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The ability to perceive the world, learn from experience, and make informed decisions is a hallmark of intelligent behaviour. Artificial intelligence seeks to understand and replicate these capabilities, enabling machines to interpret complex data, recognize patterns, reason about uncertainty, and support human decision-making.

• Machine learning and deep learning
• Computer vision, object detection, recognition, and tracking
• Knowledge representation and automated reasoning
• Agentic and autonomous decision-making systems
• Clinical AI and healthcare decision support
• Medical image analysis and predictive diagnostics
• Recommender systems and intelligent cloud services
• Behaviour analytics, user modelling, and social network analysis

Complex systems - from social networks and financial markets to healthcare systems and digital platforms - generate enormous volumes of interconnected data. Understanding these systems requires methods that can uncover patterns, model behaviour, and transform raw information into actionable insight. Our research helps organizations understand, predict, and optimize the systems that shape modern life. Some of our research includes:

• Data mining and knowledge discovery
• Predictive and statistical modelling
• Simulation of complex systems
• Graph theory and network analysis
• Data-driven decision support
• Analytics for business, healthcare, and digital environments

Technology is ultimately created for people. Understanding how humans learn, collaborate, communicate, and interact with technology is essential to building systems that are effective, accessible, and meaningful. Our researchers study the human dimensions of computing, combining expertise in human-computer interaction, education, learning analytics, accessibility, and immersive technologies. 

• Human-computer interaction and user experience
• Computer science education research
• Learning analytics and educational technologies
• Inclusive and caring computing
• Virtual, augmented, and mixed reality
• Technology-supported collaboration and communication

Computing has the potential to improve lives far beyond the digital world. Advances in robotics, sensing, medical imaging, and intelligent systems are enabling new approaches to healthcare, public safety, and community well-being. By combining artificial intelligence, robotics, imaging, and human-centred design, our researchers create solutions with measurable societal impact. Some of our work includes:

• Autonomous and intelligent robotic systems
• Medical image analysis and diagnostics
• Digital health and mental health technologies
• Assistive and healthcare-focused technologies
• Public safety and emergency response systems
• AI and computing for social good

Digital technologies increasingly mediate how we communicate, work, learn, and share information. As society becomes more connected, ensuring that these systems remain secure, private, and trustworthy is one of the defining challenges of the information age. Our faculty conduct research spanning cybersecurity, privacy-preserving technologies, cryptography, secure systems, and emerging post-quantum approaches. 

• Cybersecurity and threat detection
• Privacy-enhancing technologies
• Secure software and system design
• Cryptographic protocols and applications
• Post-quantum security
• Trustworthy and resilient computing systems

Modern computing depends on vast software ecosystems and interconnected infrastructures that must operate reliably at scale. From cloud services and communication networks to enterprise software and intelligent operations, these systems form the backbone of today's digital world. Our researchers develop methods for designing, building, managing, and evaluating complex software and computing infrastructures. Some of our research includes:

• Software engineering methods and tools
• Software quality and maintenance
• Computer and communication networks
• Cloud and distributed computing
• AIOps and intelligent system management
• Reliability, resilience, and performance analysis
• Quantum software engineering

Computation lies at the heart of modern society, yet fundamental questions remain about how problems can be represented, solved, and reasoned about efficiently. Research in theoretical computer science seeks to uncover the mathematical principles that govern computation, providing the foundations upon which advances in artificial intelligence, cybersecurity, software engineering, and data science are built.

• Algorithm design and analysis
• Knowledge representation and automated reasoning
• Planning and intelligent decision-making
• Computational geometry
• Formal languages and computational models
• Cryptographic methods and secure computation
• Quantum algorithms and computing