Ehsan Kabir Data-verified

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

Research Assistant

Last publication 2025 Last refreshed 2026-05-16

grad_student

4 h-index 23 pubs 53 cited

Biography and Research Information

OverviewAI-generated summary

Ehsan Kabir's research focuses on the acceleration of machine learning models, particularly those involving time-series forecasting and dynamic system modeling. He has investigated techniques for enhancing the performance of Long Short-Term Memory (LSTM) networks and Transformer encoders, with a specific emphasis on hardware acceleration using Field-Programmable Gate Arrays (FPGAs). His work includes the development of programmable accelerators for convolutional and multilayer perceptron neural networks, as well as attention mechanisms within Transformer architectures.

Kabir has also explored the application of numerical analysis in the context of biosensing, specifically for the detection of SARS-CoV-2. His research network includes frequent collaborations with David Andrews and Miaoqing Huang at the University of Arkansas at Fayetteville, with whom he has co-authored numerous publications. With an h-index of 4 and 52 total citations across 20 publications, Kabir is actively contributing to the fields of machine learning and hardware acceleration.

Metrics

  • h-index: 4
  • Publications: 23
  • Citations: 53

Selected Publications

  • Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms (2025)
  • Famous: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ FPGAs (2024)
    2 citations DOI OpenAlex
  • ProTEA: Programmable Transformer Encoder Acceleration on FPGA (2024)
    3 citations DOI OpenAlex
  • FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ? (2023)
    4 citations DOI OpenAlex
  • Accelerating LSTM-Based High-Rate Dynamic System Models (2023)
    6 citations DOI OpenAlex
  • FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ? (2023)
  • A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA (2022)
    3 citations DOI OpenAlex
  • High-Rate Machine Learning for Forecasting Time-Series Signals (2022)
    8 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

20 Collaborators 8 Institutions 2 Countries

Top Collaborators

View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics