Postgraduate Opportunities
The following titles are available as either a MPhil or PhD topic. Please contact to the academic staff for detailed information.
For information about scholarship, please refer to Postgraduate Scholarships and Bursaries.
| Academic staff | Tentative Title | Field of Research | Eligible Nationals | CGPA/Academic Requirements |
|---|---|---|---|---|
| A/Prof. Anuja Dharmaratne | Behaviour Analysis in Videos for Autism Detection | Artificial Intelligence, Machine Learning, Computer Vision | All (International) | More than 3.70 |
| A/Prof. Anuja Dharmaratne | Image classification based on events | Artificial Intelligence, Machine Learning, Computer Vision | All (International) | More than 3.71 |
| Dr. Chong Chun Yong | Discovering and Addressing Biasness in Artificial Intelligence | Software Engineering, Artificial Intelligence | All (International) | More than 3.00 |
| Dr. Chong Chun Yong | A game-theoretic approach to detect and analyse social bugs in Facebook's Web-enabled Simulation (in collaboration with Facebook Inc.) | Software Engineering, Software Testing, Game Theory | All (International) | H1/H1E |
| Dr. Ganesh Krishnasamy | LDR image to HDR image - from fundamentals to applications | Image processing, Machine Learning | All (International) | H2AE and above |
| Dr. Golnoush Abaei | Reducing the Cost of Testing by Employing Improved Test-Case Prioritization Methods. | Software Engineering, Software Testing, Artificial Intelligence, Machine Learning | All (International) | Passionate students |
| Dr. Golnoush Abaei | Providing an Improved Software Fault Prediction Model to Decrease Testing Effort | Software Engineering, Software Testing, Artificial Intelligence, Machine Learning | All (International) | Passionate students |
| Dr. Golnoush Abaei | Performing Software Test Oracle based on Improved Machine Learning Techniques | Software Engineering, Software Testing, Artificial Intelligence, Machine Learning | All (International) | Passionate students |
| Dr. Jin Zhe | Not Afraid of the Dark: Cross-spectrum Face Recognition | AI/Machine Learning/Deep Learning | All (International) | Passionate students |
| Dr. Lillian Wang Yee Kiaw | Adaptive Learning to Improve Learning Efficiency using AI Techniques | Artificial Intelligent, Education | All (International) | More than 3.00 |
| Dr. Lillian Wang Yee Kiaw | IoT Based Smart Attendance Control System | Internet of Things, Artificial Intelligence | All (International) | More than 3.00 |
| Dr. Lillian Wang Yee Kiaw | A Study of Digital Twin for Wastewater Treatment Plant | Internet of Things, Artificial Intelligence | All (International) | More than 3.00 |
| Dr. Lim Chern Hong | Explainable AI in Lung Cancer Diagnosis | Machine Learning, Image Processing, Explainable AI | All (International) | H2AE and above |
| Dr. Lim Chern Hong | Interpretable model for video events analysis | Machine Learning, Computer Vision, Explainable AI | All (International) | H2AE and above |
| Dr. Lim Mei Kuan | Bias in Artificial Intelligence | Machine Learning, Computer Vision | All (International) | More than 3.00 |
| Dr. Lim Mei Kuan | Artificial Intelligence in Mental Healthcare | Machine Learning, Computer Vision | All (International) | More than 3.00 |
| Dr. Nailah, Dr. Chong | ^^Modeling and simulation tool for a Digital Health work system design (WSD) methodology | Digital health, Software Engineering, AI | All (International) | More than 3.70 and passionate students |
| Dr. Ong Huey Fang | Evidence-based mining for cancer prevention | AI, Data mining | All (International) | More than 3.00 |
| Prof. Ir. Dr. Raphael Phan | AI & Deep Learning Against Fake News | AI/Machine Learning/Deep Learning | All (International) | Passionate students |
| Prof. Ir. Dr. Raphael Phan | AI & Deep Learning for Cybersecurity | AI/Machine Learning/Pattern Recognition and Cybersecurity | All (International) | Passionate students |
| Dr. Prabha Rajagopal | Fairness-aware Information Retrieval Evaluation | Information Retrieval, Ethics, Data Analysis | All (International) | Passionate students |
| Dr. Soon Lay Ki | Question-Answer Pair Extraction | Text Mining, Natural Language Processing | All (International) | More than 3.00 |
| Dr. Tan Chee Keong | Optimized Energy Management for Smart Manufacturing | Artificial Intelligence | All (International) | More than 3.70 |
| Dr. Tan Chee Keong | Machine Learning for Beyond 5G Networks | Artificial Intelligence, Networking | All (International) | More than 3.70 |
| Dr. Tan Chee Keong | 5G Indoor Positioning System Using Machine Learning | Artificial Intelligence, Networking | All (International) | More than 3.70 |
| Dr. Ting Fung Fung | AI for Breast cancer imaging | AI/Medical Imaging/Deep learning | All (International) | More than 3.00 |
| Dr. Ting Fung Fung | Cerebral Aneurysm Segmentation | Medical Imaging, Deep Learning | All (International) | More than 3.00 |
| A/Prof Ting Chee Ming | Predicting human behavior and personality traits from neuroimaging data using deep learning | AI for Digital Health, Deep Learning, Statistical Modeling | All (International) | More than 3.00 |
| A/Prof Ting Chee Ming | Automatic identification of Neuropsychiatric Disorders from Human Brain Connectomme | AI for Digital Health, Deep Learning, Statistical Modeling | All (International) | More than 3.00 |
| A/Prof. Wong Kok Sheik | Data Hiding and Its Application in Video Container | Multimedia Signal Processing | All (International) | H2AE and above |
| A/Prof. Wong Kok Sheik | Coverless steganography | Multimedia Signal Processing | All (International) | H2AE and above |
| Dr. Wee Mee Chin | Fairness of predictive student models | Metrics, Machine learning. | All (International) | More than 3.00 |
^^Stipend paid from a research grant