I'm a fourth year Ph.D. student in Computer Science at the University of New Mexico, where I am being advised by Jedidiah Crandall. I also collaborate with Daniela Olivera and Xuetao Wei. I received my masters degree in Computer Science from the University of New Mexico in 2017. I also have a masters degree in Computer Science from Amirkabir University of Technology (Tehran Polytechnic).

My research interests span the areas of security and privacy. I'm also interested in applying machine learning/deep learning techniques to solve security and privacy problems. My current work focuses on analyzing privacy issues in social networks using deep learning tools. Much of my work in the past was focused on dynamic information flow tracking, which is a promising technique to prevent many attacks by bringing transparency into computation. In Summer 2017, I did a research internship at ICSI/UC Berkeley on Networking and Security Group, and worked with Nicholas Weaver mostly on detection of DNSChanger types of attacks.

News Updates

  • Aug. 2018: Submitted a paper on post monitorying in Sina Weibo using deep learning to PETS 2019.
  • March 2018: Our paper on illuminating in-memory injection attacks has been accepted to DSN 18 .
  • March 2018: Our paper on automatic tracking of Personally Identifiable Information (PII) has been accepted to EUROSEC 2018.
  • May 2017: Intering at ICSI/UC Berkeley on Networking and Security Group.