Hamza Errahmouni Barkam
Orcid: 0000-0002-0500-4647
According to our database1,
Hamza Errahmouni Barkam
authored at least 26 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
A Homogeneous FeFET-Based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2025
A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2025
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring.
Eng. Appl. Artif. Intell., 2025
From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025
Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
2024
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing.
Adv. Intell. Syst., December, 2024
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024
Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate.
CoRR, 2024
A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI.
CoRR, 2024
Explainable Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring.
CoRR, 2024
HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing.
CoRR, 2024
Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023
Revisiting Academic Probation in CS: At-Risk Indicators and Impact on Student Success.
J. Comput. Sci. Coll., 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022