THÀNH T. NGUYEN

Lecturer

Department of Mathematics

Iowa State University

 

Contact address:

452 Carver Hall,

411 Morrill Road

Ames, IA 50011, USA

Tel: 515-294-8150

thanh(at)iastate.edu

 

 

 

CV                              Resume

 

 

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 titled “Infrared thermography for the detection and characterization of buried objects”, I investigated the mathematical modeling and inverse problems in the detection and identification of buried objects from infrared images.

Before that, I received Bachelor and Master degrees in Mathematics from Vietnam National University, Hanoi in 2002 and 2003, respectively, under the supervision of Professor Minh Nguyen, who is now with the Department of Mathematics & Statistics, University of Arkansas at Little Rock. 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 Low-risk 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 through-wall 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 have been with Iowa State University since Fall 2014. Here I continue my research on inverse scattering problems and teach mathematical courses. I am also collaborating 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.

 

Research Interests:

I am interested in several areas of computational and applied mathematics, including inverse problems, partial differential equations, numerical analysis, modeling and simulation, optimization, image and signal processing, and their applications in engineering sciences. My work focuses about 70% on mathematical investigations and 30% on engineering issues such as data processing, model validation and testing inverse methods for real experimental data.

 

Teaching at ISU:

Fall 2016: Math 266 (Elementary Differential Equations), Math 165 (Differential Calculus)

Spring 2016: Math 104 (Introduction to Probability), Math 151 (Calculus for Business and Social Sciences), Math 266

Fall 2015: Math 166 (Integral Calculus & Series), Math 265 (Multi-variable Calculus)

Spring 2015: Math 165, Math 385 (Partial Differential Equations)

Fall 2014: Math 165, Math 265.

 

Publications:

In most publications, my name appears as “Nguyen Trung Thanh”. Please click on the corresponding link to see my publication list on Google Scholar and MathSciNet. For the full publication list in PDF format, please click here.