Master Thesis Supervision
Master by Research · Geotechnics · Rock Engineering
Research supervision across tunnelling, rock mechanics, slope stability, ground engineering, structural health assessment and numerical modelling.
Master by Research Supervision
Master by Research supervision focuses on the investigation of complex engineering problems through field observations, laboratory investigation, analytical methods, numerical modelling and engineering interpretation. Research topics span tunnelling, slope engineering, rock mechanics, geotechnical infrastructure and ground behaviour.
Updated: September 2026Supervision at a Glance
Current Master by Research Student
Nur Fatin Amirah
Preferential Flow Characteristics on Slope Runoff and Seepage Couple Effect Based on Finite Element Method
Research Supervision Areas
Graduated Students · Main Supervisor
Amber Islam
Structural Health Assessment of Tunnel Lining
GraduatedMuhammad Junaid
Effective and Expeditious Multidisciplinary Approach for Feasibility Assessment of Granite Deposit
GraduatedNor Aziah Ishak
TBM Performance of Sungai Buloh Kajang Line 2
GraduatedSarder Mohammad Yahya
Analysis of Parameters Affecting Settlement Induced by a Low Overburden Tunnel with Forepoling Pre-Support System in Weathered Rock
GraduatedGraduated Students · Co-Supervisor
Mohammad Ashikur Rahman
Fragmentation Analysis and Blast Design Optimization for Discontinuous Rock Masses
GraduatedMuhammad Fateh Bin Mior Ahmad Ridzuan
Settlement, Slope and Vibration Analyses on the Water Treatment Plant Structure
GraduatedOsama Mohamed Elsayed
Effects of Jacking Force Interaction to Segmental Tunnel Lining in Soft Soil
GraduatedLim Jee Wen
Development of a Preliminary Design Chart for Practical Use for the Deep Mixing Method
GraduatedResearch Supervision with Engineering Application
Master by Research supervision emphasises rigorous investigation, critical analysis and the application of research findings to practical engineering problems. Research students are encouraged to integrate field evidence, laboratory data and computational methods to produce technically defensible and industry-relevant outcomes.