Through academic excellence, we provide the theoretical foundation for critical thinking in quantitative problem solving and reasoning. We help students to develop their ability to effectively communicate mathematics, and prepare them for success in a career in actuarial mathematics, applied mathematics, applied statistics, or other profession.


Department Faculty

Adjunct Professors

  • Patricia Capuano
  • David Deacon
  • Gerard Ethier
  • JoAnn Lovett
  • Bradford Monroe
  • Eric Simonian
  • Denise Trudeau
  • William Velle
  • Suzanne Walker
Nguyen, Son

Son Nguyen

Assistant Professor, Mathematics
Faculty Suite A, Room 8
Ph D, Ohio University
MS, Ohio University
BS, Military Technical Academy

Applied Data Mining, Statistical Analysis with R, Applied Mathematics and Statistics Capstone Projects.

Imbalanced Classification, Statistical Learning, Sufficient Dimension Reduction.

  • American Statistical Association
  • 2018, Merit Award 2018
  • 2018, Best Poster Award

Nguyen, S., Kennedy, K., Zywiak, W., Positive Findings Regarding a New Trend in University Architecture Evaluating Student Impressions of an Innovative Academic Building, Archives of Business Research, 2018.

Nguyen, S., Golas, E., Zywiak, W. H., Kennedy, K., Dimension reduction in Bankruptcy Prediction: A case study of North American Companies, Emerald Group Publishing.

Nguyen, S., Lamere, A. T., Olinsky, A., Quinn, J., The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay: A Case Study of Rhode Island Hospitals, International Journal of Rough Sets and Data Analysis (IJRSDA)/IGI Publishing.

Nguyen, S., Niu, G., Quinn, J., Olinsky, A., Ormsbee, J., Smith, R., Bishop, J., Detecting non-injured passengers and drivers in car accident: A new under-resampling method for imbalanced classification, Emerald Group Publishing.

Nguyen, S., Quinn, J., Olinsky, A., Schumacher, P., Effects of resampling techniques on imbalanced data classification: A new under-resampling method, International Journal of Data Analysis Techniques and Strategies / Inderscience Publishers.

Orsi, M., Nguyen, S., Kennedy, K., Improving MLB Pitch Classification by Random Forest, Franklin Publishing Business & Law: Critical Thinking Series .

Nguyen, S., Olinsky, A., Quinn, J., Schumacher, P., Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R, International Journal of Fog Computing (IJFC)/IGI Publishing, 2018.

Nguyen, S., Quinn, J., Olinsky, A., An oversampling technique for classifying imbalanced datasets, Emerald Group Publishing Limited, 2018.