Bing-Chuan Wang

Bing-Chuan Wang

Associate Professor in School of Automation, Central South University

Biography

I am currently an associate professor in School of Automation, Central South University. I am also with the IntLeO Group led by Prof. Yong Wang. I recieved my Bachelor degree and Master degree both in School of Automation, Central South University and the Ph.D. degree in Department of Systems Engineering and Engineering Management, City University of Hong Kong under the supervision of Prof. Han-Xiong Li.

Research Interests

My research interests include data-driven modeling and optimization with applications to lithium-ion batteries. Specifically, I am interested in:

  • Evolutionary computation for constrained optimization, constrained multiobjective optimization, and constrained expensive optimization.
  • Data-driven methods (e.g. Gaussian process, RBFNN, deep learning) for modeling of distributed parameter systems.
  • Modeling and optimization for battery management using the above methods

Selected Publications

  1. Y. Wang, B. C. Wang, H. Li and G. G. Yen, “Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization,” IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 2938-2952, Dec. 2016. (1% highly cited)
  2. Y. Wang, J. P. Li, X. Xue and B. C. Wang*, “Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 1, pp. 29-43, Feb. 2020.
  3. B. C. Wang, H. X. Li, J. P. Li and Y. Wang, “Composite Differential Evolution for Constrained Evolutionary Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 7, pp. 1482-1495, July 2019.
  4. B. C. Wang, H. X. Li, Q. Zhang and Y. Wang, “Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 1, pp. 574-587, Jan. 2021. (1% highly cited)
  5. B. C. Wang, H. X. Li and H. D. Yang, “Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process,” IEEE Transactions on Industrial Electronics, vol. 67, no. 4, pp. 2885-2893, April 2020.
  6. B. C. Wang and H. X. Li, “A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions,” IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2044-2053, April 2019.
  7. Y. Feng and B. C. Wang*, “A Unified Framework of Epidemic Spreading Prediction by Empirical Mode Decomposition- Based Ensemble Learning Techniques,” IEEE Transactions on Computational Social Systems, vol. 6, no. 4, pp. 660-669, Aug. 2019.
  8. Y. Zhou, B. C. Wang*, and H. X. Li, “A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of The Battery Model,” IEEE Transactions on Industrial Informatics, in press, doi: 10.1109/TII.2020.3038949.
  9. Y. Wang, S.H. He, B. C. Wang*, “Evolutionary Sensor Placement for Spatiotemporal Modeling of Battery Thermal Process,” IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp. 2223-2232, April 2022.
  10. Z.Y. Shui, X.H. Li, Y. Feng, B. C. Wang*, Y. Wang “Combining Reduced-Order Model with Data-Driven Model for Parameter Estimation of Lithium-Ion Battery,” IEEE Transactions on Industrial Electronics, in press.

Collaborators