XICHENG CHEN

Title: Deep Learning-based Analysis of Microscopic IC Images for Hardware Security

• Trained and optimized a deep learning neural network for IC image quality assessment, capable of automatically identifying defects, noise, and quality degradation in IC images.
• Independently collected and built an IC image quality assessment dataset, including images from different manufacturing processes, exposure conditions, and defect types.

• Trained AI models for interactive service robots to optimize speech interaction and natural language processing capabilities.
• Designed and built a knowledge base to improve the robot's understanding and response to user needs. Expanded the knowledge base by 20%, enhancing the database's comprehensiveness.
• Participated in scenario analysis and solution development to enhance user experience. Improved speech recognition accuracy by 30% through dialogue model optimization.

Title: Distributed Radar Echo Modeling and ISAR Imaging

• Investigated the research status of distributed radar echo modeling and ISAR imaging technology.
• Used electromagnetic simulation software FEKO to calculate the radar echoes of satellite targets。
• Processed the echo data obtained from FEKO in MATLAB.
• Implemented high-resolution imaging of satellite targets using the ISAR imaging algorithm, specifically the Range-Doppler algorithm.

Title: Millimeter-wave Radar Imaging Design Based on ZYNQ Platform

• Processed millimeter-wave radar imaging data, including echo signal preprocessing, time-frequency analysis, filtering enhancement, and background suppression to improve image quality.
• Labeled target images and compiled training datasets.
• Designed and optimized target detection and feature extraction algorithms to enhance the discriminative ability of imaging data.