Becker group main page

The Becker group focuses on 
optimization and statistics for machine learning and signal processing applications. Some more information is on the website of Professor Becker.


Software from our group:

Summer Data-science track at the Northrop Grumman STEM camp

Beginning in 2017, we're working with Northrop Grumman and Rangeview High School in Aurora to put on a week-long data science track for high school students as part of their overall STEM camp (other tracks include cyber-security and space). Our data science group included 14 students. Below is a picture of students from all the tracks:


Recent projects

To give you an idea of what we're up to in 2018

  • Parametric and compressive estimation, for phase retrieval (Jessica) in x-ray imaging, and for discovering archaeological ruins (Abby) in radar imaging without creating a DEM
  • Theoretical machine learning: sub-sampling and sketching (Farhad, Eric)
  • Avoiding and analyzing saddle points in non-convex optimization: for biconvex programming in program analysis and controls (Jessica), and for dictionary learning and neural network learning (Leo)
  • Improving accuracy of sparse estimation using mixed-integer programming (Eric, Leo)
  • Efficient computation of the cross-ambiguity function (CAF) for signal processing, to estimate time-of-arrival of radar signals (James)
  • Randomized algorithms for numerical linear algebra and optimization (James, Derek)
  • Optimization algorithms in general, and ill-conditioning and pre-conditioning (James, Jessica, Osman)
  • Efficient algorithms for GPUs (James, Derek, Jessica)
  • Tensor decompositions (Osman, Derek)
  • Robust estimation (Richie)
  • Misc imaging applications (for optical super-resolution, with Carol Cogswell's group in ECEE; and for photo-acoustic super-resolution, with Todd Murray's group in Mech E)
  • Stochastic variance reduction methods for nonlinear inverse problems
  • Remote sensing of the Chesapeake bay (Cheryl)
  • Behavior genetics (Richard, Farhad)
Recent Announcements:

  • Becker receives NSF grant
    Stephen Becker's receives a 3-year $150k NSF grant from the DMS computational math program, award number 1819251, called "Extraction of Information from Scientific Simulations"
    Posted Jul 19, 2018, 2:38 PM by Stephen Becker
  • ALCF Aurora project funded
    Becker is part of Ken Jansen's "Data Analytics and Machine Learning for Exascale Computational Fluid Dynamics" project, funded by ALCF. 
    This gives them early access to the nation’s first exascale supercomputer.
    Posted Jul 19, 2018, 2:34 PM by Stephen Becker
  • Eric will intern summer 2018 with Respond Software
    Model Design Intern with Respond Software in Mountain View, CA
    Posted May 21, 2018, 2:22 PM by Stephen Becker
  • Stephen a CCIMI Distinguished Visitor at Cambridge
    In June 2018, Stephen is traveling to Cambridge UK to give a short course on optimization
    Posted May 15, 2018, 8:07 AM by Stephen Becker
  • Farhad takes tenure-track position
    Farhad will join U Mass Lowell's CS department in fall 2018
    Posted May 15, 2018, 8:07 AM by Stephen Becker
  • Jessica will summer intern (2018) at SavvySherpa
    https://savvysherpa.com/
    Posted Apr 5, 2018, 3:28 PM by Stephen Becker
  • Derek Driggs defends his Masters thesis
    Congratulations Derek!
    Posted Apr 13, 2017, 3:59 PM by Stephen Becker
  • Farhad Pourkamali-Anaraki defends his PhD
    His defense was March 22 2017. Congratulations!
    Posted Apr 13, 2017, 3:58 PM by Stephen Becker
  • Derek Driggs wins "Outstanding graduate in research" in engineering
    Derek Driggs is one of two winners of the engineering college's "Outstanding Graduates for Research". This is a college-wide honor. Congratulations Derek!
    Posted Apr 13, 2017, 3:57 PM by Stephen Becker
  • Derek Driggs wins Gates Cambridge scholarship
    BS/MS student wins the prestigious Gates Cambridge scholarship for a funded PhD at Cambridge University (similar to the Oxford University Rhodes scholar)
    Posted Feb 1, 2017, 3:48 PM by Stephen Becker
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