Xiayi Yao

• I recently earned my Bachelor of Engineering in Broadcast Television Engineering from Shanghai University of Engineering Science, building a solid foundation in digital signal processing, video technology, and media system design. I am now pursuing a Master of Artificial Intelligence (MAI) at the University of Canterbury, where my research continues to focus on deep-learning-based low-light image enhancement to improve image quality under challenging illumination. I aim to deepen my expertise in electrical and electronic engineering, particularly in image processing, computer vision, and AI-driven signal enhancement.
• Demonstrated strong learning ability, quickly adapting to new technologies and methodologies.
• Highly responsible and reliable, with a proven track record of meeting deadlines and maintaining high standards.
• Collaborative team player, experienced in working effectively within diverse groups to achieve shared goals.

IELTS Band 7.0

Low-light image enhancement using deep learning, Shanghai University of Engineering Science|Oct 2024 – May 2025 

Developed a deep learning-based image enhancement model to improve visibility in low-light conditions, focusing on image restoration and noise reduction, implemented convolutional neural networks (CNNs) and transformer-based architectures for feature extraction and enhancement, optimized training using PyTorch and TensorFlow, achieving significant performance improvements over traditional enhancement methods, and applied dataset preprocessing, augmentation, and hyperparameter tuning to improve model accuracy.

Shanghai High School Innovation Competition – Climbing Wheelchair Project, first prize winner|2021 (high school period)

Designed a conceptual climbing wheelchair based on a screw-slider mechanism to assist individuals in navigating stairs safely and efficiently, developed a prototype simulation using CAD and mechanical modeling software, presented findings to a panel of experts, and won first prize among 100+ teams for innovative design and practical application.