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Dar, M. N., Akram, M. U., Yuvaraj, R., Khawaja, S. G., & Murugappan, M. (2022). EEG- based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning. Computers in Biology and Medicine, 144, 105327. (Impact Factor: 6.7) https://doi.org/10.1016/j.compbiomed.2022.105327Dar, M. N., Akram, M. U., Khawaja, S. G., & Pujari, A. N. (2020). CNN and LSTM-based emotion charting using physiological signals. Sensors, 20(16), 4551. (Impact Factor: 4.6) https://doi.org/10.3390/s20164551Adnan, M., Sardaraz, M., Tahir, M., Dar, M. N., Alduailij, M., & Alduailij, M. (2022). A Robust Framework for Real-Time Iris Landmarks Detection Using Deep Learning. Applied Sciences, 12(11), 5700. (Impact Factor: 2.8) https://doi.org/10.3390/app12115700 Dar, M. N., Khan, A. A., Khawaja, S. G., Subhani, A. R., Safder.S.N.-U.H. , Akram M/U., Dar, M. N., Khan, A. A., Khawaja, S. G., Subhani, A. R.,Niazi, I. K., & Gul, S. Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain. Biomedical Signal Processing and Control, 83, 104605 (Impact Factor: 5.1). https://doi.org/10.1016/j.bspc.2023.104605 International Conference PublicationsDar, M. N., Rahim, A., Akram, M. U., Khawaja, S. G., & Rahim, A. (2022, May). YAAD: Young Adult’s Affective Data Using Wearable ECG and GSR sensors. In 2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2) (pp. 1-7). IEEE. 10.1109/ICoDT255437.2022.9787465Dar, M. N., Akram, M. U., Shaukat, A., & Khan, M. A. (2015, August). ECG based biometric identification for population with normal and cardiac anomalies using hybrid HRV and DWT features. In 2015 5th International Conference on IT Convergence and Security (ICITCS) (pp. 1-5). IEEE. 10.1109/ICITCS.2015.7292977Dar, M. N., Akram, M. U., Usman, A., & Khan, S. A. (2015, November). ECG biometric identification for general population using multiresolution analysis of DWT based features. In 2015 Second International Conference on Information Security and Cyber Forensics (InfoSec) (pp. 5-10). IEEE. 10.1109/InfoSec.2015.7435498Najam, Z., Dar, M. N., Qadri, M. Y., Najam, S., & Ahmed, J. (2016, December). Architectural Enhancement of LEON3 Processor for Real Time and Feedback Applications. In 2016 International Conference on Frontiers of Information Technology (FIT) (pp. 29-34). IEEE. 10.1109/FIT.2016.014 Rahim, A., Sagheer, A., Nadeem, K., Dar, M. N., Rahim, A., & Akram, U. (2019,October). Emotion charting using real-time monitoring of physiological signals. In 2019 International Conference on Robotics and Automation in Industry (ICRAI) (pp. 1-5).IEEE. 10.1109/ICRAI47710.2019.8967398Published Dataset: Young Adult's Affective Data (YAAD) of ECG and GSR Signals (Downloads: 7k+) DOI: 10.17632/g2p7vwxyn2.4