Zhe Song

Dr. Song got his Ph.D. in Industrial Engineering from the University of Iowa in August 2008. After graduation, he continued his research as a postdoctoral researcher at Iowa. He joined the School of Business, Nanjing University as an Associate Professor in August 2009. His research interests inlcude Operations research, Data mining, Control theory, Computational intelligence, and their applications in business, energy and manufacturing systems modeling and optimization, e.g. Mass customization, Power plant performance optimization, Wind power management, Optimal decision making in Heating Ventilating and Air Conditioning (HVAC).

Research Area

  1. Operations Research
  2. Data Mining
  3. Computational Intelligence
  4. Statistical Simulation
  5. Wind Power Management
  6. Smart Grid Management

Teaching Courses

  1. Product Design and Development
  2. Innovation Science and Studies
  3. Systems Optimization
  4. Data Mining in Marketing, Sales and Customer Relationship Management
  5. Wind Power Management
Enter Courses>>

Contact Me

Business Administration Department

School of Business, Nanjing University

22 Hankou Road, Nanjing, China 210093

Tel: +86-25-8362-1041 Cell: +86-152-9551-4941

Email: songzhe7811@gmail.com, zsong1@nju.edu.cn

Published Books for Research

  1. 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.,

Published Papers

  1. Z. Song and A. Kusiak, 2010, Multiobjective Optimization of Temporal Processes, IEEE Trans. Systems, Man, and Cybernetics, Part B, Vol.40, No.3, pp.845-856. SCI, Impact Factor 2.361 (2008).
  2. A. Kusiak, W. Li and Z. Song, 2010, Dynamic Control of Wind Turbines, Renewable Energy, Vol.35, No.2, pp.456-463 SCI, Impact Factor 1.663 (2008).
  3. 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, Impact Factor 1.627 (2008).
  4. 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, Impact Factor 1.663 (2008).
  5. 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, Impact Factor 1.663 (2008).
  6. A. Kusiak and Z. Song, 2009, Sensor Fault Detection in Power Plants, ASCE Journal of Energy Engineering, Vol.135, No.4, pp.127-137 SCI, Impact Factor 0.5 (2008).
  7. 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, Impact Factor 3.736 (2008).
  8. 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, Impact Factor 2.617 (2008).
  9. 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, Impact Factor 2.617 (2008).
  10. A. Kusiak, H. Zheng and Z. Song, 2009, Models for Monitoring Wind Farm Power, Renewable Energy, Vol. 34, No. 3, pp. 583-590. SCI, Impact Factor 1.663 (2008).
  11. A. Kusiak, H. Zheng and Z. Song, 2009, On-Line Monitoring of Power Curves, Renewable Energy, Vol. 34, No. 6, pp. 1487-1493. SCI, Impact Factor 1.663 (2008).
  12. 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, Impact Factor 1.271 (2008).
  13. 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, Impact Factor 0.774 (2008).
  14. 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, Impact Factor 2.617 (2008).
  15. 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, Impact Factor 2.356 (2008).
  16. 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, Impact Factor 1.375 (2008).
  17. 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, Impact Factor 2.356 (2008).

Navigation