SYNTERAResearch Group

Research

Six areas of applied AI

AI for health, smart health homes, agriculture, education, the Internet of Things and the Internet of Vehicles.

AI for Health

SYNTERA Health

Health systems generate more data than clinicians can read. AI can turn images, signals and records into earlier, fairer and more personal care, provided it is trustworthy and fits clinical practice.

  • Disease prediction
  • Medical imaging
  • Remote monitoring
  • Wearables
14 team members

Smart Health Home

SYNTERA Home

Most people want to age in their own homes. Passive sensors and AI can support independence and safety, if people and carers trust them.

  • Elderly care
  • Fall detection
  • Ambient assisted living
  • Home sensors
3 team members

AI for Agriculture

SYNTERA Agri

Food systems face climate pressure and volatile markets. AI can help farmers and policy makers see problems sooner and plan with better forecasts.

  • Crop disease detection
  • Precision farming
  • Smart irrigation
  • Yield prediction
4 team members

AI for Education

SYNTERA Edu

Generative AI is changing how students learn and how institutions assess. Evidence-based frameworks can help education use it responsibly.

  • Personalized learning
  • Learning analytics
  • AI tutors
  • Student success
12 team members

Internet of Things

SYNTERA Connect

Billions of small connected devices sense and act in the real world. They need to be secure, lightweight and intelligent at the edge.

  • Edge AI
  • Sensor networks
  • IoT security
  • Energy-efficient devices
10 team members

Internet of Vehicles

SYNTERA Mobility

Connected vehicles need fast, safe and secure communication with other vehicles and infrastructure to make roads safer and transport smarter.

  • V2X communication
  • Traffic prediction
  • Driver safety
  • Smart transport
3 team members

Core AI & methods

The toolkit behind every area

Machine learning, deep learning, language and vision models, explainable and trustworthy AI, and cybersecurity are shared across all six areas.

Machine LearningDeep LearningArtificial IntelligenceCybersecurityNLPComputer VisionExplainable AI (XAI)Information Systems