I'm interested in Statistics and its application. My current project is about estimating parameters in an inverse Partial Differential Equation using snapshot data from stochastic processes. The computation involves Numerical method and Physics-Informed Neural Network (PINN), where the comparison between two approaches will be built.
I'm also keen on using statistical tools to analyze data in other areas, such as economics, tourism, education, biology, healthcare...
Publications
Q.H Truong, A.T. Nguyen, Q.A. Trinh, T.N.L Trinh, L. Hens, Hierarchical Variance Analysis: A Quantitative Approach for Relevant Factor Exploration and Confirmation of Perceived Tourism Impacts, International Journal of Environmental Research and Public Health, 17 Apr 2020, https://doi.org/10.3390/ijerph17082786.
Vinh, L. A., Hanh, H. P., Quynh, B. D., Ngoc Lan, T. T., Dien, B. T., Lan, D. D., & Viet Thai, L. (2022). In teaching youths to learn critically: the role of family, formal and non-formal education – findings from a middle-income context. Asia Pacific Journal of Education, 1–16. https://doi.org/10.1080/02188791.2022.2106942.
Projects
Estimating degradation rate in Inverse PDE: Comparison between Numerical method and Physics-Informed Neural Network (on process).
Analyzing the Influence of Virtual Care Management on Patient Health Outcomes and Risk Stratifying Chronic Kidney Disease Patients for Stage Degeneration (MPI 2024 at Vermont University).
Contact Information
Mathematics Department
415 Gibson Hall
Tulane University
New Orleans, LA, 70118
ttrinh1@tulane.edu