H-Index & Metrics Best Publications
Evangelos S. Eleftheriou

Evangelos S. Eleftheriou

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 47 Citations 9,490 181 World Ranking 1337 National Ranking 605

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Electrical engineering
  • Artificial intelligence

Evangelos Eleftheriou spends much of his time researching Electronic engineering, Phase-change memory, Algorithm, Decoding methods and Equalization. His Electronic engineering research integrates issues from Modulation, Actuator, Microelectromechanical systems, Servo control and Reliability. His Phase-change memory study integrates concerns from other disciplines, such as Artificial neural network, Neuromorphic engineering, Spiking neural network and Computer architecture.

His work on Serial concatenated convolutional codes and Sequential decoding as part of general Algorithm research is often related to Memory cell, thus linking different fields of science. Equalization is a subfield of Communication channel that Evangelos Eleftheriou tackles. His research integrates issues of Discrete mathematics and Binary code in his study of Low-density parity-check code.

His most cited work include:

  • Regular and irregular progressive edge-growth tanner graphs (1282 citations)
  • A Survey of Control Issues in Nanopositioning (882 citations)
  • Reduced-complexity decoding of LDPC codes (802 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Electronic engineering, Algorithm, Communication channel, Computer hardware and Computer data storage. His Electronic engineering research incorporates elements of Equalization, Modulation, Phase-change memory, Microelectromechanical systems and Cantilever. The Phase-change memory study which covers Artificial neural network that intersects with Deep learning, Resistive random-access memory and Crossbar switch.

In his study, which falls under the umbrella issue of Algorithm, Metric and Process is strongly linked to Detector. His biological study spans a wide range of topics, including Noise, Signal and Control theory. The various areas that Evangelos Eleftheriou examines in his Low-density parity-check code study include Discrete mathematics, Combinatorics, Block code, Linear code and Turbo code.

He most often published in these fields:

  • Electronic engineering (26.49%)
  • Algorithm (16.36%)
  • Communication channel (14.03%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (9.09%)
  • Artificial neural network (7.27%)
  • Phase-change memory (11.69%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Artificial neural network, Phase-change memory, Neuromorphic engineering and Resistive random-access memory are his primary areas of study. His research in Artificial neural network intersects with topics in Computer architecture, Key, Chip and Crossbar switch. His work carried out in the field of Phase-change memory brings together such families of science as Process, Scalability, Parallel computing, Von Neumann architecture and Realization.

He interconnects Feature extraction and Electronic engineering, Memristor in the investigation of issues within Neuromorphic engineering. Many of his studies on Electronic engineering involve topics that are commonly interrelated, such as Electrical engineering. Evangelos Eleftheriou combines subjects such as State, Signal generator, Signal, Task and Topology with his study of Resistive random-access memory.

Between 2015 and 2021, his most popular works were:

  • Stochastic phase-change neurons (433 citations)
  • Neuromorphic computing with multi-memristive synapses (213 citations)
  • Recent Progress in Phase-Change Memory Technology (186 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Operating system
  • Artificial intelligence

His primary scientific interests are in Phase-change memory, Artificial neural network, Von Neumann architecture, Neuromorphic engineering and Resistive random-access memory. His Phase-change memory study integrates concerns from other disciplines, such as Process, Data stream mining, State and Key. His study in Artificial neural network is interdisciplinary in nature, drawing from both Computer architecture and Deep learning.

His studies deal with areas such as Scalability, Memristor, Computational science, Parallel computing and Computation as well as Von Neumann architecture. The Neuromorphic engineering study combines topics in areas such as Supervised training, Randomness, Electronic engineering and Statistical model. Evangelos Eleftheriou connects Electronic engineering with Amorphous phase in his study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Regular and irregular progressive edge-growth tanner graphs

Xiao-Yu Hu;E. Eleftheriou;D.M. Arnold.
IEEE Transactions on Information Theory (2005)

1687 Citations

A Survey of Control Issues in Nanopositioning

S. Devasia;E. Eleftheriou;S.O.R. Moheimani.
IEEE Transactions on Control Systems and Technology (2007)

1109 Citations

Reduced-complexity decoding of LDPC codes

Jinghu Chen;A. Dholakia;E. Eleftheriou;M.P.C. Fossorier.
IEEE Transactions on Communications (2005)

1107 Citations

Progressive edge-growth Tanner graphs

Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold.
global communications conference (2001)

648 Citations

Stochastic phase-change neurons

Tomas Tuma;Angeliki Pantazi;Manuel Le Gallo;Manuel Le Gallo;Abu Sebastian.
Nature Nanotechnology (2016)

568 Citations

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

Xiao-Yu Hu;E. Eleftheriou;D.-M. Arnold;A. Dholakia.
global communications conference (2001)

539 Citations

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

E. Eleftheriou;D. Falconer.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1986)

477 Citations

Write amplification analysis in flash-based solid state drives

Xiao-Yu Hu;Evangelos Eleftheriou;Robert Haas;Ilias Iliadis.
Proceedings of SYSTOR 2009: The Israeli Experimental Systems Conference (2009)

405 Citations

Filtered multitone modulation for very high-speed digital subscriber lines

G. Cherubini;E. Eleftheriou;S. Olcer.
IEEE Journal on Selected Areas in Communications (2002)

403 Citations

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

E. Eleftheriou;T. Antonakopoulos;G.K. Binnig;G. Cherubini.
asia pacific magnetic recording conference (2002)

374 Citations

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