S. Kannadhasan

Papers

Total Citations

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About

S. Kannadhasan is a prominent researcher at the intersection of the Internet of Things (IoT) and advanced medical imaging. His work is defined by two key areas: enabling intelligent machine-to-machine communication and applying deep learning for critical healthcare diagnostics. His highly cited 2022 review, “Machine to machine communication enabled internet of things: a review” (28 citations), established foundational insights into how connected devices—from vehicles to building automation—will evolve from simple sensors to systems with full controlling capabilities, shaping the future of smart infrastructure. In the biomedical domain, Kannadhasan has made significant contributions to automated cancer detection. His 2025 paper on “Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16” (18 citations) demonstrates a powerful application of deep learning. By leveraging the VGG16 architecture, his work provides a robust framework for accurately identifying brain tumors from MRI scans, directly addressing the critical need for faster, more reliable diagnostic tools. This research highlights the transformative potential of AI in radiology. With a growing citation footprint that underscores the timeliness and utility of his work, Kannadhasan is a key voice bridging the gap between pervasive IoT systems and life-saving medical technologies.