Group Leader: Dr LIU Yan Fiona
The research group of Artificial Intelligence and Robotics brings together the efforts from diverse areas to deliver high impact research. Starting from the research foundations of learning theory and control theory, the group works on various kinds of machine learning models, such as deep learning and transfer learning models, while applying these in the design of robots. Moreover, the group works on social robotics, affective computing, and artificial creativity as well.
Group Leader: Prof. LUO Daniel
Cyber Security and Privacy address a wide range of security and privacy issues that have 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 close relationship with industries and have successfully transferred our knowledge to solve security and privacy problems in the real world. They are very successful in attracting big external grants, such as HK RGC GRF, ITF, NSFC and funding from companies, e.g., Huawei.
The researchers in the group understand the urgent need to develop innovative technologies and tools for processing large amount of heterogeneous multisource multimodal data. Their investigations cover parallel databases as services, data accountability and service outsourcing, data and communicative behaviours in online social networks and media, effective search engine indexing, and transfer-learning methods on recognizing human affects and cognitive implications, inclusive of brain informatics and intelligent human-computer interfaces.
Fundamentals and Software focuses on theories, methodologies, and tools for safety-critical, high-performance, complex software and related systems. The group addresses key challenges on the theory of computing, software engineering, and cyber-physical systems. Research topics include algorithms, complexity theory, real-time scheduling, verification, debugging, fault tolerance, and how to tackle associated problems in a cross-cyber-physical domain context.
Group Leader: Prof. WANG Dan
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.
The VLG group (Vision, Language and Graphics) has been dedicated to AI driven solutions to both fundamental research and innovative technology development in the areas of computer vision, speech and multimedia. Specifically, the work done by the group expands on smart biometric sensing, robust multimedia information management and understanding, information visualization, and interactive natural language processing with applications to smart city development and health care.