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H. E. Barkam

5 papers hereh-index 8247 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AR1
  • cs.ET1

identity via Semantic Scholar / OpenAlex

most citedModeling and Predicting Transistor Aging under Workload Dependency using Machine Learning

39 citations · 60 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2024★ 1 cited

Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare

SungHeon Jeong, Hamza Errahmouni Barkam, Sanggeon Yun +3

Hyperdimensional computing (HDC) enables efficient data encoding and processing in high-dimensional space, benefiting machine learning and data analysis. However, underutilization…

cs.LG2024★ 19 cited

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

Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam +2

Machine Learning (ML) models integrated with in-situ sensing offer transformative solutions for defect detection in Additive Manufacturing (AM), but this integration brings critica…

cs.LG2022★ 39 cited

Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning

Paul R. Genssler, Hamza E. Barkam, Karthik Pandaram +2

The pivotal issue of reliability is one of colossal concern for circuit designers. The driving force is transistor aging, dependent on operating voltage and workload. At the design…

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