DOCTOR OF PHILOSOPHY
Osama Ali Abdelrahman Ahmed( Award Conferred 22 January 2025)
Title of Thesis:‘ Low-Velocity Impact Damage Assessment of CFRP Laminates: A Hybrid Approach with nonlinear Guided Waves and Deep Quantum Neural Networks.’
This thesis aims to provide a framework for technique selection for new researchers in the field of structural health monitoring. Furthermore, this thesis focuses on investigating impact damage in carbon-fiber reinforced polymer composites using numerical and experimental methods, and employing an optimization enables deep learning model.
Supervisor: Dr Mohd Zulhilmi Paiz Associate Supervisor: Associate Professor Xin Wang Associate Supervisor: Dr Tran Manh Vu
Chan Kam Khong( Award Conferred 20 November 2024)
Title of Thesis:‘ Molecular Perspectives on the Enzymes Behaviour in Cholinium Aminoate Ionic Liquids.’
The computational approaches offer a fundamental understanding of the molecular dynamics of enzymes within ionic liquid( IL) systems, shedding light on their behaviour and interactions with neighbouring molecules. Such insights can comprehensively elucidate experimental findings, and these pieces of knowledge could be beneficial to the design of IL for enzyme applications. This thesis examined the effects of cholinium aminoate ILs on the catalytic performance of fungal enzymes with experimental and computational methods. The outcome of this thesis has concluded that the anionic species of IL is the key element in dictating the catalytic activity of the enzymes.
Supervisor: Associate Professor Chien Wei Ooi Associate Supervisor: Dr Ho Yongkuen Associate Supervisor: Dr Tan Jully
Goh Zheng Hui( Award Conferred 28 August 2024)
Title of Thesis:‘ A Study on Adaptive Biometric Fusion Strategy and its Application on Biometric Template Protection.’
This research explores a biometric authentication framework utilizing hashing techniques like Alignment-Free Hashing( AFH) and Index-of-Max( IoM) hashing, and feature-level fusion for template protection. It ensures robust security, accommodates diverse biometric features, and achieves high performance. Additionally, a novel key-based fusion method enhances security through the introduction of fusion key and encryption. A multimodal biometric cryptosystem, integrating AFH, IoM hashing, and the key-based fusion method, is developed, supporting various template sizes and representations. Extensive testing validates the effectiveness of the proposed schemes.
Supervisor: Dr Liang Shiuan Ni External Supervisor: Dr Yen Lung Lai Associate Supervisor: Dr Jin Zhe Associate Supervisor: Associate Professor Xin Wang
Shack Yee Hiew( Award Conferred 5 March 2025)
Title of Thesis:‘ Stress-Strain Behaviour and Constitutive Modelling of Unconfined and Confined Ultra-High-Performance Concrete( UHPC).’
Ultra-high-performance concrete( UHPC) is valued for its exceptional compressive and tensile strength, yet its use remains limited to small-scale applications due to gaps in understanding its behaviour in larger structures, particularly axially loaded reinforced concrete( RC) columns. This thesis addresses these gaps by developing unified constitutive models for both unconfined and confined UHPC, calibrated to widely-used fibre types. Through comprehensive experimental investigations and multi-scale mechanical characterisations, the models offer a more accurate representation of fibre contributions and interactions with transverse reinforcement, enabling better predictions of stress-strain behaviour and facilitating more effective design and analysis of UHPC structural members.
Supervisor: Associate Professor Sudharshan Raman Associate Supervisor: Dr Daniel Kong External Supervisor: Dr Milad Hafezolghorani Esfahani
36 GRA DUA TION C EREM ONY