I am currently a Senior Manager at Maxar Technologies (formerly DigitalGlobe) in their Product R&D group, which does research toward next generation products in high-resolution satellite imaging. I have worked on a wide variety of projects including image analysis, machine learning, data science, large-scale inverse problems in bathymetry and atmospheric compensation, and parallel computations for large geodetic networks.

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Research Interests

    • Satellite image analysis and spectral science

    • Tensor factorizations applied to data mining

    • Optimization algorithms

    • Numerical linear algebra

    • C/C++/Matlab code optimization

    • Applications in imaging science, text analysis, machine learning, and modeling & simulation

Selected Papers

Selected Presentations

    • Bathymetry using WorldView-2 imagery (SIAM Annual Meeting, 2013)

    • Algebraic Techniques for Multilingual Document Clustering, presented at Google, January 25, 2011 (Google Tech Talk posted on YouTube)


    • MATLAB Tensor Toolbox - Higher-order operations and algorithms for multidimensional arrays

    • Trilinos - A collection of packages for high performance computations

    • NOX - A C++ nonlinear solver package (in Trilinos)


    • Automated concrete/asphalt detection based on sensor time delay, US Patent App.

    • Automated process for dynamic material classification in remotely sensed imagery, US Patent App.

    • Cloud detection from satellite imagery, 2021

    • Automated metric information network, 2016 & 2018

    • Bathymetric techniques using satellite imagery, 2016 & 2017

    • Technique for information retrieval using enhanced latent semantic analysis generating rank approximation matrix by factorizing the weighted morpheme-by-document matrix, 2012