Pham Tuan Minh, PhD.
College of Business and Management
Faculty, Bachelor of Business Administration
Biography
Dr. Minh Pham received his Ph.D. in Operations Research from Rutgers University in 2013, followed Postdoctoral Fellowships in Electrical Engineering and Statistics at Duke University and University of Virginia. After that he was an Assistant Professor in Mathematics and Statistics at Rochester Institute of Technology. He then became an Assistant Professor in Decision Sciences at San Francisco State University. Dr. Pham’s expertise is scientific computing methods for large scale data analysis problems. He is also interested in the applications of data mining and machine learning in medical research such as neuro-imaging and infectious diseases.
Optimization, Machine Learning, Medical Research, Neuroimaging
M. Pham, T. Zhang, (2018): A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison (NeuroImage).
X. Lin, M. Pham, A. Ruszczynski, (2014): Alternating Linearization for Structured Regularization Problems (Journal of Machine Learning Research).
Ph.D. in Operations Research – Rutgersl University
B.A. in Mathematics – Bucknell University
International Conference on Data Science in Business, Finance, and Industry 2019
M. Pham, An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems
Best Paper Award
INFORMS Data Mining and Data Analytics Workshop 2018
M. Pham, Spatial Temporal Analysis of Multi-Subject fMRI Data
Paper competition: First Prize
