World's Best Scientists 2026 revealed!

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Computer Science

D-Index
40
Citations
6575
World Ranking
9323
National Ranking
3959

Overview

Tarek El-Ghazawi is affiliated with George Washington University in the United States. Their research spans multiple fields with a primary focus on Engineering and Computer Science. Within these fields, their work concentrates on subfields such as Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering, and Information Systems.

The scientist's research covers topics including Neural Networks and Reservoir Computing, Optical Network Technologies, Photonic and Optical Devices, Advanced Memory and Neural Computing, Cloud Computing and Resource Management, Modular Robots and Swarm Intelligence, and Advanced Materials and Mechanics.

Among their recent publications are:

  • Primer on silicon neuromorphic photonic processors: architecture and compiler (2020), published in Nanophotonics
  • Virtualizing a Post-Moore's Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator (2022), published in ACM Transactions on Embedded Computing Systems
  • Reconfigurable application-specific photonic integrated circuit for solving partial differential equations (2024), published in Nanophotonics
  • Reconfigurable Application-Specific Photonic Integrated Circuit for solving Partial Differential Equations (2022), published in arXiv (Cornell University)
  • ROC (2020), published in ACM Transactions on Parallel Computing

Tarek El-Ghazawi has collaborated frequently with several researchers, including Volker J. Sorger, Mario Miscuglio, Jeff Anderson, Engin Kayraklioglu, and Hamid Reza Imani.

Their research has been published in venues such as arXiv (Cornell University), Nanophotonics, ACM Transactions on Embedded Computing Systems, ACM Computing Surveys, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Best Publications

  • UPC: Distributed Shared-Memory Programming

    Tarek El-Ghazawi;William Carlson;Thomas Sterling;Katherine Yelick

  • UPC Language Specifications V1.1.1

    Tarek A. El-Ghazawi;George Washington;William W. Carlson;Jesse M. Draper

  • Automatic reduction of hyperspectral imagery using wavelet spectral analysis

    S. Kaewpijit;J. Le Moigne;T. El-Ghazawi

  • The Promise of High-Performance Reconfigurable Computing

    T. El-Ghazawi;E. El-Araby;Miaoqing Huang;K. Gaj

  • An evaluation of global address space languages: co-array fortran and unified parallel C

    Cristian Coarfa;Yuri Dotsenko;John Mellor-Crummey;François Cantonnet

  • Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery

    A. Agarwal;T. El-Ghazawi;H. El-Askary;J. Le-Moigne

  • UPC Performance and Potential: A NPB Experimental Study

    Tarek El-Ghazawi;Francois Cantonnet

  • Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning

    Zheyi Chen;Jia Hu;Geyong Min;Albert Y. Zomaya

  • UPC: unified parallel C

    Tarek El-Ghazawi;Lauren Smith

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    R. Amin;J. K. George;S. Sun;T. Ferreira de Lima

  • Enhancing Relocatability of Partial Bitstreams for Run-Time Reconfiguration

    T. Becker;W. Luk;P.Y.K. Cheung

  • New Hardware Architectures for Montgomery Modular Multiplication Algorithm

    Miaoqing Huang;K Gaj;T El-Ghazawi

  • Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning

    Unknown

  • Neuromorphic photonics with electro-absorption modulators.

    Jonathan K George;Armin Mehrabian;Rubab Amin;Jiawei Meng

  • Productivity analysis of the UPC language

    F. Cantonnet;Y. Yao;M. Zahran;T. El-Ghazawi

  • Guest Editors' Introduction: High-Performance Reconfigurable Computing

    Duncan Buell;Tarek El-Ghazawi;Kris Gaj;Volodymyr Kindratenko

  • PCNNA: A Photonic Convolutional Neural Network Accelerator

    Armin Mehrabian;Yousra Al-Kabani;Volker J Sorger;Tarek El-Ghazawi

  • Reconfigurable Computing: Architectures, Tools and Applications

    Andreas Koch;Ram Krishnamurthy;John McAllister;Roger Woods

  • A self-stabilizing distributed algorithm for spanning tree construction in wireless ad hoc networks

    H. Baala;O. Flauzac;J. Gaber;M. Bui

  • 2-phase GA-based image registration on parallel clusters

    Prachya Chalermwat;Tarek El-Ghazawi;Jacqueline LeMoigne

  • Exploiting Partial Runtime Reconfiguration for High-Performance Reconfigurable Computing

    Esam El-Araby;Ivan Gonzalez;Tarek El-Ghazawi

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    Rubab Amin;Jonathan George;Shuai Sun;Thomas Ferreira de Lima

Frequent Co-Authors

Volker J. Sorger
Volker J. Sorger George Washington University
Kris Gaj
Kris Gaj George Mason University
Katherine Yelick
Katherine Yelick University of California, Berkeley
Paul R. Prucnal
Paul R. Prucnal Princeton University
Bhavin J. Shastri
Bhavin J. Shastri Queen's University
Menas Kafatos
Menas Kafatos Chapman University
Ophir Frieder
Ophir Frieder Georgetown University
Alexander N. Tait
Alexander N. Tait Princeton University
Jacob B. Khurgin
Jacob B. Khurgin Johns Hopkins University
Ram Krishnamurthy
Ram Krishnamurthy Intel (United States)

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