Department of Computing

Doctor of Philosophy / Master of Philosophy

Sept 2018 Entry

Introduction


The Department of Computing has established a solid foundation in Algorithm and Theory, Machine Learning and Artificial Intelligence, Computational Imaging, Big Data Analytics, Cyber Security and Privacy, Networking and Mobile Computing, and System Modelling and Software Engineering. Research at COMP emphasises two strategic research themes on Smart Ageing and Smart IoT, which make important contributions to both fundamental and applied research.

 

Our students’ cutting-edge research is supported by enthusiastic faculty members and support staff who ensure that the Department provides them with a positive and nurturing academic environment.

 

The Department also ensures that all research students have opportunities to enrich their research experience through research exchange visits, attendance at leading international conferences and participation in global competitions and departmental projects.

 

The Department’s global network crosses disciplines and bridges industries, offering our students ample career opportunities, resources and access to research funding.

Research Areas


Big Data Computing and Information Retrieval

Our researchers understand the urgent need to develop reliable new technologies, methods and tools for processing ever-changing 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 behaviour in online social networks; search engine indexing; transfer-learning methods for multisource data sets; and social media big data analysis.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

Graphics, Visualisation and Multimedia

Multimedia combines content such as sound, images and graphics to make dynamic applications in areas such as education, entertainment, social networking and telemedicine. With the explosion in the availability of multimedia information 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.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

Human-Centered Computing

Drawing on methods developed in a range of scientific, social science and design fields, our researchers explicitly focusing on human-centred computing use computational technologies to analyse human actions and enhance performance in numerous areas. Their major work covers brain informatics, ubiquitous computing, human-computer interfaces – including multimodal interaction and affective computing – and social computing.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

Networking and Mobile Computing

Wireless networks and smart mobile devices have undergone startling advancements in recent years, and now offer users the flexibility and freedom of mobile computing almost anywhere, at any time. In the past decade in particular, computer networks have become faster and 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.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

Pattern Analysis 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.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

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 to 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.

Please click here to find out more about the research interests of our Department of Computing and contact our staff directly to discuss research opportunities.

Research Facilities


Departmental Research Centre and Laboratories

 

Currently, the Department has the Biometrics Research Centre, Cognitive Computing Lab, Computer-Human Interaction (CHI) Lab, Cyber Security and Privacy Lab (CSPL), Embedded Systems and Cyber-Physical Systems (CPS) Lab, Human Language Technology Laboratory, Internet and Mobile Computing Lab and Visual Analytics Lab.

 

Private Cloud and GPU clusters

 

A private cloud has been built to provide a fully integrated, self-service, scalable virtualised platform. The platform is widely and intensely used by our staff and students, greatly facilitating their research progress. With the strong need for deep learning related research, the Department is establishing GPU clusters.

 

EEG System

 

An electroencephalogram (EEG) system was purchased to support research on cognitive computing and related areas for applications on smart healthcare, smart living and smart education. The system promotes high-impact interdisciplinary research on fundamental scientific problems, such as investigating the neural systems and internal activities of the brain, the analysis and prediction of human behaviour and emotion and the diagnosis and rehabilitation of mental disease.

 

Virtual and Augmented Reality System

 

The Department has purchased equipment for virtual reality (VR) and augmented reality (AU) research, including (1) a projection VR system that delivers high-end visuals with a mixed reality (VR + AR) environment, in which multiple users can share their data, design and visual experiences; (2) a walking VR system that visualises, navigates and interacts within 25´25 sq. metres; the user can freely move, touch and interact in a large tracking space; (3) a standing VR system that can be used with home-use VR systems; and (4) a mobile VR system that can be used on a smartphone.

Other Information


No information is available at present.

Supporting Documents


Academic Referee's Report Form

Compulsory - Two Academic Referee's Reports are required

Curriculum Vitae

Compulsory

Research Proposal Form

Compulsory

Transcript / Certificate

Compulsory

  • Certificate of the award of Bachelor's/ Master's degree
  • Transcripts of studies