I'm currently a computer security researcher at the University of Washington, working with Prof. Tadayoshi Kohno, and Prof. Franziska Roesner on emerging topics in computer security and privacy. My recent research focuses on Cyber-Physical Systems, and Adversarial Deep Learning. I have received two best paper awards (at IEEE S&P and IEEE SecDev) for my work in smart home security. My work has been featured in Wired, The Verge, Ars Technica, and Science Magazine, and I have been interviewed on national radio about security issues. I earned my Ph.D. in Computer Science and Engineering at the University of Michigan in 2017 where I was advised by Prof. Atul Prakash.

Selected publications


  • Nominee, UW Postdoc Mentoring Award
  • IEEE S&P Distinguished Practical Paper Award
  • U.S. Qualcomm Innovation Fellowship Finalist
  • UMich PhD Fellowship


  • Ivan Evtimov
    Ph.D. student at University of Washington
    Mentoring on Adversarial deep learning
    Aug 2017 - present
  • Mitali Palekar
    B.S. student at University of Washington
    Mentoring on Trigger-action programming
    Aug 2017 - present
  • Zhi Qian Seah
    University of Michigan
    Bachelor Thesis Technical Advisor
    "Partitioning the Android System Services"
    2014 - 2015
  • Jeremy Workman
    Purdue University
    Bachelor Thesis Technical Advisor
    "Implementation of Mobile VoIP using Wireless Broadband"
    2009 - 2010


  • Adversarial Deep Learning - CSE 590Y
    Primary Instructor
    University of Washington Graduate School

  • Computer and Network Security - EECS 588
    Primary Instructor
    University of Michigan Graduate School


  • System and Method for Extracting and Sharing Application-Related User Data
    Oriana Riva, Suman Nath, Doug Burger, Earlence Fernandes
    U.S. Patent 14/734,991

  • De-siloing Applications for Personalization and Task Completion Services
    Oriana Riva, Suman Nath, Doug Burger, Earlence Fernandes
    U.S. Patent 14/618,854

Published Book