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portfolio

publications

A Non-intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones

Published in 21st International Conference on Computational Science (ICCS 2021) Krakˁow, Poland, 2021

Lead a team towards condensing one of the largest datasets (10 billion+ records) for malware classification in smartphones to 0.1% of its feature set whilst retaining threshold accuracy reported by competing data intensive methods through efficient data preprocessing and online learning.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://saivishy.github.io/files/paper1.pdf

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.