3-Tier Research Framework

The Department concentrates on high-quality, interdisciplinary research which aims at creating new computing related knowledge and benefits for the entire world. We have established a three-tier framework with a common research infrastructure for achieving that goal.

  • Tier 1: research strengths and competence

    Tier 1 of our strategic research framework groups the existing strengths of our faculty members and research personnel into different clearly defined areas of departmental expertise in which they produce globally recognised research achievements.

    1. Big Data Computing and Information Retrieval 

    Our researchers understand the urgent need to develop reliable new technologies, methods and tools for processing everchanging big data, and are working in various related areas. Among others, their investigations cover parallel databases as services, data accountability and service outsourcing, data and communicative behaviours in online social networks, search engine indexing, transfer-learning methods for multisource data sets, and social media big data analysis.

    2. Graphics, Visualisation and Multimedia 

    Multimedia combines content such as sound, images and graphics to make applications dynamic in areas such as education, entertainment, social networking and telemedicine. With the explosion of multimedia information available in daily lives around the world, 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, all of which have excellent application potential.

    3. Human-Centered Computing 

    Drawing on methods developed in a range of scientific, social science and design fields, our researchers explicitly focused on Human-Centered Computing are using computational technologies to analyse human actions and stimulate performance enhancement in numerous areas. Their major work covers brain informatics, ubiquitous computing, human-computer interfaces – including multimodal interaction and affective computing – and social computing.

    4. Networking and Mobile Computing 

    Wireless networks and smart mobile devices have undergone startling advancements in recent years, now offering users the flexibility and freedom of mobile computing almost anywhere at any time. Especially in the last decade, computer networks have become fast, more reliable and wider in their coverage. Our researchers keep well abreast of such advancements, devoting efforts to distributed and parallel computing, mobile application security, mobile cloud computing, network performance monitoring and measurement, wireless sensor networks and vehicular networks. Their solutions now feature in intelligent transportation systems, structural health care and localisation and security applications.

    5. Pattern Recognition and Machine Intelligence 

    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 bioinformatics and computational biology, evolutionary computing, social media mining, soft computing and Web intelligence, among others. Departmental researchers are currently undertaking important work in biometric security, medical imaging, video and image processing, data mining, ontology representation and decision making.

    6. Systems and Software Engineering 

    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.

  • Tier 2: department-driven initiatives

    Tier 2 of our strategic research framework focuses our overall research efforts on the Department-Driven Initiatives, shaping our drive to provide ground-breaking innovations in truly smart computing. Current focus areas are big data analytics, human-centered computing and cyber sercurity.

  • Tier 3: Cross-area department centres and labs

    Tier 3 of the Department's strategic approach to research includes cross-area research centres and laboratories in which interdisciplinary work is conducted on strategic applications that are in high demand. Strong partnerships established with local and international academic institutions and industry players are noteworthy here, allowing us to establish joint laboratories and successfully complete projects with high impact and significance.

    Over the past decade, the Department has established and developed its research reputation through the following centres and laboratories.