Zhubing Lei

Suzhou University of Science and Technology, University of Science and Technology of China

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About

Zhubing Lei’s research bridges robotics, bio-inspired sensing, and biomedical engineering, with a focus on odor source localization and automated molecular diagnostics. In their seminal 2018 work, Lei introduced the “olfaction threshold-based thought of micro-steps accumulation,” drawing on lower organisms’ mate-seeking behaviors to design a ground-based mobile robot capable of searching for underground odor sources. By analyzing the limitations of olfactory organs and how odor concentration gradients trigger threshold responses, Lei developed a novel algorithm that enables robots to accumulate incremental micro-movements toward a target—a concept with direct applications in environmental monitoring and hazardous material detection. This paper has garnered 8 citations, establishing a foundation for bio-inspired robotics. More recently, Lei contributed to biomedical innovation with a 2022 study on an automated nucleic acid extraction system for formalin-fixed paraffin-embedded samples, employing high-intensity focused ultrasound technology. This work, with 4 citations, addresses a critical bottleneck in pathology and genomics by streamlining sample preparation. Together, Lei’s research demonstrates a unique ability to translate biological principles into practical engineering solutions, impacting both autonomous systems and clinical diagnostics.