Ardalan Najafi

Universität Bremen

H-index: 8

Europe-Germany

About Ardalan Najafi

Ardalan Najafi, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Universität Bremen, specializes in the field of Low-power digital design, arithmetic units, approximate computing, stochastic computing.

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

Exploiting Neural-Network Statistics for Low-Power DNN Inference

Cnn sensor analytics with hybrid-float6 quantization on low-power embedded FPGAs

Empirical Analysis of Full-System Approximation on Non-Spiking and Spiking Neural Networks

Approximate Computing in Critical Applications: ECG Arrhythmia Classification

Acoustic Emission Source Localization using Approximate Discrete Wavelet Transform

(POSTER) DNN Task Allocation for Edge-Aided IoT

Learning-Based On-Chip Parallel Interconnect Delay Estimation

Systematic design of low-power processing elements using stochastic and approximate computing techniques

Ardalan Najafi Information

University	Universität Bremen
Position	ITEM institute
Citations(all)	256
Citations(since 2020)	226
Cited By	124
hIndex(all)	8
hIndex(since 2020)	7
i10Index(all)	8
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Universität Bremen
Google Scholar	View Google Scholar Profile

Ardalan Najafi Skills & Research Interests

Low-power digital design

arithmetic units

approximate computing

stochastic computing

Top articles of Ardalan Najafi

Title	Journal	Author(s)	Publication Date
Exploiting Neural-Network Statistics for Low-Power DNN Inference	IEEE Open Journal of Circuits and Systems	Lennart Bamberg Ardalan Najafi Alberto Garcia-Ortiz	2024/4/12
Cnn sensor analytics with hybrid-float6 quantization on low-power embedded FPGAs	IEEE Access	Yarib Nevarez Andreas Beering Amir Najafi Ardalan Najafi Wanli Yu ...	2023/1/10
Empirical Analysis of Full-System Approximation on Non-Spiking and Spiking Neural Networks		Amir Najafi David Rotermund Ardalan Najafi Klaus R Pawelzik Alberto Garcia-Ortiz	2023/6/28
Approximate Computing in Critical Applications: ECG Arrhythmia Classification		Ardalan Najafi Amir Najafi Julia Müller Wanli Yu Alberto Garcia-Ortiz	2023/6/28
Acoustic Emission Source Localization using Approximate Discrete Wavelet Transform		Ardalan Najafi Wanli Yu Yarib Nevarez Amir Najafi Andreas Beering ...	2023/6/28
(POSTER) DNN Task Allocation for Edge-Aided IoT		Wanli Yu Yanqiu Huang Ardalan Najafi Jinming Sun Yarib Nevarez ...	2023/6/19
Learning-Based On-Chip Parallel Interconnect Delay Estimation		Amir Najafi Ardalan Najafi Yarib Nevarez Alberto Garcia-Ortiz	2022/6/8
Systematic design of low-power processing elements using stochastic and approximate computing techniques		Ardalan Najafi	2021/1/26
On the Effects of Data Distribution on Small-error Approximate Adders		Yizhi Chen Ardalan Najafi Alberto Garcia-Ortiz	2020/9/7
Stochastic wave-pipelined on-chip interconnect	IEEE Transactions on Circuits and Systems II: Express Briefs	Amir Najafi Ardalan Najafi Alberto Garcia-Ortiz	2020/3/30
Combination of task allocation and approximate computing for fog-architecture-based iot	IEEE Internet of Things Journal	Wanli Yu Ardalan Najafi Yanqiu Huang Alberto Garcia-Ortiz	2020/11/26
TAAC: Task allocation meets approximate computing for Internet of Things		Wanli Yu Ardalan Najafi Yarib Nevarez Yanqiu Huang Alberto Garcia-Ortiz	2020/10/12