S. Nagarajan
Papers
1
Total Citations
20
H-Index
1
About
Dr. S. Nagarajan is a leading researcher in computational intelligence and pattern recognition, with a primary focus on developing advanced deep learning frameworks for handwritten character recognition, particularly for Indian scripts like Telugu. Their most cited work, "An Intelligent Telugu Handwritten Character Recognition Using Multi-Objective Mayfly Optimization with Deep Learning–Based DenseNet Model" (2022, 20 citations), introduces a novel hybrid approach that combines multi-objective optimization with DenseNet architectures to achieve superior accuracy in recognizing complex handwritten characters. This contribution addresses critical challenges in assistive technologies for visually impaired individuals, human-robot interaction, and automated document processing. Dr. Nagarajan's research bridges the gap between optimization algorithms and deep neural networks, demonstrating how biologically inspired metaheuristics can enhance traditional convolutional neural network performance. Their work has significant implications for preserving and digitizing regional languages, enabling more inclusive technological solutions. By pioneering optimization-driven deep learning models for script recognition, Dr. Nagarajan continues to advance the frontiers of intelligent character recognition systems, making substantial contributions to both theoretical computer science and practical applications in accessibility technology.
Research Focus
Key Achievements
Top Papers
- 1