Yi Zhao

I'm extending biometric recognition frameworks to EEG signals at Macao Polytechnic University, including multimodal EEG-based epilepsy detection and prediction. I develop cross-session authentication approaches using multi-domain EEG features, Compact Data Learning, XGBoost, LSTM, and CNN models.

Previously, at Lingyange Semiconductor Incorporated, I built machine-learning ECG signal-processing algorithms for embedded cardiovascular monitoring. I developed pipelines for denoising, baseline correction, heartbeat segmentation, feature extraction, and signal-quality assessment, then deployed LSTM-based rhythm-classification models on resource-constrained devices.

My published work covers ECG authentication, EEG authentication, and gait-based identification using machine learning and Compact Data Learning. My master's thesis focused on system engineering approaches for novel machine-learning biometric authentication systems.

I've also built IoT automation, edge face-recognition, network intrusion-detection, warehouse-management, and data-visualization systems using Python, Java, Spring Boot, MySQL, Flask, Vue, and embedded-device tooling.