Ahmed Abdelhameed
I am a computer science Ph.D. candidate and a graduate research assistant at the Informatics Research Institute, University of Louisiana. I have got my B.Sc degree in computer science and automatic control engineering from the Faculty of Engineering, Alexandria University, Egypt, in 2001. I have got an M.S. degree in Computer Engineering from the College of Engineering and Technology - Arab Academy for Science, Technology, and Maritime Transport (AAST), Egypt, 2011. I have also got an M.S. degree in computer science from the University of Louisiana at Lafayette in 2016. I have more than 15 years of professional experience in many roles as a senior systems engineer, a software developer, and a teaching assistant. My research focus is on designing machine learning algorithms and deep learning-based systems for automating medical diagnosis. My case study is epileptic seizures' detection and prediction using EEG raw signals.
Publications:
- A. M. Abdelhameed and M. Bayoumi, “Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1922 1926, 2019.
- A. M. Abdelhameed and M. Bayoumi, “Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction,” 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018.
- A. M. Abdelhameed, H. G. Daoud, and M. Bayoumi, “Epileptic Seizure Detection using Deep Convolutional Autoencoder,” 2018 IEEE International Workshop on Signal Processing Systems (SiPS), 2018.
- H. G. Daoud, A. M. Abdelhameed, and M. Bayoumi, “FPGA Implementation of High Accuracy Automatic Epileptic Seizure Detection System,” 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 2018.
- A. M. Abdelhameed, H. G. Daoud, and M. Bayoumi, “Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection,” 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), 2018
- H. G. Daoud, A. M. Abdelhameed, and M. Bayoumi, “Automatic epileptic seizure detection based on empirical mode decomposition and deep neural network,” 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), 2018.