• Side project for carpooling service with Node.js, Express.js, GCP

• Deep Metric Learning, Few Shot Learning, Face Recognition, Face Attribute Analysis, Image Retrieval, Image Captioning

• Designed a minimum viable product CrypTeacher, an explainable AI crypto price predicting bot.• Coordinated the group as team lead to win first place for our product on demo day.

• Supervised by Dr. Shun-Jie Lin and Dr. Chi-Chun Xia in Artificial Intelligence Application Department.• Time Series Regression, Anomaly Detection, Soft Sensor• Time Series Modeling using CNN, LSTM, GNN, GAN, Transformer

• Advised by Prof. Jing-Huey Shao to apply statistical and ML research(e.g., clustering, regression, and sentiment analysis) on law-related tasks.

• Advised by Prof. Pei-Fang Su, collaborating with NCKU Hospital to conduct research and experiment projects on Lung Adenocarcinoma analysis.• Developed Deep Learning and multimodal method for Survival Analysis.• Constructed an interacted dashboard to provide insight from the DL model(Explainable AI).

• Advised by Prof. Tz-Cheng Chiu in Applied Solid Mechanics and Electronic Packaging Lab.• Evaluated technical problems and built two robust models to boost manufacturing efficiency of Laser Center in Industrial Technology Research Institute.