Hello everyone! My name is Min-Jiun. I just graduated from the Institute of Mathematical Modeling and Scientific Computing at NYCU in February, 2022. When I was a undergraduate student, I worked as a vice director of Mathematical Information Technology club to build my DL foundations. In addition, I had valuable experience when holding the DL-topic workshop, 2018 NCCUxPyDay, with my committee members. I was an intern at department of R&D in Akousist before enrolling in my graduate program. During my academic years at NYCU, I joined the Cognitive Engineering and Computational Neural Science Lab at department of Computer Science to do ML-related research of Electroencephalography. In addition, I was a teaching assistant of Brain-Computer Interface course at department of Computer Science, Machine Learning course at the Institute of Electrical and Control Engineering in NYCU. I am trained to be an open-minded, communicative, and cooperative student through these interdisciplinary experiences. My research topic is ML-based signal quality quantification of Electroencephalography, which is an essential but developed issue in the research field of Brain-Computer Interface.