Convolutional Autoencoder for Real-Time PPG Based Blood Pressure Monitoring Using TinyML. - Noor Faris Ali; Mousa Hussein; Falah Awwad; Mohamed Atef (ICM, 2023)

An efficient hybrid LSTM-ANN joint classification-regression model for PPG based blood pressure monitoring. - Noor Faris Ali; Mohamed Atef (Biomed. Signal Process. Control., 2023)

Non-Invasive Continuous Real-Time Blood Glucose Estimation Using PPG Features-based Convolutional Autoencoder with TinyML Implementation. - Noor Faris Ali; Alyazia Aldhaheri; Bethel Wodajo; Meera Alshamsi; Shaikha Alshamsi; Mohamed Atef (ISCAS, 2024)

A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection. - Noor Faris Ali; Nabil Albastaki; Abdelkader Nasreddine Belkacem; Ibrahim M. Elfadel; Mohamed Atef (IEEE Access, 2024)

Multi-datasets transfer multitask learning for simultaneous blood glucose and blood pressure monitoring using common PPG features. - Noor Faris Ali; Ibrahim M. Elfadel; Mohamed Atef (Comput. Biol. Medicine, 2025)