Ph.D. Researcher — accessible, trustworthy, and privacy-aware GenAI
Protik Dey
I am second-year Ph.D. student in Computer Science at the University of Texas at San Antonio (UTSA) working in APeX Lab led by Dr. Taslima Akter.
Prior to starting my Ph.D. at UTSA, I worked three years as a Full-Stack developer at Kona Software Lab Ltd. My research
asks a simple question with a hard answer: how does trust actually form — and break — when
blind and low vision users rely on generative AI for everyday tasks?
02 Research Focus
My research centers on making generative AI genuinely usable for blind and low-vision (BLV)
people — not just technically available, but accessible, trustworthy, and
privacy-aware in everyday interaction. Generative AI is increasingly woven into how
people write, search, navigate, and get things done, yet these tools are rarely designed with
BLV users in mind. I study how BLV people actually experience these systems: where
interactions break down with assistive technology, what makes a response feel dependable or
doubtful, and how people weigh the convenience of AI assistance against control over their
personal information.
Building on that understanding, I work on translating BLV users' experiences and needs into
concrete interaction design guidance — so that the next generation of generative and agentic
AI tools is built with accessibility, trust, and privacy as foundations rather than
afterthoughts. This work sits at the intersection of human-computer interaction,
accessibility, and applied machine learning, combining qualitative methods with
human-centered evaluation of AI systems.
- Human-Centered AI
- Accessibility
- Trustworthy GenAI
- Privacy
- Assistive Technology
03 Publications
Abu Noman Md Sakib, Protik Dey, Zijie Zhang, Taslima Akter,
Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era.
Proceedings of the CHI 2026 Workshop on Human-Centered Explainable AI (HCXAI), Apr 2026.
Syed Zami-Ul-Haque Navid, Protik Dey, Shamiul Hasan, and Muhammad Masroor Ali,
Static Detection of Malicious Code in Programs Using Semantic Techniques.
11th International Conference on Electrical and Computer Engineering (ICECE), 2020.
04 Research Projects
- Built a benchmark dataset of Bengali Facebook posts about COVID-19, collected using CrowdTangle.
- Trained transformer-based models on the dataset and reported on the correspondence between fake news and audience reaction.
Brief Work in the Field of 5G and Beyond 5G
- Simulated 5G and beyond-5G network communication using NS-3.
- Analyzed throughput of highly dense terahertz communication networks.
05 Experience
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Jan 2026 – Present · Texas, USA
Graduate Research Assistant II, University of Texas at San Antonio
Leading research projects on accessible, trustworthy, and privacy-aware generative AI for
blind and low-vision users. Design and conduct user studies with BLV participants, and
build research prototypes to evaluate accessible AI interactions — from study design and
interviews through qualitative analysis and publication. Mentor undergraduate students on
research methods and academic writing.
Python · Prototyping · User studies · Thematic analysis
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Aug 2024 – Dec 2025 · Texas, USA
Graduate Teaching Assistant, University of Texas at San Antonio
Teaching assistant for undergraduate courses including Operating Systems and Systems
Programming. Graded assignments, projects, and exams, and supported students through
office hours on OS concepts and low-level C programming.
Operating Systems · Systems Programming · C · Unix/Linux
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Jan 2023 – Jul 2024 · Dhaka, Bangladesh
Software Engineer II, Kona Software Lab Limited
Worked in the Integrated Platform team building global payment solutions. Designed and
implemented validation and authorization for financial transactions including recharge
and payment flows.
Spring Boot · Redis · RabbitMQ · MariaDB
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Aug 2021 – Dec 2022 · Dhaka, Bangladesh
Graduate Engineer, Kona Software Lab Limited
Full-stack developer on the Digital Financial System team, delivering financial
transaction solutions for Nagad, Bangladesh's fastest-growing mobile financial system —
including tokenized payments, KYC, and bank/card transfers. Also helped stand up the
back-office portal for the KONAPLATE project using Angular.
Spring Boot · Angular · Redis · RabbitMQ · Strapi · Oracle
06 Education
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Aug 2024 – Present · Texas, USA
Ph.D. in Computer Science, University of Texas at San Antonio
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Feb 2016 – Mar 2021 · Dhaka, Bangladesh
B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET)
07 Skills
HCI & Research Methods
Semi-structured interviews, Thematic analysis, User studies, Usability testing, Interactive prototyping, Accessible & inclusive design
Programming Languages
C, C++, Java, Python, JavaScript, TypeScript, Bash
Libraries
NumPy, Pandas, Scikit-learn, Matplotlib
Frameworks & Tools
Spring Boot, Django, Angular, Strapi, JavaFX, Redis, RabbitMQ, Hibernate
Databases
Oracle, MySQL, MariaDB, SQLite