Healthcare Data Infrastructures in Bangladesh
Studying about healthcare data in large public hospitals and how these data can be used to leverage the powers of AI in Bangladesh healthcare system.
Research in responsible AI, human–computer interaction, privacy, healthcare data infrastructures, and efficient on-device intelligence.
As the first woman at Samsung R&D Institute Bangladesh to lead an AI-related patent initiative and achieving highest internal grade, I directed its end-to-end development—from formulating the novel concept and technical design to developing the proof of concept and supporting validation tools.
| Patent | Contribution |
|---|---|
| Automated Video Privacy Generation Filed at Samsung Headquarters | Led the invention’s end-to-end development, including the original concept, technical design, proof-of-concept implementation, and supporting tool development for a real-time face-anonymization system. |
| Optimization of dLoRA Architecture Submitted to Samsung Headquarters | Led to the design and development of an optimized on-device model-adaptation approach for reducing inference latency and improving battery efficiency. |
2026
CHI 2026 Poster · Accepted
An empirical investigation of Bangladesh’s preparedness for responsible AI adoption across academia, industry, and government.
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2026
ACM COMPASS 2026 · Accepted
Examines how curriculum path dependency, infrastructural limitations, pedagogical blackboxing, and governance gaps influence AI readiness in Bangladesh.
View paper →Studying about healthcare data in large public hospitals and how these data can be used to leverage the powers of AI in Bangladesh healthcare system.
Investigating privacy risks that emerge when people share access to large language models, particularly in resource-constrained and Global South settings.