Researcher 03/2023–8/2024

Participated in the "Guangdong Province Educational Science Planning Project (Higher Education Specialization)" and

iFlytek's project "Research and Practice on AI-Enabled Classroom Teaching Skills Training for Pre-Service Teachers."

• Constructed and optimised a deep knowledge tracking network for conducting multimodal course tracking and analysis, achieving 1.12% and 1.75% improvements in AUC and ACC over baseline models, outperforming similar models.

• Assembled and preprocessed a large educational data set by collecting student reflections and practical results for a five-semester period using Python.

• Designed and implemented a recommendation system offering personalized learning resources based on model predictions, supporting student learning at different stages

Researcher 06/2023–08/2023

• Developed Efficientnet-B7 convolutional neural network using PS-KD algorithm to evaluate driver status.

• Optimised evaluation accuracy by utilising test time augmentation (TTA) for data enrichment.

• Accelerated formulation process for relative codes and models, achieving recognition accuracy of 99.96%.

• Took responsibility for model code testing, including development of testing script and algorithm introduction.

Project Manager 03/2023–08/2023

• Presented improvements to facial expression recognition model on Real-world Affective Faces Database (RAF-DB), increasing recognition accuracy by 3% compared to other approaches.

• Monitored and assisted with the development of an automatic monitoring system for abnormal detection using PyQt framework based on YOLOv5 and revised Self-Cure Net.

• Oversaw development of target system, including formulating performance test reports and technical documents for functional introduction.