Navaneetha Krishnan Kamalakannan
AI & technical writer making complex tech easy to grasp.
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Navaneetha Krishnan is ready for their next project!
Real-Time Neuromorphic Spectrum Intelligence Simulator: Developed a real-time software simulator for neuromorphic spectrum intelligence, exploring AI-driven approaches to wireless spectrum sensing and decision-making. The project combines signal-processing concepts with machine-learning and neuromorphic computing techniques to model intelligent spectrum behavior. The work was independently authored and presented at the NeurIPS ML4PS Workshop in 2025.
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HYPERNET Mission Control — Space–Air–Ground Network Operations: Built a 3D real-time mission-control interface integrating satellite, UAV, and ground-network layers for space–air–ground communications. The platform combines live telemetry visualization with reinforcement learning, federated learning, and Random Linear Network Coding (RLNC) for intelligent network monitoring and optimization. Developed as an interactive software prototype using Replit, with a focus on real-time visualization, network intelligence, and scalable architecture.
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APC-RLNC: Adaptive Peer Clustering & Network Coding - Developed an adaptive Random Linear Network Coding system with EWMA-based peer scoring, distributed clustering, and redundancy optimization for vehicular networks. Built edge components across Python, C++, and Go, achieving 99.32% packet delivery ratio, 145 ms latency, and 12.7% lower energy consumption.
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Ionic Wind Energy Harvesting for Microscale Devices: Investigated a novel ionic-wind electrode design for improving energy-harvesting efficiency in microscale devices, with comparison against piezoelectric energy harvesting. The research was published by Springer in Lecture Notes in Networks and Systems in 2025.
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