sudershan [at] cmu.edu

I am a sixth-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 safe, 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. My work has led to the establishment of a first-of-its-kind IoT testbed through the deployment of the Mites system in the newly constructed CMU TCS building. 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.

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!

📢   I am on the job market and I am interested in both academia and industry positions. If you know of any openings, please feel free to contact me. Here is my CV.

Publications | Google Scholar

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Kirigami: Lightweight Speech Filtering for Privacy-Preserving Activity Recognition using Audio
Sudershan Boovaraghavan, Haozhe Zhou, Mayank Goel, Yuvraj Agarwal.
IMWUT 2023

Paper

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TAO: Context Detection from Daily Activity Patterns using Temporal Analysis and Ontology
Sudershan Boovaraghavan, Prasoon Patidar, Yuvraj Agarwal
IMWUT 2023

Paper

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Mites: Design and Deployment of a General-Purpose Sensing Infrastructure for Buildings
Sudershan Boovaraghavan, Chen Chen, Anurag Maravi, Mike Czapik, Yang Zhang, Chris Harrison, and Yuvraj Agarwal.
IMWUT 2023

Paper

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FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling Using an Eyeglasses-based Wearable.
Abdelkareem Bedri, Yuchen Liang, Sudershan Boovaraghavan, Geoff Kaufman, and Mayank Goel.
IUI 2022

Paper

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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

📢   News

08/23: I was awarded the 2023 CyLab Presidential Fellowship

07/23: Paper on TAO-context sensing paper gets accepted to Ubicomp'23

04/23: Completed my Thesis Proposal!

01/23: Mites paper gets accepted to Ubicomp'23, see you in Cancún!


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

© 2023 Sudershan Boovaraghavan | Updated March 14, 2024