人物简介

高学鸿
副教授

办公电话: 15239179027


本科课程 : 产品安全工程、应急管理


研究生课程 :应急管理、优化建模


科研方向 :
智慧应急
灾后响应
产品安全
稳健优化
人工智能


2020年8月毕业于韩国釜山大学。2020年12月加入北京科技大学土木与资源工程学院安全科学与工程系任教。主要从事灾后响应、智慧应急、产品安全、及稳健优化相关研究领域工作。

代表性论著:


1. Gao, Xuehong, et al. 2021 "Multi-modal transportation planning for multi-commodity rebalancing under uncertainty in humanitarian logistics." Advanced Engineering Informatics 47: 101223.
2. C. Cao, Y. Liu, O. Tang, and Gao, Xuehong. 2021 “A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains” International Journal of Production Economics: 108081.
3. Gao, Xuehong and C. Cao. 2020 “A novel multi-objective scenario-based optimization model for sustainable reverse logistics supply chain network redesign considering facility reconstruction” Journal of Cleaner Production, 122405.
4. Gao, Xuehong, and C. Cao. 2020 "Multi-commodity rebalancing and transportation planning considering traffic congestion and uncertainties in disaster response." Computers & Industrial Engineering 149: 106782.
5. Gao, Xuehong, et al. 2019 “A robust two-stage transit-based evacuation model for large-scale disaster response.” Measurement. 145:713-723.
6. Gao, Xuehong. 2019 "A bi-level stochastic optimization model for multi-commodity rebalancing under uncertainty in disaster response." Annals of Operations Research: 1-34.
7. Gao, Xuehong. 2020 “A location-driven approach for warehouse location problem in disaster response.” Journal of the Operational Research Society: 1-20.

获奖:


(1)荣获“2019年度国家优秀自费留学生”证书。
(2)担任European Journal of Operational Research, Advanced Engineering Informatics, Transportation Research Part E: Logistics and Transportation Review, Transportation Research Part C: Emerging Technologies, Computers and Industrial Engineering, International Journal of Production Research 等国际期刊审稿人。