V. Mohana Sundari

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About

V. Mohana Sundari is a leading researcher in artificial intelligence, with a primary focus on deep learning architectures and their transformative applications. Her most influential work, the comprehensive survey "Deep Learning: Techniques, Taxonomy, Applications, and Future Directions" (2024), has already garnered 7 citations, establishing her as a key voice in synthesizing the rapidly evolving landscape of AI. In this seminal paper, Sundari systematically categorizes deep learning methodologies—from convolutional and recurrent networks to generative models—while mapping their real-world impact across domains such as computer vision, natural language processing, and healthcare. Her contribution lies not only in clarifying the technical taxonomy but in critically evaluating the field's trajectory, identifying bottlenecks like data efficiency and interpretability. By bridging foundational theory with practical deployment challenges, Sundari’s work serves as an essential roadmap for both newcomers and seasoned researchers. Her ability to distill complex trends into actionable insights underscores her role as a thought leader shaping the next generation of intelligent systems.