- paper accepted by 2024 IEEE International Symposium on Biomedical Imaging(ISBI) - 2023年科技論文競賽 [Scientific Paper Competition] - 佳作 paper accepted by 2022 IEEE International Conference on Big Data Special session 5th Special Session on HealthCare Data - 2022年科技論文競賽 [Scientific Paper Competition] - 佳作 -Assisted Korean professors in bilingual communication, translating academic documents and official correspondence to facilitate international collaboration. - Contributed to a National Science and Technology Council (NSTC) project, leveraging expertise in Matlab and Python for data analysis and project execution. Case 1: Collaborated with Taipei Medical University Utilized Python to preprocess EEG data and developed a U-Net deep learning model for data training, enhancing the accuracy of signal analysis. Case 2: Collaborated with National Cheng Kung University Applied Matlab to preprocess EEG data, converting numerical values into spectrograms for image-based analysis. Implemented a Convolutional Neural Network (CNN) to train the generated images. Case 3: Applied various feature selection methods to transform 1D COVID cough data into 1D features. Trained the refined dataset using deep learning models to develop an effective classification system.