Shibo Kuang

Dr. Shibo Kuang is a Senior Research Fellow in the Department of Chemical & Biological Engineering at Monash University, specializing in computational process engineering with a focus on low-carbon metallurgy, waste management, and smart process design. His work integrates physics-based and AI-driven modeling to optimize particulate and multiphase systems, addressing challenges in particle transportation, separation, and reacting processes. He leads projects funded by ARC and industry partners, including the ARC Research Hub for Smart Process Design and Control. Kuang actively supervises PhD students in these areas and teaches CHE4162 (Particle Technology). His recent contributions span blast furnace efficiency, hydrocyclone optimization, and sustainable metallurgical processes.

Research interests include developing predictive models for industrial systems, reducing environmental impacts via low-carbon technologies, and advancing smart process control. Ongoing projects involve direct reduction technologies, cyclone control systems, and plastic upcycling from waste streams. He collaborates with global institutions and industry leaders like Rio Tinto to translate academic research into practical applications.

His 2025 publications highlight advancements in CFD-PBM modeling of smelting furnaces, hydrocyclone geometry optimization, and blast furnace profile simulations. Prior work includes studies on pneumatic conveying tribocharging and machine learning for real-time process prediction. Kuang’s research aligns with UN Sustainable Development Goals related to climate action, responsible consumption, and industrial innovation.