Hamza Errahmouni Barkam

According to our database, Hamza Errahmouni Barkam authored at least 16 papers between 2022 and 2024.

Collaborative distances:

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

2024

In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Che-Kai Liu, Zhuowen Zou, Hussam Amrouch, Mohsen Imani

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI.

Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller, Yu Jiang, Mohsen Imani, Sukhrob Abdulazhanov, Alptekin Vardar, Nellie Laleni, Zijian Zhao, Jiahui Duan, Zhiguo Shi, Siddharth Joshi, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2024

Explainable Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring.

Fardin Jalil Piran, Prathyush Poduval, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani

CoRR, 2024

HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing.

Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani

CoRR, 2024

A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation.

Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning.

Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023

Towards Efficient Hyperdimensional Computing Using Photonics.

Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi

CoRR, 2023

Hardware-Optimized Hyperdimensional Computing for Real-Time Learning.

Hanning Chen, Hamza Errahmouni Barkam, Mohsen Imani

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies.

Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.

Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA.

Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET.

Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks.

Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Hyperdimensional Computing for Robust and Efficient Unsupervised Learning.

Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani

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.

Hamza Errahmouni Barkam, Max Wang, Barbara Martinez Neda, Sergio Gago Masagué

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.

Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022