Deanna Needell

Current Students and Alumni

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    Graduate Students









  • Anna Ma, Claremont Graduate University, Topic modeling & compressed sensing

    Past graduate students and postdocs

  • Tina Woolf (2017), Claremont Graduate University, Practical Compressed Sensing (now at JPL)
  • Guangliang Chen (2015), postdoctoral researcher (now Asst. Professor at San Jose State)

    Past thesis students

          







          







  • Matthew Aven, Claremont McKenna College (2017), Daily Traffic Flow Pattern Recognition by Spectral Clustering
  • Wei Wu, Scripps College (2017), Paving the Randomized Gauss-Seidel Method
  • Dejun Wan, Claremont McKenna College (2016), The Randomized Kaczmarz Method with Application on Making Macroeconomic Predictions
  • Phillip North, Claremont McKenna College (2015), One-bit compressed sensing with prior information [Best Thesis Award 2015]
  • Jonathon Briskman, Claremont McKenna College, Block Kaczmarz Method with Inequalities
  • Evan Casey, Claremont McKenna College, Scalable Collaborative Filtering Recommendation Algorithms on Apache Spark [Outstanding Thesis Award 2014]
  • Nathan Falk, Claremont McKenna College, Policy Uncertainty and Irreversible Investment in the United States
  • Aparna Sarkar, Pomona College, Compressed Sensing and Human Vision
  • Zachary Siegel, Pomona College, Generative Models and Sparse Coding
  • Nathan Lenssen, Claremont McKenna College (2013), Audio Signal Processing and Forecasting [Best Thesis Award 2013]
  • Morgan Mayer-Jochimsen, Scripps College (2013), Public Healthcare Evaluation Techniques
  • Jing Wen, Pomona College (2013), Spectral Clustering Methods in Finance

    Summer Research

  • 2015 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Practical Compressive Signal Processing [ Papers ]









    • Mindy Case, UCLA
    • Xiaoyi Gu (NSF RA), UCLA
    • Hao-Jun Michael Shi, UCLA
    • Shenyingying Tu (NSF RA), UCLA

  • 2015 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Longitudonal MRI and compressed sensing [ Papers ]









    • Samuel Birns, UCLA
    • Bohyun Kim, UC Irvine
    • Stephanie Ku, UCLA
    • Kevin Stangl, UCLA

  • 2014 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Practical Compressive Signal Processing [ Papers ]










    • Christopher Garnatz, Pomona College
    • Xiaoyi Gu (NSF RA), UCLA
    • Alison Kingman, Harvey Mudd College
    • James LaManna, Pitzer College
    • Shenyingying Tu (NSF RA), UCLA

  • 2014 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Analysis of Neuroscience Data [ Paper ]









    • Arpineh Asadoorian, UCLA
    • Christian Ayala, Claremont McKenna College
    • Jessica Nadalin, UC Berkeley
    • Ryan McCarthy (RA), UCLA
    • Susannah Shoemaker, Pomona College

  • 2014 Summer Graduate Research Program, Claremont McKenna College
    Practical Compressive Signal Processing
    • Flora Xu Shu Jing (NSF RA), Claremont Graduate University
    • Tina Woolf (NSF RA), Claremont Graduate University
    • Ran Zhao (NSF RA), Claremont Graduate University

  • 2012 Research in Industrial Projects for Students (RIPS), Institute of Pure and Applied Mathematics, UCLA
    Spectral Clustering and the Attrition Problem [ Papers ]









    • Bianca Cung, UCLA
    • Tony Jin, Stanford
    • Juan Carlos Ramirez, Univ. of Mexico
    • Aubrey Thompson (project manager), Univ. of Nebraska

  • 2010 VIGRE VPUE Undergraduate Summer Workshop, Stanford
    Robust Principal Component Analysis[ Papers ]
    • Michael Hornstein, Stanford