Research interest

Numerical solution of partial differential equations: finite element methods, porous media, bio-convection.

Interdisciplinary research: data science/machine learning with applications in marketing, medical research, psychology, and transportation.

Book

S. Chen, C. Vidden and M. Vriens. From Data to Decision, a Handbook for the Modern Business Analyst. Cognella Academic Publishing

Publication
  1. S. Chen, L. Kruse, A quick assessment of general risk: Validating the Arrest Proxy , (submitted to Criminal Justice Policy Review)
  2. N. Chen, S. Chen, Where Do You Live and What Do Your Drive: Built-Environmental and Spatial Effects on Vehicle Type Choice and Vehicle Use, (submitted to In- ternational Journal of Sustainable Transportation)
  3. S. Chen, W. Mu, Suicide risk among persons living with HIV, (submitted to JAIDS)
  4. Y. Cao, S. Chen and H. van Wyk. Well-posedness and the Numerical Solution of a Time Dependent General Bio-convective Flow. Numerical Methods for Partial Differential Equations, 2019, 1-25
  5. S. Chen, J. Lei and M. Zheng, Using Machine Learning to Play the Game Super Mario Cart. The 21st International Conference on Artificial Intelligence, conference proceeding, 2019
  6. S.Chen, Z. Kong and M. Zheng, Exploring Restaurants: Text Review Versus Rating Using Yelp Dataset. Midwest Instruction and Computing Symposium, conference proceeding, 2019
  7. S. Chen, J. Schomaker and M. Vriens. The Evaluation of a Brand Association Density Metric. Journal of Product & Brand Management, 2019
  8. S. Chen, C. Vidden and M. Vriens. Mapping Brand Similarities: Consumer Online Comments Versus Survey Data. International Journal of Market Research, 2018
  9. 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
  10. 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
  11. S. Chen, Y. Liu and M. Zheng. Using Machine Learning in Sales Prediction. The Proceeding of the Midwest Instruction and Computing Symposium, 2018
  12. A. Martins-Alves, S. Chen, and M. Vriens. Brand Segmentation Using Implicit Brand Measures. Applied Marketing Analytics, Volume 3, Number 2, 172-182, 2017
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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

Grants
  • Faculty Research Grants: Applied text analytics: extracting business insight from open-ended surveys, 2018
  • Preparation for Industrial Careers in Mathematical Science, NSF,  2017  
  • Faculty Research Grants: Marketing segmentation techniques for targeting switchable consumers, 2016
  • Xcel energy fundings, 2015-2016
  • UWL Foundation Grants, 2015
  • Faculty Research Grants: Mathematical Modeling of Plain Weaving Fabric Using the Heterogeneous Multi-scale Finite Element Method, 2014