Optimization of Surface Plasmon Resonance Biosensor for Analysis of Lipid Molecules. - Ehsan Kabir; Syed Mohammad Ashab Uddin; Sayeed Shafayet Chowdhury (CoRR, 2020)

A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA. - Ehsan Kabir; Arpan Poudel; Zeyad Aklah; Miaoqing Huang; David Andrews 001 (ARC, 2022)

High-Rate Machine Learning for Forecasting Time-Series Signals. - Atiyehsadat Panahi; Ehsan Kabir; Austin R. J. Downey; David Andrews 001; Miaoqing Huang; Jason D. Bakos (FCCM, 2022)

Accelerating LSTM-Based High-Rate Dynamic System Models. - Ehsan Kabir; Daniel Coble; Joud N. Satme; Austin R. J. Downey; Jason D. Bakos; David Andrews 001; Miaoqing Huang (FPL, 2023)

FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ? - M. D. Arafat Kabir; Ehsan Kabir; Joshua Hollis; Eli Levy-Mackay; Atiyehsadat Panahi; Jason D. Bakos; Miaoqing Huang; David Andrews 001 (FPL, 2023)

ProTEA: Programmable Transformer Encoder Acceleration on FPGA. - Ehsan Kabir; Jason D. Bakos; David Andrews 001; Miaoqing Huang (SC Workshops, 2024)

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on UltraScale+ FPGAs. - Ehsan Kabir; M. D. Arafat Kabir; Austin R. J. Downey; Jason D. Bakos; David Andrews 001; Miaoqing Huang (CoRR, 2024)

A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs. - Ehsan Kabir; Austin R. J. Downey; Jason D. Bakos; David Andrews 001; Miaoqing Huang (CoRR, 2024)

Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms. - Ehsan Kabir; Austin R. J. Downey; Jason D. Bakos; David Andrews 001; Miaoqing Huang (FCCM, 2025)