Research
The CFD & HSE Simulation Research Group utilizes advanced numerical techniques to address critical challenges in industrial process safety, occupational health and safety, indoor air quality, air pollution, multiphase flows, chemical reaction engineering, porous scale modelling, and public health. Through rigorous numerical simulations, we provide in-depth understanding and predictive capabilities for complex phenomena across these interconnected domains. Furthermore, we are increasingly incorporating AI/ML algorithms with our numerical data obtained to provide enhanced critical insights, achieve more accurate predictions, faster analysis, and optimized solutions for a wide spectrum of vital industrial and public health issues. This interdisciplinary approach fosters a deeper understanding of complex phenomena and facilitates the development of more effective strategies for enhancing safety, health, and environmental protection.
Public Health
Finally, our research in public health utilizes CFD to model the spread of airborne diseases, assess the effectiveness of infection control measures in healthcare settings, and evaluate the impact of environmental factors on public health outcomes. More specifically, we also initiated research activities in the field of environmental health and exposure and investigation of biopathogen-fluid interactions in droplets combined with different modes of transmission and contamination using CFD, as well as the location distance between patient and health staff in hospitals and long-term care facilities (LTCF). This interdisciplinary approach contributes to evidence-based strategies for disease prevention and public health protection. In addition, through these interconnected research area, our group strives to also advance.
Through these interconnected research areas, our group strives to advance the understanding of complex fluid flow and transport phenomena and to translate this knowledge into practical solutions that enhance safety, health, and environmental sustainability.