CV Teaching Statement
Isaac Harris, Ph.D.
Texas A&M University 3368 TAMU College Station, TX 77843-3368
Department of Mathematics
Office: Blocker 621A
E-mail: iharris [AT] tamu.edu -or- iharris [AT] math.tamu.edu
I graduated from The University of Delaware with a Ph.D. in Applied Mathematics under the advisement of
in August 2015. I am currently at Texas A&M University where I am a Visiting Assistant Professor
continuing my research in Inverse Problems and Scattering Theory with my mentor
Bill Rundell. Here are links to my CV and
Google Scholar page.
- Referee, for Communications in Mathematical Sciences as of August 2017
- Referee, for Inverse Problems as of August 2017
- Referee, for Journal of Computers and Mathematics with Applications as of June 2017
- Referee, for SIAM Journal on Imaging Science as of November 2016
- Referee, for Journal of Computational and Applied Mathematics as of July 2016
- Referee, for SIAM Journal on Mathematical Analysis as of January 2016
- Invited to the Theory and Numerics of Inverse Scattering Problems Workshop at Oberwolfach in Sept 2016 as a United States Junior Oberwolfach Fellow (slides)
- Invited Talk at the Post-Doc Seminar, IMA Minneapolis MN, December 2016
- Invited Mini-Symposium Spreaker at the SIAM CSE Conference in Atlanta GA, Febuary/March 2017
I have recieved the NSF-SIAM Early Career Travel Award to attend the meeting (slides)
- Talk at the Texas DE Conference at TAMU, March 2017
- Invited Spreaker at the University of Houston's PDE Seminar, April 7th 2017
- Invited Mini-Symposium Spreaker at Applied Inverse Problems, Hangzhou China, May/June 2017
- Invited Mini-Symposium Spreaker at the SIAM Annual Meeting, Pittsburgh PA, July 2017
- Invited AMS Special Section Spreaker at the Joint Math Meeting, San Diego CA, January 2018
- I am giving a talk in the PDE Seminar at the University of Houston - Math Dept. (slides)
- I am giving a Special Colloquium talk at Purdue University - Math Dept. (slides)
My research interests are in direct and inverse problems for PDEs,
especially those arising in acoustic and electromagnetic scattering.
I have been working on the inverse scattering problem of non-destructive
testing for defects in complex media and parameter identification for
periodic media. My research employs techniques from a multitude of areas in
mathematical analysis, such as: Functional analysis, Analysis of PDEs,
Numerical and Asymptotic methods.
This figure is the cover image for Inverse Problems Volume 31 Number 2.
Reconstructions of circular cavities in an Anisotropic material via the factorization method.
EIT Reconstruction of an inclusion and the impedance function via the linear sampling method.
- Direct and Inverse Scattering
- Transmission Eigenvalue Problems
- Inverse Problems for (Fractional) Diffusion
- Qualitative Reconstruction Methods
- Electrical Impedance Tomography
- Inverse Spectral Problems
- Homogenization and Asymptotic Analysis
Research Papers in Refereed Journals:
- F. Cakoni, I. Harris and S. Moskow " The Imaging of Small Perturbations in an Anisotropic Media". Computers and Mathematics with Applications Volume 74, Issue 11, 2017 2769-2783 (arXiv:1702.06058)
- L. Hoeltgen, I. Harris, A. Kleefeld and M. Breuss "Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian" Scale Space and Variational Methods in Computer Vision (2017), 66-79. Lecture Notes in Computer Science Volume. 10302 Springer
- I. Harris and S. Rome "Near field imaging of small isotropic and extended anisotropic scatterers". Applicable Analysis
Volume 96, No. 10, 2017 1713-1736 (arXiv:1601.02993)
- O. Bondarenko I. Harris, and A. Kleefeld "The interior transmission eigenvalue problem for an
inhomogeneous media with a conductive boundary". Applicable Analysis Volume 96, No. 1, 2017
- F. Cakoni, H. Haddar, and I. Harris "Homogenization of the transmission eigenvalue problem for
periodic media and application to the inverse problem". Inverse Problems and Imaging
Volume 9, No. 4, 2015, 1025–1049
- F. Cakoni and I. Harris "The factorization method for a defective region in an anisotropic
material". Inverse Problems, 31 025002 (2015)
- I. Harris, F. Cakoni, and J. Sun "Transmission eigenvalues and non-destructive testing of
anisotropic magnetic materials with voids".
Inverse Problems, 30 035016 (2014)
- I. Harris “Parameter identification for complex materials using Transmission Eigenvalues”. Oberwolfach Report, No. 45 (2016) 46-48. Extended Abstract for the workshop: Theory and
Numerics of Inverse Scattering Problems
- I. Harris "Non-Destructive Testing of Anisotropic Materials". University of Delaware, Ph.D. Thesis
Papers in Preparation or Submitted:
- I. Harris "Detecting an inclusion with a generalized impedance condition from electrostatic data via sampling"
- I. Harris and A. Kleefeld "The inverse scattering problem for a conductive boundary condition and transmission eigenvalues".
- I. Harris and W. Rundell "A direct method for reconstructing inclusions and boundary conditions from electrostatic data"
(Under Preparation) (arXiv:1704.07479)
- I. Harris and W. Rundell "Recovering sources from time trace measurements for the (fractional) heat equation"
(Under Preparation-Working Title)
- I. Harris "The direct and inverse problem for the fractional heat equation in a domain with an
impedance subregion" (Under Preparation-Working Title)
Teaching Spring 2018
I am teaching MATH 308-Differential Equations at TAMU Section 518
510 Lecture: MW - Blocker 133 at 4:10 - 05:25pm
Office Hours: MW 3:00-4:00 pm am or by appointment
Math 308 Syllabus.
Math Department course schedule. This course may not follow schedule exactly. Here is the PDF for the departments help session schedule, 308 will be MWTh from 7:00-10:00pm in Bloc 148.
Class Description/Learning Objectives: Ordinary differential equations, solutions
in series, solutions using Laplace transforms, systems of differential equations.
Basic hand computational techniques are still covered in this course, but perhaps
not with the same emphasis as in the past. Students should be shown how to solve
differential equations using the computer (both symbolically and numerically) and
be expected to solve a modeling or applications problem/project where the computer
is needed to complete the solution.
Last Updated: 1/19/18