Doctor of Philosophy (PhD) (Computer Science)

PhD in Computer Science in the Mathematical and Computing Sciences Group, Faculty of Science (FOS), is a programme that fosters pure and applied advanced research in various Computer Science areas. PhD in Computer Science include the elaboration of original projects with an international research impact, which incorporate modern techniques and methods, in a broad range of pure and applied research topics. Candidates are expected to work diligently and they should be able to perform integrated research under the supervision of Computer Science staff members. They should be able to carry out analytical and experimental research and to synthesise and interpret the relevant data in a timely manner. The PhD candidates must also participate actively in research team meetings, as well as in Symposia and Conferences. The Programme is designed for qualified individuals, who wish to acquire advanced knowledge, as well as analytical and research skills, and significantly contribute to the advancement of Computer Science fields.

Programme Details

Aims and Scope
The PhD Programme in Computer Science aims to make scientists with high level specialised training, in order to cover the increased needs of Industry, Research Institutions and Academia in related aspects. The scope of the Programme is to educate students to become independent researchers, as well as to train them to develop advanced scientific skills and analytical capabilities. The candidates are also expected to become capable to design scientific projects, to develop independent critical thinking and ability for proper scientific interpretations.

Students conduct an approved, original research project, with the supervision of one or more staff members. Upon completion of their research, they submit a Thesis, which normally does not exceed 100,000 words


  • Compulsory modules SR-5101. These are modules that all postgraduate students must read and pass to satisfy their graduation requirement.
  • Assessment includes examination of the thesis by internal and external examiners. As stipulated in the relevant UBD regulations the examiners may subject a candidate to an oral examination or any other test they think necessary to assess the acceptability of the thesis. Periodic assessment of the progress of the candidate is carried out as stipulated in the relevant UBD regulations.

Areas of Research/ Specialisation

  • Intelligent Healthcare Systems
  • Wireless Sensor Integration and Fusion
  • Motion Capture ad Reconstruction
  • Brain Machine Interface
  • Virtual Interfacing Technologies
  • Intelligent eLearning and web-based applications
  • Biologically-inspired Robotics: Swarm robotics, Collective Decision Making, Animal vs. Animal
  • Human-Robot Interaction: Human Safety in Human-Robot Cooperation, Human-Robot Swarm Interaction
  • Large-Scale Autonomous Systems: Modeling and Control of Dynamical Systems including Manipulators, Mobile Robots, Underwater and Aerial Robots
  • Modern Artificial Intelligence: Modular Robotics, Reconfigurable Building Blocks, Modular Sensor Networks, Tangible Games
  • Problem Based Learning: ICT-based PBL and Multicultural PBL
  • Compilers
  • Cryptography and computer security
  • Open source implementations
  • Graphics and visualisation
  • Database design and implementation
  • Server security
  • High performance computing
  • Mobile programming
  • Data mining: Cluster analysis, fuzzy clustering, biomedical or clinical informatics
  • Artificial intelligence: Applying heuristics in data mining
  • Personal robots
  • Ambient intelligence

For more information

Contact:   Deputy Dean of Graduate and Research in FOS ( nb.ude.dbu@sgninnej.semaj :liame - sgninneJ treboR semaJ .rD)

Complete programme details can also be found here .

Faculty Member and Contact Details

Research Interests

AP S. M. N.Arosha Senanayake

Intelligent Healthcare Systems
Wireless Sensor Integration and Fusion
Motion Capture and Reconstruction
Brain Machine Interface
Virtual Interfacing Technologies

Mr. Chong Kim Onn

Open Source Software Development
Mobile Web-Based App Development

Pengiran Dr. Haji Nor Jaidi Pengiran Tuah

Recreational Computer Science

Dr. Haji Abdul Ghani Haji Naim

IPv6 Cryptography and Computer Security
Open Source Implementations
Graphics and Visualisation

Mr. Lim Sei Guan

Database Technologies and Design
Open source Applications and Technologies
Internet Marketing and Web Presence
Web Content Accessibility
Machine Translation

Dr.Daphne Lai Teck Ching

Data mining: Cluster Analysis, Fuzzy Clustering, Biomedical or Clinical Informatics
Artificial Intelligence: Applying Heuristics in Data Mining

Dr.Ong Wee Hong


Personal Robots
Ambient Intelligence

Dr. Owais Ahmed Malik

Machine Learning, Soft Computing, Knowledge Based Systems,
Intelligent Decision Support Systems for Rehabilitation Monitoring,
Big Data Analytics, Data Mining Wireless Body Area Network,
Biosignal Processing and Analysis, Applied Biomechanics

Dr. Rosyzie Anna Awg Hj Apong

Text Mining:  Recognition, Negation and Uncertainty mining