Thanh Trung Nguyen, Ph.D.

Current
position & contact address: Associate Professor
of Applied Mathematics Department of
Mathematics Rowan
University 201 Mullica Hill
Road, Glassboro, NJ 08028, USA Tel: 8562564500,
extension 53858 nguyent(at)rowan.edu 
Links: 
My publications on Google
Scholar 
My publications on MathSciNet
(In most publications, my name is written as Nguyen
Trung Thanh) 
Research Interests:
My main mathematical research interest is in the field of inverse
problems. A description and applications of inverse problems can be found on Wikipedia
here https://en.wikipedia.org/wiki/Inverse_problem.
Beside inverse problems, 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 for real experimental data.
I am particularly interested in realworld applications.
Examples of realworld problems I have been working on are:

Subsurface detection and imaging using infrared
thermography, ground penetrating radar, or electromagnetic induction (eddy
current)

Throughwall imaging using radar

Water quality modeling and detection of
pollution sources

Smart farming using artificial intelligence and
autonomous drones.
Education:
I received a Ph.D. in Engineering Sciences from the Vrije
Universiteit Brussel (VUB) in 2007 under the supervision of Professor Hichem Sahli
and Professor Dinh Nho Hao.
In my PhD
dissertation entitled Infrared thermography for the detection and
characterization of buried objects, I investigated the mathematical
modeling and inverse problems arising in the problem of detection and
identification of buried objects from infrared images.
Before that, I received my BS and MS in Mathematics from
Vietnam National University, Hanoi in 2002 and 2003, respectively, under the
supervision of Professor Minh
Nguyen. My BS and MS theses were on differential equations. My
first research paper published in the Journal of Mathematical Analysis and
Applications was written during this time.
Work History:
During my Ph.D. study at VUB, I worked as a Research
Assistant for the grant Concept for Lowrisk
Efficient Area Reduction Based on the Fusion of Advanced Sensor Technologies
funded by the European Commission.
After obtaining the Ph.D. degree, I worked as a
Postdoctoral Research Associate in the Department of Electronics &
Informatics at the VUB from 9/2007 to 9/2008, where I led a research group
working on radar signal processing and imaging methods for throughwall
detection and tracking. This position was supported by the European Commission
under the grant Ultra wide band radio
application for localization of hidden people and detection of unauthorized
objects.
From 11/2008  4/2012, I joined the Inverse Problem group
at Johann Radon Institute for Computational and Applied Mathematics of Austrian
Academy of Sciences as a Research Scientist. There, I worked on theoretical and
numerical aspects of inverse scattering theory. My collaborative works with
Mourad Sini were partly funded by a grant from Austrian Science Foundation.
I moved to the Department of Mathematics & Statistics
at the University of North Carolina at Charlotte in May 2012 and worked for a
US Army Research Office grant on globally convergent numerical methods for the
wave equation with applications in the detection of explosives. The grant was
led by Michael Klibanov from the Math Department and Michael Fiddy from Physics
Department.
I was with the Department of Mathematics, Iowa State
University from 2014 till 2017. There, I continued my research on inverse scattering
problems and teach mathematical courses. I also collaborated with Paul Sacks
from the Math Department and John Bowler from the Nondestructive Testing Center
on an inverse problem in nondestructive testing of metal materials using
alternating current potential drop measurements.
I moved to Rowan University in 2017, where I am enjoying
teaching and continuing my research.
Grants:
1.
(PI)
LEAPSMPS: Splitting allatonce approach to inverse medium scattering
problems, funded by the NSF, Sep 2023  Aug 2025 (supported amount: $212,933).
2.
(CoPI,
PI: Cheng Zhu) Development of the Beta Version of iFROST MAPPER, funded by the
Cold Regions Research & Engineering Lab, US. Army Corps of Engineers, May 2023
 April 2025, (one of 9 projects in a total support of $30 million).
3.
(CoPI,
PI: Hieu Nguyen) Mitigating Blueberry Scorch Virus using Artificial
Intelligence and Autonomous Drones, funded by the NJ Department of Agriculture
Specialty Crop Block Grant Program, Oct 2022  Sep 2024, (supported amount:
$39,316).
4.
(PI)
CURM Minigrant Proposal, supported by the NSF through the Center for
Undergraduate Research in Mathematics, September 2022  May 2023 (supported
amount: $18,900).
5.
(Senior
Member): Forecasting Air and Water Pollution in Vietnam with Real Data by
Machine Learning and Inverse Problem Approaches. Supported by Innovation
Foundation of Vingroup Big Data Institute (Vietnam), Nov 2020  Oct 2024
(supported amount: $300,000).
6.
(Cohost)
PIC Math (Preparation for Industrial Careers in Mathematical Sciences), MAA
& SIAM program funded by NSF and NSA, 2019  2020
(supported amount: $1000).
7.
(Cohost)
PIC Math (Preparation for Industrial Careers in Mathematical Sciences), MAA
& SIAM program funded by NSF and NSA, 2018  2019 (supported amount: $6000).