Ms. Sowmiya Sree is an emerging researcher in the domains of cybersecurity, machine learning, computer vision, and edge computing, with a growing portfolio of interdisciplinary contributions. She has authored and co-authored 1 indexed document reflecting an early-stage yet promising research trajectory. Her work focuses on applying supervised machine learning algorithms for cyberattack detection and perpetrator prediction, alongside innovative studies in cellular automata-based cryptographic S-box design, QoS monitoring in edge computing environments, and physiognomy recognition using convolutional neural networks. In addition to journal and conference publications, she has contributed to multiple patents, including intelligent IoT-based healthcare solutions, AI-driven cyberattack mitigation devices, and smart city traffic management systems using computer vision. Her research demonstrates a strong inclination toward real-world problem solving through advanced computational techniques and emerging technologies