An efficient compressive wideband spectrum sensing architecture for cognitive radios. - Mohamed Shaban; Dmitri D. Perkins; Magdy A. Bayoumi (SiPS, 2013)

ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology. - Mohamed Shaban; Tarek A. Idriss; Haytham Idriss; Magdy A. Bayoumi (ICASSP, 2015)

On sub-Nyquist spectrum sensing for wideband cognitve radios. - Mohamed Shaban; Magdy A. Bayoumi (ICUFN, 2016)

Sub-Nyquist spectrum sensing for wideband cognitive radios: a survey. - Mohamed Shaban (Int. J. Wirel. Mob. Comput., 2017)

Automated Staging of Diabetic Retinopathy Using a 2D Convolutional Neural Network. - Mohamed Shaban; Zeliha Ogur; Ahmed Shalaby 002; Ali Mahmoud 001; Mohammed Ghazal; Harpal Sandhu; Henry Kaplan; Ayman El-Baz (ISSPIT, 2018)

A study of distributed compressive sensing for the Internet of Things (IoT). - Mohamed Shaban; Ahmed Abdelgawad 001 (WF-IoT, 2018)

Deep Learning Based Method for Computer Aided Diagnosis of Diabetic Retinopathy. - Omar Dekhil; Ahmed Naglah; Mohamed Shaban; Mohammed Ghazal; Fatma Taher; Ayman El-Baz (IST, 2019)

Deep Convolutional Neural Network for Parkinson's Disease Based Handwriting Screening. - Mohamed Shaban (ISBI Workshops, 2020)

Automated Screening of Parkinson's Disease Using Deep Learning Based Electroencephalography. - Mohamed Shaban (NER, 2021)

Exploiting the Differential Wavelet Domain of Resting-State EEG Using a Deep-CNN for Screening Parkinson's Disease. - Mohamed Shaban; Stephen Cahoon; Fiza Khan; Mahalia Polk (SSCI, 2021)

A Deep-Learning Framework for the Detection of Oil Spills from SAR Data. - Mohamed Shaban; Reem Salim; Hadil Abu Khalifeh; Adel Khelifi; Ahmed Shalaby 002; Shady El-Mashad; Ali Mahmoud 001; Mohammed Ghazal; Ayman El-Baz (Sensors, 2021)

Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey. - Md. Bipul Hossain; Na Gong; Mohamed Shaban (AIBThings, 2023)

A Novel Deep-Learning Based Approach for Mild Cognitive Impairment Screening in Patients with Parkinson's Disease. - Madan Parajuli; Amy W. Amara; Mohamed Shaban (AIBThings, 2023)

Screening of Mild Cognitive Impairment in Patients with Parkinson's Disease Using a Variational Mode Decomposition Based Deep-Learning. - Madan Parajuli; Amy W. Amara; Mohamed Shaban (NER, 2023)

An Improved Lightweight DenseNet-201 Model for Pneumonia Detection on Edge IoT. - Md. Bipul Hossain; Na Gong; Mohamed Shaban (WF-IoT, 2023)

Secure and Efficient Entanglement Distribution Protocol for Near-Term Quantum Internet. - Nicholas Skjellum; Mohamed Shaban; Muhammad Ismail (CoRR, 2023)

Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework. - Madan Parajuli; Mohamed Shaban; Thuy L. Phung (Int. J. Imaging Syst. Technol., 2023)

Deep Learning for Parkinson's Disease Diagnosis: A Short Survey. - Mohamed Shaban (Comput., 2023)

Resource Efficient Deep Learning Architectures for Histopathology-Based Colorectal Cancer Detection. - Md. Bipul Hossain; Mohamed Shaban (AIBThings, 2024)

Prediction of Freezing of Gait for Patients with Parkinson's Disease Using Deep Learning. - Mohamed Shaban (AIBThings, 2024)

Hands-On Introduction to Quantum Machine Learning. - Muhammad Ismail; Mohamed Shaban; Samuel Yen-Chi Chen (FLAIRS, 2024)

Flexible Bit-Truncation Memory for Low-Power Quality-Adaptive Video and Deep Learning Storage. - William Oswald; Md. Sajjad Hossain; Kyle Mooney; Mario Renteria-Pinon; Md. Bipul Hossain; Mohamed Shaban; Jinhui Wang; Na Gong (IGSC, 2024)

Secure and Efficient Entanglement Distribution Protocols for Near-Term Quantum Internet. - Nicholas Skjellum; Mohamed Shaban; Muhammad Ismail (ICCCN, 2024)

QNTN: Establishing a Regional Quantum Network in Tennessee. - Mohamed Shaban; Muhammad Ismail; Mariam Kiran (SC Workshops, 2024)

Secured Quantum Identity Authentication Protocol for Quantum Networks. - Mohamed Shaban; Muhammad Ismail (VTC Fall, 2024)

SPARQ: Efficient Entanglement Distribution and Routing in Space-Air-Ground Quantum Networks. - Mohamed Shaban; Muhammad Ismail; Walid Saad (CoRR, 2024)

A Novel Attention-Based Layer Pruning Approach for Low-Complexity Convolutional Neural Networks. - Md. Bipul Hossain; Na Gong; Mohamed Shaban (Adv. Intell. Syst., 2024)

SACA: Sub-Sampling Aware Channel Attention for Efficient Semantic Segmentation Model Compression. - Md. Bipul Hossain; Na Gong; Mohamed Shaban (ISBI, 2025)