Research

What I Work On

I study how people experience intelligent technologies, with a focus on older adults and the role trust plays in whether these systems help or fail the people they are meant to serve.

Current Research

My research examines how older adults perceive, adopt, and question technologies designed for aging. I am interested in the conditions under which trust in these systems is built, withheld, and repaired, and in what appropriate reliance should look like when the systems involved are driven by AI.

As a Graduate Research Assistant at NJIT, I study human-AI collaboration with an emphasis on transparency and explainability for non-expert users. I work primarily with qualitative and mixed methods, and I translate what I learn into design guidance for systems that are more legible, more respectful of user agency, and more accessible.

The first peer-reviewed paper from this research, Towards Designing for (Dis)Trust in Technologies for Aging, was accepted to ACM ASSETS 2026. See Publications for the full citation.

Previous Research

The projects below reflect earlier research directions, mainly in usable security and blockchain systems. They shaped how I think about security, privacy, and people, but they no longer represent my active focus.

Security Analysis of Passkeys

I analyzed how passkeys are stored across popular password managers and found metadata leakage and weak encryption practices that can expose login data, visited URLs, and timestamps. I also built a browser extension that flags compromised or at-risk passkeys for each website a user signs in to.

Browser Automation for Improving Security Guides

I developed a system that validates and updates public security guides, such as those maintained by the Electronic Frontier Foundation, when platforms change their interfaces or settings. The system pairs open-source language models running on HPC clusters with Playwright-based browser automation.

Security Analysis of Software-Based Cryptocurrency Wallets

My thesis examined security vulnerabilities and privacy practices in software cryptocurrency wallets. It combined vulnerability assessment tools with manual and machine-learning analysis of user reviews to evaluate how well these wallets keep cryptocurrencies secure and usable. I was fortunate to be supervised by Dr. Jabed Morshed Chowdhury and Dr. Sadek Ferdous Ripul.

COVID-19 Vaccine Supply Chain

A private blockchain-powered supply chain that establishes end-to-end traceability for COVID-19 vaccines while safeguarding distribution and transportation. The project reached the finals of the Blockchain Olympiad Bangladesh 2022. Details and source code are on the Projects page.