446 citations · 958 across the 37 of their papers we have counts for
41 papers
Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
Olga Krestinskaya, Mohammed E. Fouda, Ahmed Eltawil +1
Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perfor…
Index Modulation for Integrated Sensing and Communications: A Signal Processing Perspective
Ahmet M. Elbir, Abdulkadir Celik, Ahmed M. Eltawil +1
A joint design of both sensing and communication can lead to substantial enhancement for both subsystems in terms of size, cost as well as spectrum and hardware efficiency. In the…
NEAT-MUSIC: Auto-calibration of DOA Estimation for Terahertz-Band Massive MIMO Systems
Ahmet M. Elbir, Abdulkadir Celik, Ahmed M. Eltawil
Terahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth. These features are one of the key en…
Near-field Hybrid Beamforming for Terahertz-band Integrated Sensing and Communications
Ahmet M. Elbir, Abdulkadir Celik, Ahmed M. Eltawil
Terahertz (THz) band communications and integrated sensing and communications (ISAC) are two main facets of the sixth generation wireless networks. In order to compensate the sever…
Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications
Ahmet M. Elbir, Asmaa Abdallah, Abdulkadir Celik +1
Next-generation wireless networks strive for higher communication rates, ultra-low latency, seamless connectivity, and high-resolution sensing capabilities. To meet these demands,…
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function
Ayan Shymyrbay, Mohammed E. Fouda, Ahmed Eltawil
Deep neural networks have been proven to be highly effective tools in various domains, yet their computational and memory costs restrict them from being widely deployed on portable…
Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications
Ahmet M. Elbir, Kumar Vijay Mishra, Asmaa Abdallah +2
As the demand for wireless connectivity continues to soar, the fifth generation and beyond wireless networks are exploring new ways to efficiently utilize the wireless spectrum and…
System-Level Metrics for Non-Terrestrial Networks Under Stochastic Geometry Framework
Qi Huang, Baha Eddine Youcef Belmekki, Ahmed M. Eltawil +1
Non-terrestrial networks (NTNs) are considered one of the key enablers in sixth-generation (6G) wireless networks; and with their rapid growth, system-level metrics analysis adds c…
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil
The higher speed, scalability and parallelism offered by ReRAM crossbar arrays foster development of ReRAM-based next generation AI accelerators. At the same time, sensitivity of R…
Performance of RIS-empowered NOMA-based D2D Communication under Nakagami-m Fading
Mohd Hamza Naim Shaikh, Sultangali Arzykulov, Abdulkadir Celik +2
Reconfigurable intelligent surfaces (RISs) have sparked a renewed interest in the research community envisioning future wireless communication networks. In this study, we analyzed…
Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications
Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Çelik +1
To efficiently utilize the wireless spectrum and save hardware costs, the fifth generation and beyond (B5G) wireless networks envisage integrated sensing and communications (ISAC)…
RIS-Assisted Grant-Free NOMA
Recep Akif Tasci, Fatih Kilinc, Abdulkadir Celik +3
This paper introduces a reconfigurable intelligent surface (RIS)-assisted grant-free non-orthogonal multiple-access (GF-NOMA) scheme. To ensure the power reception disparity requir…
DNA Pattern Matching Acceleration with Analog Resistive CAM
Jinane Bazzi, Jana Sweidan, Mohammed E. Fouda +2
DNA pattern matching is essential for many widely used bioinformatics applications. Disease diagnosis is one of these applications, since analyzing changes in DNA sequences can inc…
BackLink: Supervised Local Training with Backward Links
Wenzhe Guo, Mohammed E Fouda, Ahmed M. Eltawil +1
Empowered by the backpropagation (BP) algorithm, deep neural networks have dominated the race in solving various cognitive tasks. The restricted training pattern in the standard BP…
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 Analog CAM Design
Jinane Bazzi, Jana Sweidan, Mohammed E. Fouda +2
Content Addressable Memories (CAMs) are considered a key-enabler for in-memory computing (IMC). IMC shows order of magnitude improvement in energy efficiency and throughput compare…
Configurable Independent Component Analysis Preprocessing Accelerator
Hsi-Hung Lu, Chung-An Shen, Mohammed E. Fouda +1
Independent component analysis (ICA) has been used in many applications, including self-interference cancellation for in-band full-duplex wireless systems and anomaly detection in…
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil +1
Directly training spiking neural networks (SNNs) has remained challenging due to complex neural dynamics and intrinsic non-differentiability in firing functions. The well-known bac…
In-memory Multi-valued Associative Processor
Mira Hout, Mohammed E. Fouda, Rouwaida Kanj +1
In-memory associative processor architectures are offered as a great candidate to overcome memory-wall bottleneck and to enable vector/parallel arithmetic operations. In this paper…
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…
Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems
Asmaa Abdallah, Abdulkadir Celik, Mohammad M. Mansour +1
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems typically employ hybrid mixed signal processing to avoid expensive hardware and high training overhea…
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…
UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation
Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev +1
Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been recognized as a promising technique to overcome issues of spectrum scarcity and support massive connect…
A Non-Ideal NOMA-based mmWave D2D Networks with Hardware and CSI Imperfections
Leila Tlebaldiyeva, Galymzhan Nauryzbayev, Sultangali Arzykulov +3
This letter investigates a non-orthogonal multiple access (NOMA) assisted millimeter-wave device-to-device (D2D) network practically limited by multiple interference noises, transc…