Master In SE

Dalian University of Technology | 2022 - 2025

I am a scholarship student at Dalian University of Technology (DLUT), pursuing a major in Software Engineering. My research area revolves around Classification of music preferences Using brain wave EEG data. where I aim to explore its innovative applications and potential impacts.

Bachelor In CST

Chongqing University of Technology | 2017 - 2021

I earned a Bachelor's degree in Computer Science and Technology from Chongqing University of Technology in summer 2021. While pursuing my degree, I also served as a Teacher's Assistant at the university, assisting in courses related to Object-Oriented Programming, Data Structures, and Algorithms. My expertise lies in C, JAVA, Python, and SQL.

Higher Secondary School Certificate

Muktagcha College | 2013 - 2015

• Higher math
• Biology
• Physics
• Chemistry

Research Assistant (EEG BrainWave)

Dalian University of Technology (Dalian, China) | 2022 - Till now

• Conducted EEG signal preprocessing and feature extraction (e.g., Power Spectral Density, Phase-Amplitude Coupling) to analyze brain activity during music listening.
• Developed dynamic network models using time-varying functional connectivity to decode subjective music appraisal from EEG data.
• Trained machine learning models (e.g., Support Vector Regression) to predict music liking scores based on neural correlates such as γ-rhythm receive centrality.
• Validated decoding performance across subjects and explored transferability to independent datasets (e.g., DEAP), demonstrating potential for real-world neuroadaptive music recommendation systems.

Teacher's Assistant (Computer Science and Technology)

Chongqing University of Technology (Chongqing, China) | 2020 / 02 - 2021 / 07

• Collaborated with Session Leader to facilitate classroom instruction and supported students' learning experience.
• Assessed and graded student assignments and classwork promptly.
• Provided guidance and assistance to students during practical exercises.
• Offered limited factual feedback to students and communicated observations to the Session Leader.