B. Pannalal
Papers
2
Total Citations
9
H-Index
2
About
B. Pannalal is a researcher whose work bridges two critical frontiers in modern computing: securing the Internet of Things (IoT) and understanding human behavior through deep learning. In their most cited paper, "A Blockchain-based Approach for Securing Network Communications in IoT Environments" (2023, 6 citations), Pannalal proposes a novel framework that leverages blockchain’s decentralized ledger to protect vulnerable IoT networks from cyber threats—a timely contribution as billions of connected devices reshape our world. This work demonstrates how distributed trust can be engineered into low-power, heterogeneous systems. Complementing this, their review "Pedestrian Behavior Analysis and Trajectory Prediction with Deep Learning" (2022, 3 citations) synthesizes cutting-edge techniques for anticipating human movement, a cornerstone for autonomous vehicles and smart city infrastructure. By distilling complex models into actionable insights, this review serves as a vital resource for researchers tackling real-world navigation challenges. Though early in their career, Pannalal’s dual focus on security and predictive analytics signals a versatile thinker poised to shape safer, smarter environments. Their publications in the peer-reviewed IJCERT journal underscore a commitment to accessible, high-impact research that addresses pressing societal needs.
Research Focus
Key Achievements
Top Papers
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- 2