Selection of Project Area
Typical thesis projects for ﬁnal year students will be available in the areas indicated below. Students who will be undertaking thesis should indicate their preferences on the bottom section of this page. Preferences should be chosen from those listed below as appropriate for the degree enrolled and should be recorded by using the code, e.g., for Electrical Engineers – 1st Pref.: A.1; 2nd Pref.: C.1, etc. If desired, students may also write down speciﬁc areas, e.g., A.1 Power Quality – Monitoring. Before making selections, please read this form carefully.
Students should select at least two preferences; the third is optional. It should be noted that whilst attempts are made to take preferences into account, these are only one of several factors affecting thesis topic allocation and the examples given are only that - examples.
Eligible students should complete the preference selection form below ASAP.
- Electrical Engineering students: can select preferences from any of the areas.
- Computer engineering students: can select preferences from areas B and C only.
- Telecommunications engineering students: select preferences from C only.
- Mechatronics Engineering students: can select preferences from areas A, B and C.1 only, e.g., A.1 and B.2 or A.2 and C.1.
Students are also encouraged to explore possible projects with staff. If there is a project that you are interested in, please discuss with relevant staff member and have them sign the Selection of Project Area form (PDF) - this can be submitted EIS Central.
Project Areas Available
A.1 Power Quality and Reliability
e.g., equipment behaviour, modelling techniques, monitoring and data analysis, power conditioning, power system disturbances, standards and management.
A.2 Power Electronic
e.g., converters, renewable energy sources, simulation techniques, variable speed drives.
A.3 Renewable Energy and Distributed Generation
e.g. integration of wind and solar generation, energy storage.
B.1 Computer systems
e.g., micro-controllers, computer-assisted instructional systems, embedded systems, web-based systems, and computer architecture.
e.g., control systems, vehicular systems, real-time control, robotics, and servo mechanisms.
B.3 Machine learning
e.g., probabilistic and multidimensional modelling, pattern recognition, biometrics and biomedical applications.
C.1 Digital Signal Processing
e.g., audio processing and segmentation, image processing, intelligent information processing, speech processing, speech and audio compression, video processing, and opto-electronics signal processing.
C.2 Computer networks
eg. traffic engineering, network design and modelling, mobile computing, and wireless communications.