Deep Kothadiya
Papers
1
Total Citations
57
H-Index
1
About
Deep Kothadiya is a rising researcher at the intersection of explainable artificial intelligence (XAI) and human-computer interaction, with a primary focus on sign language recognition. His most notable contribution is the development of "SignExplainer," an innovative framework that integrates ensemble learning with explainable AI to make sign language recognition systems both highly accurate and interpretable. This work, published in 2023 and already garnering 57 citations, addresses a critical gap in assistive technology by ensuring that AI-driven communication tools are transparent and trustworthy for users. Kothadiya’s research leverages deep learning advances in computer vision and natural language processing, demonstrating how ensemble methods can outperform traditional machine learning approaches in complex recognition tasks. By prioritizing explainability alongside performance, his work has significant implications for accessibility, enabling more reliable and user-centered AI systems for the deaf and hard-of-hearing community. As an emerging scholar, Kothadiya is shaping the future of inclusive AI, where cutting-edge technology meets ethical responsibility.
Research Focus
Key Achievements
Top Papers
- 1