Here at the University of Nottingham Ningbo, China, we work very closely with our colleagues at the UK campus. Our research is organised through the below groups, with PhD students co-supervised by academics between both campuses, shared resources and collaborative grants targeting local, national and international funding sources.
The School of Computer Science at the University of Nottingham, UK was established 30 years ago and is currently a leading centre for computer science research. Our world-leading research engages and solves real-world problems that impact society, the financial sector, and the industry. It involves a shared ethos of "computing in the world". Fundamental advances in computer science are connected to knowledge and methods from other disciplines, to enable deep collaboration with researchers and specialists in diverse sectors.
Artificial Intelligence and Optimisation Research Centre
The Artificial Intelligence and Optimisation (AIOP) research centre promotes multi-disciplinary research in AI and optimization to find practical solutions to real-world problems. We are outward-looking and emphasize collaboration with external institutions and companies. Our research output has a prominent impact on many areas of industry, business, and society. In particular, we have targeted real-world problems in the fields of Transportation, Healthcare, and Finance. AIOP has recently established two labs: the Digital Port Technologies Lab and the In-the-Wild (Human Computer Interaction) Lab. AIOP currently has 25 academics, 1 senior software engineer and over 40 PhD students.
More Details
The School of Computer Science conducts research across a broad range of key areas, including but not limited to:
• AI for Science
• Autonomous Agents and Multi-agent Systems
• Computational Intelligence and Optimization
• Computer Vision
• Data Mining & Machine Learning
• Embedded AI and Edge Computing
• Circuits and Systems
• Fintech
• Fuzzy Logic
• Human-Computer Interaction and Extended Reality
• Knowledge Representation and Reasoning
• Medical Image Analysis
• Natural Language Processing
• Parallel Computing
• Security and Privacy
• Smart Home/City and Internet of Things
• Smart Hospital & Health Informatics
• Smart Sensing and Embedded Systems
• Smart Transportation & Logistics
• Software Engineering and Software Testing
• Theoretical Computing and Reasoning
• Trustworthy Artificial Intelligence
These research areas enable a diverse set of interdisciplinary applications spanning healthcare, finance, logistics, transportation, intelligent systems, and emerging AI-driven technologies. Further information on individual research interests and supervisory areas can be found via staff profile pages on the School of Computer Science website.