Mohammadreza Mohammadi

Orcid: 0000-0002-8470-3277

According to our database1, Mohammadreza Mohammadi authored at least 25 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization.
IEEE Trans. Serv. Comput., 2024

Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware.
CoRR, 2024

An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes.
CoRR, 2024

Multi-Objective Neural Architecture Search for In-Memory Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids.
Proceedings of the 2024 8th International Conference on Cloud and Big Data Computing, 2024

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection.
Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series.
Commun. Nonlinear Sci. Numer. Simul., November, 2023

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks.
IEEE Trans. Netw. Serv. Manag., June, 2023

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework.
IEEE Trans. Netw. Serv. Manag., June, 2023

An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection.
Sensors, February, 2023

Work in Progress: Real-time Transformer Inference on Edge AI Accelerators.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Privacy-preserving Federated Learning System for Fatigue Detection.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022
Static hand gesture recognition for American sign language using neuromorphic hardware.
Neuromorph. Comput. Eng., December, 2022

Pristine and Malicious URLs.
Dataset, April, 2022

Defeating Adversarial Attacks Againt Adversarial attacks in Network Security.
Dataset, March, 2022

SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks.
CoRR, 2022

Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware.
Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

MRAM-based Analog Sigmoid Function for In-memory Computing.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022


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