Professional Experience

2015 – Present
Pittsburgh, PA

Graduate Research Assistant

Carnegie Mellon University

  • IoT Decision Making and Social Influence: Explored the impact of social influence on privacy-related decision making of IoT data collection scenarios.
  • IoT-Related Privacy Concerns and Preferences: Studied the impact of different factors on privacy-related decision making to model concerns and preferences.
  • Password Meter: Studied how users choose passwords so as to provide useful feedback for users to help them create secure passwords.

Summer 2019
Redmond, WA

Research Intern

Microsoft Research

Worked on implementing different homomorphic encryption schemes onto a system on a chip (SoC), consisting of environmental sensors that measure air quality indicators, such as CO, NO2, and O3 (Primary mentors: Kristin Lauter and Kim Laine).
Summer 2017
Santa Clara, CA

Research and Development Intern

Intel Corporation

Investigated the effect of social influence on people when interacting with IoT data collection scenarios.
2014 – 2015
Tehran, Iran

Undergraduate Research Assistant

Sharif University of Technology

Developed and evaluated algorithms for energy efficient networking in wireless sensor networks and software defined networks (SDN).
Summer 2014
Ann Arbor, MI

Microelectromechanical Systems Research Intern

University of Michigan

Designed and implemented a chip-scale clock that had consistency in the presence of fluctuations under extreme conditions, such as outer space.
Summer 2014
Ann Arbor, MI

Image Processing Research Intern

University of Michigan

Designed a method to classify different wood textures with minimum array of pixels information.
Summer 2013
Ann Arbor, MI

Computer Architecture Research Intern

University of Michigan

Conducted research on optimizing the area and power in logic circuits.
Summer 2012
Boston, MA

Mechatronics Research Intern

Massachusetts Institute of Technology

Collaborated to design and implement a wide-band nano-positioning stage for high-frequency stimulation of cartilage tissue for osteoarthritis research.


Information about the privacy and security of Internet of Things (IoT) devices is not readily available to consumers who want to ...
To appear at the 41st IEEE Symposium on Security and Privacy (S&P), 2020

Despite growing concerns about security and privacy of Internet of Things (IoT) devices, consumers generally do not have access to ...
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2019

As increasingly many Internet-of-Things (IoT) devices collect personal data, users face more privacy decisions. Personal privacy assistants can provide social cues and help ...
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2018

Policies that require employees to update their passwords regularly have become common at universities and government organizations. However, prior work has suggested that forced password expiration might ...
Symposium on Usable Privacy and Security (SOUPS), 2018

Text passwords—a frequent vector for account compromise, yet still ubiquitous—have been studied for decades by researchers attempting to ...
ACM Conference on Computer and Communications Security (CCS), 2017

With the rapid deployment of Internet of Things (IoT) technologies and the variety of ways in which IoT-connected sensors collect and use personal data, there is a need for ...
Symposium on Usable Privacy and Security (SOUPS), 2017

Despite their ubiquity, many password meters provide inaccurate strength estimates. Furthermore, they do not explain to users ...
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2017