Ms. Shennan Zhou, Zhejiang Ocean University, China.
👩🔬 Ms. Shennan Zhou is a Doctor of Safety Science and Engineering at Zhejiang Ocean University. With a background from China University of Petroleum and Beijing Institute University, she specializes in explosion consequence and risk assessment in the chemical industry. 🔬 She has contributed to national R&D projects, published in SCI-indexed journals, and holds two patents under process. 💡 Her work integrates data-driven modeling and simulation techniques for real-time safety management. 🚀
Profile
Scopus Profile
🎓 Early Academic Pursuits
Ms. Shennan Zhou embarked on her academic journey with a Master’s degree in Safety Engineering from the China University of Petroleum (2014–2017). Driven by an innate curiosity and dedication to industrial safety, she furthered her education by pursuing a Doctorate in Safety Science and Engineering at the Beijing Institute University (2018–2025). Her research foundation was shaped within the prestigious State Key Laboratory of Explosion Science and Safety Protection, equipping her with a strong analytical and experimental background.
💼 Professional Endeavors
Ms. Zhou gained hands-on industrial experience early in her career, serving as a Research Operation Specialist at Shanghai Chemical Industry Park Common Corridor Co., Ltd (2017–2018). Her academic acumen transitioned into academia where she presently serves as a Thesis Advisor at Zhejiang Ocean University (2025–Present) in the School of Petrochemical Engineering and Environment. Her professional roles have consistently aligned with her expertise in chemical safety and risk analysis.
Ms. Zhou’s research is rooted in the risk and consequence assessment of major accidents in the chemical industry. To address the challenge of insufficient data on large-scale explosions, she has innovatively applied numerical simulation and data-driven modeling. Her work enables real-time assessment of human risk and equipment failure by simulating explosion scenarios in both theoretical and practical environments, thereby enhancing early warning systems and emergency responses.
🌍 Impact and Influence
By introducing advanced modeling techniques into accident analysis, Ms. Zhou has made it possible to predict and mitigate catastrophic chemical incidents more effectively. Her work is instrumental in bridging the gap between theoretical research and industrial application, especially in high-risk chemical zones. Her innovative approach contributes significantly to industrial safety protocols and policy formulation in China.
🧠 Research Skills
Her core research skills include data analytics, numerical modeling, real-time risk assessment, simulation of explosion consequences, and safety systems optimization. These skills are complemented by a sound understanding of chemical engineering principles, enhancing her ability to merge theory with application seamlessly.
🏅 Awards and Honors
Ms. Zhou is a strong contender for the Global Best Achievements Awards, recognizing her pioneering role in explosion risk assessment and simulation. Her academic rigor and industrial relevance make her achievements both notable and applicable on a global scale.
🏛️ Legacy and Future Contributions
Ms. Zhou envisions developing a comprehensive digital twin for chemical clusters that can predict multiple accident scenarios in real time. Her commitment to technology-driven safety solutions will likely pave the way for AI-enhanced risk management systems in the petrochemical sector. Her legacy is expected to inspire the next generation of safety engineers and risk analysts in both academic and industrial domains.
Publications Top Notes
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📄 A Fusing NS with NN Model for the Consequence Prediction of Vapor Cloud Explosion
🗓️ Year: Likely 2024
📰 Journal: Possibly Process Safety and Environmental Protection or similar
🔍 Focus: Integration of numerical simulation (NS) with neural networks (NN) for explosion prediction
⚡ Emoji: 🤖🔥📈
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📄 A Conceptual Framework Integrating Numerical Simulation with System Theory-Based Method for Quantitative Explosion Process Hazard Analysis
🗓️ Year: Likely 2024
📰 Journal: Possibly Journal of Loss Prevention in the Process Industries
🔍 Focus: Framework merging system theory and simulations for hazard analysis
⚡ Emoji: 🧠💥📊
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📄 A Mechanism Model and Data-Driven Fusion Approach for Rapid Consequence Prediction of Explosion Accidents in Chemical Clusters
🗓️ Year: 2023
📰 Journal: Process Safety and Environmental Protection
🔍 Focus: Combines mechanism modeling and data-driven strategies for real-time consequence prediction
⚡ Emoji: 🧪📉⚠️
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📄 An Integrated Method for Multi-Factor Risk Assessment and Dynamic Emergency Planning During Explosion Accidents in Chemical Clusters
🗓️ Year: 2024
📰 Journal: Safety Science or similar
🔍 Focus: Dynamic risk and emergency response modeling
⚡ Emoji: 🚨📋🧯
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📄 Quantitative Risk Assessment of Explosion Rescue by Integrating CFD Modeling with GRNN
🗓️ Year: 2024
📰 Journal: Journal of Hazardous Materials or Process Safety and Environmental Protection
🔍 Focus: Combines Computational Fluid Dynamics (CFD) with General Regression Neural Network (GRNN) for rescue operations
⚡ Emoji: 💻🌪️🚑