23 citations · 32 across the 8 of their papers we have counts for
11 papers
In-memory Associative Processors: Tutorial, Potential, and Challenges
Mohammed E. Fouda, Hasan Erdem Yantir, Ahmed M. Eltawil +1
In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such para…
Efficient Noise Mitigation Technique for Quantum Computing
Ali Shaib, Mohamad H. Naim, Mohammed E. Fouda +2
Quantum computers have enabled solving problems beyond the current computers' capabilities. However, this requires handling noise arising from unwanted interactions in these system…
Resistive Neural Hardware Accelerators
Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi +2
Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techniques, entail that real-world data can be learned and that decisions can be made in real-time. However, their…
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi +2
Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity. Althou…
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays
Melika Payvand, Mohammed Fouda, Fadi Kurdahi +2
Recent breakthroughs suggest that local, approximate gradient descent learning is compatible with Spiking Neural Networks (SNNs). Although SNNs can be scalably implemented using ne…
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective
M. E. Fouda, F. Kurdahi, A. Eltawil +1
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adapta…
The Information Processing Factory: Organization, Terminology, and Definitions
Eberle A. Rambo, Bryan Donyanavard, Minjun Seo +9
The Information Processing Factory (IPF) project has recently introduced the abstraction of complex architectures as self-aware information processing factories. These factories co…
Non-Stationary Polar Codes for Resistive Memories
Marwen Zorgui, Mohammed E. Fouda, Zhiying Wang +2
Resistive memories are considered a promising memory technology enabling high storage densities with in-memory computing capabilities. However, the readout reliability of resistive…
On Resistive Memories: One Step Row Readout Technique and Sensing Circuitry
Mohammed E Fouda, Ahmed M. Eltawil, Fadi Kurdahi
Transistor-based memories are rapidly approaching their maximum density per unit area. Resistive crossbar arrays enable denser memory due to the small size of switching devices. Ho…
Physical Multi-Layer Phantoms for Intra-Body Communications
Ahmed E. Khorshid, Ibrahim N. Alquaydheb, Ahmed M. Eltawil +1
This paper presents approaches to creating tissue mimicking materials that can be used as phantoms for evaluating the performance of Body Area Networks (BAN). The main goal of the…
State Dependent Statistical Timing Model for Voltage Scaled Circuits
Aras Pirbadian, Muhammad S. Khairy, Ahmed M. Eltawil +1
This paper presents a novel statistical state-dependent timing model for voltage over scaled (VoS) logic circuits that accurately and rapidly finds the timing distribution of outpu…