A comparative experimental study evaluating how varying levels of prompt complexity — from simple factual queries to conflicting multi-step instructions — affect the accuracy, coherence, instruction-following ability, and response latency of large language models including ChatGPT, Gemini, Grok, DeepSeek, and Claude.

A mixed-methods study examining the current and projected energy footprint of AI systems, the factors driving high consumption, and the mitigation strategies employed by major technology companies. Draws on IEA reports, company sustainability disclosures, and peer-reviewed literature.

An exploratory study investigating the energy consumption pathways of Malaysia's KTM national rail network, evaluating existing inefficiencies and proposing evidence-based sustainability solutions aligned with Malaysia's net-zero commitments.

A laboratory-based experimental study investigating the effectiveness of AOP technologies — UV/H₂O₂, ozone-based, Fenton, and TiO₂ photocatalysis — in removing recalcitrant organic pollutants from wastewater. Employs analytical techniques including COD, TOC, UV-Vis, and GC-MS measurements.

A prototype-based engineering study developing a low-cost, DIY evaporative cooling device designed as an accessible alternative to conventional air conditioning for B40 households in Malaysia. Combines thermal dynamics with social impact design thinking.

A computational study exploring the feasibility of hybrid quantum-classical simulations in modelling the hydration and chemical behaviour of Ordinary Portland Cement at micro, meso, and macro scales. Employs DFT via Quantum ESPRESSO, molecular dynamics via LAMMPS, and quantum simulation via Qiskit and PySCF.

An investigative study examining the catalytic behaviours of transition elements across key industrial and biochemical reaction pathways. The project seeks to map how electronic configuration, oxidation states, and coordination chemistry govern catalytic activity and selectivity.

A quantitative, survey-based study examining how cognitive biases influence decision-making under conditions of extreme uncertainty analogous to Black Swan events. Critically examines whether Expected Utility Theory holds under such conditions, drawing on Taleb, Kahneman, and Tversky's foundational work.

A double-blind, placebo-controlled experimental study investigating whether moderate caffeine intake improves short-term memory performance and sustained attention in healthy young adults aged 18–30. Uses Digit Span Task, 2-Back Task, and Stroop Test as cognitive assessment instruments.