Ahnaf Mozib Samin
Papers
1
Total Citations
3
H-Index
1
About
Ahnaf Mozib Samin is a researcher at the forefront of human-robot interaction (HRI) and healthcare automation, with a particular focus on making technology accessible in Bengali-speaking communities. His most-cited work, "Human-Robot Interaction in Bengali language for Healthcare Automation integrated with Speaker Recognition and Artificial Conversational Entity" (2021, 3 citations), introduces a novel architecture that combines speaker recognition with an artificial conversational entity to enable seamless, voice-driven healthcare services. This system was designed to address critical challenges during the COVID-19 pandemic, reducing physical contact between health workers and patients while maintaining high-quality care. Samin’s contributions lie in bridging natural language processing, robotics, and telemedicine, creating culturally and linguistically inclusive solutions. His research demonstrates how AI-powered conversational agents can be tailored to low-resource languages, expanding the reach of smart healthcare. Through this work, Samin highlights the potential of HRI to transform medical assistance in underserved regions, offering a scalable model for future pandemic response and chronic disease management.
Research Focus
Key Achievements
Top Papers
- 1