Ping Wang | Data envelopment analysis | Best Researcher Award | 13112

Dr. Ping Wang | Data envelopment analysis | Best Researcher Award

Dr. Ping Wang, Hefei University of technology, China

Dr. Ping Wang is a Postdoctoral Researcher at Hefei University of Technology, China. Her research focuses on Data Envelopment Analysis (DEA), efficiency measurement, network systems, robust optimization, and attribute preference. With a strong academic background and research expertise, Dr. Wang has published papers in top-tier journals, including the European Journal of Operational Research and Omega.

Profile

Scopus

Educational Qualification 🎓

Dr. Ping Wang’s academic journey began with a Bachelor’s degree in Information Management and Information System from the School of Management, Henan University of Science and Technology, Luoyang, Henan, China. She graduated in 2017. Dr. Wang then pursued her Master’s degree in Management Science and Engineering from the School of Business, Central South University (Project 985), Changsha, Hunan, China, under the supervision of Prof. Qingxian An. She completed her Master’s degree in 2020.

Professional Experience 💼

Dr. Ping Wang is currently a Postdoctoral Researcher at the School of Management, Hefei University of Technology. Her research interests include Data Envelopment Analysis (DEA), efficiency measurement, network systems, robust optimization, and attribute preference.

Contributions and Research Focus 🔍

Dr. Wang’s research focuses on developing and applying DEA and other optimization techniques to evaluate the efficiency and productivity of various systems, including supply chains, healthcare systems, and financial institutions. Her work has been published in several top-tier journals, including the European Journal of Operational Research and Omega.

Accolades and Recognition 🏆

Dr. Wang has received several awards and honors for her outstanding academic achievements. These include the President’s Innovation Award of Central South University, Outstanding Graduate of Hunan Province, and Outstanding Student of Central South University.

Impact and Influence 🌎

Dr. Wang’s research has the potential to significantly impact various fields, including operations management, supply chain management, and healthcare management. Her work on DEA and other optimization techniques can help organizations improve their efficiency and productivity, leading to better outcomes and decision-making.

Legacy and Future Contributions 🌟

Dr. Ping Wang’s research contributions have laid a solid foundation for her future work. She plans to continue exploring the applications of DEA and other optimization techniques in various fields, with a focus on developing new methods and models that can help organizations improve their efficiency and productivity. With her strong academic background, research expertise, and passion for innovation, Dr. Wang is poised to make significant contributions to the field of operations management and beyond.

Research Projects/Grants 📈

Dr. Wang has participated in several research projects, including the National Natural Science Foundation of China project “Research on the Method and Application of Network DEA Cooperative Game Oriented to Sharing Economy” (No. 72171238). She has also received funding from the Fundamental Research Funds for the Central Universities of Central South University (No. 2021zzts0028) for her research project “Research on Fixed Cost Allocation Method of Two-stage Network System from the Perspective of Efficiency.”

Publication Top Notes📝

Author: An, Q., Wang, P., Zeng, Y., Dai, Y.

Journal: Computers and Industrial Engineering

Year: 2022

Author: Li, J., Wang, P., Tao, X., Wen, Y.

Journal: Systems Science and InformationThis link is disabled.

Year: 2021

Author: An, Q., Wang, P., Yang, H., Wang, Z.

Journal: OR SpectrumThis link is disabled.

Year: 2021

Author: An, Q., Wang, P., Shi, S.

Journal: Computers and Industrial Engineering

Year: 2020

Author: An, Q., Wang, P., Emrouznejad, A., Hu, J.

Journal: European Journal of Operational ResearchThis link is disabled.

Year: 2020