Mohammed Alawad

33 papers A 5C 2Misc 2Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. CoRR Qinmei Xu, Yiheng Li, Xianghao Zhan, Ahmet Gorkem Er, Brittany Dashevsky, Chuanjun Xu, Mohammed Alawad, Mengya Yang, Liu Ya, Changsheng Zhou, Xiao Li, Haruka Itakura, Olivier Gevaert
2025	J	`jnl`	Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans. CoRR Yiheng Li, Francisco Carrillo-Perez, Mohammed Alawad, Olivier Gevaert
2025	J	`jnl`	Resource-Aware ECG Classification with Heterogeneous Models in Federated Learning. Future Internet Mohammad Munzurul Islam, Mohammed Alawad
2024	—	`conf`	Efficient Federated Learning Through Distributed Model Pruning. ISVLSI Mohammad Munzurul Islam, Mohammed Alawad
2024	J	`jnl`	Impacting Robustness in Deep Learning-Based NIDS through Poisoning Attacks. Algorithms Shahad Alahmed, Qutaiba Alasad, Jiann-Shiun Yuan, Mohammed Alawad
2024	J	`jnl`	On the Robustness of Compressed Models with Class Imbalance. Comput. Baraa Saeed Ali, Nabil J. Sarhan, Mohammed Alawad
2024	—	`conf`	Probabilistic Bayesian Neural Networks for Efficient Inference. ACM Great Lakes Symposium on VLSI Mohammed Alawad, Md Ishak
2024	J	`jnl`	Re-Evaluating Deep Learning Attacks and Defenses in Cybersecurity Systems. Big Data Cogn. Comput. Meaad Ahmed, Qutaiba Alasad, Jiann-Shiun Yuan, Mohammed Alawad
2024	—	`conf`	Sparsifying Graph Neural Networks with Compressive Sensing. ACM Great Lakes Symposium on VLSI Mohammed Alawad, Mohammad Munzurul Islam
2023	J	`jnl`	HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors. CoRR Mohammed Baharoon, Hessa Almatar, Reema Alduhayan, Tariq Aldebasi, Badr Alahmadi, Yahya Bokhari, Mohammed Alawad, Ahmed Almazroa, Abdulrhman Aljouie
2023	C	`conf`	Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. ICMLA Mohammad Munzurul Islam, Mohammed Alawad
2023	—	`conf`	Stochastically Pruning Large Language Models Using Sparsity Regularization and Compressive Sensing. ACM Great Lakes Symposium on VLSI Mohammad Munzurul Islam, Mohammed Alawad
2022	J	`jnl`	Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML. Comput. Shahad Alahmed, Qutaiba Alasad, Maytham M. Hammood, Jiann-Shiun Yuan, Mohammed Alawad
2020	C	`conf`	Inter - intra observer variability using deep learning and traditional image processing for breast cancer. DeSE Ahmed Almazroa, Barrak Alsomaie, Najd Alluhaydan, Amal Alhaidary, Mohammed Fahim, Wadood Abdul, Mohammed Alawad, Altaf Khan, Ebtihal Alenezi, Taghreed almotairi, AlJowharah Alyahya, Raghad Alfulayj, Manar Althobaiti, Jawaher bin Maythir
2019	J	`jnl`	Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Medical Imaging Mohammed Alawad, Linwei Wang
2019	J	`jnl`	Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers. IEEE Trans. Emerg. Top. Comput. Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin
2019	J	`jnl`	Survey of Stochastic-Based Computation Paradigms. IEEE Trans. Emerg. Top. Comput. Mohammed Alawad, Mingjie Lin
2018	—	`conf`	Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. ISBI Mohammed Alawad, Linwei Wang
2018	J	`jnl`	Memory-Efficient Probabilistic 2-D Finite Impulse Response (FIR) Filter. IEEE Trans. Multi Scale Comput. Syst. Mohammed Alawad, Mingjie Lin
2018	J	`jnl`	Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming. IEEE Trans. Multi Scale Comput. Syst. Mohammed Alawad, Mingjie Lin
2017	J	`jnl`	Sketching Computation with Stochastic Processing Engines. ACM J. Emerg. Technol. Comput. Syst. Mohammed Alawad, Mingjie Lin
2017	A	`conf`	Stochastic-Based Multi-stage Streaming Realization of a Deep Convolutional Neural Network (Abstract Only). FPGA Mohammed Alawad, Mingjie Lin
2017	—	`conf`	Stochastic-based multi-stage streaming realization of deep convolutional neural network. ISQED Mohammed Alawad, Mingjie Lin
2016	A	`conf`	Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric (Abstract Only). FPGA Mohammed Alawad, Mingjie Lin
2016	—	`conf`	Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric. ISVLSI Mohammed Alawad, Mingjie Lin
2016	J	`jnl`	Stochastic-Based Deep Convolutional Networks with Reconfigurable Logic Fabric. IEEE Trans. Multi Scale Comput. Syst. Mohammed Alawad, Mingjie Lin
2015	A	`conf`	Energy-Efficient High-Order FIR Filtering through Reconfigurable Stochastic Processing (Abstract Only). FPGA Mohammed Alawad, Mingjie Lin
2015	Misc	`conf`	FIR Filter Based on Stochastic Computing with Reconfigurable Digital Fabric. FCCM Mohammed Alawad, Mingjie Lin
2015	—	`conf`	Neural network-based fuzzy control surface implementation. GlobalSIP Mohammed Alawad, Sinan Ismail, Mingjie Lin
2014	A	`conf`	Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation. FPGA Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin
2014	A	`conf`	Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only). FPGA Yu Bai, Mohammed Alawad, Mingjie Lin
2013	Misc	`conf`	Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph. FCCM Yu Bai, Abigail Fuentes-Rivera, Michael Riera, Mohammed Alawad, Mingjie Lin
2013	—	`conf`	Improving memory performance in reconfigurable computing architecture through hardware-assisted dynamic graph. ReConFig Yu Bai, Mohammed Alawad, Michael Riera, Mingjie Lin