赵文辉，男，2022年博士毕业于北京理工大学工商管理专业。一直以来致力于数据和因果驱动的管理决策建模和优化研究，当前已在iScience、Omega、Annals of Operations Research、Technological Forecasting & Social Change、Resource Conservation and Recycling、计量经济学报等期刊发表论文10余篇，曾主研包括国家重点研发计划、国家杰出青年科学基金、自科面上在内的多项国家级课题。

代表性论文：

[1] Wang Z, Zhao W, Wang B, et al. Environmentally vulnerable or sensitive groups exhibiting varying concerns towards air pollution can drive government response to improve air quality[J]. iScience, 2022: 104460. (DOI：https://doi.org/10.1016/j.isci.2022.104460)

[2] Wang Z, Zhao W, Deng N, et al. Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID[J]. Omega, 2021, 100. (SCI, JCR Q1, ABS 3*)

[3] Zhao, W., Li, T., Xu, D. et al. A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model. Ann Oper Res (2022). https://doi.org/10.1007/s10479-022-05070-y. (SCI, JCR Q1, ABS 3*)

[4] Tong Li, Zhaohua Wang, Wenhui Zhao*, Comparison and application potential analysis of autoencoder-based electricity pattern mining algorithms for large-scale demand response[J]. Technological Forecasting and Social Change, 2022, 121523. (SSCI, JCR Q1, ABS 3*)

[5] Bo Wang, et. al, Zhaohua Wang*, Wenhui Zhao*. Government responsive selectivity and public limited mediation role in air pollution governance: Evidence from large scale text data content mining[J]. Resource Conservation & Recycling，2022. (SCI, JCR Q1)

研究领域主要涵盖：机器学习，深度学习，统计因果推断（因果图），大数据因果推断，运筹优化，大规模需求响应。目前主要致力于大数据因果推断、数据驱动的优化、偏行为经济学理论下的计量实证等三个方向的研究，欢迎有志之士一起合作做有意思的研究，个人工作邮箱：zwh_bit@foxmail.com。