Gaoqiang Niu

Southern University of Science and Technology

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About

Gaoqiang Niu is pioneering the intersection of neuromorphic engineering and space exploration, with a focus on radiation-hardened vision systems for autonomous robotics. His most notable contribution is the development of a radiation-hardened neuromorphic imager, featuring self-healing spiking pixels and a unified spiking neural network (USNN) for space robotics applications. This work addresses a critical challenge in deep-space missions: the vulnerability of conventional imagers to radiation-induced damage. By integrating in-pixel self-healing mechanisms and adaptive neurons, Niu’s design ensures robust, low-power, and real-time visual processing in extreme environments. His 2025 paper on this topic has already garnered 2 citations, signaling early impact in the emerging field of neuromorphic space systems. Niu’s research bridges hardware and algorithmic innovation, offering a fully spike-based architecture that mimics biological neural processing while withstanding harsh radiation. This work not only advances neuromorphic computing but also lays the groundwork for resilient, intelligent sensors in planetary rovers and orbital platforms. As a rising figure in neuromorphic engineering, Niu is shaping the future of autonomous space robotics with biologically inspired, fault-tolerant designs.