🎯Core Strengths
Expertise
Energy Demand Modelling
Bottom-up modelling of residential, commercial, industrial, and road transport energy demand, built into the ENDEMO framework and applied across all 10 ASEAN member states.
Energy Demand Forecasting
Multi-variable econometric forecasting incorporating technology adoption curves, demographic variables, and policy scenarios to project demand and EV penetration through 2050.
Energy System Analysis
Energy-economy model integration and cross-sector scenario analysis, quantifying decarbonisation pathways under reference, moderate, and accelerated transition cases.
Carbon Emission Forecasting
Emissions trajectories linked to sectoral demand pathways, including Singapore's road transport decarbonisation and EV transition as a national case study.
Energy Policy and Scenario Analysis
Policy sensitivity analysis across regulatory and technology scenarios, informing regional energy planning and infrastructure investment decisions.
Solar Photovoltaics System Analysis
Field experiments and PVSyst simulations covering PV yield and degradation, bifacial module performance, partial shading mitigation, and agrivoltaic microclimate effects.
💼Career
Experience
Research Associate
- Developed bottom-up road transport energy demand models integrated into the ENDEMO framework, enabling multi-sector forecasting across 10 ASEAN member states.
- Built econometric models incorporating technology adoption curves, demographic variables, and policy scenarios to project EV penetration and fleet turnover through 2050.
- Ran scenario analysis quantifying decarbonisation pathways and EV adoption impacts across reference, moderate, and accelerated transition cases.
- Modelled electricity demand across 10 ASEAN states to 2050, informing regional energy and infrastructure planning.
- Presented research on road transport energy demand and decarbonisation pathways at IEEE PES APPEEC 2025, Auckland, New Zealand.
- Co-authored 2 peer-reviewed publications from this work (IEEE PES APPEEC 2025; Sustainability 2024).
- Handled procurement to support modelling and research activities.
Research Engineer
- Led a Temasek Foundation project on solar PV system yield and performance, delivering insights on degradation and optimisation across multiple field installations.
- Designed and ran field experiments in Python (Pandas, NumPy, Matplotlib), turning sensor data into stakeholder-ready insights and milestone reports.
- Contributed to 7 peer-reviewed publications across renewable energy, PV performance, and urban microclimate.
- Mentored 12+ undergraduate and postgraduate FYP students.
- Trained 150+ students on spectrophotometer operation and supported 400+ through physics lab sessions.
- Handled procurement of equipment and consumables for field experiments and lab sessions.
Relief Educator
🎓Background
Education
TUM
PhD, Energy Systems Engineering
- Thesis: Multi-sector energy demand forecasting and emissions modelling for ASEAN countries using the ENDEMO framework, with Singapore as a national-scale case study.
- Sectors covered: residential, commercial, industrial, and road transport, with a focus on transport decarbonisation and EV transition pathways.
- Supervised by Prof. Dr. Thomas Hamacher, mentored by Dr. Tobias Massier.
NTU
M.Sc., Power Engineering (Coursework)
Dissertation: PV system performance analysis through field experiments, numerical techniques, and PVSyst simulations. Investigated the Photovoltaic Heat Island (PVHI) effect on a 16kWp rooftop PV system, combining field measurements with numerical and PVSyst-based simulation techniques.
UofG
B.Eng., Mechatronics
NYP
Diploma, Aerospace Systems & Management
📁Research
Projects
Singapore's Pathway to Carbon Neutrality: Analysis of New Technologies
Development of Next Generation Lithium-Ion ESS Solution & Smart Distributed ESS Management Application for Fire Hazard Mitigation Under Hot-Humid Climatic Condition
Study on the Use of Probiotics to Increase Yield & Nutritional Value in an Integrated Rooftop Hydroponic Farming & Solar Photovoltaics (PV) System
Experimental & Simulation Study of 16kWp Photovoltaic (PV) System Performance & the Investigation of PV Heat Island Effect
Study on the Acceptable Reflectance Level of Body Wrap, and Paintwork on Road Vehicles
Outdoor System Test on Bifacial High Efficiency Solar Modules with Reflectors
⚡Passion
Passion Projects
An interactive dashboard for estimating road transport emissions and energy use across Singapore.
⚡ Interactive Dashboard
Singapore Road Transport Emissions & Energy Calculator
Estimate CO2 and energy use for a single trip, a national vehicle fleet, or explore how Singapore's electricity grid mix affects EV emissions — built on real LTA and EMA data.
📚Published Work
Publications
APPEEC 2025
Modelling ASEAN's Road Transport Energy Demand and Carbon Emissions Using a Bottom-up Approach
Read Article →Sustainability ยท 2024
Estimating the Energy Demand and Carbon Emission Reduction Potential of Singapore's Future Road Transport Sector
Read Article →IC2UHI 2023
Implementation of Numerical Techniques for Estimation and Investigation of Photovoltaic Heat Island (PVHI)
Read Article →NTU ยท 2022
Experimental & Simulation Study of 16kWp Photovoltaic (PV) System Performance & The Investigation of PV Heat Island Effect
Read Article →Energy ยท 2026
Readiness Assessment of Sustainable Energy Technologies Transition Pathway: A Probabilistic Techno-Commercial Feasibility Framework-Based Dynamic Multi-Criteria Decision Analysis
Read Article →CEEGE 2023
Mitigation of Partial Shading Losses in Photovoltaic Systems with Power Optimisers
Read Article →Sustainability ยท 2022
Effects of Agrivoltaic Systems on the Surrounding Rooftop Microclimate
Read Article →EU PVSEC 2019
Optimisation of Bifacial Photovoltaics Module with Reflective Layer in Outdoor Performance
Read Article →🔧Toolkit
Skills
Programming & Data Analysis
Python (Pandas, NumPy, Scikit-learn, Matplotlib)
Regression & Cobb-Douglas Modelling
Time-Series Forecasting
PyCharm & Jupyter Notebooks
GitHub
Overleaf (LaTeX) & Mendeley
PVSyst
Energy Systems & Modelling
Bottom-Up Sectoral Demand Modelling
Technology Adoption Curve Development
Scenario & Policy Sensitivity Analysis
Energy-Economy Model Integration
Uncertainty Assessment
Research
Quantitative Research Design
Model Validation
Academic Writing
Data Visualisation
Technical Presentation
AI Modelling & Research
Claude Code
Claude Cowork
ChatGPT
Coaching
Teaching
📅Events
Events & Gallery
IEEE PES APPEEC 2025, Auckland
Presented peer-reviewed research on ASEAN road transport energy demand and carbon emissions modelling at the IEEE Asia-Pacific Power and Energy Engineering Conference (APPEEC), held in Auckland, New Zealand in December 2025.
TUM Global Fellows Program 2025, Munich
Took part in the TUM Global Fellows Program (GFP) 2025 in Munich, a trilateral doctoral exchange connecting TUM, Imperial College London, and NTU Singapore, focused on cross-institutional research collaboration and PhD career development.
Workshop on Renewable Energies in ASEAN, Singapore
Contributed to a TUMCREATE-hosted workshop at CREATE Tower, Singapore (25 July 2024), bringing together researchers and industry stakeholders to discuss renewable energy adoption and policy across ASEAN.
Panel Discussion, TUMCREATE, Singapore
Joined a panel discussion at the Workshop on Renewable Energies in ASEAN, TUMCREATE, exploring the technical and policy challenges of scaling renewable energy adoption across Southeast Asia.
ASEAN's Path to a Low-Carbon Future, Singapore
Presented โASEANโs Path to a Low-Carbon Future: Energy Transition with Renewablesโ at the TUMCREATE Workshop on Renewable Energies in ASEAN, outlining pathways for the regionโs energy transition drawn from ENDEMOโs demand and emissions projections under different renewable adoption scenarios.
Flash Talk: ASEAN Road Transport Emissions, Singapore
Delivered a flash talk at TUMCREATE showing that current ASEAN electrification targets are insufficient: road transport emissions are projected to rise from 396 to 1,278 Mtonne CO2 by 2050 (+223%) without stronger intervention. Outlined pathways to curb that growth through accelerated EV adoption and decarbonisation policy.