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陈晓庆，南京信息工程大学 管理工程学院 ，数字经济系讲师。毕业于东南大学经济管理学院，获管理学博士，法国 IESEG School of Management 留学访问。

主要研究兴趣集中于数字经济、决策评价、效率生产率分析，行为偏好。

在国外《Socio-Economic Planning Sciences》、《Technological Forecasting and Social Change》、《Journal of the Operational Research Society》、《Expert Systems with Applications》、《Engineering Applications of Artificial Intelligence》等期刊共发表科研论文二十余篇。

理论方法：运筹学、行为心理学、经济学

使用工具： Matlab、Python、Lingo

讲授课程：《大数据计算方法》、《预测与决策》、《数据安全与隐私》、《数字经济概论》

主持的项目：

[1] 2024.01.01-2026.12.31 国家自然科学基金青年项目《多维行为偏好的非参数前沿评估建模及其在高技术产业绿色发展应用》（72301145），资助额度30万元。

[2] 2023.07.01-2025.07.01 江苏省高等学校自然科学研究面上项目《行为优化视角下高技术产业绿色发展效率评估建模与提升路径研究》（23KJB120008），资助额度3万元。

[3] 2023.09.01-2025.07.01江苏高校哲学社会科学研究一般项目申请书《行为优化视角下非参数前沿评估建模及其在高技术产业绿色发展应用研究》（2023SJYB0177），资助额度1万元。

[4] NUIST人才引进启动基金（2023r030）

[5] 2021年东南大学优秀博士学位论文培育项目《基于不完全信息和管理偏好的DEA模型构建及在资源配置中的应用》（YBPY2145），资助额度4万元。

[6] 2020.10.31-2022.06.30：国家建设高水平大学公派研究生项目（CSC: 202006090203）。

参与的项目：

[1] 轨道交通控制与安全国家重点实验室项目(RCS2019K004)：基于RAMSI的高速列车运营安全集成评估方法及预控研究（刘新旺教授主持）

[2] 2020年横向课题项目《国家能源集团碳减排因素分析、效率评估及能源转型策略研究项目》（刘新旺教授主持）

[3] 国家自然科学基金面上项目(72071045)：基于不确定认知的风险分析与评估方法及其医疗服务协同群决策应用（刘新旺教授主持）

[4] 国家自然科学基金面上项目(71771051)：二型模糊社会化商务决策方法及其推荐应用（刘新旺教授主持）

代表作 (一作或通讯作者)： 

[1] Xiaoqing Chen, Xinwang Liu*, Qingyuan Zhu, Zhiwei Wang.(2023). DEA Cross-efficiency Models with Prospect Theory and Distance Entropy: An Empirical Study on High-tech Industries. Expert Systems with Applications, 122941.

[2] Xiaoqing Chen, Kristiaan Kerstens*, Mike Tsionas. (2023). Does Productivity Change at All in Swedish District Courts? Empirical Analysis Focusing on Horizontal Mergers. Socio-Economic Planning Sciences, 101787. 

[3] Xiaoqing Chen, Xinwang Liu* (2023). Comparing Malmquist and Hicks-Moorsteen productivity changes in China's high-tech industries: exploring convexity implications. Central European Journal of Operations Research, 1-29.

 [4] Xinwang Liu, Xiaoqing Chen*, Qun Wu (2023). Exploring the systematic coupling coordination degrees of innovation activities in China's high-tech industry. Technology Analysis & Strategic Management, 1-18. 

[5] Xinwang Liu, Xiaoqing Chen*, Qun Wu, Muhammet Deveci, Dursun Delen (2023). Measuring Efficiency of the High-Tech Industry Using Uncertain Multi-Stage Nonparametric Technologies. Expert Systems with Applications, 216, 119490.

[6] Xiaoqing Chen, Kristiaan Kerstens* (2023) Evaluating Horizontal Mergers in Swedish District Courts Using Plant Capacity Concepts: With a Focus on Nonconvexity. RAIRO-Operations Research, 57, 219-236. 

 [7] Xiaoqing Chen, Xinwang Liu*, Qun Wu, Muhammet Deveci, Luis Martínez. (2022). Measuring Innovation Efficiency Using Interval Type-2 Fuzzy Super-Efficiency Slack-Based Measure Approach. Engineering Applications of Artificial Intelligence, 116, 105405. 

[8] Xiaoqing Chen, Xinwang Liu*, Qingyuan Zhu (2022) Comparative Analysis of Total Factor Productivity in China's High-Tech Industries. Technological Forecasting & Social Change, 175, 121332 (PP: 1-14). 

 [9] Xiaoqing Chen, Xinwang Liu*, Qingyuan Zhu, Jing Jiang (2022) R&D innovation efficiency of Chinese high-tech industries—Three-stage network approach with fairness consideration. Journal of the Operational Research Society, 73(7), 1562-1577. 

[10] Xiaoqing Chen, Xinwang Liu*, Zaiwu Gong, Jiangtao Xie (2021) Three-stage super-efficiency DEA models based on the cooperative game and its application on the R&D green innovation of the Chinese high-tech industry. Computers & Industrial Engineering, 156, 107234 (pp: 1-27).

[11] Xiaoqing Chen, Xinwang Liu*, Yong Qin (2021) An extended CREAM model based on analytic network process under the type-2 fuzzy environment for human reliability analysis in the high-speed train operation. Quality and Reliability Engineering International, 37(1), 284-308.

[12] Xiaoqing Chen, Xinwang Liu*, Weizhong Wang, Zaiwu Gong (2020) Behavioral DEA model and its application to the efficiency evaluation of manufacturing transformation and upgrading in the Yangtze River Delta. Soft Computing, 24(14): 10721-10738. 

[13] Xiaoqing Chen, Xinwang Liu*, Yong Qin (2019) An extended HFACS based risk analysis approach for human error accident with interval type-2 fuzzy sets and prospect theory. Journal of Intelligent & Fuzzy Systems, 37(6): 8381-8395. 

[14] Xiaoqing Chen, Xinwang Liu*, Zaiwu Gong (2019) Extended DEA model under type-2 fuzzy environment: An application of rural poverty reduction in Hainan province. Kybernetes, 48(5): 1095-1133.

合作论文：

[1] Weiwei Guo, Weiguo Zhang, Xiaoqing Chen. Portfolio Selection Models Considering Fuzzy Preference Relations of Decision Makers. (2024). IEEE Transactions on Systems Man and Cybernetics Systems, PP(99): 1-12.

[2] Kerui Yu, Qun Wu, Xiaoqing Chen, Weizhong Wang, Abbas Mardani (2023). An integrated MCDM framework for evaluating the environmental, social, and governance (ESG) sustainable business performance. Annals of Operations Research, 1-32.

[3] Weizhong Wang, Xiao Han, Weiping Ding, Qun Wu, Xiaoqing Chen, & Muhammet Deveci. (2023). A Fermatean fuzzy Fine–Kinney for occupational risk evaluation using extensible MARCOS with prospect theory. Engineering Applications of Artificial Intelligence, 117, 105518. 

[4] Weizhong Wang, Xinwang Liu*, Xiaoqing Chen, Yong Qin (2019). Risk assessment based on hybrid FMEA framework by considering decision maker's psychological behavior character. Computers & Industrial Engineering, 136: 516-527.