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PO Box 218 1101 Kitchawan RD Yorktown Heights, NY 10598
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Shashanka.Ubaru(at)ibm.com ubaru001(at)umn.edu
About Me
I am a Research Staff Member in the Mathematics of AI group at IBM T.J. Watson Research Center. Previously, I was a Goldstine Postdoctoral Fellow at IBM. My research interests are in Machine Learning, Numerical Linear and Tensor Algebra, and Coding Theory Applications. In particular, my research work has focused on the use of computational linear algebra tools and error correcting coding theory for solving problems related to machine learning, data analysis and signal processing. Currently, I am working on methods for quantum topological data analysis and graph based neural networks. New preprint on quantum topological data analysis with linear depth circuit. Recently, my collegues and I taught Mathematics of Big Data: Sketching and (Multi-) Linear Algebra at Mathematical Sciences Research Institute Berkeley summer school.
Curriculum Vitae (pdf)Education
- University of Minnesota, Minneapolis, MN, USA
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Ph.D Computer Science Sept. 2014 - May 2018
Advisor: Yousef Saad M.S. in Computer Science Sept. 2013 - Oct. 2015
Project: Low rank approximation using error correcting codes
Advisor: Yousef SaadM.S. in Electrical Engineering Sept. 2012 - Nov. 2014
Thesis: Randomized techniques for matrix decomposition and estimating the approximate matrix ranks
Advisors: Yousef Saad and Arya Mazumdar
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- M.S. Ramaiah Institute of Technology, Bangalore, India
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B.Eng. in Electronics and Communication Sept. 2008 - May 2012
Final Project: RADARS: Determining Doppler, Ranging and Imaging
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