At EHU, we carry interdisciplinary AI research spanning a range of areas and themes. We also have dedicated research centres such as Centre for Data and Complex Systems Research and the Intelligent Visual Computing Research Centre.
AI in Health:
![A scientist using a test tube.](https://sites.edgehill.ac.uk/ai/files/2024/04/health-1024x576.jpg)
Our aim is to improve health and lifestyle through technology, including:
- minimally-invasive and automated monitoring
- medical Image & Video Analysis for Diagnosis-support.
We have a pioneering research in various areas, including:
- digital pathology
- breast cancer screening and diagnosis
- retina screening
- lung cancer
- pancreatic cancer
- Alzheimer’s early detection
AI in Robotics and Autonomous Systems
![Two students working on laptops with a robot looking into the camera.](https://sites.edgehill.ac.uk/ai/files/2024/03/Robotics-and-AI-1024x576.jpg)
- Multimodal AI
- Human-machine/vehicle/robot interaction
- Social robotics
- Intelligent vehicles
- Real-time traffic analysis
AI in Cybersecurity
![A female student working on her laptop on a sofa. In the background, four male students are working at a table. They are out of focus.](https://sites.edgehill.ac.uk/ai/files/2024/03/msc-cyber-security-1024x576.jpg)
Our aim is to improve security and privacy in computer systems and networks, and associated devices (including IoT), including:
- blockchain based security and privacy enhancing technologies and applications
- security and privacy by design
- security and privacy problems of Internet of Things and smart services and applications
- security and privacy problems of biometrics systems and applications
- malware analysis.
AI in Data Analytics and NLP (Natural Language Processing)
![A student looking at coding on a computer screen.](https://sites.edgehill.ac.uk/ai/files/2024/04/data-farming-1024x576.jpg)
Our work is on the core and applied aspects of Data Analytics, Data Science, and Machine Learning, for spotting patterns and behaviours (including violence) among others. Our work includes:
- LLM models.
- real-time machine learning & resource-efficient machine learning
- classification Imbalance
- data mining, pattern recognition & semantic analysis
- natural Language Processing and Text Mining
- social Media mining
- soft Computing Methods
- grammar Induction, Inference and Domain Specific Languages
- feature design and analysis
- AI Ethics
AI in Agriculture
![Data.](https://sites.edgehill.ac.uk/ai/files/2024/04/data-1024x576.jpg)
Our aim is to help improve the farming and agiculture through technology, including:
- plants phenotyping, using Computer Vision and AI.
- detection and identification of plant diseases, to prevent spread/infection.
- precision farming.
- monitoring and grading the post-harvest fresh produce.
AI in Law
![A law student reading notes from a laptop in a mock court room.](https://sites.edgehill.ac.uk/ai/files/2024/04/law-1024x576.jpg)
- Analysing legal documents, ethics of AI, Laws related to AI.
AI in Sports
![One Edge Hill Women's footballer, wearing green, is mid-kick, with two opponents in purple crowding her.](https://sites.edgehill.ac.uk/ai/files/2024/04/football-1024x576.jpg)
- Analysing Sports data