Mili Shah
Associate Professor
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Department of Mathematics and Statistics
Loyola University Maryland
4501 N. Charles Street
Baltimore, MD 21210-2699
mishah@loyola.edu
Knott Hall 316d
410.617.2724

research
I am working with the National Institute of Standards and Technology on calibration and registration problems which have applications in computer vision, manufacturing, and robotics. For more information, check my CVIU paper. For code that I often use in my research check my Calibration and Registration website.

I am also working on calculating a symmetry preserving singular value decomposition (SPSVD), which is a matrix factorization that gives the best symmetric low rank approximation to a set of data. This decomposition has applications in molecular dynamics and face detection. For more information, check my SIMAX paper.

teaching fall 2014
  • Programming in Mathematics
  • Applied Calculus

  • past courses
  • Numerical Analysis
  • Real Analysis
  • Differential Equations
  • Calculus
  • Precalculus

  • papers
    [10] M. Shah, Solving the Robot-World/Hand-Eye Calibration Problem Using the Kronecker Product, ASME Journal of Mechanisms and Robotics, Volume 5, Issue 3 (2013).

    [9] M. Shah, R. D. Eastman, T. Hong, An Overview of Robot-Sensor Calibration Methods for Evaluation of Perception Systems, Performance Metrics for Intelligent Systems, (2012).

    [8] M. Shah, Comparing Two Sets of Corresponding Six Degree of Freedom Data, Computer Vision and Image Understanding, Volume 115, Issue 10 (2011), pp. 1355-1362.

    [7] T. Chang, T. Hong, J. Falco, M. Shneier, R. Eastman, M. Shah, Methodology for Evaluating Static Six-Degree-of-Freedom (6DoF) Perception Systems, Performance Metrics for Intelligent Systems, (2010).

    [6] M. I. Shah, Symmetric Eigenfaces, Technical Report, Loyola University Maryland (2009), TR2009_01.

    [5] M. Shah, T. Chang, T. Hong, R. Eastman, Mathematical Metrology for Evaluating a 6DOF Visual Servoing System, Performance Metrics for Intelligent Systems, (2009).

    [4] M. I. Shah and D. C. Sorensen, Best Non-Spherical Symmetric Low Rank Approximation, SIAM Journal on Matrix Analysis and Applications, 31 (2009), pp. 1019-1039.

    [3] M. I. Shah and D. C. Sorensen, A Symmetry Preserving Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, 28 (2006), pp. 749-769.

    [2] W. Wriggers, Z. Zhang, M. Shah, and D. C. Sorensen, Simulating Nanoscale Functional Motions of Biomolecules, Molecular Simulation, 32 (2006), pp. 803-815.

    [1] D. C. Sorensen and M. Shah, Principal Component Analysis and Model Reduction for Dynamical Systems with Symmetry Constraints, European Control Conference (CDC-ECC), 2005, pp. 2260-2264.