Ezgi Atalay | Disaster Management | Research Excellence Award

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Assist. Prof. Dr. Ezgi Atalay | Disaster Management | Research Excellence Award

Assistant Professor Doctor | Bolu Abant Izzet Baysal University | Turkey

Assist. Prof. Dr. Ezgi Atalay is a disaster management scholar whose research integrates disaster science, public health, and social policy with a strong focus on the resilience and needs of vulnerable populations, including older adults, women, and individuals with disabilities. Her work contributes to the development of disaster resilience measurement tools, phenomenological analyses of disaster experiences, and assessments of risk perception and community preparedness. She has published widely in international peer-reviewed journals on themes such as elderly disaster resilience, flood disaster experiences, the psychological power of women in disaster contexts, the role of community pharmacists during emergencies, and bibliometric evaluations of disaster and wildfire studies. Her conference presentations span disaster communication, evacuation challenges, volunteer issues in disaster organizations, and migrant women’s health. She has authored influential book chapters on artificial intelligence in disaster management, disaster education, cultural heritage protection, and search-and-rescue techniques. Dr. Atalay has contributed to several national and international research projects focusing on disaster awareness training, earthquake response evaluation, inclusive disaster strategies for visually impaired individuals, and community-level resilience development. With an interdisciplinary and practice-oriented research approach, she advances evidence-based frameworks that enhance preparedness, response, and societal resilience in the face of disasters.

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Featured Publications

Jianfeng Qiao | Accident Analysis | Best Researcher Award

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Mr. Jianfeng Qiao | Accident Analysis | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

Dr. Jianfeng Qiao is an Associate Professor at the School of Management and Engineering, Capital University of Economics and Business (CUEB), Beijing. His research focuses on accident analysis and safety risk early warning using advanced machine learning and artificial intelligence technologies. He has authored influential publications in top-tier international journals and has collaborated globally, including serving as a visiting scholar at Rutgers University, USA. Dr. Qiao’s work bridges engineering management, data science, and safety technology, contributing significantly to the fields of construction safety, risk optimization, and intelligent decision support systems.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Engineering
    Beijing University of Posts and Telecommunications, Beijing, China
    September 2011 – July 2015

  • Visiting Scholar
    Rutgers, The State University of New Jersey, USA
    March 2019 – May 2022
    (Focus: Machine learning applications in accident analysis and safety systems)

Professional Experience 💼

  • Associate Professor
    School of Management and Engineering, Capital University of Economics and Business, Beijing, China
    Dates: Ongoing

    • Teaching courses related to engineering management and safety systems

    • Conducting research in machine learning-driven safety risk assessment and early warning models

    • Supervising graduate students in safety engineering and AI applications

  • Research Collaborator
    Rutgers University, USA (as Visiting Scholar)

    • Conducted collaborative research projects focused on AI in construction accident prevention

    • Developed methods for classifying narrative accident data using deep learning techniques

Research Interests 🔬

  • Accident analysis and prediction using machine learning

  • Early warning systems for safety risks

  • Text mining and natural language processing in safety narratives

  • Entropy-based methods in project management

  • AI applications in construction and industrial safety

  • Resource optimization and scheduling

Conclusion🌟

Dr. Jianfeng Qiao is a committed academic and researcher whose work advances the intersection of machine learning and safety engineering. Through his academic publications and international collaborations, particularly in the area of construction accident prevention, he continues to impact both scholarly communities and practical safety management systems. His expertise and contributions make him a valued expert in AI-driven safety solutions.

Publications 📚

  • 🏗️ Qiao, J., Wang, C., Guan, S., Lv, S. (2022).
    Construction-Accident Narrative Classification Using Shallow and Deep Learning.
    Journal of Construction Engineering and Management, 148(9), 04022088.
    🔗 https://doi.org/10.1061/(ASCE)CO.1943-7862.0002354
    ✨ Used machine learning techniques to classify construction accident narratives.

  • ⚙️ Qiao, J., Li, Y. (2018).
    Resource Leveling Using Normalized Entropy and Relative Entropy.
    Automation in Construction, 87, 263–272.
    🔗 https://doi.org/10.1016/j.autcon.2017.12.022
    📊 Introduced entropy-based methods for efficient resource scheduling in construction.