 陈亚，男，1988年11月生，2016年2月参加工作，现任合肥工业大学经济学院副教授，硕士生导师。2015年获中国科学技术大学管理科学与工程专业博士学位，先后访问美国伍斯特理工学院、艾德菲大学、澳大利亚昆士兰大学。
现主要从事非参数评估理论与方法、技术效率与全要素生产率、环境技术效率与碳排放等研究。目前指导硕士研究生5人，发表SSCI/SCI论文十余篇,担任国际SSCI/SCI期刊Applied Economics、Energy Economics、Computational Economics、Omega、European
Journal of Operational Research等匿名审稿人，现主持国家自然科学基金1项，安徽省自然科学基金1项。
相关文献：
1. Chen, Ya, Li, Y.J.,
Liang, L., & Wu, H.Q. (2017). An Extension on Super Slacks-based Measure
DEA Approach. Annals of Operations Research,
doi:10.1007/s10479-017-2495-2.
2.
Chen, Ya, Wang, J., Zhu, J., Sherman, H.D., & Chou, S.Y. (2017). How
the Great Recession Affects Performance: A Case of Pennsylvania Hospitals using
DEA. Annals of Operations Research, doi:10.1007/s10479-017-2516-1.
3.
Chen, Ya, Chen, Y. & Oztekin, A. (2017). A Hybrid Data Envelopment
Analysis Approach to Analyze College Graduation Rate at Higher Education
Institutions, INFOR: Information Systems and Operational Research,
55(3), 188–210.
4.
Chen, Ya, Gong, Y.D., & Li, X. (2017). Evaluating NBA Player Performance
Using Bounded Integer Data Envelopment Analysis. INFOR: Information Systems
and Operational Research, 55(1), 38–51.
5.
Chen, Ya, Cook, W.D., Du, J., Hu, H., and Zhu, J. (2017). Bounded and
Discrete Data and Likert Scales in Data Envelopment Analysis: Application to
Regional Energy Efficiency in China. Annals of Operations Research, 255,
347–366.
6.
Chen, Ya, Li, Y.J., Liang, L., Salo, A., & Wu, H.Q. (2016). Frontier
Projection and Efficiency Decomposition in Two-stage Processes with
Slacks-based Measures. European Journal of Operational Research, 250(2),
543–554.
7.
Chen, Ya, Li, Y.J., Wu, H.Q., and Liang, L. (2014). Data Envelopment
Analysis with Missing Data: a Multiple Linear Regression Analysis Approach. International
Journal of Information Technology & Decision Making, 13(1), 137–153.
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