Research at the College of Computing and Data Science (CCDS) is organised across a range of groups within three core domains – Artificial Intelligence, Data Science, and Computing.
These groups bring together faculty working across foundational research and real-world applications, reflecting the breadth of expertise across the College.
The Artificial Intelligence domain at CCDS focuses on advancing the theory and application of intelligent systems across a wide range of areas. Research spans machine learning, multi-agent systems, computer vision, natural language processing, and generative AI, alongside efforts in building robust, trustworthy, and sustainable AI systems.
Work in this area extends to real-world applications in science, engineering, healthcare, finance, and smart systems, reflecting the role of AI in shaping complex, data-driven environments.
The Data Science domain focuses on transforming data into knowledge and intelligent action, advancing both foundational theory and real-world applications. Research spans data management and analytics, security and digital trust, health informatics, and statistical data science.
Faculty in this area develop methods for handling complex, multimodal data, ensuring data integrity and privacy, and applying data-driven approaches across domains such as healthcare, digital platforms, and smart systems.
The Computing domain focuses on the foundational and advanced disciplines that underpin modern computing systems. Research spans high-performance computing, complex systems, graphics and visualisation, networking, and hardware and embedded systems, alongside core areas such as algorithms, programming languages, and software systems.
These efforts form the foundation for both computer science and computer engineering, bridging software, hardware, and intelligent cyber-physical systems.