Miriam Leeser

Miriam Leeser

North Eastern University

H-index: 34

Asia-Thailand

About Miriam Leeser

Miriam Leeser, With an exceptional h-index of 34 and a recent h-index of 18 (since 2020), a distinguished researcher at North Eastern University, specializes in the field of GPU, FPGAs, Application Accelerators, Floating Point, reconfigurable_computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function

A Framework to Enable Runtime Programmable P4-enabled FPGAs in the Open Cloud Testbed

Neural Network on the Edge: Efficient and Low Cost FPGA Implementation of Digital Predistortion in MIMO Systems

Minimizing Training Signal Length for Power Amplifier Characterization and Linearization

Artifact Evaluation for ACM TRETS Papers Submitted from the FPT Journal Track

Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs

Selective Encryption of Compressed Image Regions on the Edge with Reconfigurable Hardware

Miriam Leeser Information

University

Position

Professor of Computer Engineering

Citations(all)

4588

Citations(since 2020)

1428

Cited By

3828

hIndex(all)

34

hIndex(since 2020)

18

i10Index(all)

105

i10Index(since 2020)

31

Email

University Profile Page

North Eastern University

Google Scholar

View Google Scholar Profile

Miriam Leeser Skills & Research Interests

GPU

FPGAs

Application Accelerators

Floating Point

reconfigurable_computing

Top articles of Miriam Leeser

Title

Journal

Author(s)

Publication Date

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

arXiv preprint arXiv:2402.10787

Xuan Shen

Zhenglun Kong

Changdi Yang

Zhaoyang Han

Lei Lu

...

2024/2/16

Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function

Sensors

Yiyue Yiyue Jiang

Vaucautusm Andrius

John Dooley

Miriam Leeser

2024/3/13

A Framework to Enable Runtime Programmable P4-enabled FPGAs in the Open Cloud Testbed

Zhaoyang Han

Suranga Handagala

Kalyani Patle

Michael Zink

Miriam Leeser

2023/5/20

Neural Network on the Edge: Efficient and Low Cost FPGA Implementation of Digital Predistortion in MIMO Systems

Yiyue Jiang

Andrius Vaicaitis

Miriam Leeser

John Dooley

2023/4/17

Minimizing Training Signal Length for Power Amplifier Characterization and Linearization

IEEE Microwave and Wireless Technology Letters

Rahul Mushini

Yiyue Jiang

Miriam Leeser

John Dooley

2023/10/4

Artifact Evaluation for ACM TRETS Papers Submitted from the FPT Journal Track

ACM Transactions on Reconfigurable Technology and Systems

Miriam Leeser

2023

Accelerating Garbled Circuits in the Open Cloud Testbed with Multiple Network-Attached FPGAs

Kai Huang

Mehmet Gungor

Suranga Handagala

Stratis Ioannidis

Miriam Leeser

2023/9/25

Selective Encryption of Compressed Image Regions on the Edge with Reconfigurable Hardware

Justin Kawakami

Dominik Zajac

Miriam Leeser

2023/9/25

Machine Learning Across Network-Connected FPGAs

Dana Diaconu

Yanyue Xie

Mehmet Gungor

Suranga Handagala

Xue Lin

...

2023/9/25

Late Breaking Results: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Proceedings of the 59th Design Automation Conference (DAC)

Mengshu Sun

Zhengang Li

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/1

Auto-vit-acc: An fpga-aware automatic acceleration framework for vision transformer with mixed-scheme quantization

Zhengang Li

Mengshu Sun

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/8/29

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: Late breaking results

Mengshu Sun

Zhengang Li

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/7/10

Machine Learning Aided Hardware Resource Estimation for FPGA DNN Implementations

Dana Diaconu

Lucian Petrica

Michaela Blott

Miriam Leeser

2022/5/30

Network attached FPGAs in the open cloud testbed (OCT)

Suranga Handagala

Miriam Leeser

Kalyani Patle

Michael Zink

2022/5/2

Optimizing Designs Using Several Types of Memories on Modern FPGAs

Mehmet Gungor

Kai Huang

Stratis Ioannidis

Miriam Leeser

2022/9/19

The future of FPGA acceleration in datacenters and the cloud

Christophe Bobda

Joel Mandebi Mbongue

Paul Chow

Mohammad Ewais

Naif Tarafdar

...

2022/2/4

Hardware Software Codesign of Applications on the Edge: Accelerating Digital PreDistortion for Wireless Communications

Zhaoyang Han

Yiyue Jiang

Rahul Mushini

John Dooley

Miriam Leeser

2022/9/19

Evaluating theoretical baselines for ml benchmarking across different accelerators

IEEE Design & Test

Michaela Blott

Alina Vasilciuc

Miriam Leeser

Linda Doyle

2021/3/3

Computationally efficient look-up-tables for behavioral modelling and digital pre-distortion of multi-standard wireless systems

Zhaoyang Han

Meabh Loughman

Yiyue Jiang

Rahul Mushini

Miriam Leeser

...

2021/11/9

OCT: The Open Cloud FPGA Testbed

31st International Conference on Field Programmable Logic and Applications (FPL)

S Handagala

M Herbordt

M Leeser

2021/1

See List of Professors in Miriam Leeser University(North Eastern University)