Publications

Journal Papers

• P. Williams, I. Dutta, H. Daoud and M. A. Bayoumi, “A Survey on Security in Internet of Things with a Focus on the Impact of Emerging Technologies,” Internet of Things, vol. 19, no. 100564, 2022.

• H. Daoud and M. A. Bayoumi, “Deep Learning Approach for Epileptic Focus Localization,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 2, pp. 209-220, Apr. 2020.

• H. Daoud and M. A. Bayoumi, “Efficient Epileptic Seizure Prediction based on Deep Learning,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 5, pp. 804-813, Oct. 2019.

• Toraih E. A., Fawzy M. S., Elgazzaz M. G., Hussein M. H., Shehata R. H., Daoud H.,    “Combined Genotype Analyses of Precursor miRNA-196a2 and -499a Variants with Hepatic and Renal Cancer Susceptibility a Preliminary Study,” in Asian Pacific Journal of Cancer Prevention: APJCP, vol. 17, no. 7, pp. 3369-3375, 2016.

• H. Daoud and H. F. Ragai, “Mechanomyogram Signal Detection and Decomposition: Conceptualization and Research Design,” in International Journal of Healthcare Technology and Management, vol.13, No.1/2/3, pp. 32- 44, 2012.  

Peer-Reviewed Conference Papers

• H. Daoud and M. A. Bayoumi, “Generative Adversarial Network Based Semi-supervised Learning for Epileptic Focus Localization,” in Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston, TX, USA 2021.

• H. Daoud and M. A. Bayoumi, “A Convolutional Gated Recurrent Neural Network for Seizure Onset Localization,” in Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020.

• H. Daoud, Phillip Williams and M. A. Bayoumi, “IoT Based Efficient Epileptic Seizure Prediction System Using Deep Learning,” in Proc. of IEEE World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020.

• Phillip Williams, Indira Dutta, H. Daoud and M. A. Bayoumi, “Security Aspects in Internet of Things – A Survey,” in Proc. of IEEE World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020.

• H. Daoud and M. A. Bayoumi, “Semi-Supervised Learning for Epileptic Focus Localization Using Deep Convolutional Autoencoder,” in Proc. of IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 2019.

• H. Daoud and M. A. Bayoumi, “Deep Learning based Reliable Early Epileptic Seizure Predictor,” in Proc. of IEEE Biomedical Circuits and Systems Conference (BioCAS), Cleveland, OH, USA, 2018.

• A. M. Abdelhameed, H. Daoud and M. A. Bayoumi, “Epileptic Seizure Detection using Deep Convolutional Autoencoder,” in Proc. of IEEE International Workshop on Signal Processing Systems (SiPS), Cape Town, South Africa, 2018.

• H. Daoud, A. M. Abdelhameed and M. A. Bayoumi, “FPGA Implementation of High Accuracy Automatic Epileptic Seizure Detection System,” in Proc. of 61st IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Windsor, ON, Canada, 2018.

• A. M. Abdelhameed, H. Daoud and M. A. Bayoumi, “Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection,” in Proc. of 16th IEEE International New Circuits and Systems Conference (NEWCAS), Montreal, QC, Canada, 2018.

• H. Daoud, A. M. Abdelhameed and M. A. Bayoumi, “Automatic epileptic seizure detection based on empirical mode decomposition and deep neural network,” in Proc. of 14th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), Batu Feringghi, Malaysia, 2018.

• H. Daoud, H. F. Ragai and H. El Shahaly, “Mechanomyographic Signal Analysis for Biceps Brachii Based on Empirical Mode Decomposition,” in Proc. of International Conference on Electronics and Communication Engineering, Paris, France, 2013.