Faculty
Stephen Becker (assistant professor in Applied Math)
Postdocs
 Algorithmic and statistical aspects of modeling and optimization for big data analytics
 Scalable computational tools for largescale data analysis, statistical signal processing, and machine learning
 Signal and image processing using sparse and lowdimensional 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 kmeans and Gaussian mixture models
 Adjoint operators for first order algorithms
 Blind channel estimation via optimization
 Signal processing, crossambiguity function
 Randomized numerical linear algebra
 Imaging
Jessica Gronski (Applied Math)
 Nuclear Norms for Collaborative Filtering
 Interior Point Methods
 Imaging, phase retrieval
 Bilinear and nonconvex 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 bigdata 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 (20172018, Applied Math PhD)
 Liam Madden (2018, Applied Math PhD)
 David Kozak (2018, Coadvised, Applied Math & Stat PhD at Colorado School of Mines)
Undergraduate Students  Benjamin van Court (20152016, BS Electrical Engineering, BS Engineering Physics)
 Projects: fingerprint analysis using curvelets, formantbased speech editor (DLA program)
 Jeff Everett (20172018)
Undergraduate Summer Students  Cheryl Hansen (20172018; 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)
