Our researchers of Artificial Intelligence and Big Data Computing bring together the efforts from diverse areas to deliver high impact research. Among others, their investigations cover parallel databases as services; data accountability and service outsourcing; data and communicative behaviour in online social networks; effective search engine indexing; transfer-learning methods for multisource data sets; and social media big data analysis. Our group also works on various kinds of machine learning models, such as deep learning and transfer learning models, while applying these in the design of robots. We also work on social robotics, affective computing, and artificial creativity as well.

Cyber Security and Privacy address a wide range of security and privacy issues that have a profound impact on securing the cyberspace. Researchers in the group have expertise in areas such as the financial technology, blockchain, post-quantum computing security, mobile applications, Internet of Things (IoT), and the underlying Internet infrastructure. They have a close relationship with industries and have successfully transferred our knowledge to solve security and privacy problems in the real world.

Multimedia combines content such as sound, images and graphics to make applications dynamic in areas such as education, entertainment, social networking and telemedicine. The key research challenges lie in managing complex multimedia objects and extending them into three dimensions with the capacity for real-time interaction. Our researchers focus on three-dimensional computer graphic modelling and rendering, distributed three-dimensional graphics, image and video quality enhancement, content-based image retrieval, and multi-sensor data and motion analysis.

Networking and Mobile Computing is concerned with designing efficient communications protocols and architectures for exchanging data among computers and mobile devices, enabling a wide range of networked applications with enhanced real-world experience of network and mobile users. Research areas investigated by the group faculty include but are not limited to edge computing, smart sensing and networking, pervasive and mobile computing, Internet of Things, and network measurement.

Pattern recognition, or the classification of measurements and observations, is significantly enhanced through the application of computational intelligence techniques. With surging demand for efficient and high-performance automated pattern recognition, breakthroughs are being made in emerging areas such as video and image processing, medical imaging, biometric security, Web intelligence, social media mining, and human-machine interaction with language, among others,  with applications to smart city development and health care.

Systems and software engineering involves the development of methodologies, processes and tools for building robust, high performance computer-based systems. In this area, our researchers have applied their expertise on key challenges in agile development, context-aware middleware, cost estimation, cyber-physical systems, real-time embedded systems, software metrics, software processes and quality, storage in embedded systems and risk management. They are also working on solutions to the problems arising from the use of business-critical applications.