Beiimbet Sarsekeyev Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Central Arkansas
Last publication 2023 Last refreshed 2026-05-16

grad_student

1 h-index 2 pubs 4 cited

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Research Group

OverviewAI-generated summary

Beiimbet Sarsekeyev is a graduate student at the University of Central Arkansas whose research focuses on tactile and sensory interactions, brain-computer interfaces using EEG, advanced sensor materials, energy harvesting, industrial vision systems, and defect detection. Sarsekeyev's work includes developing methods for texture classification using contextually guided convolutional neural networks (CNNs) and exploring hardware acceleration for band-power feature extraction in tactile embedded systems. His recent work emphasizes a semi-supervised approach to tactile sensing.

Metrics

  • h-index: 1
  • Publications: 2
  • Citations: 4

Selected Publications

  • Tactile Sensing with Contextually Guided CNNs: A Semisupervised Approach for Texture Classification (2023)
    3 citations DOI OpenAlex
  • Eco-CMB: A Hardware-Accelerated Band-Power Feature Extractor for Tactile Embedded Systems (2021)
    1 citation DOI OpenAlex

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Collaboration Network

5 Collaborators 5 Institutions 1 Country

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