ECG Based Biometric Identification for Population with Normal and Cardiac Anomalies Using Hybrid HRV and DWT Features. - Muhammad Najam Dar; M. Usman Akram; Arslan Shaukat; Muazzam Ali Khan (ICITCS, 2015)

ECG biometric identification for general population using multiresolution analysis of DWT based features. - Muhammad Najam Dar; M. Usman Akram; Anam Usman; Shoab Ahmad Khan (InfoSec, 2015)

Architectural Enhancement of LEON3 Processor for Real Time and Feedback Applications. - Zohaib Najam; Muhammad Najam Dar; Muhammad Yasir Qadri; Shaheryar Najam; Jameel Ahmed (FIT, 2016)

CNN and LSTM-Based Emotion Charting Using Physiological Signals. - Muhammad Najam Dar; Muhammad Usman Akram; Sajid Gul Khawaja; Amit N. Pujari (Sensors, 2020)

EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. - Muhammad Najam Dar; Muhammad Usman Akram; Yuvaraj Rajamanickam; Sajid Gul Khawaja; M. Murugappan (Comput. Biol. Medicine, 2022)

Hybrid Deep Learning and Discrete Wavelet Transform-Based ECG Biometric Recognition for Arrhythmic Patients and Healthy Controls. - Muhammad Sheharyar Asif; Ch. Muhammad Shahzad Faisal; Muhammad Najam Dar; Monia Hamdi; Hela Elmannai; Atif Rizwan; Muhammad Abbas 005 (Sensors, 2023)

Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain. - Syeda Noor-Ul-Huda Safder; Muhammad Usman Akram; Muhammad Najam Dar; Aliya Ashraf Khan; Sajid Gul Khawaja; Ahmed Rauf Subhani; Imran Khan Niazi; Sarah Gul (Biomed. Signal Process. Control., 2023)