On on-chip intelligence paradigms. - Omar Eldash; Kasem Khalil; Magdy A. Bayoumi (CCECE, 2017)

On reconfigurable fabrics for intelligent hardware systems. - Omar Eldash; Kasem Khalil; Magdy A. Bayoumi (ICECS, 2017)

Self-healing router architecture for reliable network-on-chips. - Kasem Khalil; Omar Eldash; Magdy A. Bayoumi (ICECS, 2017)

A novel approach towards less area overhead self-healing hardware systems. - Kasem Khalil; Omar K. Eldash; Magdy A. Bayoumi (MWSCAS, 2017)

An Efficient Approach for Neural Network Architecture. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (ICECS, 2018)

A Cost-Effective Self-Healing Approach for Reliable Hardware Systems. - Kasem Khalil; Omar Eldash; Magdy A. Bayoumi (ISCAS, 2018)

Flexible Self-Healing Router for Reliable and High-Performance Network-an-Chips Architecture. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (SoCC, 2018)

Self-Healing Approach for Hardware Neural Network Architecture. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (MWSCAS, 2019)

A Novel Reconfigurable Hardware Architecture of Neural Network. - Kasem Khalil; Omar Eldash; Bappaditya Dey; Ashok Kumar 001; Magdy A. Bayoumi (MWSCAS, 2019)

N2 OC: Neural-Network-on-Chip Architecture. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (SoCC, 2019)

A Speed and Energy Focused Framework for Dynamic Hardware Reconfiguration. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (SoCC, 2019)

Self-healing hardware systems: A review. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (Microelectron. J., 2019)

Economic LSTM Approach for Recurrent Neural Networks. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Architecture of A Novel Low-Cost Hardware Neural Network. - Kasem Khalil; Omar Eldash; Bappaditya Dey; Ashok Kumar 001; Magdy A. Bayoumi (MWSCAS, 2020)

Dynamically Reconfigurable Deep Learning for Efficient Video Processing in Smart IoT Systems. - Omar Eldash; Adam Frost; Kasem Khalil; Ashok Kumar 001; Magdy A. Bayoumi (WF-IoT, 2020)

Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (IEEE Trans. Biomed. Circuits Syst., 2020)

Machine Learning-Based Approach for Hardware Faults Prediction. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (IEEE Trans. Circuits Syst., 2020)

An Efficient Embryonic Hardware Architecture based on Network-on-Chip. - Kasem Khalil; Omar Eldash; Bappaditya Dey; Ashok Kumar 001; Magdy A. Bayoumi (MWSCAS, 2021)

Convolution Processing Unit Featuring Adaptive Precision using Dynamic Reconfiguration. - David Cain; Omar Eldash; Kasem Khalil; Magdy A. Bayoumi (WF-IoT, 2021)

HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware. - James Hegarty; Omar Eldash; Amr Suleiman; Armin Alaghi (CoRR, 2021)

Self-Healing Router Approach for High-Performance Network-on-Chip. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (IEEE Open J. Circuits Syst., 2021)

Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator. - Kasem Khalil; Omar Eldash; Ashok Kumar 001; Magdy A. Bayoumi (IEEE Trans. Very Large Scale Integr. Syst., 2022)

An Optimized Object Detection Algorithm for Unmanned Aerial Vehicles (UAVs). - Temilola Onifade; Omar Eldash; Magdy A. Bayoumi (WF-IoT, 2023)

CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. - John Moon; Giacomo Pedretti; Pedro Bruel; Sergey Serebryakov; Omar Eldash; Luca Buonanno; Catherine E. Graves; Paolo Faraboschi; Jim Ignowski (ICCAD, 2024)

Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Xia Sheng; Giacomo Pedretti; Aman Arora 001; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FCCM, 2025)

Enhancing FPGAs with Analog In-Memory Computing Macros. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Rand Jean; Xia Sheng; Giacomo Pedretti; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FPGA, 2025)