Prof. Chuanbo Cui | Engineering | Best Researcher Award

Associate professor at Taiyuan University of Technology, China.

Dr. Chuanbo Cui 🎓 is an Associate Professor at the School of Safety and Emergency Management Engineering, Taiyuan University of Technology 🏫. He specializes in mine ventilation, fire prevention, and emergency escape systems in coal mining operations 🔥🚨. Dr. Cui obtained his Ph.D. in Engineering from the China University of Mining and Technology 🎓 and served as a visiting scholar at the University of Maryland in the USA 🌍. A prolific researcher, he has authored numerous SCI-indexed publications 📚, holds 16+ patents 🔏, and contributes actively to coal mine safety innovation and practical industrial applications 🛠️.

Professional Profile:

Scopus

Suitability for Best Researcher Award – Dr. Chuanbo Cui

Dr. Chuanbo Cui is a highly suitable candidate for the Best Researcher Award owing to his profound and practical contributions to the fields of mine safety, fire prevention, and spontaneous combustion control. As an Associate Professor and a lead researcher in safety and emergency management, he has bridged the gap between academic research and real-world industrial applications. His interdisciplinary work has led to significant advancements in fire suppression technology, safety engineering, and disaster mitigation strategies, especially in the high-risk environment of coal mining.

🔹 Education & Experience

• 🎓 B.Sc. in Mathematics and Applied Mathematics – China University of Mining and Technology (2014)

• 🎓 Ph.D. in Safety Science and Engineering – China University of Mining and Technology (2019)

• 🌍 Visiting Scholar – Department of Fire Protection Engineering, University of Maryland, USA (2018)

• 👨‍🏫 Associate Professor – Taiyuan University of Technology (Dec 2019–Present)

🔹 Professional Development

Dr. Cui has demonstrated a commitment to professional development through active research, collaboration, and innovation 📚🤝. He has completed multiple national and provincial-level projects funded by the National Natural Science Foundation of China and other academic bodies 🏢📑. As a member of the Doctoral Think Tank Working Committee under the China International Science and Technology Promotion Association 💡🇨🇳, he contributes to policy and scientific advancement. Dr. Cui also collaborates on initiatives with prestigious institutions and laboratories 🔬, transforming academic findings into real-world technologies that advance mine safety and emergency preparedness 🚨⛑️.

🔹 Research Focus

Dr. Cui’s research is centered on mine safety and disaster risk reduction 🚧🔥. His work includes ventilation systems, fire prevention and extinguishing technologies, spontaneous combustion inhibition, and emergency management in underground coal mining 🏞️🛠️. He explores novel materials like thermo-sensitive inhibitors and microcapsule agents for mitigating fire and explosion hazards 🔬💥. Additionally, he develops virtual reality (VR) systems for fire escape training, enhancing preparedness and psychological resilience 🧠🕹️. His interdisciplinary research spans safety monitoring, gas dynamics, and emergency avoidance, contributing practical innovations to high-risk industrial environments ⚙️🛡️.

🔹 Awards and Honors 🏆

• 🥇 Best Researcher Award Nominee – (Category preference submitted)

• 🏅 Recognized as a key contributor to national safety innovation projects

• 📜 Multiple authorized Chinese patents in mine safety, fire suppression, and mechanical devices

• 🤝 Participated in high-impact national-level collaborations and provincial key research programs

Publication Top Notes

📄 1. Multiple Indicator Gases and Temperature Prediction of Coal Spontaneous Combustion Oxidation Process

Authors: Changkui Lei, Quanchao Feng, Yaoqian Zhu, Ruoyu Bao, Cunbao Deng
Journal: Fuel
Year: 2025
Abstract Summary:
This study investigates the correlation between multiple indicator gases and temperature evolution during the spontaneous combustion of coal. By analyzing the generation and migration of gases such as CO, CO₂, and hydrocarbons under controlled oxidation conditions, the authors propose a temperature prediction model to monitor early signs of combustion. This model is essential for improving mine safety and preventing fire hazards.

📄 2. Migration Characteristics and Prediction of High Temperature Points in Coal Spontaneous Combustion

Authors: Changkui Lei, Yaoqian Zhu, Quanchao Feng, Chuanbo Cui, Cunbao Deng
Journal: Energy
Year: 2025
Abstract Summary:
This paper focuses on the dynamic behavior of high-temperature zones during the spontaneous combustion of coal. The authors model the migration of these hot spots based on thermal diffusion theory and propose a predictive framework to locate them before critical ignition. This research aids in early detection and mitigation of combustion risks in coal mining.