Son Nguyen

Son Nguyen

Dr. Nguyen earned his master’s degree in applied mathematics and doctoral degree in mathematics, statistics emphasis, both at Ohio University. He is currently the coordinator of the Applied Mathematics and Statistics program at Bryant University. Since 2018, Dr. Nguyen and his students have presented 19 paper/poster presentations at academic conferences and have won multiple presentations awards including the best poster presentations (4th and 5pth place at the NEDSI Conference) and 1st place undergraduate research (at the Analytics Without Border Conference). Dr. Nguyen is a recipient of the Emerald Literati Awards for the Outstanding Author Contribution (2020). Dr. Nguyen’s primary research interests lie in statistical machine learning and imbalanced classification.

Ph D, Ohio University

MS, Ohio University

BS, Military Technical Academy

Zywiak, W. H.,Nguyen, S., Matching clients to alcohol treatments using 16 client characteristics simultaneously: A cluster analytic approach with research and clinical implications. , Psychology, 2022.

Lamere, A. T.,Nguyen, S.,Niu, G.,Olinsky, A.,Quinn, J., Predicting the length of stay in hospital emergency rooms in Rhode Island, Emerald Publishing Limited.

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.,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.

Nguyen, S.,Schumacher, P.,Olinsky, A.,Quinn, J., Effects of resampling techniques on imbalanced data classification: A new under-resampling method , Emerald Publishing Limited.

Steeves, M.,Nguyen, S.,Quinn, J.,Olinsky, A., The Predictive Power of Investor Sentiment on U.S. Equity Market Performance, Emerald Publishing Limited.

Nguyen, S.,Quinn, M. J.,Olinsky, A.,Quinn, J., Comparing Deep Neural Networks and Gradient Boosting for Pneumonia Detection Using Chest X-Rays, IGI Global, 2022.

Bonas, M.,Nguyen, S.,Olinsky, A.,Quinn, J.,Schumacher, P., A Method to Determine the Size of the Resampled Data in Imbalanced Classification, Information Age Publishing, 2020.

Nguyen, S.,Golas, E.,Zywiak, W. H.,Kennedy, K.,, ., Dimension reduction in Bankruptcy Prediction: A case study of North American Companies, Emerald Group Publishing, 2019.

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, 2019.

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.

Merit Award, 2021

Emerald Literati Awards, 2020

NEDSI Best Poster Award, 5th place, 2019

Merit Award, 2018

NEDSI Best Poster Award, 4th place, 2018

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

Imbalanced Classification, Statistical Learning, Sufficient Dimension Reduction.

American Statistical Association