Zhibo Zhang
Computer Science
Research Topic: Accurate Shape Monitoring Using a Flexible Inductive Sensor Array and BiLSTM-Based Reconstruction
Research Poster Located in the Neighborhood Engagement Centers
Research Summary:
Zhibo Zhang’s research project focused on accurate shape monitoring using a flexible inductive sensor array and an AI-based reconstruction method. The goal of the project was to estimate bending deformation and reconstruct the shape of flexible structures from multi-channel inductive sensor responses. The results showed that the BiLSTM-based method achieved high reconstruction accuracy and outperformed other learning-based models, including RNN, GRU, and 1D-CNN, as well as a physics-based reconstruction method.
