I earned my Bachelor of Engineering in Electrical Engineering from HCMIU, where my undergraduate dissertation focused on wearable platforms integrating Edge AI for continuous, real-time arrhythmia screening using single-lead II ECG.
I am currently completing my master's dissertation, extending this work toward fine-grained arrhythmia classification and multi-lead ECG analysis. As a Research Assistant, I work on wearable technologies, physiological signal processing, and biomedical signal analysis.
My research interests extend beyond wearable systems to include cloud computing, telemedicine, and cloud-integrated healthcare services using technologies such as AWS and MongoDB Atlas. I aim to develop not only theoretical research proposals, but also practical technologies that can support real-world healthcare applications.