Hemant Kumar Meena

Malaviya National Institute of Technology Jaipur

Papers

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About

Hemant Kumar Meena is a rising researcher at the forefront of embedded systems and intelligent sensing, with a core focus on real-time object detection for autonomous and safety-critical applications. His most cited work, "FPGA-Based Real-Time Road Object Detection System Using mmWave Radar" (2025), has already garnered 8 citations, demonstrating immediate impact in the field. In this landmark study, Meena pioneered the integration of frequency modulated continuous wave (FMCW) millimeter-wave radar signals with the Python productivity for Zynq UltraScale+ MPSoCs (PYNQ-ZU) FPGA platform, enabling high-speed, low-latency road object detection. This contribution is particularly significant for advanced driver-assistance systems (ADAS) and autonomous vehicles, where real-time processing is paramount. By bridging the gap between radar sensing and reconfigurable hardware, Meena has addressed critical challenges in computational efficiency and deployment feasibility. His work exemplifies how FPGA-based architectures can unlock new capabilities in edge computing, making sophisticated perception systems accessible for real-world deployment. As an emerging authority in hardware-accelerated sensing, Meena continues to push boundaries at the intersection of radar signal processing and embedded AI.