Joyce McLaughlin
Ford Foundation Professor of Mathematics, IPRPI Director
McLaughlin is the Ford Foundation Professor in the Department of Mathematical Sciences and the director of IPRPI, the Inverse Problems Center at Rensselaer Polytechnic Institute. She frequently lectures on her work, where applications include medical imaging, ocean acoustics, and inverse problems in vibrating systems.
McLaughlin was first known for her work in inverse spectral theory, in which national frequencies and/or subsets of mode shapes, such as nodal sets, of a vibrating system are used to identify physical properties. She presented this work in 8 Conference Board of Mathematical Sciences Lectures in 2001. Furthermore, her work in this area was presented at the International Congress of Mathematicians in Zurich in 1994,
More recently she has become known for her work in biomechanical imaging of tissue. The physical process that produces the data is the dynamic movement of tissue at a low amplitude of displacement (on the order of microns) and the model for that process is used to create images of biomechanical tissue properties. These images are being utilized, together with ultrasound or MRI images, as a new medical diagnostic tool. The biomechanical imaging work was the subject of McLaughlin’s AWM/SIAM 2004 Kovalevsky Lecture and prize.
McLaughlin also works in shallow water acoustics finding biomasses in ocean waveguides and in geophysics where the goal is to identify fault geometry from frequent low level earthquakes in the fault region.
She is an inaugural Fellow of the Society for Industrial and Applied Mathematics Society (SIAM), an inaugural Fellow of the American Mathematical Society, a member of the Scientific Board of (AIM) American Institute for Mathematics, and a member of the International Advisory Board for the journal Inverse Problems.
Education

Ph.D., Mathematics, University of California, Riverside, 1968
M.A., Mathematics, University of Maryland, College Park
B.S., Mathematics, Kansas State University
Selected Publications
 J. McLaughlin, "Overview of Inverse Problems", Encyclopedia of Applied and Computational Mathematics, Vol. 2 LZ, pp. 11191128, 2015.(text of paper)
 Naofumi Honda, Joyce McLaughlin and Gen Nakamura, “Conditional Stability for a Single Interior Measurement” Inverse Problems, 2014, vol. 30, 119.
 Klein, J., McLaughlin, J. and Renzi, D. "Improving Arrival Time Identification in Transient Elastograph", Physics in Medicine and Biology. 57(8), 21 Apr 2012, Pages 21512168. (text of paper)
 McLaughlin, J.R., Oberai, A. and Yoon, JR., "Formulas for detecting a spherical stiff inclusion from interior data: A sensitivity analysis for the Helmholtz equation," Inverse Problems, 28 (2012) 084004.
 Zheglova, P.; McLaughlin, J. R.; Roecker, S. W.; Yoon, J. R.; Renzi, D.,"Imaging quasivertical geological faults with earthquake data", In: Geophysical Journal International, June, 2012, Vol. 189, Issue 3, pp.15841596 (text of paper)
 Mclaughlin, J., JR Yoon, “Arrival times for the wave equation”, Communications on Pure and Applied Mathematics (CPAM), March 2011, (64) issue 3, pp. 313327.
 Lin, K., Mclaughlin, J., Thomas, A., Parker, K., Castaneda, B., and Rubens, D. "Twodimensional shear wave speed and crawling wave speed recoveries from in vitro prostate data". Journal of Acoustical Society of America130(1):58598., July 2011
 Mclaughlin, J., Thomas, A., and Yoon, J.R."Basic Theory for Generalized Linear Solid Viscoelastic Models". AMS Contemporary Mathematics Volume: Tomography and Inverse Transport Theory, editors: G. Bal, D. Finch, P. Kuchment, J. Schotland, P. Stefanov, and G. Uhlmann. 2011, pp. 101134.
 K. Lin, J. McLaughlin, D. Renzi. Thomas, A. "Shear wave speed recovery in sonoelastography using crawling wave data," Journal of the Acoustical Society, July 2010, 128(1):8897
 S. Roecker, J. McLaughlin, B. Baker. "A FiniteDifference Algorithm for Full Waveform Teleseismic Tomography". International Journal of Geophysics, 2010, 181, 1017–1040.