Jiejun Wang

University of Electronic Science and Technology of China, Guilin University of Electronic Technology

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About

Dr. Jiejun Wang is a pioneering researcher at the intersection of neuromorphic engineering and intelligent robotics, with a primary focus on bioinspired sensory systems and adaptive machine intelligence. Dr. Wang’s most impactful contribution is the development of a memristor-based multimodal sensory memory system that enables robots to achieve sensory adaptation—a critical capability inspired by human neural processing. This breakthrough work, published in 2022 and garnering 18 citations, demonstrates how robots can gradually adjust their sensitivity to environmental stimuli based on recent experience, mirroring human habituation. In parallel, Dr. Wang has advanced industrial robotics through innovative calibration techniques, notably applying PSO-BP neural networks combined with finite element analysis to achieve precise 6-DOF positioning. This work, though with 2 citations, represents a practical contribution to manufacturing automation. Dr. Wang’s research elegantly bridges fundamental neuroscience principles with engineering applications, offering a pathway toward more adaptive, human-like robotic systems. Their work on sensory memory holds particular promise for prosthetics, human-robot interaction, and autonomous systems operating in dynamic environments, positioning Dr. Wang as a rising voice in neuromorphic robotics.