Disha Shur
I started a PhD in the Department of Computer Science at Purdue University, where I am extremely fortunate to be advised by Professor David Gleich. I am broadly interested in the low-dimensional representation of structured data which also spans developing localized and fast frameworks.
I obtained an undergraduate background in Electronics and Telecommunication Engineering, and dabbled with Electromagnetic imaging and 5G communication for a while before changing fields to graph representation learning for my master’s. While still in the department of Electrical and Computer Engineering, I worked with Prof. Gleich for my master’s as well where we worked on PageRank embedding.
Before starting my master’s, I briefly worked with Professor Anisur Molla on distributed algorithms.
news
Aug 15, 2022 | I officially started a PhD in Computer Science!!! |
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Aug 15, 2022 | I will be a TA for CS573 Data Mining with Professor Rajiv Khanna |
Apr 18, 2022 | I defended my master’s thesis. You can find the slides here and the thesis here. Lemme know what you think! |
Feb 17, 2022 | I will be joining Purdue CS as a PhD student in the Fall! |
Sep 16, 2021 | Got into Google Research Mentorship programme. |
Selected Publications
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SSSSmoothed Analysis of Leader Election in Distributed NetworksInternational Symposium on Stabilizing, Safety, and Security of Distributed Systems 2020
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PIERSTwo Dimensional Microwave Imaging Using a Divide and Unite Algorithm2017 Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL) 2017