The linear economic model assumes unlimited resources and waste disposal without consequences, harming the environment and society. The circular economic model minimizes waste and maximizes resource use, designing products for reuse, repair, and recycling. Transitioning requires careful handling as waste becomes a valuable resource for other processes.

Advanced technologies like IoT, data science, and automation enable vast data access for complex systems. System engineering principles with digitalization can collect vital information throughout the product lifecycle. My expertise in mechanical design, system engineering, environmental science, and smart technologies allows me to develop a cyber-physical platform for data collection and utilization. I create data-driven models for optimization and control strategies, benefiting circular economy manufacturing. My neural network and computation intelligence work improve data analysis and system dynamic optimization.

Leading the “Appropriate Mechanization, Energy Optimization, and Smart Agriculture (AMEOSA)” project in Sri Lanka, I gained experience in technology transformation. My main focus is systems designing and analysis, specifically connecting the circular economy in the context of the Fourth Industrial Revolution (4IR), within the Food and Agriculture manufacturing sector. Therefore, I welcome collaboration from individuals and industries worldwide who are interested in conducting research in the following fields.