S. M. Sassirekha

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About

S. M. Sassirekha is a prominent researcher in artificial intelligence, with a primary focus on deep learning methodologies and their real-world 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 the field. In this seminal paper, Sassirekha systematically categorizes the vast landscape of deep learning—from fundamental techniques to advanced architectures—while mapping out the taxonomy that helps researchers and practitioners navigate this rapidly evolving domain. She critically examines how deep learning has revolutionized fields ranging from computer vision to natural language processing, and provides forward-looking insights into emerging challenges and opportunities. Her work serves as an essential roadmap for students and researchers seeking to understand both the current state and future trajectory of deep learning. Through her clear synthesis of complex technical concepts and her identification of promising research directions, Sassirekha has made a lasting contribution to the AI community, helping to democratize knowledge and accelerate innovation in this transformative technology.