sudershan [at] cmu.edu

I am a fourth-year Ph.D. student in Societal Computing at Carnegie Mellon University, where I am fortunate to be advised by Yuvraj Agarwal.

My primary research interest lies at the intersection of systems, machine learning, and IoT, with a primary goal to build reliable software and systems for ubiquitous intelligence. My current research focuses on building large-scale systems and machine learning applications in IoT, specifically to make it easier to create fast, safe, affordable, and maintainable applications for serving machine learning at scale. Along these lines, my current projects include:

  • Building a large-scale Ubiquitous Sensing Infrastructure for Real-World At-Scale Sensor Deployments to study new applications, privacy implications and devise new privacy abstractions.
  • Building Machine Learning platforms geared towards minimizing user burden to using Machine Learning applications in IoT; specifically developing new techniques for data featurization, learning events, and serving Machine learning models.
  • Developing a collaborative edge learning framework that uses data from different edge multi-modal sensors to create a customized model specific to each device, improving the learning performance beyond that achieved by any single device, without any cloud support.

If any of this resonates with you, I'd love to hear from you. The best way to reach me is sudershan [at] cmu.edu. Feel free to reach out if you have questions about my work or want to chat!


Publications | Google Scholar

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MLIoT: An End-to-End Machine Learning System for the Internet-of-Things
Sudershan Boovaraghavan, Anurag Maravi, Prahalladha Mallela, Yuvraj Agarwal
IoTDI 2021

Paper

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Vista: Spatial DataRepresentation for Smart Buildings
Matilda Kathryn Ferguson, Sudershan Boovaraghavan, Yuvraj Agarwal
BuildSys 2020

Paper

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Who can Access What, and When? Understanding Minimal Access Requirements of Building Applications
Jason Koh, Dezhi Hong, Shreyas Nagare, Sudershan Boovaraghavan, Yuvraj Agarwal, Rajesh Gupta
BuildSys 2019

Paper

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Supporting Maintenance Operations for IoT-Based Activity Recognition Using Transfer Learning
Matus Tomlein, Sudershan Boovaraghavan, Yuvraj Agarwal, Anind Dey
arXiv 2018

Paper

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CharIoT: An end-user programming environment for the IoT
Matus Tomlein, Sudershan Boovaraghavan, Yuvraj Agarwal, Anind Dey
IoT 2017

Paper

OCCASIONALLY, I TWEET

Patents

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Virtual sensor system
Yuvraj Agarwal, Christopher Harrison, Gierad Laput, Sudershan Boovaraghavan, Chen Chen, Abhijit Hota, Bo Robert Xiao, and Yang Zhang
U.S. Patent Application 16/591,987,filed January 30, 2020

© 2021 Sudershan Boovaraghavan | Updated Oct 31, 2021