S V N Vishwanathan

Professor of Computer Science
University of California, Santa Cruz

1141 High Street
Santa Cruz, CA 95060

Phone: +1 (831) 459 1721
email: vishy -at- ucsc -dot- edu
Vishy Photo


Since Fall of 2014, I am a Professor of Computer Science at University of California, Santa Cruz. Prior to that I was an Associate professor at Purdue with joint appointments in the departments of Statistics and Computer Science. Prior to coming to Purdue in fall 2008 I was a principal researcher in the Statistical Machine Learning program of NICTA with an adjunct appointment at the College of Engineering and Computer Science, Australian National University. I received my Ph.D in machine learning from the Department of Computer Science and Automation, Indian Institute of Science in the year 2003.


My research goal is to design, analyze, and implement novel machine learning algorithms that take advantage of modern hardware to enable learning on and mining of massive datasets. With the increasing availability of many-core processors, general-purpose graphics processing units, and solid-state drives, we are witnessing a hardware revolution. Existing machine learning algorithms do not take advantage of these emerging computing paradigms and hence do not scale to the increasingly common massive, distributed datasets. To develop the next generation of machine learning algorithms, we need to develop new models as well as new systems-aware, efficient, scalable optimization algorithms. Four major deliverables of my research agenda include: (1) new models for learning from massive datasets (2) new optimization algorithms--specialized for machine learning--that can exploit recent advances in hardware, (3) novel theoretical analysis for the new models and optimization algorithms, and (4) open-source tools for large scale machine learning. In addition, I am committed to dissemination of these ideas via publications, lectures at machine learning summer schools, and graduate and undergraduate level classes.

My research is funded by the National Science Foundation, Google, and Amazon. Some of my recent grants include:


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