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PhD Supervision

External Co-Supervisor - PhD in Science (By Research)

Institution: Universiti Teknologi PETRONAS (UTP), Malaysia

Candidate: Sanjay Kumar (24005084), appointed October 2025

Research title: Development of Electromagnetohydrodynamic (EMHD) Mathematical Model using Hybrid Nanofluids for Heavy Oil Recovery

Responsibilities: guiding mathematical modelling, analysis of EMHD hybrid-nanofluid flow, and contributing to publication and thesis development.

Undergraduate Supervision - Final Year Projects (FYP)

1. Edison Lo Yu Ming (TP069743, BSc Actuarial Sciences)

Title: A Novel Deep Learning and Statistical Technique to Find Actuarial Solutions in the Application of Environmental Pollution

2. Koh Jing Xing (TP068074, BSc Actuarial Sciences)

Title: Risk Assessment Analysis of River Pollution using Mathematical Modeling

3. Kong Kang Yang (TP069476, BSc Actuarial Sciences)

Title: Predictive Modeling of Actuarial Risk in Wastewater Quality using Machine Learning Techniques

4. Lim Wei Kee (TP069607, BSc Actuarial Sciences)

Title: Predictive Modeling of Actuarial Risk in Wastewater Quality using Machine Learning Techniques

5. Sea Jin Wei (TP066200, BSc Actuarial Sciences)

Title: Statistical Analysis with Machine Learning Techniques for Water Pollution

6. Ngoi Rui Kang (TP073720, BSc Actuarial Sciences)

Title: Comparing Machine Learning Hybrid and Traditional Time Series Models for Long-Term KLCI Forecasting

I welcome enquiries from motivated students and early-career researchers interested in applied mathematics, computational fluid dynamics, nanofluid heat transfer, and AI-driven modeling.

Who I supervise

• Undergraduate Final Year Projects (FYP) - actuarial sciences, mathematical modeling, machine learning for real-world data
• Internship and research-assistant projects in modeling and data analysis
• Postgraduate co-supervision in nanofluid / hybrid-nanofluid modeling and thermal systems

What I look for

A solid foundation in mathematics or a related quantitative field, curiosity about turning models into practical tools, and willingness to learn computational methods (MATLAB, Python, or CFD software). Prior coding experience is helpful but not essential - the interest matters more.

How to get in touch

If you would like to discuss a project or supervision, please email a short note describing your interests along with your CV and transcript. See the Contact section for details.