Assistant Professor, Applied Mathematics |
I joined the department of Applied Math in fall 2014. Previously I was a Herman Goldstine Postdoctoral fellow in Mathematical Sciences at IBM Research in Yorktown Heights, NY, and a postdoctoral fellow via the Fondation Sciences MathÃ©matiques de Paris at Paris 6 (JLL lab) with Patrick Combettes, and co-advised by Volkan Cevher (EPFL). Until 2011, I was at Caltech where I did my doctoral work under Emmanuel CandÃ¨s.
Our group thanks:
stephen.
becker@colorado.eduOffice telephone: (303) 492 0662
Office: 231 ECOT (Engineering center, office tower)
Availability spring 2015: I am typically available M-F 9-6 except around lunch and MWF 9-10, W 2:30-4:30, and Thu 4:30-5:30
I am interested in collaborating with mathematicians, scientists and engineers on diverse projects.
Optimization: first-order methods, quasi-Newton methods, primal-dual algorithms, convex analysis
Numerical linear algebra: randomization and its interplay with optimization methods
Mathematical applications: compressed sensing and variants, matrix completion and variants (robust PCA…), non-negative matrix factorization and end-member detection, sparse SVM
Physical applications: radar ADC using compressed sensing, quantum tomography, MRI, medical imaging, IMRT, renewable energy, big-data
I am looking for motivated students to work with. If you are not currently a student, please apply to our undergraduate or graduate program and your application will receive full consideration.
Farhad Pourkamali-Anaraki, Dept. of Electrical and Computer Engineering. PhD student. 2015 – present
Teaching (Spring 2015): APPM 5450: Applied Analysis 2
Teaching (Fall 2014): APPM 5440: Applied Analysis 1
Nov. ’14, we have free software available for our robust PCA algorithm at NIPS 2014 in Montreal.
Sept. ’14, two papers accepted at NIPS
Organizing NIPS 2014 “Out of the box: robustness in high dimension” workshop at NIPS 2014 in Montreal.
Simons Institute youtube channel for interesting talks on a range of subjects
MMDS Foundation youtube channel for talks on big-data topics
Gene Golub summer school, 2015 is on randomization in numerical linear algebra
Peter Richtarik's meetings on optimization
Laura Grigori's reading group on randomized numerical linear algebra
Lieven Vandenberghe's “Optimization methods for large-scale systems”