Mridul Banik
Papers
1
Total Citations
14
H-Index
1
About
Mridul Banik is a researcher at the forefront of natural language processing and human-robot interaction, with a particular focus on low-resource languages. His most-cited work, "Embedded System based Bangla Intelligent Social Virtual Robot with Sentiment Analysis" (2018, 14 citations), addresses a critical gap in conversational AI by developing the first social virtual robot capable of intelligent communication in Bangla—a language spoken by over 230 million people worldwide. Banik’s major contribution lies in overcoming the dual challenges of scarce text corpora and limited prior research in Bangla language processing, integrating sentiment analysis to enable emotionally aware interactions. This pioneering effort not only advances inclusive AI but also lays the groundwork for future work in underrepresented languages. His research demonstrates how embedded systems can democratize access to intelligent virtual agents, making technology more accessible to non-English speakers. Banik’s work stands as a vital step toward linguistic equity in AI, inspiring further exploration into culturally and linguistically diverse human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1