I am a mixed methods researcher with a proven track record of leading and executing research projects. My approach combines creativity, rigor, and inclusivity, shaped by my software engineering background, Ph.D. in human-computer interaction, and immigrant experience.
Currently exploring research and consulting roles. Based in the Bay Area & open to relocating for the right fit. No need for visa sponsorship (Green Card holder).
Ph.D. in Computer Science (HCI)
University of Edinburgh
M.Sc. in Computer Science
University of Bonn
M.Sc. in Information Technology
University of Tehran
As lead author, I drove at least 70% project contribution across all research phases: concept, ethical approvals, recruitment, data collection, analysis, interpretation, paper writing, and presentation. I have collaborated with 46 co-authors in total.
Conferences in computer science are considered to be highly influential, with each paper undergoing a review process by at least 3 reviewers to assess its rigor, innovation, and writing quality.
By analyzing 128 papers (31% of proceedings) from 2018 to 2022 in an AI research conference, we discovered 84% solely feature Western participants, mainly U.S. Efforts to diversify stem from researchers' local data collection signaling that researchers need to collect data from under-represented populations to obtain an inclusive worldview.
Our study uses interviews with 19 developers and a survey of 309 users to reveal shared privacy concerns in permission systems: trust, app reputation, and data access. Developers sometimes seek multiple permissions due to confusion or third-party needs. Users perceive permission granting as their choice, aligning with developers.
Mobile apps and ad networks blur privacy lines, posing regulatory risks. We study ad network interfaces via empirical studies and think-aloud sessions involving 11 developers. Insights reveal scattered, confusing privacy info, complicating compliance. Ad networks shift the responsibility, while developers seek user-friendly tools. Our recommendations: centralize privacy details, simplify configurations, provide testing mechanisms, and enhance documentation through multimedia resources for app developers, bolstering privacy adherence.
Acquiring skilled programmers remains a challenge for tech-focused empirical studies. We delve into this using established surveys instruments, targeting CS students and diverse crowdsourcing platforms (Appen, Clickworker, MTurk, Prolific). 613 participants were recruited, gauging programming skills, security outlook, and development self-efficacy. Our exploration weighs costs, quality, skill levels, and privacy attitudes across recruitment channels.
Ad networks offer personalized ads to boost developers' revenue, but their framing influences their decisions, affecting user privacy. We performed an online survey experiment with 400 app developers, varying choice frames around ad personalization across six conditions. Key outcomes: Highlighting privacy impact raises non-personalized ad preference by 11 times compared to a condition where privacy is not salient; Developer choices are impacted by revenue, user privacy, and relevance.
We engaged 12 Privacy Champions in software teams to explore their motivations, tactics, and barriers in safeguarding user privacy. Barriers include weak privacy culture, internal conflicts, tech constraints, and elusive metrics. Privacy Champions combat these through dialogue, management backing, and strategic guidelines. Notably, hands-on code reviews and practical training trump generic awareness efforts.
We orchestrated an online experiment (N=132) exposing participants to program analysis tools (SpotBugs & SonarQube ) while addressing vulnerabilities in early software stages. Results highlight positive developer sentiment towards these tools, with preference for practical examples and flawed code scenarios. These tools slightly improved developer abilities in fixeing security issues. Nonetheless, majority of participants stumbled on code correction, showcasing challenges. Answer accuracy saw boosts from developer experience, vulnerability perception, and confidence.
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When not doing research, I spend time with my family and friends, as well as indulge in watching movies and listening to podcasts. I enjoy taking walks and hikes in nature, but I also enjoy strolling around my neighborhood, checking out people’s yards (plants, trees, & flowers). I love my bike and traveling too!
How I got into research? Before becoming a researcher, I spent four years working as a software engineer and co-founded a startup with some friends. We had many failures, which later on, I think was because we were too many engineers under one roof (of course, one of the primary reasons, not the only one). When I was introduced to research and human factors, it resonated with my experiences as an engineer, prompting me to follow this subject. My quest led me to get a Ph.D. in human-computer interaction and six years of experience in the field so far! Read more about my journey here & here.
From Middle-East to Europe & Americas: I have lived in Iran, Germany, Scotland, Canada, England, and the United States. These diverse experiences have broadened my perspective, as I’ve had the opportunity to engage with people from different backgrounds and cultures. This spectrum of views has become invaluable to my life, and I cherish it dearly.
Interested in my work? If you are interested in discussing my work or any other topic related to my background, I would happily allocate 20-30 minutes for a chat. Please feel free to email me, and I can often arrange a time within a week of receiving your message.