Dr. Thu Thi Le Nguyen
Tenure-Track
Department of Mathematics and Statistics
College of Natural and Mathematical Sciences
She/Her/Hers/Herself
About
I received the B.Sc. degree in Mathematics and Computer Sciences from the University of Sciences HCM VNU, Ho Chi Minh City, Vietnam, in 2008, the M.Sc. degree in Applied Mathematics from the University of Orleans, France, in 2010, the Ph.D. degree in Statistical Signal Processing from Lille1 University-Science and Technology, France, in 2014, and the PhD. degree in Applied Mathematics from Wayne State University, USA, in 2020. I have been working as a tenure-track assistant professor in the department of Mathematics and Statistics at UMBC since August 2020.
Research interests
Stochastic Approximation, Monte Carlo Methods, Bayesian Estimation/ Inference, Statistical Learning, Machine Learning, Stochastic Systems, Stochastic Processes, Stochastic Simulation, Numerical Methods, Stochastic Differential Equations, Dynamical Systems.
Teaching interests
Statistics, Statistical Learning, Machine Learning, Applied Probability and their applications in Engineering, Life Sciences, Finance and Actuarial Sciences.
Education
- MA, Statistics — Wayne State University (2020)
-
Ph D, Applied Mathematics
— Wayne State University (2020) Stochastic Approximation and Applications to Network Systems
-
Ph D, Statistical Signal Processing
— Lille 1 University-Science and Technology (2014) Sequential Monte Carlo Sampler for Bayesian Inference in Complex Systems.
-
MS, Applied Math
— University of Orleans (2010) Exchangeable Distributions and Applications
-
BS
— University of Science Ho Chi Minh City, Vietnam National University (2008) Dispersion Functions in L² Space.
Publications
- Enhanced Time Series Forecasting with Convolutional Neighborhood Similarity and Dual Attention Mechanisms.
- Segment-based join temporal and variables attention for multivariate time series forecasting.
Presentations
- A Chemostat Model with Common Noise 2020
- Switching Stochastic Approximation and Applications to Networked Systems 2020
Grants and Contracts
- Advanced Machine Learning Approaches for Enhanced GCS Prediction in Traumatic Brain Injury 2025
Research in Progress
- Bridging Multi-Agent Consensus and Online Learning with Asynchronous Stochastic Approximation 2025
- DEEP LEARNING BASED TECHNIQUES FOR TRAUMA DATA 2025
- Spatial-Temporal Modeling and Forecasting of Public Health Outcomes Using Advanced Regression Methods 2025
Courses Taught
- Statistical Learning
- Statistics Practicum
- Financial Math for Actuaries
- Top:Stat Mthd/Data Analy
- Special Topics In Stat
- Indep Study In Math
- Statistical Learning
- Statistical Learning
- Financial Math for Actuaries
- Pre Candidacy Doc Rsch
- Special Topics In Stat
- Financial Math for Actuaries
- Top:Stat Mthd/Data Analy
- Special Topics In Stat
- Financial Math for Actuaries