S. V. N. Vishwanathan
S. V. N. Vishwanathan
Assistant Professor of Statistics
Assistant Professor of Computer Science

Joined department in 2008

Education:
Ph.D., Machine Learning
Indian Institute of Science (2002)
M.E., Computer Science
Indian Institute of Science (2000)
B.E., Electronics
M. S. University of Baroda (1998)

S. V. N. Vishwanathan is an Assistant Professor of Statistics and Computer Science with Statistics as his home department. His research focuses on machine learning with an emphasis on graphical models, structured prediction, kernel methods, and convex optimization. His work encompasses problems such as pattern recognition, OCR, bioinformatics, text analysis, and optimization. Vishwanathan earned his Ph.D. and M.E. in computer science from the Indian Institute of Science in 2002 and 2000, respectively. He earned his B.E. in electronics engineering from the M. S. University of Baroda. Prior to joining Purdue Vishwanathan was a principal researcher in the Statistical Machine Learning program at NICTA with an adjunct appointment at the College of Engineering and Computer Science (CECS) at the Australian National University.

Selected Publications
Alexander J. Smola, S. V. N. Vishwanathan, and Quoc V. Le, "Bundle Methods for Machine Learning", Advances in Neural Information Processing Systems 20, 2007.
S. V. N. Vishwanathan, Nicol N. Schraudolph, and Alexander J. Smola, "Step Size Adaptation in Reproducing Kernel Hilbert Space", Journal of Machine Learning Research, June 2006.
S. V. N. Vishwanathan and Alexander J. Smola, "Fast Kernels for String and Tree Matching", Kernel Methods in Computational Biology, 2004.
Last Updated: June 29, 2009 07:08pm
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