Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph. - Yu Bai 004; Abigail Fuentes-Rivera; Michael Riera; Mohammed Alawad; Mingjie Lin (FCCM, 2013)

Improving memory performance in reconfigurable computing architecture through hardware-assisted dynamic graph. - Yu Bai 004; Mohammed Alawad; Michael Riera; Mingjie Lin (ReConFig, 2013)

Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation. - Mohammed Alawad; Yu Bai 004; Ronald F. DeMara; Mingjie Lin (FPGA, 2014)

Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only). - Yu Bai 004; Mohammed Alawad; Mingjie Lin (FPGA, 2014)

FIR Filter Based on Stochastic Computing with Reconfigurable Digital Fabric. - Mohammed Alawad; Mingjie Lin (FCCM, 2015)

Energy-Efficient High-Order FIR Filtering through Reconfigurable Stochastic Processing (Abstract Only). - Mohammed Alawad; Mingjie Lin (FPGA, 2015)

Neural network-based fuzzy control surface implementation. - Mohammed Alawad; Sinan Ismail; Mingjie Lin (GlobalSIP, 2015)

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric (Abstract Only). - Mohammed Alawad; Mingjie Lin (FPGA, 2016)

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric. - Mohammed Alawad; Mingjie Lin (ISVLSI, 2016)

Stochastic-Based Deep Convolutional Networks with Reconfigurable Logic Fabric. - Mohammed Alawad; Mingjie Lin (IEEE Trans. Multi Scale Comput. Syst., 2016)

Stochastic-Based Multi-stage Streaming Realization of a Deep Convolutional Neural Network (Abstract Only). - Mohammed Alawad; Mingjie Lin (FPGA, 2017)

Stochastic-based multi-stage streaming realization of deep convolutional neural network. - Mohammed Alawad; Mingjie Lin (ISQED, 2017)

Sketching Computation with Stochastic Processing Engines. - Mohammed Alawad; Mingjie Lin (ACM J. Emerg. Technol. Comput. Syst., 2017)

Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. - Mohammed Alawad; Linwei Wang (ISBI, 2018)

Memory-Efficient Probabilistic 2-D Finite Impulse Response (FIR) Filter. - Mohammed Alawad; Mingjie Lin (IEEE Trans. Multi Scale Comput. Syst., 2018)

Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming. - Mohammed Alawad; Mingjie Lin (IEEE Trans. Multi Scale Comput. Syst., 2018)

Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers. - Mohammed Alawad; Yu Bai 004; Ronald F. DeMara; Mingjie Lin (IEEE Trans. Emerg. Top. Comput., 2019)

Survey of Stochastic-Based Computation Paradigms. - Mohammed Alawad; Mingjie Lin (IEEE Trans. Emerg. Top. Comput., 2019)

Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. - Mohammed Alawad; Linwei Wang (IEEE Trans. Medical Imaging, 2019)

Inter - intra observer variability using deep learning and traditional image processing for breast cancer. - Ahmed Almazroa; Barrak Alsomaie; Najd Alluhaydan; Amal Alhaidary; Mohammed Fahim; Wadood Abdul; Mohammed Alawad; Altaf Khan; Ebtihal Alenezi; Taghreed almotairi; AlJowharah Alyahya; Raghad Alfulayj; et al. (DeSE, 2020)

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML. - Shahad Alahmed; Qutaiba Alasad; Maytham M. Hammood; Jiann-Shiun Yuan; Mohammed Alawad (Comput., 2022)

Stochastically Pruning Large Language Models Using Sparsity Regularization and Compressive Sensing. - Mohammad Munzurul Islam; Mohammed Alawad (ACM Great Lakes Symposium on VLSI, 2023)

Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. - Mohammad Munzurul Islam; Mohammed Alawad (ICMLA, 2023)

HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors. - Mohammed Baharoon; Hessa Almatar; Reema Alduhayan; Tariq Aldebasi; Badr Alahmadi; Yahya Bokhari; Mohammed Alawad; Ahmed Almazroa; Abdulrhman Aljouie (CoRR, 2023)

Sparsifying Graph Neural Networks with Compressive Sensing. - Mohammed Alawad; Mohammad Munzurul Islam (ACM Great Lakes Symposium on VLSI, 2024)

Probabilistic Bayesian Neural Networks for Efficient Inference. - Mohammed Alawad; Md Ishak (ACM Great Lakes Symposium on VLSI, 2024)

Efficient Federated Learning Through Distributed Model Pruning. - Mohammad Munzurul Islam; Mohammed Alawad (ISVLSI, 2024)

Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems. - Meaad Ahmed; Qutaiba Alasad; Jiann-Shiun Yuan; Mohammed Alawad (Big Data Cogn. Comput., 2024)

On the Robustness of Compressed Models with Class Imbalance. - Baraa Saeed Ali; Nabil J. Sarhan; Mohammed Alawad (Comput., 2024)

Impacting Robustness in Deep Learning-Based NIDS through Poisoning Attacks. - Shahad Alahmed; Qutaiba Alasad; Jiann-Shiun Yuan; Mohammed Alawad (Algorithms, 2024)

Resource-Aware ECG Classification with Heterogeneous Models in Federated Learning. - Mohammad Munzurul Islam; Mohammed Alawad (Future Internet, 2025)

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. - Qinmei Xu 003; Yiheng Li; Xianghao Zhan; Ahmet Gorkem Er; Brittany Dashevsky; Chuanjun Xu; Mohammed Alawad; Mengya Yang; Liu Ya; Changsheng Zhou; Xiao Li; Haruka Itakura; et al. (CoRR, 2025)

Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans. - Yiheng Li; Francisco Carrillo-Perez; Mohammed Alawad; Olivier Gevaert (CoRR, 2025)