N. Karthikeyan
Papers
2
Total Citations
7
H-Index
2
About
N. Karthikeyan is a researcher at the forefront of applying deep learning to intellectual property and robotics. His primary research focuses on developing advanced classification models for patent searches, specifically within the rapidly evolving service robotics domain. By leveraging deep learning approaches, Karthikeyan has created innovative frameworks that improve the accuracy and efficiency of patent retrieval and categorization—a critical need for researchers and industries navigating dense technical landscapes. His most influential work, "Patent Search Classification Model for Service Robots Field Using Deep Learning Approach," published in 2024, has already garnered 4 citations, signaling its immediate relevance and impact. A subsequent related publication has also attracted 3 citations, further cementing his contribution to this niche. Karthikeyan’s work bridges artificial intelligence and intellectual property law, offering tools that streamline innovation by making prior art more accessible. His achievements are particularly notable for their timeliness, addressing the surge in service robot patents as automation and AI reshape industries. For students and researchers, Karthikeyan exemplifies how deep learning can solve practical, high-stakes problems in knowledge management and technology forecasting.
Research Focus
Key Achievements
Top Papers
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- 2