Our research underpins the University Strategy 2030 that orients around the themes of social justice and environmental sustainability, and the pillars of people, place, and partnership.
Research conducted at the University of Hull covers the largest length scales possible. Spanning the cosmological scale in the E.A.Milne Centre for Astrophysics to reveal our place in the universe, through to the biological and microscopic in the advancement of wound treatment, our research is not only diverse, but impactful, as judged by recent Research Excellence Framework returns. DAIM seeks to enhance this research, not only within the Departments of Computer Science and Technology, and Physics and Mathematics, but encompass the Faculty of Science and Engineering itself, and our sister faculties within the University.
“We undertake fundamental research at the interaction of deep machine learning and natural language processing, and work with local and global partners to develop AI-driven solutions to real-world problems towards a sustainable environment and society. Our recent projects include social media analysis for detecting mental health issues and monitoring floods, using AI to monitor sea water quality, and improving the reliability of wind farms to contribute towards a carbon net zero future.”
- Dr. Nina Dethlefs Senior Lecturer in Computer Science and Technology
New quantum models will help detect the building blocks of life in space
Physics-informed machine learning for rapid fatigue assessments in offshore wind farms:
Natural language processing (University of Hull and University of Lincoln)
Using AI to improve the reliability of wind farms
Using AI to combat climate challenges
E.A.Milne Centre for Astrophysics