PhD Research Supervision
Rock Engineering · Tunnelling · Geotechnics · Geohazards
Doctoral supervision across rock mechanics, tunnelling, slope stability, engineering geophysics, geotechnical infrastructure, ground improvement and digital engineering.
Doctoral Supervision Portfolio
PhD research supervision focuses on technically rigorous and application-oriented research integrating field investigation, laboratory testing, numerical modelling, advanced monitoring, geophysical methods and data-driven engineering approaches.
Updated: September 2026Supervision at a Glance
Current PhD Students
Saiful Islam
Geospatial Approach on Landslide Susceptibility Zonation and Geodesign in Semi-Arid Mountainous Watershed, Saudi Arabia
Neo Boon Kheng
Bamboo Geotextile Composite (BGC) Performance Over Soft Clay Formation for Soil Improvement Technique
Amber Islam
Behavior of Surface Settlement Induced by Tunneling Under Brown Field Conditions
Aniza binti Albar
Close Range Photogrammetry for Tunnel Health Assessment
Lu Zhong Xiang
Numerical Modelling of Large-Section Cross-River Tunnel
Doctoral Research Areas
Graduated PhD Students
Rafi Ullah
3D Physical-Numerical Model for Threshold Strain Level in Slope Instability
GraduatedHan Xikai
Initiation Mechanism and Motion Characteristics of Debris Flow in Gunung Pulai
GraduatedKarthigeyan s/o Al. Ramanathan
Effects of Tunnel Excavation in Weathered Rocks Beneath Non-Greenfield Surface
GraduatedTee Bun Pin
Instrumented Bored Pile with Distributed Fibre Optic Sensor (BOTDA) in Problematic Karstic Limestones Areas
GraduatedMuhammad Junaid
Prediction of RQD Using Fuzzy Logic Algorithm of Rock Geophysics
GraduatedWahid Ali
Performance Evaluation of Q-System in Highly Stressed Jointed Rock Conditions
GraduatedMohd Nur Asmawisham bin Alel
Application of Geophysical Method and Correlation of SPT Value with Resistivity Data
GraduatedMuhammad Irfan bin Shahrin
New Quarry Blast Model for Rock Fragmentation
GraduatedDeveloping Independent Researchers
Doctoral supervision emphasises rigorous research methodology, critical engineering judgement and the integration of experimental, field, numerical and digital approaches. Research candidates are guided towards producing original contributions that address both fundamental research questions and practical engineering challenges.