World's Best Scientists 2026 revealed!
Evangelos S. Eleftheriou

Evangelos S. Eleftheriou

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Electronics and Electrical Engineering
Netherlands
2026
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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
24231
World Ranking
2154
National Ranking
18

Electronics and Electrical Engineering

D-Index
69
Citations
24852
World Ranking
947
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2018 - Member of the National Academy of Engineering For contributions to digital storage and nanopositioning technologies, as implemented in hard disk-, tape-, and phase-change memory storage systems.
  • 2002 - IEEE Fellow For contributions to equalization and coding, and for noise-predictive maximum likelihood detection in magnetic recording.

Overview

Evangelos S. Eleftheriou is affiliated with Axelera.ai in the Netherlands. Their research focuses primarily on engineering and computer science, with specific expertise in electrical and electronic engineering, artificial intelligence, and cognitive neuroscience. Key areas of study also include computer vision and pattern recognition, as well as cellular and molecular neuroscience.

The main topics in Evangelos S. Eleftheriou's work include advanced memory and neural computing, ferroelectric and negative capacitance devices, neural dynamics and brain function, neural networks and reservoir computing, advanced neural network applications, neural networks and applications, and neuroscience and neural engineering.

They have published extensively, including articles in a number of scientific venues. Some notable recent papers are:

  • Memory devices and applications for in-memory computing, 2020, Nature Nanotechnology
  • Accurate deep neural network inference using computational phase-change memory, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Mixed-Precision Deep Learning Based on Computational Memory, 2020, Frontiers in Neuroscience
  • HERMES-Core-A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs, 2022, IEEE Journal of Solid-State Circuits
  • Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses, 2020, Scientific Reports

Their work is frequently published in venues such as arXiv (Cornell University), Nature Nanotechnology, Repository for Publications and Research Data (ETH Zurich), Frontiers in Neuroscience, and IEEE Journal of Solid-State Circuits.

Evangelos S. Eleftheriou has collaborated regularly with several researchers, including:

  • Abu Sebastian
  • Stanisław Woźniak
  • Angeliki Pantazi
  • Manuel Le Gallo
  • Riduan Khaddam-Aljameh

Throughout their career, Evangelos S. Eleftheriou has been recognized with several distinctions. They became a member of the National Academy of Engineering in 2018 for contributions to digital storage and nanopositioning technologies implemented in hard disk, tape, and phase-change memory storage systems.

In 2002, they were named an IEEE Fellow for contributions to equalization and coding, and for noise-predictive maximum likelihood detection in magnetic recording.

Best Publications

  • Memory devices and applications for in-memory computing

    Abu Sebastian;Manuel Le Gallo;Riduan Khaddam-Aljameh;Evangelos Eleftheriou

  • Regular and irregular progressive edge-growth tanner graphs

    Xiao-Yu Hu;E. Eleftheriou;D.M. Arnold

  • Reduced-complexity decoding of LDPC codes

    Jinghu Chen;A. Dholakia;E. Eleftheriou;M.P.C. Fossorier

  • A Survey of Control Issues in Nanopositioning

    S. Devasia;E. Eleftheriou;S.O.R. Moheimani

  • Stochastic phase-change neurons

    Tomas Tuma;Angeliki Pantazi;Manuel Le Gallo;Manuel Le Gallo;Abu Sebastian

  • Neuromorphic computing with multi-memristive synapses

    Irem Boybat;Irem Boybat;Manuel Le Gallo;S. R. Nandakumar;S. R. Nandakumar;Timoleon Moraitis

  • Accurate deep neural network inference using computational phase-change memory.

    Vinay Joshi;Vinay Joshi;Manuel Le Gallo;Simon Haefeli;Simon Haefeli;Irem Boybat;Irem Boybat

  • Progressive edge-growth Tanner graphs

    Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold

  • Efficient implementations of the sum-product algorithm for decoding LDPC codes

    Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold;A. Dholakia

  • Tracking properties and steady-state performance of RLS adaptive filter algorithms

    E. Eleftheriou;D. Falconer

  • Write amplification analysis in flash-based solid state drives

    Xiao-Yu Hu;Evangelos Eleftheriou;Robert Haas;Ilias Iliadis

  • Mixed-precision in-memory computing

    Manuel Le Gallo;Manuel Le Gallo;Abu Sebastian;Roland Mathis;Matteo Manica;Matteo Manica

  • Recent Progress in Phase-Change Memory Technology

    Geoffrey W. Burr;Matthew J. BrightSky;Abu Sebastian;Huai-Yu Cheng

  • Filtered multitone modulation for very high-speed digital subscriber lines

    G. Cherubini;E. Eleftheriou;S. Olcer

  • "Millipede": a MEMS-based scanning-probe data-storage system

    E. Eleftheriou;T. Antonakopoulos;G.K. Binnig;G. Cherubini

  • Decoding of trellis-encoded signals in the presence of intersymbol interference and noise

    P.R. Chevillat;E. Eleftheriou

  • Low density parity check encoding method and device for data

    Evangelos Stavros Eleftheriou;Richard L Galbraith;Sedat Oelcer;エバンゲロス・スタフロス・エレフセリウ

  • Filter bank modulation techniques for very high speed digital subscriber lines

    G. Cherubini;E. Eleftheriou;S. Oker;J.M. Cioffi

  • Low-density parity-check codes for digital subscriber lines

    E. Eleftheriou;S. Olcer

  • Tutorial: Brain-inspired computing using phase-change memory devices

    Abu Sebastian;Manuel Le Gallo;Geoffrey W. Burr;Sangbum Kim

  • Write-erase endurance lifetime of memory storage devices

    Xiao-Yu Hu;Evangelos S. Eleftheriou;Robert Haas

  • Mixed-Precision 'Memcomputing'

    Manuel Le Gallo;Abu Sebastian;Roland Mathis;Matteo Manica

Frequent Co-Authors

Abu Sebastian
Abu Sebastian IBM Research - Zurich
Mark A. Lantz
Mark A. Lantz IBM Research - Zurich
Bipin Rajendran
Bipin Rajendran King's College London
Christoph Hagleitner
Christoph Hagleitner IBM (United States)
Hugo E. Rothuizen
Hugo E. Rothuizen IBM Research - Zurich
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Michel Despont
Michel Despont Swiss Center for Electronics and Microtechnology (Switzerland)
S. O. Reza Moheimani
S. O. Reza Moheimani The University of Texas at Dallas
Chung H. Lam
Chung H. Lam IBM (United States)

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