Zhiying Wang | emergency decision-making | Best Researcher Award

Prof. Dr. Zhiying Wang  –  emergency decision-making  –  Best Researcher Award

Anhui University of Technology | China

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📍Current Position

Zhiying Wang, Ph.D. is a Professor and Ph.D. Supervisor at the School of Management Science & Engineering, Anhui University of Technology in Ma’anshan, Anhui, China. Since December 2022, Dr. Wang has led the Center for Crisis Management and Decision Science. In addition to this role, Dr. Wang actively oversees research projects and academic programs in management and emergency decision-making.

 

📝Publication Achievements

Dr. Wang has made significant contributions to academic literature, focusing on decision-making, emergency response, and public opinion crisis management. Recent publications include: Applied Soft Computing – Emotion updating in multi-stage emergency decision-making. Nonlinear Dynamics – Interaction between rumors and behaviors using the SEIR-UD model. Granular Computing – Probabilistic linguistic term sets in decision-making. Each article reflects a rigorous approach to critical real-world issues, furthering the academic understanding of crisis management.

 

🔍Ongoing Research

Dr. Wang’s ongoing research projects delve into multi-stage intervention decisions, emergency management, and public opinion dynamics. Funded by the National Natural Science Foundation of China, these projects explore topics such as: Public Opinion Crisis Intervention – Studying asynchronous evolution and effective multi-stage interventions. Emergency Decision-Making Methods – Incorporating public opinion into decisions for handling major emergencies.

 

🔬 Research Interests

Dr. Wang’s research interests lie at the intersection of Public Opinion Crisis Management, System Optimization, and Decision Support Systems. These fields integrate behavioral science and systems engineering, contributing to effective and informed decision-making practices in emergencies.

 

🎓Academic Background

Dr. Wang holds an impressive academic record: Ph.D. in Management Science and Engineering (Nankai University, 2016) Master’s in Management Science and Engineering (Tianjin University of Technology, 2013) Bachelor’s in Information Management and Information Systems (Ludong University, 2010) These qualifications form a robust foundation in management science, allowing Dr. Wang to merge theory and practical application.

 

🏆Scholarships and Awards 

Dr. Wang has received numerous awards, including the Anhui Province Leading Talents Program for Higher Education: Wanjiang Scholar and the Foundation for Distinguished Young Scholars of Anhui Provincial Department of Education. These awards underscore the impact of Dr. Wang’s research and highlight his contributions to advancing crisis management science.

 

🧬Bioinformatics 

While not traditionally aligned with bioinformatics, Dr. Wang’s work with big data and predictive modeling in crisis scenarios has intersected with bioinformatics principles, especially during epidemiological crises.

 

🌐Professional Associations 

Dr. Wang is a member of several prestigious academic organizations, contributing actively to Management Science, Systems Engineering, and Decision Science forums.

 

 📚Training & Workshops 

Dr. Wang frequently participates in international conferences and workshops. During a Visiting Scholar Program at the University of Windsor, Dr. Wang engaged with leaders in decision science and management, exchanging insights on global crisis management trends and methods.

 

🎤Oral Presentations and🗣️Thought Leadership 

In conferences and seminars, Dr. Wang has presented on topics like public opinion crisis evolution and multi-stage decision-making under uncertainty. These presentations facilitate knowledge sharing and highlight Dr. Wang’s leading role in innovative management science research.

 

🧑‍🔬Tasks Completed as a Researcher 

Key tasks include: Leading Crisis Management Research Center – Dr. Wang has pioneered crisis management methodologies and trained a new generation of researchers. Developing Decision Support Models – Creating models that incorporate public opinion data, environmental factors, and crisis dynamics to support informed decision-making.

 

🚀Success Factors 

Dr. Wang’s success stems from an interdisciplinary approach combining systems theory, decision-making psychology, and practical applications. His commitment to addressing real-world crises positions him as a thought leader in emergency management.

 

🧪Publications & Laboratory Experience

Dr. Wang’s extensive publication record and laboratory experience underscore his proficiency in data-driven modeling and crisis simulation. His work in crisis prediction and public sentiment analysis has significantly advanced methodologies in the field.

 

🔍 Conclusion

Zhiying Wang, Ph.D., is a recognized expert in crisis management and emergency decision-making. As a professor, researcher, and mentor, Dr. Wang’s contributions continue to influence both academia and public policy. His efforts in developing innovative decision-support models have set new standards for managing public opinion crises.

📚Publications

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

    Authors: Liu, H., Wang, Z., Jia, H.

    Journal: Granular Computing

A SEIR-UD model with reinforcement effect for the interaction between rumors and rumor-induced behaviors

    Authors: Zhao, H., Wang, Z., Zhao, H., Nie, H.

    Journal: Nonlinear Dynamics

An intuitionistic fuzzy grey-Markov method with application to demand forecasting for emergency supplies during major epidemics

    Authors: Wang, Z., Jia, H.

    Journal: Grey Systems

Emergency material distribution and transportation optimization model considering altruistic behavior of disaster victims | 考虑灾民利他行为的应急物资分配与运输优化模型

    Authors: Wang, Z., Fu, H., Nie, H., Chang, Z.

   Journal: China Safety Science Journal

Impact and trade off analysis of land use change on spatial pattern of ecosystem services in Chishui River Basin

   Authors: Luo, R., Yang, S., Wang, Z., Zhang, T., Gao, P.

    Journal: Environmental Science and Pollution Research