Stephen Becker (assistant professor in Applied Math)

Farhad Pourkamali-Anaraki (Electrical Engineering)

          • Algorithmic and statistical aspects of modeling and optimization for big data analytics 
          • Scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning
          • Signal and image processing using sparse and low-dimensional models
          • Randomized numerical linear algebra

          • UPDATE: Fall 2018, Farhad is an assistant professor at U. Mass Lowell

PhD Students
James Folberth (Applied Math)

          • Algorithms for k-means and Gaussian mixture models
          • Adjoint operators for first order algorithms
          • Blind channel estimation via optimization
          • Signal processing, cross-ambiguity function
          • Randomized numerical linear algebra
          • Imaging

Jessica Gronski (Applied Math)

          • Nuclear Norms for Collaborative Filtering
          • Interior Point Methods
          • Imaging, phase retrieval
          • Bilinear and non-convex quadratic optimization

Other PhD students without a picture:
  • Eric Kightley (Applied Math)
  • Osman Malik (Applied Math)
  • Zhishen (Leo) Huang (Applied Math)

Masters Students
Derek Driggs (Applied Math, BS/MS)

          • Provably accelerated algorithms for robust principal component analysis
          • Parallelizable algorithms for randomized matrix decompositions
          • Multilinear methods in big-data analytics

          • UPDATE 2017: Derek graduated and is now doing his PhD at Cambridge University via a Gates Cambridge Fellowship

Other Masters students without a picture:
  • Marc Thomson (BS/MS)
  • Richard Border (concurrent PhD in Psych & Neuroscience)

Graduate Student Researchers
  • Richard (Richie) Clancy (2017-2018, Applied Math PhD)
  • Liam Madden (2018, Applied Math PhD)
  • David Kozak (2018, Co-advised, Applied Math & Stat PhD at Colorado School of Mines)
    Undergraduate Students
    • Benjamin van Court (2015-2016, BS Electrical Engineering, BS Engineering Physics)
      • Projects: fingerprint analysis using curvelets, formant-based speech editor (DLA program)
    • Jeff Everett (2017-2018)
    Undergraduate Summer Students
    • Cheryl Hansen (2017-2018; remote sensing of the Chesapeake Bay)
    • Abby Schmid (2017; remote sensing of the Yucatan for archaeological ruins)
    • Ashley Nelson (2017; remote sensing)
    • Will Shand (2018; minimum volume ellipsoids, outlier detection, coresets)