Mohammed Alawad

According to our database, Mohammed Alawad authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Impacting Robustness in Deep Learning-Based NIDS through Poisoning Attacks.

Shahad Alahmed, Qutaiba Alasad, Jiann-Shiun Yuan, Mohammed Alawad

Algorithms, April, 2024

Efficient Federated Learning Through Distributed Model Pruning.

Mohammad Munzurul Islam, Mohammed Alawad

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Probabilistic Bayesian Neural Networks for Efficient Inference.

Mohammed Alawad, Md Ishak

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Sparsifying Graph Neural Networks with Compressive Sensing.

Mohammed Alawad, Mohammad Munzurul Islam

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

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

Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing.

Mohammad Munzurul Islam, Mohammed Alawad

Proceedings of the International Conference on Machine Learning and Applications, 2023

Stochastically Pruning Large Language Models Using Sparsity Regularization and Compressive Sensing.

Mohammad Munzurul Islam, Mohammed Alawad

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

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

2020

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, Manar Althobaiti, Jawaher bin Maythir

Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

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

Survey of Stochastic-Based Computation Paradigms.

Mohammed Alawad, Mingjie Lin

IEEE Trans. Emerg. Top. Comput., 2019

Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers.

Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin

IEEE Trans. Emerg. Top. Comput., 2019

2018

Scalable FPGA Accelerator for Deep Convolutional Neural Networks with Stochastic Streaming.

Mohammed Alawad, Mingjie Lin

IEEE Trans. Multi Scale Comput. Syst., 2018

Memory-Efficient Probabilistic 2-D Finite Impulse Response (FIR) Filter.

Mohammed Alawad, Mingjie Lin

IEEE Trans. Multi Scale Comput. Syst., 2018

Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation.

Mohammed Alawad, Linwei Wang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Sketching Computation with Stochastic Processing Engines.

Mohammed Alawad, Mingjie Lin

ACM J. Emerg. Technol. Comput. Syst., 2017

Stochastic-based multi-stage streaming realization of deep convolutional neural network.

Mohammed Alawad, Mingjie Lin

Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Stochastic-Based Multi-stage Streaming Realization of a Deep Convolutional Neural Network (Abstract Only).

Mohammed Alawad, Mingjie Lin

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2016

Stochastic-Based Deep Convolutional Networks with Reconfigurable Logic Fabric.

Mohammed Alawad, Mingjie Lin

IEEE Trans. Multi Scale Comput. Syst., 2016

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric.

Mohammed Alawad, Mingjie Lin

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric (Abstract Only).

Mohammed Alawad, Mingjie Lin

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

Neural network-based fuzzy control surface implementation.

Mohammed Alawad, Sinan Ismail, Mingjie Lin

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Energy-Efficient High-Order FIR Filtering through Reconfigurable Stochastic Processing (Abstract Only).

Mohammed Alawad, Mingjie Lin

Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

FIR Filter Based on Stochastic Computing with Reconfigurable Digital Fabric.

Mohammed Alawad, Mingjie Lin

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014

Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only).

Yu Bai, Mohammed Alawad, Mingjie Lin

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation.

Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

2013

Improving memory performance in reconfigurable computing architecture through hardware-assisted dynamic graph.

Yu Bai, Mohammed Alawad, Michael Riera, Mingjie Lin

Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2013

Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph.

Yu Bai, Abigail Fuentes-Rivera, Michael Riera, Mohammed Alawad, Mingjie Lin

Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013