Recent Publications
Energy Transition and Sustainability Challenges in Sri Lanka – A Policy Perspective
Sri Lanka’s energy sector is undergoing a critical transformation as the nation aims to achieve carbon neutrality and enhance energy security amid growing demand and resource constraints. This paper explores the country’s energy transition from conventional fossil-based systems toward renewable and sustainable alternatives. It assesses the current energy mix, government policies, and strategic frameworks such …
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The Factors Affecting Female Labor Force Participation – Case Study of Sri Lanka
Female labor force participation (FLFP) is a key indicator of gender equality and economic development. Sri Lanka has made significant progress in gender equality, with high female literacy rates and educational attainment levels. However, FLFP in Sri Lanka remains low, at around 30–35% for the past two decades—well below the global average of 49.6%. The …
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Advances in Nanomaterials – Self Cleaning and Antibacterial Applications
Nanomaterials have gained growing importance in modern science and technology due to their exceptional self-cleaning and antibacterial properties. This review explores recent advancements in nanotechnology, emphasizing the mechanisms behind these functionalities and their wide-ranging applications in medicine, construction, textiles, and environmental protection. Self-cleaning properties are mainly achieved through superhydrophobicity and photocatalysis, while antibacterial effects arise …
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A Conceptual Framework for Nanotechnology-Driven Smart Textiles in Wearable Applications and Environmental Monitoring
Smart textiles based on nano-enhanced materials are emerging as key innovations in the technological revolution, merging nanomaterials with traditional fabrics to create multifunctional materials for wearable health monitoring, adaptive clothing, and environmental sensing. Despite rapid advancements, the field lacks a systematic and unified approach to guide the development of these advanced materials. This paper introduces …
Machine Learning-Driven Predictive Maintenance – Identifying Critical Component Failures in Tyre Manufacturing Machinery
Unexpected equipment breakdowns continue to cause major disruptions and financial losses across manufacturing industries. In tyre production facilities, unplanned failures of critical machinery components lead to significant downtime and reduced productivity. Traditional maintenance approaches—reactive, preventive, or condition-based—often fail to balance reliability and cost efficiency. Predictive maintenance (PdM), enhanced by machine learning (ML), provides a robust …