About Me

Hello! I’m Guangzong Chen, currently pursuing a Ph.D. in Electrical and Computer Engineering at the University of Pittsburgh. I hold a B.S. in Automation from the Beijing Institute of Technology.

Research and Experience

As a Research Assistant at the University of Pittsburgh, I have worked on innovative projects such as:

• Constrained Food Image Generation: Developed a generative model using GANs for automatic dietary assessment, achieving over 93% IoU.
• Food Image Classification: Created a system for classifying African food images with 90% accuracy using probabilistic inference, SVM, and neural networks.
• Neural Network Analysis: Investigated framelet-based mathematical methods for enhanced explainability in AI.

During my internship at Nimbus Robotics, I contributed to:

• Motor Controller Development: Designed a motor controller using Field-Oriented Control (FOC) for wearable devices.
• Version Control System: Collaborated on a Git-based system improving workflow efficiency by ~20%.

Technical Skills

• Programming Languages: C/C++, Python, MATLAB, Rust
• Specialties: Embedded Systems, Algorithms, RTOS, Circuit Design, Communication Protocols (I2C, SPI, UART, USB, eMMC)

Publications

• “Shape-Preserving Generation of Food Images for Automatic Dietary Assessment,” CVPR, 2024.
• “Image-based volume estimation for food in a bowl,” Journal of Food Engineering, Jul. 2024.
• “Improved Wearable Devices for Dietary Assessment Using a New Camera System,” Sensors, Oct. 2022.
• “Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features,” Frontiers in Artificial Intelligence, Apr. 2021.

Personal Projects

• Serial Communication Tool: Developed a tool using Rust for USART communication with superior stability and speed.
• STM32 HAL Development: Designed a user-friendly hardware abstraction layer in Rust for motor controllers.

Thank you for visiting my blog! Feel free to reach out if you have any questions or want to connect.