Höft, Thomas
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 denoising 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/20122013/SW6.107.19.13/) & 2014 (http://www.ima.umn.edu/20132014/SW6.97.18.14/)
Selected Publications:
(1) "Single image DCremoval method for increasing the precision of twodimensional Fourier transform profilometry," U.S. Patent 8,605,150, Dec. 2013.
(2) "2D+3D face imaging for standoff 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. 11,63811,651, 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 chembio detection," Proc. MSS Active EO Systems, 2007 (with J. Marquardt et al.).
(6) "An inverse problem in nondestructive evaluation of spotwelds," 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.).
Spring 2016 Courses
Course  Section  Title  Days  Time  Location  

MATH 200  02  MultiVariable Calculus  M  W  F    0935  1040  OSS 226  
Description of course Genetics B/ Lab: 
CRN: 20199
4 Credit Hours
Instructor: Thomas A. Hoft
Vector algebra in two and three dimensions, partial derivatives, multiple integrals, line integrals, surface integrals, Green's Theorem, Stokes' Theorem, divergence theorem. Offered Fall and Spring.
Prerequisite: a grade of C or higher in MATH 114
Schedule Details


MATH 200  03  MultiVariable Calculus  M  W  F    1055  1200  OSS 226  
Description of course Genetics B/ Lab: 
CRN: 20528
4 Credit Hours
Instructor: Thomas A. Hoft
Vector algebra in two and three dimensions, partial derivatives, multiple integrals, line integrals, surface integrals, Green's Theorem, Stokes' Theorem, divergence theorem. Offered Fall and Spring.
Prerequisite: a grade of C or higher in MATH 114
Schedule Details


MATH 210  01  IntroDiffer Equations & Syst  M  W  F    0815  0920  OWS 257  
Description of course Genetics B/ Lab: 
CRN: 20200
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 firstorder 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. Offered Fall and Spring.
Prerequisite: a grade of C or above in MATH 114
Schedule Details

Summer 2016 Courses
Course  Section  Title  Days  Time  Location 

Fall 2016 Courses
Course  Section  Title  Days  Time  Location  

MATH 200  03  MultiVariable Calculus  M  W  F    0935  1040  OWS 257  
Description of course Genetics B/ Lab: 
CRN: 41318
4 Credit Hours
Instructor: Thomas A. Hoft
Vector algebra in two and three dimensions, partial derivatives, multiple integrals, line integrals, surface integrals, Green's Theorem, Stokes' Theorem, divergence theorem. Offered Fall and Spring.
Prerequisite: a grade of C or higher in MATH 114
Schedule Details


MATH 200  04  MultiVariable Calculus  M  W  F    1055  1200  OWS 257  
Description of course Genetics B/ Lab: 
CRN: 41954
4 Credit Hours
Instructor: Thomas A. Hoft
Vector algebra in two and three dimensions, partial derivatives, multiple integrals, line integrals, surface integrals, Green's Theorem, Stokes' Theorem, divergence theorem. Offered Fall and Spring.
Prerequisite: a grade of C or higher in MATH 114
Schedule Details
