Saravanan Nathan Lurudusamy
Papers
2
Total Citations
4
H-Index
2
About
Saravanan Nathan Lurudusamy is a researcher focused on the intersection of artificial intelligence and natural language processing, with a particular emphasis on enhancing human-computer interaction. His key research area centers on improving the robustness and accuracy of conversational AI systems, specifically chatbots. His most notable contribution is the development of an innovative approach to typographic error identification and correction within chatbot frameworks. By leveraging an N-gram overlapping technique, his work directly addresses a critical challenge in user experience—ensuring that chatbots can accurately interpret and respond to user inputs despite common spelling mistakes and typos. This methodology, detailed in his 2022 paper, has garnered attention within the field, accumulating 2 citations as a foundational step toward more resilient dialogue systems. Lurudusamy’s research is particularly relevant for the business sector, where reliable AI-driven customer service is in high demand. His work contributes to making virtual agents more effective and user-friendly, bridging the gap between raw AI capability and practical, real-world application.
Research Focus
Key Achievements
Top Papers
- 1
- 2