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About

Zilong Dong is a multidisciplinary researcher working at the dynamic intersection of neuromorphic sensing, embodied intelligence, and computer vision. His work spans two compelling frontiers: biologically inspired artificial sensory systems and multi-modal perception for robotics and autonomous systems. In the realm of neuromorphic and flexible electronics, Dong has made significant contributions developing cutting-edge sensory technologies that mimic human perception. His neuro-inspired thermoresponsive nociceptor (48 citations) and all-textile pressure sensors (20 citations) demonstrate his ability to translate biological principles into functional wearable devices. His more recent work on closed-loop haptic-thermal perception using memristor-based spiking neurons represents a bold step toward embodied neuromorphic intelligence, enabling adaptive human-robot interaction beyond visual feedback. On the computer vision side, Dong has tackled fundamental challenges in autonomous systems, including multi-camera and LiDAR calibration (32 citations), visual relocalization in large-scale indoor environments, and open-vocabulary object pose estimation — work with direct implications for augmented reality and robotic manipulation. With papers published across top venues and accumulating over 125 citations in just a few years, Dong is rapidly establishing himself as an innovative voice bridging hardware-level sensing and intelligent perception systems — an increasingly vital combination in the age of embodied AI.