Ehsan Kabir Source Confirmed

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

Research Assistant

University of Arkansas at Fayetteville

grad_student

4 h-index 20 pubs 50 cited

Research Areas

Advanced Neural Network Applications Parallel Computing and Optimization Techniques Advancements in Semiconductor Devices and Circuit Design Machine Learning for Time-Series Forecasting AI in cancer detection Semiconductor materials and devices High-Bandwidth AI-Memory Systems

Links

ORCID

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

Ehsan Kabir's research interests lie in the acceleration of machine learning models and dynamic system forecasting. His work has focused on developing efficient computational methods, particularly for time-series signals and high-rate dynamic systems. Kabir has explored the application of Field-Programmable Gate Arrays (FPGAs) for accelerating neural network architectures, including Transformer encoders, convolutional neural networks, and multilayer perceptrons. He has also investigated in-memory computing architectures for FPGAs and advanced AI-memory systems. His publications include studies on programmable accelerators for attention mechanisms and direct die attachment for high-bandwidth AI-memory systems. Kabir's research network includes collaborators such as David Andrews and Miaoqing Huang from the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications. His scholarship metrics include an h-index of 4 with 50 total citations across 20 publications.

Metrics

  • h-index: 4
  • Publications: 20
  • Citations: 50

Selected Publications

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

Collaborators

Researchers in the database who share publications

David Andrews University of Arkansas at Fayetteville 13 shared publications Miaoqing Huang University of Arkansas at Fayetteville 12 shared publications Eli Levy-Mackay University of Arkansas at Fayetteville 2 shared publications Arpan Poudel University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Ángeles Navarro University of Arkansas at Fayetteville
Advanced Neural Network Applications Parallel Computing and Optimization Techniques Advancements in Semiconductor Devices and Circuit Design
Good match 4 shared topics
Brian David Hillhouse University of Arkansas at Fayetteville
Advanced Neural Network Applications Advancements in Semiconductor Devices and Circuit Design Semiconductor materials and devices
Good match 3 shared topics
Luke Vincent University of Arkansas at Fayetteville
Advanced Neural Network Applications Advancements in Semiconductor Devices and Circuit Design Semiconductor materials and devices
Good match 3 shared topics
Wassim Khalil University of Arkansas at Fayetteville
Advanced Neural Network Applications Advancements in Semiconductor Devices and Circuit Design Semiconductor materials and devices
Good match 3 shared topics
Spencer Nelson University of Arkansas at Fayetteville
Advanced Neural Network Applications Advancements in Semiconductor Devices and Circuit Design Semiconductor materials and devices
Good match 3 shared topics
S.A. Kim University of Arkansas at Fayetteville
Parallel Computing and Optimization Techniques Advancements in Semiconductor Devices and Circuit Design Semiconductor materials and devices
Good match 3 shared topics