Vladimir Braverman

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I am an Associate Professor in the Department of Computer Science at Johns Hopkins University, with the secondary appointment in the Department of Applied Mathematics and Statistics. I graduated from UCLA; before that, I was leading the research group at HyperRoll, Israeli startup that has been acquired by Oracle in 2009. My research interests include efficient sublinear algorithms (such as sketches and coresets) and their applications to data science, machine and deep learning, systems and networks, physics and astronomy, oncology and radiology.
Openings: I am looking for outstanding students and postdocs who are interested to work on algorithmic challenges of modern machine and deep learning. If you are interested, please send me an email.

Affiliations:


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Teaching:

Fall 2019: Randomized and Big Data Algorithms (601.464/664).

Spring 2018: Introduction to Algorithms/Algorithms 1 (601.433/633).


Students and Postdocs:

I have been fortunate to advise the following great researchers.

Current Postdocs, Ph.D. and Master Students:

Former Ph.D. Students and Postdocs:

Undergraduate Students:


Publications:

DBLP Google Scholar

Projects:

Clustering of Massive Datasets and Applications


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