Announcements

Announcements about the academic activities of group members (mainly not about papers)

  • Congratulations to David Kozak (spring 2020) and Zhishen (Leo) Huang (summer 2020) for successfully defending their PhD theses
  • Congratulations to Will Shand for graduating from CU with his BS/MS and being accepted at U. Virginia for a PhD program
  • Summer Internships for 2020:
    • Erik at Archer Dx
    • Osman at Fujitsu
    • Liam at IBM Research Dublin
  • Stephen will be speaking at the AIMS South Africa Spring School on Mathematics of Data Science in September 2019
  • Summer Internships for 2019:
  • David Kozak and Zhishen Huang defend their comprehensive exams -- April, 2019
  • Zhishen travels to Italy (Sestri Levante, Genova) for INNS Big Data and Deep Learning 2019
  • Marc Thomson is awarded "Outstanding graduate of the college" (college of engineering and applied science)!
  • Matt Maierhofer and Marc Thomson defend their Masters theses -- April, 2019
  • Jessica Gronski and Eric Kightley defend their PhD -- April, 2019
    • Jessica is taking a job with United Healthcare in Minneapolis
    • Eric is taking a job with Respond Software in silicon valley
  • Richard Border defends his Masters Thesis -- Thur Nov 15, 2018
  • Jessica Gronski and Eric Kightley defend their comprehensive exams -- Nov 2018
  • James Folberth defends his PhD -- Mon Oct 15, 2018
    • James is taking a job with ICR in AUrora
  • Becker and Malik's paper to appear in NIPS/NeurIPS 2018
  • Becker is co-PI on NSF Grant -- Aug , 2018

PI Todd Murray, for a 3-year NSF grant on photoacoustic tomography

Stephen Becker receives a 3-year $150k NSF grant from the DMS computational math program, award number 1819251, called "Extraction of Information from Scientific Simulations"

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.

Model Design Intern with Respond Software in Mountain View, CA

In June 2018, Stephen is traveling to Cambridge UK to give a short course on optimization

Farhad will join U Mass Lowell's CS department in fall 2018

See https://savvysherpa.com/

Derek Driggs is one of two winners of the engineering college's "Outstanding Graduates for Research". This is a college-wide honor. Congratulations Derek!

BS/MS student wins the prestigious Gates Cambridge scholarship for a funded PhD at Cambridge University (similar to the Oxford University Rhodes scholar)

We are pleased to announce a partnership with Northrop Grumman for calendar year 2017, focusing on signal processing

'A RANDOMIZED APPROACH TO EFFICIENT KERNEL CLUSTERING' by Farhad Pourkamali-Anaraki and Stephen Becker is accepted at the 2016 IEEE GlobalSIP Symposium on Symposium on Compressed Sensing, Deep Learning (http://2016.ieeeglobalsip.org/ ).

We have been awarded the Bloomberg Data Science Research Grant Program: http://www.bloomberg.com/company/announcements/data-science-research-grants-announcing-our-third-round-of-winners/ Many thanks to Bloomberg!

Congratulations to group member Derek Driggs for becoming one of the 2016 Goldwater Scholars!

Alex Gittens and Michael Mahoney visit

2016 SIAM Front Range Conference, students Derek, Farhad and James present their work; their projects are summarized on the projects page.

students have summer internship offers from the following companies:

Technicolor research (Bay Area), Farhad Pourkamali-Anaraki

Sandia National Lab with Tamara Kolda, Jessica Gronski

ICR, James Folberth

July 12 2015, with Michael Grant and Emmanuel Candes, we have won the Beale-Orchard-Hays prize, awarded at ISMP 2015. The prize is offered every 3 years

In recognition of outstanding reviews for the International Conference on Machine Learning

Our robust PCA software is available on github

Two papers accepted at NIPS 2014 in Montreal

Organizing NIPS 2014 “Out of the box: robustness in high dimension” workshop at NIPS 2014 in Montreal.