Anitha Ponraj

Sathyabama Institute of Science and Technology

Papers

Total Citations

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About

Anitha Ponraj is a researcher at the forefront of applied artificial intelligence, with a primary focus on deep learning and its integration with human activity recognition. Her most-cited work, "Self-Intelligence with Human Activities Recognition Based in Convolutional Neural Network" (2020), has garnered 3 citations and explores how neural network architectures—inspired by the human brain—can process vast datasets through multiple layers of nonlinear transformation. This contribution underscores her commitment to advancing machine learning methodologies that enable systems to learn from and interpret complex human behaviors in real time. Ponraj’s research bridges the gap between theoretical deep learning models and practical, intelligent systems capable of autonomous decision-making. Her work holds significant promise for applications in healthcare monitoring, smart environments, and assistive technologies, where accurate activity recognition is critical. By leveraging convolutional neural networks, she has helped pave the way for more intuitive and responsive AI systems. Ponraj’s growing citation impact reflects the relevance of her contributions to the broader AI community, positioning her as a dedicated scholar whose innovations continue to inspire further exploration in human-centered computing and intelligent automation.