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Amr Mahmoud

Assistant Professor
LinkedIn Google Scholar Electrical and Computer Engineering

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PhD, University of Pittsburgh, 2015 - 2019

MSc, Cairo University, 2012 - 2015

BSc, Cairo University, 2006 - 2011

Hassan, A.M., Fahmy, H.A.H., & Rafat, N.H. (2016). Enhanced Model of Conductive Filament-Based Memristor via Including Trapezoidal Electron Tunneling Barrier Effect. IEEE TRANSACTIONS ON NANOTECHNOLOGY, 15(3), 484-491.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNANO.2016.2546686.

Zaghloul, M.A.S., Hassan, A.M., Carpenter, D., Calderoni, P., Daw, J., & Chen, K.P. (2019). Optical Sensor Behavior Prediction using LSTM Neural Network. In 2019 IEEE Photonics Conference (IPC).IEEE. doi: 10.1109/ipcon.2019.8908337.

Hassan, A.M., Li, H.H., & Chen, Y. (2017). Hardware implementation of echo state networks using memristor double crossbar arrays. In 2017 International Joint Conference on Neural Networks (IJCNN), 2017-May, (pp. 2171-2177).IEEE. doi: 10.1109/ijcnn.2017.7966118.

Hassan, A.M., Yang, C., Liu, C., Li, H.H., & Chen, Y. (2017). Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays. In Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, (pp. 776-781).IEEE. doi: 10.23919/date.2017.7927094.

Yan, B., Mahmoud, A.M., Yang, J.J., Wu, Q., Chen, Y., & Li, H.H. (2016). A neuromorphic ASIC design using one-selector-one-memristor crossbar. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016-July, (pp. 1390-1393).IEEE. doi: 10.1109/iscas.2016.7527509.