Miaoqing Huang Source Confirmed

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

Federal Grant PI

Associate Professor

University of Arkansas at Fayetteville

faculty

15 h-index 112 pubs 1,017 cited

Research Areas

Advancements in Semiconductor Devices and Circuit Design Network Security and Intrusion Detection Advanced Neural Network Applications EEG and Brain-Computer Interfaces Parallel Computing and Optimization Techniques Machine Learning for Time-Series Analysis Computer Architecture and Hardware Design

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Miaoqing Huang is an Associate Professor at the University of Arkansas, Fayetteville, with a research focus on advanced computing architectures and their applications, particularly in the areas of cryptography and machine learning.

Huang's work includes the development of hardware implementations for cryptographic algorithms, such as Kyber, and the analysis of side-channel attacks on post-quantum cryptography (PQC) algorithms. This research is supported by a National Science Foundation (NSF) grant totaling $100,000 for infrastructure to perform side-channel attacks on cryptographic algorithms, with Huang serving as the Principal Investigator (PI).

Further research areas involve the acceleration of machine learning models for time-series forecasting and dynamic system modeling, including the use of transformer encoders on FPGAs and Graph Neural Networks for fMRI data. Huang also investigates efficient processor designs for wearable brain-computer interfaces, such as optimizing EEGNet for low-power, real-time EEG classification. Huang has a collaborative network at the University of Arkansas, Fayetteville, with key collaborators including David Andrews, Ehsan Kabir, Tendayi Kamucheka, and Alexander Nelson, with whom Huang has co-authored numerous publications. Huang maintains an active research lab and leads a research group. Huang's scholarly contributions are reflected in an h-index of 15, with over 112 publications and more than 1,017 citations.

Metrics

h-index: 15
Publications: 112
Citations: 1,017

Selected Publications

DA-VinCi: A Deep-Learning Accelerator Overlay Using In-Memory Computing (2025) DOI
Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration (2025) DOI
N-TORC: Native Tensor Optimizer for Real-Time Constraints (2025) DOI
Optimized Coding and Parameter Selection for Efficient FPGA Design of Attention Mechanisms (2025) DOI
Resource Scheduling for Real-Time Machine Learning (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
IMAGine: An In-Memory Accelerated GEMV Engine Overlay (2024) DOI
The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators (2024) DOI
A Reliable and Efficient Online Solution for Adaptive Voltage and Frequency Scaling on FPGAs (2024) DOI
An optimized EEGNet processor for low-power and real-time EEG classification in wearable brain–computer interfaces (2024) DOI
Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis (2023) 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