Biography

Website: http://users.rowan.edu/~nguyent/

Education:

BS & MS (Mathematics) Vietnam National University, Hanoi

PhD (Engineering Mathematics) Vrije Universiteit Brussel, Belgium

Post-doctoral: Austrian Academy of Sciences, UNC Charlotte, Iowa State University

Research Expertise: Inverse Problems & Optimization | Modeling & Simulation | Numerical Analysis

My main mathematical research interest is in the field of inverse problems. In addition, I am also interested in several other areas of computational and applied mathematics, including partial differential equations, optimization, numerical analysis, modeling & simulation, and machine learning. My research includes mathematical and computational investigations, as well as engineering issues such as data processing, model validation and testing inverse methods against real experimental data.

I am particularly interested in real-world applications. Examples of real-world problems I have been working on are:

• Subsurface detection and imaging using infrared thermography, ground penetrating radar, or electromagnetic induction (eddy current)
• Through-wall imaging using radar
• Water quality modeling and detection of pollution sources
• Smart farming using artificial intelligence and autonomous drones.

I am working on the following projects:

• Splitting all-at-once methods for inverse scattering problems (funded by NSF)
• Subsurface imaging using electromagnetic induction (funded by US Army Corps of Engineers)
• Using artificial intelligence and drones for smart farming (blueberry detection & counting, blueberry scorch disease detection and mapping, detection of Carolina redroot in cranberry beds) (funded by NJDA Specialty Crop Block Program & NJ Pathways)

Member of:        Society for Industrial and Applied Mathematics (SIAM, http://www.siam.org/)

Selected Recent Publications:

D. N. Hao, N. T. Thanh, N. V. Duc and N. V. Thang (2023). “A coefficient identification problem for a system of advection-reaction equations in water quality modeling”. Computers & Mathematics with Applications, 148, page 126—150

N. T. Thanh (2023). “Using alternating minimization and convexified Carleman weighted objective functional for a time-domain inverse scattering problem”. Axioms, 12(7), 642

N. V. Duc, N. V. Thang and N. T. Thanh (2023) “The quasi-reversibility method for an inverse source problem for time-space fractional parabolic equations”. Journal of Differential Equations, 344, pp 102-130.

N.T. Thanh (2022) “Convexity of a discrete Carleman weighted objective functional in an inverse medium scattering problem”. Journal of Inverse and Ill-posed Problems, 30(4), 485–493.

N. V. Thang, N. V. Duc, L. D. N. Minh and N. T. Thanh (2021), “Identifying an unknown source term in a time-space fractional parabolic equation”. Applied Numerical Mathematics, 166, 313-332.

J. Bowler, N.T. Thanh and P. Sacks (2021), “Evaluation of the electrical conductivity and magnetic permeability variations with depth from surface voltage measurements”, Inverse Probl. Sci. Eng., 29:6, 831-860. Published online: Aug 31, 2020.

Spring 2024  - Class Schedule
21737 - MATH 01231-1      ORDINARY DIFFER EQUAT      TR 12:30-1:45      Robinson 324
21748 - MATH 01332-1      NUMERICAL ANALYSIS      TR 11:00-12:15      Science 126
21753 - MATH 01386-1      INTRO PARTL DIFFTL EQTNS      TR 3:30-4:45      Robinson 212
21821 - MATH 03411-1      DETERMINISTIC MODS OPER RES      MW 5:00-6:15      James 3117
24802 - MATH 03511-1      OPERATIONS RESEARCH I      MW 5:00-6:15      James 3117
24804 - MATH 03612-2      MASTER THESIS      

Spring 2024 - Office Hours
TR 9:45-10:45, W 11:00-12:00 by appointment at nguyent@rowan.edu