邱华昕

办公室: 旭日新楼 421

邮箱: qiuhx@dhu.edu.cn

研究兴趣: 服务运作管理、运筹与优化、数据驱动决策等

简介

邱华昕(1994-),东华大学旭日工商管理学院讲师。主要从事服务运作优化、数据驱动决策等相关领域的理论与方法研究;发表SCI、EI检索文章及其他中文核心期刊多篇;担任《Annals of Operations Research》、《Complex & Intelligent Systems》等学术期刊匿名审稿人。

教育背景

  • 2021.01-2022.01  Industrial Systems Engineering & Management, National University of Singapore, 国家公派联合培养博士

  • 2016.09-2023.03  管理科学与工程, 大连理工大学, 工学博士

  • 2012.09-2016.06  信息管理与信息系统, 大连理工大学, 管理学学士

工作经历

  • 2023.05至今    旭日工商管理学院, 东华大学, 讲师

学术成果

期刊论文

  • 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.

  • 崔少泽, 邱华昕*, 王苏桐. 城市人才吸引力评价模型研究——以深圳市为例. 科研管理. 2021, 42(7): 60-67.

教学科研项目

  • 2020至今  不确定环境下基于数据解析的家庭医疗护理资源调度研究, 国家自然科学基金面上项目(71971041), 参与人

  • 2016-2020  大数据环境下知识融合与服务的方法及其在电子政务中的应用研究,国家自然科学基金重点项目(71533001), 参与人