معرفی
Dr. Shee Meng Thai is a Senior Lecturer in Mechanical and Aerospace Engineering at the Faculty of Computing, Engineering and Science. Her research focuses on monitoring, modelling, and control of combustion processes in high-temperature furnaces and boilers using CFD and AI techniques. She has contributed to advancements in biofuel co-firing, anaerobic digestion optimization, and intelligent flame diagnostics for steel manufacturing.
Education:
- PhD in Mechanical Engineering (2005) - Neural Network Modelling and Control of Coal Fired Boiler Plant
- BEng (Hons) in Mechanical Engineering (1999)
- Diploma in Mechanical Engineering (1997)
Her work integrates computational fluid dynamics with artificial intelligence to address challenges in energy systems and industrial processes. Key research areas include biofuel utilization, sustainable energy conversion, and thermal process optimization. Over 12 peer-reviewed publications demonstrate her expertise in combustion engineering, biofuel applications, and industrial automation.
Research Highlights:
- Developed flame diagnostic systems for steel reheating burners
- Advanced titration models for anaerobic digestion analysis
- Explored vinasse as a coal co-firing biofuel in fluidized beds
Current projects focus on improving energy efficiency and emissions control through AI-driven process monitoring solutions.
