Prof. Dan Liu | Public Safety and Emergency Management | Best Researcher Award

Huazhong University of Science and Technology, China

Profile

ORCID

🎓 Early Academic Pursuits

Born on July 5, 1985, Dr. Dan Liu embarked on his academic journey at Huazhong University of Science and Technology in Wuhan, China. He obtained his Bachelor’s Degree in Automation (2003–2007) and was selected for a prestigious direct doctoral program through recommendation, completing his Ph.D. in Control Science and Engineering (2007–2015). His early research efforts laid a solid foundation in systems engineering and control theory, driving his lifelong passion for intelligent computing and safety management.

🧑‍💼 Professional Endeavors

Currently, Dr. Liu is a Professor and Doctoral Supervisor at Wuhan University of Technology, where he also serves as the Vice Dean of the School of Safety Science and Emergency Management. He holds concurrent key leadership roles as:

  • Deputy Director of the Hubei Safety Warning and Emergency Processing Technology Collaborative Innovation Center

  • Deputy Director of the Hubei Crisis and Disaster Emergency Management Research Center

  • Vice Dean at the Hubei Institute of Innovation and Development

His administrative and strategic input plays a crucial role in shaping emergency management education and research in China.

🔬 Contributions and Research Focus

Dr. Liu’s work is highly interdisciplinary, blending risk analysis, early warning systems, machine learning, and intelligent computing with traditional systems engineering principles. He has led and participated in major national research projects, including:

  • Infrastructure Risk Governance in Megacities (2023–2026)

  • Multi-Source Intelligence Fusion for Emergency Decision-Making (2016–2019)

  • Grassroots Epidemic Perception Using Multi-Source Data Fusion (2022–2025)

These projects underscore his commitment to tackling real-world safety and emergency challenges with data-driven, AI-powered solutions.

🌐 Academic Roles & Society Involvement

Dan Liu is actively involved in academic publishing and scientific communities. He serves as:

  • Youth Editorial Board Member of China Safety Science Journal

  • Editor for Journal of Wuhan University of Technology (Information & Management Engineering)

  • Director of the Hubei Systems Engineering Society

  • Member of China Systems Engineering Society and the China Association for Occupational Safety and Health

His editorial and organizational contributions reinforce the advancement of safety science and systems thinking in academia and industry.

🏆 Impact and Influence: Competitions & Awards

Dr. Liu has guided and mentored numerous student teams, achieving significant success in national competitions:

  • 2nd Prize, China Invention Association Invention Innovation and Entrepreneurship Award (2024)

  • Multiple Awards (2nd/3rd Prizes) in Public Management and Mathematical Modeling Competitions (2018–2025)

His influence extends beyond research to developing next-generation talents through rigorous competition coaching.

📚 Academic Cites: Representative Publications

Professor Liu has authored and co-authored over 10 influential journal articles, published in top-tier journals such as:

  • Environmental Modelling & Software (2025)

  • Journal of Energy Storage (2025)

  • Water Resources Management (2024)

  • PLOS ONE (2022)

  • China Safety Science Journal and Journal of Safety and Environment

His papers address key areas including carbon emissions forecasting, battery state-of-health prediction, emergency delivery network simulation, and deep learning applications in safety management.

💡 Technical Skills & Innovations

Dr. Liu possesses advanced skills in:

  • Graph Convolutional Networks (GCN)

  • Spatio-Temporal Attention Neural Networks

  • LSTM and IPSO algorithms

  • Genetic Algorithms for predictive modeling

  • D-S Evidence Theory for group decision-making

He also holds a national invention patent (CN111639845A, 2020) for evaluating emergency plan effectiveness, showcasing his contributions to real-world technological solutions.

👨‍🏫 Teaching Experience

As a committed educator, Dr. Liu combines his research excellence with academic mentorship. He supervises doctoral candidates and postgraduate researchers in safety science, systems engineering, and intelligent computation. His balanced approach to theoretical instruction and hands-on practice fosters a strong learning environment for future scholars and professionals.

🌟 Legacy and Future Contributions

Professor Dan Liu stands at the intersection of safety science, artificial intelligence, and policy innovation. With a strong publication record, research leadership, and academic service, he continues to push the boundaries of emergency management intelligence in megacities and multi-source data fusion for real-time decision-making. His legacy is already forming through impactful research and dedicated mentorship, with promising future contributions in resilient urban infrastructure, AI-driven risk mitigation, and intelligent emergency governance systems.

Selected Publications

  • Title: Multi-step ahead SOH prediction for vehicle batteries based on multimodal feature fusion and spatio-temporal attention neural network
    Authors: Da Huang, Mengjiao Qin, Dan Liu, Qiuyue Sun, Song Hu, Ying Zhang
    Journal: Journal of Energy Storage
    Year: 2025

  • Title: Carbon emissions prediction based on ensemble models: An empirical analysis from China
    Authors: Song Hu, Shixuan Li, Lin Gong, Dan Liu, Zhe Wang, Gangyan Xu
    Journal: Environmental Modelling & Software
    Year: 2025

  • Title: Graph Convolutional Neural Network for Pressure Prediction in Water Distribution Network Sites
    Authors: Dan Liu, Pei Ma, Shixuan Li, Wei Lv, Danhui Fang
    Journal: Water Resources Management
    Year: 2024

  • Title: SOH Monitoring of New Energy Vehicle Lithium Batteries based on IPSO-LSTM
    Authors: Dan Liu
    Journal: China Safety Science Journal
    Year: 2023

  • Title: A Combined Model for Predicting Dam Deformation based on Genetic Algorithm and Long Short-Term Memory Neural Network
    Authors: Dan Liu
    Journal: Journal of Safety and Environment
    Year: 2023

 

Dan Liu | Public Safety and Emergency Management | Best Researcher Award

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