Computer Science Assistant
Resume:
Vamsi Krishna Potluru
Dept. of Computer Science, UNM office: 505-***-****
Contact
Albuquerque, NM, 87106 cell: 505-***-****
Information
email: *****@**.***.***
www: www.cs.unm.edu/~ismav
University of New Mexico, USA Ph.D., Computer Science 2008 - 2014 (defended, April)
Education
Hamilton Institute, NUIM, Ireland Graduate student, Computer Science 2003-2004
University of New Mexico, USA M.S., Computer Science 2001 - 2002, 2006-2008
IIT Bombay, India Bachelor of Technology, Electrical Engineering 1997 - 2001
2012 UNM RPT Award Massive Modern Datasets 2012
Awards/Merits
2012 Student Award SIAM Conference on Data Mining
2011 Student Travel Award International Conference on Data Mining
2009 Student Award SIAM Conference on Data Mining
1997 Ranked in top 0.1% at IIT-JEE National exam in India (>100,000 students)
1996 4th in Regional Mathematics Olympiad (India)
My interests are broadly in applications and foundations of large-scale machine learning. Applications
Research
from real-world datasets that I have worked on include structured user prediction, event detection in
Interests
time-series data, radiation therapy treatment planning systems and fMRI brain analysis. In partic-
ular, I am interested in designing algorithms for multicore architectures and distributed computing
for machine learning problems such as nonnegative matrix factorization, dictionary learning, support
vector machines and logistic regression.
Vamsi K. Potluru: Pairwise Coordinate Descent for Sparse NMF. In GREEDY workshop, Neural
Work (Latest)
Information Processing Systems (NIPS) 2013.
Vamsi K. Potluru, Sergey M. Plis, Barak A. Pearlmutter, Vince D. Calhoun and Thomas P. Hayes:
Block Coordinate Descent for Sparse NMF. In International Conference on Learning Representations
(ICLR) 2013.
Vince Calhoun, Vamsi K. Potluru, Ronald Phlypo, Rogers Silva, Barak A Pearlmutter, Sergey Plis,
T lay Adali: Independent component analysis for brain fMRI does indeed select for maximal inde-
u
pendence. In Human Brain Mapping (HBM) and PLOS ONE 2013 .
day to day : Matlab/Octave, C/C++, Python, Hadoop, CUDA, L TEX 2ε, SQL
A
Programming
have experience : ML, Prolog
Research Intern
Positions and
Mitsubishi Electric Research Labs, Cambridge, MA 2013 – 2014
www.merl.com
Employment
Graduate Research Assistant
Department of ECE, University of New Mexico, NM 2007 – 2012
www.ece.unm.edu
Project Assistant
Computer Science Department, University of New Mexico, NM 2006
www.cs.unm.edu
Graduate Research Assistant
Hamilton Institute, National University of Ireland, Maynooth 2003 – 2004
www.hamilton.ie
Graduate Research Assistant
Computer Science Department, University of New Mexico, NM 2001 – 2002
www.cs.unm.edu
Sergey M. Plis, Vamsi K. Potluru, Morten Mørup, Vincent D. Calhoun, and Terran Lane: Machine
Invited talks
Learning: Efficient Updates for Support Vector Machines, The Computer Society Chapter of the Los
Alamos/Northern New Mexico Section of the IEEE, Los Alamos, NM, February 12, 2009
Journal reviewer NeuroImage, JMLR, Elseiver Signal Processing, Artificial Intelligence
Professional
Program committee member AAAI 2013
Activities
B. A. Pearlmutter and Vamsi K. Potluru. Sparse Separation: Principles and Tricks. Proc SPIE
Conferences
volume 5102, ”Independent Component Analyses, Wavelets, and Neural Networks”, April 2003, pages
(Unreviewed)
1-4.
Vamsi K. Potluru : Frugal Coordinate Descent for Large-scale Nonnegative Least Squares. In AAAI
Publications
(Peer reviewed) 2012.
Sergey Plis, Vamsi K. Potluru, Elena Allen, Eswar Damaraju, Jessica Turner, Vince Calhoun. Joint
inference of functional ROIs and their interaction graph . In Human Brain Mapping (HBM), 2012.
Sergey Plis, Jing Sui, Terran Lane, Sushmita Roy, Vince Clark, Vamsi K. Potluru, Andrew Michael,
Michael Weisend, Vince Calhoun. Capturing high-order interactions in neuroimaging data . In
Human Brain Mapping (HBM), 2012.
Vamsi K. Potluru : Understanding and Exploiting the Connections between NMF and SVM, Inter-
national Conference on Data Mining (ICDM) PhD Forum, 2011
Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, and Thomas P. Hayes: Sparseness
and a Reduction from Totally Nonnegative Least Squares to SVM, International Joint Conference on
Neural Networks, 2011
Sergey M. Plis, Vamsi Potluru, Terran Lane, and Vince Calhoun: Correlated Noise: How it Breaks
NMF, and What to Do About it, Journal of Signal Processing Systems, 2010
Sergey M. Plis, Vamsi K. Potluru, Vince D. Calhoun, and Terran Lane: Correlated Noise: How
it Breaks NMF, and What to Do About It, Proceedings of the IEEE International Workshop on
Machine Learning for Signal Processing (MLSP), 2009
Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, and Terran Lane: Efficient
Multiplicative updates for Support Vector Machines Proceedings of the 2009 SIAM Conference on
Data Mining (SDM) (acceptance rate: 15.67%), 2009
Vamsi K. Potluru, Sergey M. Plis, and Vincent D. Calhoun: Sparse shift-invariant NMF, 2008 IEEE
Southwest Symposium on Image Analysis and Interpretation, March 2008
Vamsi K. Potluru and Vince D. Calhoun. Group learning using contrast NMF: Application to func-
tional and structural MRI of schizophrenia. In IEEE International Symposium on Circuits and
Systems (ISCAS 2008), May 2008.
Vince D. Calhoun, Ph.D. Thomas P. Hayes, Ph.D.
References
(Advisor)
Director, Image Analysis and MR Research Assistant Professor, Computer Science
The Mind Research Network University of New Mexico
Professor Depts. of Electrical and Computer
Engineering, Neurosciences, and Computer
Science
University of New Mexico
tel: 505-***-**** tel: 505-***-****
fax: 505-***-**** fax: 505-***-****
email: ********@***.*** email: *****@**.***.***
Barak Pearlmutter, Ph.D. John R. Hershey, Ph.D.
Professor, Computer Science Senior Principal Member Research Staff,
Hamilton Institute at NUI Maynooth Mitsubishi Electric Research Labs
County Kildare, Ireland Cambridge, MA
tel: +353-*-******* tel: 617-***-****
fax: +353-*-*******
email: *****@**.****.** email: *******@****.***
Contact this candidate