Profile for Song Chen

Song Chen profile photo

Specialty area(s)

Data science and its application in marketing

  • Application of deep learning
  • Clustering analysis
  • Text Analytics
  • Switchable consumer
  • Conjoint analysis
  • Network analysis and MDS (Multi-dimensional Scaling)
  • Forecasting and time series 
  • Optimization and scheduling

Numerical analysis:

  • Numerical solution of partial differential equations
  • Porous medium
  • Fluid dynamics (Navier Stokes Equation)

Education

Ph. D in applied mathematics, Auburn University, AL, 2013, Advisor: Yanzhao Cao, A. J. Meir

B. S. Peking University, Beijing China, 2007

Professional history

 

 

Research and publishing

  1. S. Chen, J. Schomaker and M. Vriens. The evaluation of a brand association density metric. Journal of Product & Brand Management, 2018
  2. S. Chen, C. Vidden and M. Vriens. Mapping brand similarities: consumer online comments versus survey data. International Journal of Market Research, 2018
  3. Y. Cao and S. Chen. Well-posedness and the numerical solution of a time dependent general bio-convective flow. (submitted)
  4. S. Chen, Y. Liu and M. Zheng. A Web Based Application for Sales Prediction. The 16th International Conference on Software Engineering Research & Practice, Las Vegas, USA, 2018
  5. S. Chen, Nicole Nelson, C. Vidden and M. Vriens. Topic modeling for open-ended survey responses. Applied Marketing Analytics, Vol. 4, No. 1, pp. 1-10, 2018
  6. Y. Liu, S. Chen and M. Zheng. Using Machine Learning in Sales Prediction. The Proceeding of the Midwest Instruction and Computing Symposium, 2018
  7. A. Martins-Alves, S. Chen, and M. Vriens. Brand segmentation using implicit brand measures. Applied Marketing Analytics, Volume 3, Number 2, 172-182, 2017
  8. S. Chen, C. Vidden and M. Vriens. Assessing the impact of a brand crisis using big data: The case of the VW Diesel emission Crisis. 2017 DMA Analytics Journal, Section 2: Strategic Practitioners, 2017
  9. S. Chen, C. Vidden and M. Vriens. Comparing clustering methods for market segmentation: A simulation study. Applied Marketing Analytics, Volume 2, Number 3, 225-238, 2016
  10. S. Chen, C. Vidden and M. Vriens. On finding the best segmentation solution: the superior performance of latent class and latent class ensemble methods in recovering the true number and nature of segments, Sawtooth Software Conference, 2016
  11. Y. Cao, S. Chen and L. Rebholz. Well-posedness and a numerical study of a regularization model with adaptive nonlinear filtering for incompressible flow simulation. Computers and Mathematics with Applications, V71, issue 11, 2192-2205, 2016
  12. Y. Cao, S. Chen, and A.J. Meir. Quasi-linear poro-elasticity: analysis and hybrid finite element approximation. Numerical Method of Partial Differential Equations, V31, issue 4, 1174-1189, 2015
  13. Y. Cao and S. Chen. Analysis and finite element approximation of bio-convection flows with concentration dependent viscosity. International Journal of Numerical Analysis and Modeling. 11, no. 1, 86-101, 2014
  14. Y. Cao, S. Chen, and A.J. Meir. Steady flow in a deformable porous medium. Mathematical Methods in the Applied Sciences, V 37, Issue 7, 1029-1041, 2014
  15. Y. Cao, S. Chen, and A.J. Meir. Analysis and numerical approximations of equations of nonlinear poro-elasticity. Discrete and Continuous Dynamical Systems - Series B, 1253-1273, 2013