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Developed a physics-based model of cockroach antennae (MuJoCo) to study how mechanical deflections generate neural responses for tactile perception. Validated model predictions against extracellular nerve recordings and used spiking neural networks (SNN) to classify tactile features, demonstrating efficient spike-based coding for tactile sensing. 
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This project investigates how insect-inspired physical intelligence can improve robotic tactile sensing by bioinspired computational models in MuJoCo and robophysical antennae.
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This project investigates how the structure and material properties of insect antenna shape tactile sensing. Through experiments, Micro-CT imaging, 3D reconstruction, and finite element modeling, I showed that the antenna flagellum functions as a kinematic chain system with regional specializations that enhance flexibility and prevent buckling. These findings provide a mechanistic framework linking antenna mechanics to proprioceptive strain sensing.
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Conducted experiments and data analysis on tethered flies to study compensatory flight mechanisms under wing damage. Acquired and processed 11 datasets, reconstructed 3D flight behavior for 16 flies, and derived wing Euler angles using custom reconstruction software. Contributed analysis supporting Dr. Wael Salem’s PhD dissertation on insect flight biomechanics.
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Designed adjustable-angle mounting for the LED arena and a temperature control saline system for the fly holder in the two-photon microscopy area.
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Designed innovative in-wheel driving electric wheel prototype for electric vehicles
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Reconstructions of head-injury events using computational models