INTRODUCTION

Dr. Huaxin Qiu (1994-), lecturer of Glorious Sun School of Management, Donghua University. She is mainly engaged in theoretical and methodological research in service operations management and optimization, data-driven decision making and other related fields. Dr. Qiu has published several papers in SCI-indexed, EI-indexed and Chinese core journals. She is also a blind reviewer of several academic journals，like Annals of Operations Research, Complex & Intelligent Systems.

Education

• 2021.01-2022.01  Industrial Systems Engineering & Management, National University of Singapore, Visiting Scholar

• 2016.09-2023.03  Management Science and Engineering, Dalian University of Technology, Ph.D.

• 2012.09-2016.06  Information Management and Information System, Dalian University of Technology, B.S.

Work Experience

• since 2023.05    Glorious Sun School of Business and Management, Donghua University, Lecturer

ACADEMIC ACHIEVEMENTS

Journal Papers

• Qiu, H., Wang, D., Yin, Y., Cheng, T.E., & Wang, Y. (2022). An exact solution method for home health care scheduling with synchronized services. Naval Research Logistics, 69 (5), 715–733.

• Qiu, H., Wang, S., Yin, Y., Wang, D., & Wang, Y. (2022). A deep reinforcement learning-based approach for the home delivery and installation routing problem. International Journal of Production Economics, 244, 108362.

• Qiu, H., Cui, S., Wang, S., Wang, Y., & Feng, M. (2022). A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China. IEEE Transactions on Intelligent Transportation Systems, 23(10), 1-14.

• Qiu, H., Wang, D., Wang, Y., & Yin, Y. (2019). MRI appointment scheduling with uncertain examination time. Journal of Combinatorial Optimization, 37(1), 62-82.

• Cui, S., Qiu, H., Wang, S., & Wang, Y. (2021). Two-stage stacking heterogeneous ensemble learning method for gasoline octane number loss prediction. Applied Soft Computing, 113, 107989.

• Wei, X., Qiu, H., Wang, D., Duan, J., Wang, Y., & Cheng, T. (2020). An integrated location-routing problem with post-disaster relief distribution. Computers & Industrial Engineering, 147, 106632.

• Wang, D., Qiu, H.*, Wu, C. C., Lin, W. C., Lai K., & Cheng S. R. (2019). Dominance rule and opposition-based particle swarm optimization for two-stage assembly scheduling with time cumulated learning effect. Soft Computing, 23(19), 9617-9628.

• Wang, D., Yu, Y., Qiu, H., Yin, Y., & Cheng, T. (2020). Two-agent scheduling with linear resource-dependent processing times. Naval Research Logistics, 67(7), 573–591.

• Cui, S., Qiu, H.*, & Wang, S. (2021). A research on the urban talent attraction evaluation model by taking Shenzhen as an example. Science Research Management, 42(7): 60-67.

Teaching and Research Projects

• since 2020  Research on data resolution-based scheduling of home health care resources in uncertain environments, National Natural Science Foundation of China (71971041), Participant

• 2016-2020  Research on the method of knowledge fusion and service in big data environment and its application in e-government, Key Program of National Natural Science Foundation of China (71533001), Participant