个人简介
南京大学商学院教授，美国爱荷华大学（University of Iowa）工业工程博士、博士后。国际知名期刊IEEE Transactions on Sustainable Energy （国际电子电气工程师协会会刊《可持续能源》，影响因子7.65，自引率7.6%）副主编；Journal of Intelligent Manufacturing（《智能制造》杂志，影响因子6.485）副主编。IEEE Power Engineering Society Letters, Industrial Engineering & Management编委成员。在美国留学期间参与多个被美国知名公司和机构资助的制造, 能源, 医疗等行业的系统, 决策优化项目, 这些公司和机构包括：Iowa Energy Center, John Deere, MidAmerican Energy, IAWIND, UIHC。在大数据分析建模和管理决策优化方向已经发表高影响因子国际期刊论文30多篇（均被SCI、EI索引，被引用2700多次；ESI近10年高被引论文一篇）, 获中国美国发明专利13项。
教学方向
1. 大数据分析与管理决策优化
2. 创新与创业管理
教学奖励
宋哲, 2020.9, 南京大学魅力导师奖, 南京大学
宋哲, 2016.9, 南京大学杜厦奖教金, 南京大学
徐小林，宋哲, 2016, Operations Management, 江苏省英文精品课程建设项目
宋哲(指导教师)，2017年10月，首届工业大数据创新竞赛，二等奖（排名2/1460）,工业和信息化部
宋哲(指导教师)，2019年9月，第三届工业大数据创新竞赛，三等奖（排名4/1599）,工业和信息化部
科研奖励
Kusiak Andrew,宋哲, 2016.8, 基本科学指标数据库ESI 高被引论文, Web of Science
宋哲, 2016, 国家自然科学基金项目（#71001050）结题被评估为“优秀”, 国家自然科学基金委员会
宋哲, 2010.12, 科研新星奖, 南京大学商学院
科研项目
宋哲(PI), 2011-1 to 2013-12, 风电预测，并网调度与规划的决策优化模型, 国家自然科学基金, 编号:71001050, 17.7万元
出版专著
A. Kusiak, Zhe Song, November 5, 2013, DATA-DRIVEN APPROACH TO MODELING SENSORS WHEREIN OPTIMAL TIME DELAYS ARE DETERMINED FOR A FIRST SET OF PREDICTORS AND STORED AS A SECOND SET OF PREDICTORS, United States Patent Office Serial No. US 8,577,822 B2
A. Kusiak and Z. Song, 2009, Optimization in the Energy Industry: Improving Combustion Performance by Online Learning, P. Pardalos eds., Springer, ISBN: 978-3-540-88964-9.
出版教材
1.Jeffrey Camm et al.;耿修林，宋哲 译, 2017年3月, 商业数据分析（Essentials of Business Analytics）, 机械工业出版社 数据科学、商务数量解析、商务智能系列教材
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. G. Liang, Y. Su, F. Chen, H. Long, Z. Song and Y. Gan,2021, Wind Power Curve Data Cleaning by Image Thresholding Based on Class Uncertainty and Shape Dissimilarity, IEEE Transactions on Sustainable Energy, Early Access, SCI一区.
2. 蔡霞，宋哲等, 2020, 稠密网络中的竞争创新扩散机制研究-以双寡头同时竞争扩散市场为例, 科学学与科学技术管理, CSSCI，国家自然科学基金委管理科学部重要期刊
3. X. Liu, Z. Zhang and Z. Song,2020, A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning, Renewable and Sustainable Energy Reviews, Vol. 119, 109632. SCI 一区, IF 12
4. 蔡霞，宋哲等, 2019, 动态稠密人际网络中的创新扩散研究—基于多智能体仿真的分析, 《科技进步与对策》, CSSCI
5. 蔡霞，宋哲等, 2019, 社会网络结构和采纳者创新性对创新扩散的影响—以小世界网络为例, 《软科学》, CSSCI
6. J. Zhu, Y. Shen, Z. Song, D. Zhou, Z. Zhang, and A. Kusiak, Data-Driven Building Load Profiling and Energy Management, Sustainable Cities and Society, Vol. 49, 2019, pp. 1-15.
7. Z. Song, Z. Zhang, Y. Jiang and J. Zhu,2018, Wind turbine health state monitoring based on a Bayesian data-driven approach, Renewable Energy, Vol. 125, pp.172-181.
8. Y. Jiang, H. Long, Z. Zhang and Zhe Song,2017, Day-ahead Prediction of Bi-hourly Solar Radiance with a Markov Switch Approach, IEEE Transactions on Sustainable Energy, Vol. 8, No. 4, pp.1536-1547, SCI一区.
9. L. Huan, Z. Zhang, Zhe Song, A. Kusiak,2017, Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts, IEEE Access, SCI, Vol. 5, pp.1810-1819
10. 蔡霞，宋哲等, 2016, 社会网络环境下的创新扩散研究述评与展望, 科学学与科学技术管理, CSSCI，国家自然科学基金委管理科学部重要期刊
11. 蔡霞，宋哲等, 2017, 先发企业的崛起和后进企业的逆袭, 南开管理评论, CSSCI，国家自然科学基金委管理科学A类重要期刊（在管理学学科类目期刊中荣获复合类、期刊综合类和人文社科影响因子三项指标第一，影响力指数第二）
12. Zhang Z. and Song Zhe, 2016, Mining SCADA Data Offers a New Roadmap of Wind Farm Operations and Management, Industrial Engineering & Management, Vol.5, No.2 邀请稿（社评）
13. Zhe Song, Z. Zhang and X. Chen,2016, The decision model of 3-dimensional wind farm layout design, Renewable Energy, Vol.85 SCI，二区
14. 蔡霞，宋哲等, 2016, 基于自我保护动机的内隐建言信念对员工沉默的影响-一项中国情景的研究, 科学学与科学技术管理, CSSCI, 国家自然科学基金委管理科学部重要期刊
15. Z. Zhang, Zhe Song and J. Xu,2015, Data-Driven Wind Turbine Power Generation Performance Monitoring, IEEE Transactions on Industrial Electronics, Vol. 62, No. 10 SCI, 一区, Impact factor, 6.498
16. Z Song, Z. Zhang, X.L. Xu, C. Liu, 2015, An agent-based model to study the market dynamics of perpetual and subscription licensing, Journal of the Operational Research Society, 66:845-857SSCI/SCI, 三区
17. Z Song, Y Jiang, Z Zhang, 2014,Short-termwind speed forecasting with Markov-switching model, Applied Energy, 130SCI, 一区
18. Yu Jiang, Zhe Song, Andrew Kusiak, 2013,Very short-term wind speed forecasting with Bayesian structural break model, Renewable Energy, Vol. 50, Pp. 637-647 SCI，二区
19. Z. Zhang, Andrew Kusiak, Zhe Song, 2013,Scheduling electric power production at a wind farm, European Journal of Operational Research, Vol.224, pp. 227-238 SCI，二区
20. C. Xu, Z. Song, L.D. Chen and Y. Zheng,2011, Numerical investigation on porous media heat transfer in a solar tower receiver, Renewable Energy, Vol. 36, No. 3, pp. Vol. 36, No. 3, pp.1138-1144 SCI，二区
21. Z. Song, X. Geng, A. Kusiak, and C. Xu,2011, Mining Markov Chain Transition Matrix from Wind Speed Time Series Data, Expert Systems with Applications, Vol. 38, No. 8, pp. Vol. 38, No.8, pp. 10229-10239 SCI, 二区
22. A. Kusiak, W. Li and Z. Song,2010, Dynamic Control of Wind Turbines, Renewable Energy, Vol.35, No.2, pp.456-463 SCI, 二区
23. Z. Song and A. Kusiak, 2010, Mining Pareto-Optimal Modules for Delayed Differentiation, European Journal of Operational Research, Vol.201, No. 1, pp.123-128. SCI, 二区
24. Z. Song and A. Kusiak, 2010, Multi-objective Optimization of Temporal Processes, IEEE Trans. Systems, Man, and Cybernetics, Part B, Vol.40, No.3, pp.845-856. SCI, 一区
25. A. Kusiak and Z. Song,2010, Design of Wind Farm Layout for Maximum Wind Energy Capture, Renewable Energy, Vol.35, No. 3, pp. 685-694. SCI, 二区
26. A. Kusiak, H. Zheng and Z. Song,2010, Power optimization of wind turbines with data mining and evolutionary computation, Renewable Energy, Vol. 35, No. 3, pp. 695-702. SCI, 二区
27. 程德俊，宋哲，王蓓蓓, 2010, 认知信任还是情感信任：高参与工作系统对组织创新绩效的影响, 《经济管理》,11期，pp81-90
28. Z. Song and A. Kusiak, 2009, Optimizing Product Configurations with a Data Mining Approach, International Journal of Production Research, Vol. 47, No. 7, pp. 1733-1751. SCI, 三区
29. A. Kusiak, H. Zheng and Z. Song, 2009, Wind Farm Power Prediction: A Data-Mining Approach, Wind Energy, Vol. 12, No.3, pp. 275-293 SCI, 二区
30. A. Kusiak, H. Zheng and Z. Song, 2009, On-Line Monitoring of Power Curves, Renewable Energy, Vol. 34, No. 6, pp.1487-1493. SCI, 二区
31. A. Kusiak, H. Zheng and Z. Song, 2009, Models for Monitoring Wind Farm Power, Renewable Energy, Vol. 34, No. 3, pp.583-590. SCI, 二区
32. A. Kusiak, H. Zheng and Z. Song, 2009, Short-Term Prediction of Wind Farm Power: A Data Mining Approach, IEEE Transactions on Energy Conversion, Vol. 24, No. 1, pp. 125-136. SCI, 二区
33. A. Kusiak and Z. Song, 2009, Sensor Fault Detection in Power Plants, ASCE Journal of Energy Engineering, Vol.135, No.4,pp.127-137SCI, 三区
34. A. Kusiak, Z. Song and H. Zheng, 2009, Anticipatory Control of Wind Turbines with Data-Driven Predictive Models, IEEE Transactions on Energy Conversion, Vol. 24, No. 3, pp. 766-774. SCI, 二区
35. Z. Song and A. Kusiak, 2009, Optimization of Temporal Processes: A Model Predictive Control Approach, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 1, pp. 169-179. SCI, 一区
36. A. Kusiak and Z. Song, 2008, Clustering-Based Performance Optimization of Boiler-Turbine System, IEEE Transactions on Energy Conversion, Vol.23, No. 2, pp. 651-658 SCI, 二区
37. A. Kusiak, M.R. Smith and Z. Song, 2007, Planning Product Configurations Based on Sales Data, IEEE Transactions on Systems, Man and Cybernetics, Part C, Vol. 37, No. 4, pp. 602-609. SCI, 二区
38. Z. Song and A. Kusiak, 2007, Constraint-Based Control of Boiler Efficiency: A Data-Mining Approach, IEEE Transactions on Industrial Informatics, Vol. 3, No. 1, pp. 73-83.SCI, 一区
39. A. Kusiak and Z. Song, 2006, Combustion Efficiency Optimization and Virtual Testing: A Data-Mining Approach, IEEE Transactions on Industrial Informatics, Vol. 2, No. 3, pp. 176-184. SCI, 一区
京公网安备 11010802027423号