Rahul Garg
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Research Staff Member |
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Email: grahul [ dot ] us [ dot ] ibm [ dot ] com Phone: +1-914-945-2276 FAX: +1-914-945-4127 |
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Ph.D. Indian Institute of Technology, Delhi |
I
work at the Computational
Biology Center of IBM T. J.
Watson research center,
In my previous life, I was manager of the high-performance computing group at IBM India Research Lab. I was privileged to work with wonderful colleagues at the IBM India Research Lab. All the wonderful work we did wouldn’t have been possible without their enthusiasm, active involvement and support.
My
first love was communication networks followed
by game theory, auction algorithms and Economics. I also held an adjunct
faculty position in the Computer
Science Department of Indian Institute of
Technology,
Some useful/interesting links
Bibliographies
o Varability in fMRI BOLD hemodynamic function
Check out your free will personality here.
Can you change who you are? Check out NPR morning edition Science Explores Meditation's Effect on the Brain (2005) and NPR all things considered On The Science Of Spirituality (2009).
Representative publication
o Prediction and interpretation of distributed neural
activity with sparse models. [ doi,
pdf,
bibtex
]
Melissa K Carroll, Guillermo A Cecchi, Irina Rish, Rahul Garg, A Ravishankar Rao,
Neuroimage, Volume 44(1), January 2009, pages
112-122.
o Inferring brain dynamics using Granger causality on fMRI data. [ pdf ]
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao,
The Fifth IEEE International Symposium on Biomedical Imaging (ISBI 2008):
604-607.
o Gradient Descent with Sparsification:
An iterative algorithm for sparse recovery with restricted isometry
property. [ pdf ]
Rahul Garg and Rohit Khandekar,
In Proceedings, 26th International Conference on Machine Learning (ICML), 2009.
Following are the links to Matlab
implementation of GraDeS and the ICML talk.
o HPCC RandomAccess Benchmark
for Next Generation Supercomputers. [ pdf ]
Vikas Aggarwal, Yogish Sabharwal, Rahul Garg and
Philip Heidelberger,
IEEE International Parallel & Distributed Processing Symposium (IPDPS
2009). (Winner of the best paper award).
o Software Routing and Aggregation of Messages to
Optimize the Performance of the HPCC Randomaccess
Benchmark. [ pdf ]
Rahul Garg and Yogish Sabharwal,
In proceedings of the ACM/IEEE Conference on Supercomputing (SC’06) 2006. (Best
paper award finalist).
o Auction Algorithms for Market Equilibrium. [ pdf ]
Rahul Garg and Sanjiv Kapoor,
Proceedings of the Annual ACM Symposium on Theory of Computing (STOC’04) 2004.
Journal version appeared in Mathematics of Operations Research Vol. 31, No. 4,
November 2006, pp. 714-729 [ link, preprint ]
o A Game-Theoretic Approach Towards Congestion Control
in Communication Networks. [ link, preprint ]
Rahul Garg, Abhinav Kamra
and Varun Khurana,
ACM Computer Communication Review,
o Fair Bandwidth Sharing Among Virtual Networks: A
Capacity Resizing Approach. [ link,
pdf
]
Rahul Garg and Huzur Saran,
In Proceedings of INFOCOM, March 2000,
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Publications organized by topics
Algorithms, Machine Learning, and Game theory
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Awards and Honours
o Best paper award at IPDPS 2009
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o Technical
program committees: IPDPS 2006,
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हिंदी के साथ मेरे प्रयोग
o हँसने का मन कर रहा है? यह पेज हिन्दी में देखीये