Zirui Lin

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About

Zirui Lin is a researcher at the forefront of embedded systems and robot audition, with a focus on low-power hardware acceleration for real-time audio processing. His key research areas include field-programmable gate array (FPGA) design, sound source localization, and edge computing optimization. Lin’s major contribution is the development of an FPGA-based low-power acceleration framework for HARK, an open-source robot audition software, which addresses the computational bottleneck of massive matrix operations in sound source localization. By offloading these operations to reconfigurable hardware, his work significantly reduces processing time on resource-constrained edge devices, enabling real-time performance without sacrificing energy efficiency. His most-cited paper, "FPGA-based Low Power Acceleration of HARK Sound Source Localization" (2024), has garnered 4 citations, marking an early but promising impact in the field. This achievement highlights Lin’s ability to bridge software and hardware design, offering a practical solution for autonomous robots and smart devices. His work is particularly notable for its potential to democratize advanced audition capabilities in low-power systems, making him a rising voice in embedded AI and robotics.