Key research themes
1. How can process safety be improved in the process industry by understanding human factors and hazard identification?
This research area investigates the role of human factors, safety climate, and systematic hazard identification methods in improving process safety within hazardous process industries. It matters because process safety incidents often lead to catastrophic consequences including fatalities, environmental pollution, and financial losses, especially in sectors such as oil refining, pharmaceuticals, and chemical processing. Understanding contributory human and organizational factors alongside technical hazard recognition enhances safety management systems and operational decisions to reduce risks.
2. What are the advancements in digital technologies, including AI and operational tools, that optimize process industry operations and decision-making?
This theme focuses on the development and implementation of advanced digital technologies such as artificial intelligence (AI), big data (BD), machine learning, and functional modeling approaches tailored specifically to the operational and process control challenges in continuous and batch process industries. These technologies facilitate enhanced process monitoring, predictive control, decision support, maintenance on demand, and operational efficiency improvements, addressing the gaps from traditional discrete manufacturing models.
3. How can energy efficiency and environmental sustainability be enhanced through process design and operational retrofitting in process industries?
This theme explores methodologies and frameworks to improve energy efficiency and reduce environmental footprints via retrofitting heat exchanger networks, developing environmental performance indices, and optimizing capacity and operations in process industries. These approaches are critical in meeting sustainability targets while maintaining or improving process performance and economic viability.