Anteneh Gebregiorgis

About Anteneh Gebregiorgis

Anteneh Gebregiorgis, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of AI, Edge computing, In-memory computing, Neuromorphic Computing, Low Power Design for IoT and Approximate Computing.

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

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

PetaOps/W edge-AI Processors: Myth or reality?

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies

Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks

A lightweight architecture for real-time neuronal-spike classification

Severity-based hierarchical ECG classification using neural networks

Check for

On the Reliability of RRAM-Based Neural Networks

Anteneh Gebregiorgis Information

University

Position

Post Doc Researcher

Citations(all)

421

Citations(since 2020)

368

Cited By

141

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Anteneh Gebregiorgis Skills & Research Interests

AI

Edge computing

In-memory computing

Neuromorphic Computing

Low Power Design for IoT and Approximate Computing

Top articles of Anteneh Gebregiorgis

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

Frontiers in Neuroscience

2024/3/28

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies

2023/12/17

Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks

Scientific Reports

2023/12/4

Anteneh Gebregiorgis
Anteneh Gebregiorgis

H-Index: 7

Said Hamdioui
Said Hamdioui

H-Index: 24

A lightweight architecture for real-time neuronal-spike classification

arXiv preprint arXiv:2311.04808

2023/11/8

Severity-based hierarchical ECG classification using neural networks

IEEE Transactions on Biomedical Circuits and Systems

2023/2/6

Check for

Science of Cyber Security: 5th International Conference, SciSec 2023, Melbourne, VIC, Australia, July 11–14, 2023, Proceedings

2023/11/20

On the Reliability of RRAM-Based Neural Networks

2023/10/16

An Overview of Computation-in-Memory (CIM) Architectures

2023/8/17

Devices and Architectures for Efficient Computing In-Memory (CIM) Design

2023/7/2

Tutorial on memristor-based computing for smart edge applications

Memories-Materials, Devices, Circuits and Systems

2023/7/1

Anteneh Gebregiorgis
Anteneh Gebregiorgis

H-Index: 7

Said Hamdioui
Said Hamdioui

H-Index: 24

Mapping-aware biased training for accurate memristor-based neural networks

2023/6/11

A survey on machine learning in hardware security

ACM Journal on Emerging Technologies in Computing Systems

2023/5/18

Reliability aspects of binary vector-matrix-multiplications using ReRAM devices

Neuromorphic computing and engineering

2022/6/22

Cim-based robust logic accelerator using 28 nm stt-mram characterization chip tape-out

2022/6/13

PVT Analysis for RRAM and STT-MRAM-based Logic Computation-in-Memory

2022/5/23

Rram crossbar-based fault-tolerant binary neural networks (bnns)

2022/5/23

See List of Professors in Anteneh Gebregiorgis University(Technische Universiteit Delft)

Co-Authors

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