifying human disease 3D magnetic resonance imaging AI
- Artificial intelligence skin cancer diagnostics
- Digital pathology
- Personalised wearable robotics restoration walking function after stroke
- Movement neuroscience and computational neuromechanics
- Neuroengineering and rehabilitation
- Laser technology and early detection cancer
- Biomedical applications and devices
- Transforming big data smart into smart data
- Solar panels monitoring and management
- Wide-area power energy system monitoring
- Farming systems modelling
- Crop production forecasting systems regional scale
- Crop modelling