Höft, Thomas portrait

Höft, Thomas

Assistant Professor
Degree
Ph.D., University of Minnesota
Office
OSS 204
Phone
(651) 962-5535
Fax
651-962-5670
Mail
OSS 201

Thomas Höft is an applied mathematician with research interests focusing on inverse problems in imaging. Prior to joining UST, he was a postdoc at Tufts University, a visitor at NIST, and spent the five years before that working in industry R&D at Lockheed Martin Coherent Technologies just outside Boulder, CO. In his "spare" time, he can be found hiking, playing ultimate, banging on drums, or hanging out with his family. He misses the mountains but is glad to be around lakes again.

 

Education:

Ph.D. Applied and Industrial Mathematics, University of Minnesota, 2005.

M.S. Applied and Industrial Mathematics, University of Minnesota, 2002.

B.A. Physics, Mathematics, minor in Computer Science, St. Olaf College, 1999.

 

Research Interests:

Inverse problems in imaging with applications to science and industry, though I'll work on most anything combining science, computing, and mathematics. Currently, I have active research projects in de-noising of remote sensing images, image formation for computational photography, automatic identification of bird song, and fast multipole methods for molecular dynamics simulations. While in industry, I worked on modeling and image analysis for laser RADAR systems, with projects ranging from image formation and reconstruction to phenomenology of laser scattering from airborne particulates. My Ph.D. thesis work used regularization techniques on inverse problems in imaging with applications to nondestructive evaluation of materials in industrial manufacturing processes.

 Miscellaneous:

 

Secretary / Treasurer, Business Industry and Government Special Interest Group of the Mathematical Association of America (BIG SIGMAA http://sigmaa.maa.org/big/).

Undergraduate Research: CSUMS 2014 (http://www.stthomas.edu/cam/csumsprogram/), MAXIMA REU 2013 (http://www.ima.umn.edu/2012-2013/SW6.10-7.19.13/) & 2014 (http://www.ima.umn.edu/2013-2014/SW6.9-7.18.14/)

 

Selected Publications:

(1) "Single image DC-removal method for increasing the precision of two-dimensional Fourier transform profilometry," U.S. Patent 8,605,150, Dec. 2013.

(2) "2D+3D face imaging for stand-off biometric identification," CLEO Technical Digest, paper ATuF4, 2011 (with B. Redman et al.).

(3) "Atmospheric turbulence correction using digital holographic detection: experimental results," Optics Express, vol. 17, no. 14, pp. 11,638-11,651, 2009 (with J. Marron et al.).

(4) "Proposed digital holographic 3D mapping of coral beds," Proc. SPIE, vol. 7150, paper 71500H, 2008 (with R. Kendrick et al.).

(5) "Multispectral laser radar for chem-bio detection," Proc. MSS Active E-O Systems, 2007 (with J. Marquardt et al.).

(6) "An inverse problem in nondestructive evaluation of spot-welds," Inverse Problems, vol. 22, no. 2, p. 645, 2006 (with E. Francini and F. Santosa).

(7) "Evidence for a nuclear hexadecapole interaction in the hyperfine spectrum of LiI," J. Chem. Phys., vol. 110, no. 5, pp. 2431–2436, 1999 (with J. Cederberg et al.). 

Fall 2014 Courses

Fall 2014 Courses
Course - Section Title Days Time Location
MATH 113 - 01 Calculus I M - W - F - - 0815 - 0920 OSS 226
CRN: 41155 4 Credit Hours Instructor: Thomas A. Hoft An introductory course in calculus: limits; derivatives and integrals of algebraic, exponential, logarithmic and trigonometric functions of one real variable; applications of the derivative in engineering and the natural sciences. Prerequisite: a grade of C- or above in MATH 105 or a satisfactory score on the mathematics placement examination. (Four years of high school mathematics, including college algebra and trigonometry, also are recommended as background for this course.) NOTE: Students who receive credit for MATH 113 may not receive credit for MATH 108, 109, or 111.

Schedule Details

Location Time Day(s)
MATH 113 - 02 Calculus I M - W - F - - 1055 - 1200 OSS 226
CRN: 40233 4 Credit Hours Instructor: Thomas A. Hoft An introductory course in calculus: limits; derivatives and integrals of algebraic, exponential, logarithmic and trigonometric functions of one real variable; applications of the derivative in engineering and the natural sciences. Prerequisite: a grade of C- or above in MATH 105 or a satisfactory score on the mathematics placement examination. (Four years of high school mathematics, including college algebra and trigonometry, also are recommended as background for this course.) NOTE: Students who receive credit for MATH 113 may not receive credit for MATH 108, 109, or 111.

Schedule Details

Location Time Day(s)
MATH 315 - 01 Applied Math & Modeling I M - W - F - - 0935 - 1040 OSS 214
CRN: 40966 4 Credit Hours Instructor: Thomas A. Hoft This is a topics course in applied mathematics. Course content will be drawn from topics that coincide with expertise of department members. Recent toipics include finite element methods, techniques in scientific computing, wavelets and applications, mathematical biology, and weather modeling. Offered fall semester. Prerequisites: A grade of C- or above in MATH 210 and 240, or permission of instructor.

Schedule Details

Location Time Day(s)
MATH 489 - 01 Topics - - - - - - - -
CRN: 43422 Instructor: Thomas A. Hoft The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule

Schedule Details

Location Time Day(s)

J-Term 2015 Courses

J-Term 2015 Courses
Course - Section Title Days Time Location

Spring 2015 Courses

Spring 2015 Courses
Course - Section Title Days Time Location
MATH 210 - 01 Intro-Differ Equations & Syst M - W - F - - 0935 - 1040 OSS 226
CRN: 20217 4 Credit Hours Instructor: Thomas A. Hoft An introduction to ordinary differential equations (ODEs), with an emphasis on linear differential equations and linear systems, including applications. Topics covered include first-order equations, ODE models in the physical and biological sciences and engineering, numerical methods of solution, higher order linear equations, matrix tools, the role of eigenvalues and eigenvectors, and LaPlace transforms. Prerequisite: a grade of C- or above in MATH 114

Schedule Details

Location Time Day(s)
MATH 210 - 02 Intro-Differ Equations & Syst M - W - F - - 1055 - 1200 OSS 226
CRN: 20218 4 Credit Hours Instructor: Thomas A. Hoft An introduction to ordinary differential equations (ODEs), with an emphasis on linear differential equations and linear systems, including applications. Topics covered include first-order equations, ODE models in the physical and biological sciences and engineering, numerical methods of solution, higher order linear equations, matrix tools, the role of eigenvalues and eigenvectors, and LaPlace transforms. Prerequisite: a grade of C- or above in MATH 114

Schedule Details

Location Time Day(s)