About me

Hello! I’m a Computer Science Ph.D student at the University of California Davis where I am advised by Professor Sam King and Professor Zubair Shafiq. I specialize in security and privacy research with a focus on digital identities. My work involves conducting measurements, employing machine learning techniques, and building systems to discover and deploy innovative vectors for establishing digital identities, including hardware and biometrics.

News

2024

  • Awarded a Summer Fellowship by the Graduate Group in Computer Science (GGCS) for Summer 2024.
  • Attended IEEE Symposium on Security & Privacy ‘24 (Oakland)
  • “GlucOS: A secure, safe and extensible system for automated insulin delivery” was recognized as the AI-Selected Best Poster at IEEE S&P’24
  • “Adaptability, Extensibility and Simplicity in the MetabolicOS” was accepted at BioSys workshop’24
  • Presented a talk on “FP-Rowhammer: Rowhammer-Based Device Fingerprinting” with ProperData

2023

  • “Aragorn: A Privacy-Enhancing System for Mobile Cameras” was accepted at UbiComp’24
  • Presented a poster of “Centauri: Extracting device fingerprints using Rowhammer” at the 2023 ProperData Symposium at Northeastern University
  • Served on the PC of AISec Workshop, co-located with ACM Conference on Computer and Communications Security ‘23
  • Served on the PC of SecWeb 2023 Workshop, co-located with IEEE Symposium on Security & Privacy ‘23
  • Served as a reviewer for the IEEE Internet of Things Journal

2022

  • “Open Source Software Computed Risk Framework” was accepted at IEEE CSIT’22.
  • Presented a poster of “Centauri: Fingerprinting the Rowhammered Sky” at the 2022 Noyce Symposium at UC Santa Barbara.
  • Virtually attended Ad-Filtering Dev Summit.
  • Attended Usenix Security Symposium in Boston.
  • Awarded a Summer Fellowship by the Graduate Group in Computer Science (GGCS) for Summer 2022.
  • Presented a talk on “Aragorn: An Automated and Extensible Privacy-Enhancing System for Mobile Cameras” with ProperData.

2021

  • Attended ProperData Symposium at UC Irvine.
  • Virtually attended IEEE Symposium on Security & Privacy ‘21 (Oakland).
  • “Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments” was accepted at IEEE S&P’21.

2020

  • Virtually attended Usenix Security Symposium ‘20.
  • “Boxer: Preventing fraud by scanning credit cards” was accepted at Usenix’20.
  • Obtained MS in Computer Science from UC Davis.

2019

  • Explored the use of adversarial machine learning to mutate malware at Blue Hexagon Inc. for summer internship.
  • “MultiLock: Biometric-Based Graded Authentication for Mobile Devices” was accepted at Mobiquitous’19.

2017

  • Started graduate school at UC Davis.
  • Left job as Member of Technical Staff in the analytics team of Oracle Social Network (OSN) at Oracle India Pvt. Ltd.

2014

  • Started as Member of Technical Staff in the webclient team of Oracle Social Network (OSN) at Oracle India Pvt. Ltd.
  • Graduated from NIT Trichy.