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Electronics and Electrical Engineering

D-Index
35
Citations
7491
World Ranking
5456
National Ranking
25

Overview

Shahar Kvatinsky is affiliated with the Technion - Israel Institute of Technology in Israel. Their primary field of study is Engineering, with a focus on Electrical and Electronic Engineering as the predominant subfield.

The researcher's work spans various areas within electrical engineering and related disciplines. Major topics covered in their publications include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Neuroscience and Neural Engineering
  • Semiconductor materials and devices
  • Neural Networks and Reservoir Computing
  • Phase-change materials and chalcogenides

Kvatinsky has contributed significantly to academic literature, with a collection of recent papers illustrating an emphasis on memory technologies, neuromorphic computing, and resistive memory devices. Notable papers include:

  • "A full spectrum of computing-in-memory technologies," 2023, Nature Electronics
  • "Experimental Demonstration of Memristor-Aided Logic (MAGIC) Using Valence Change Memory (VCM)," 2020, IEEE Transactions on Electron Devices
  • "Roadmap to neuromorphic computing with emerging technologies," 2024, APL Materials
  • "Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey," 2020, Proceedings of the IEEE
  • "A memristive deep belief neural network based on silicon synapses," 2022, Nature Electronics

Their frequent co-authors comprise researchers with whom they have collaborated on numerous occasions, including:

  • Ronny Ronen
  • Orian Leitersdorf
  • Barak Hoffer
  • Eilam Yalon
  • Ben Perach

Shahar Kvatinsky's publications commonly appear in several academic venues, reflecting the broad reach of their research. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Electron Devices
  • IEEE Solid-State Circuits Magazine
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • Frontiers in Electronic Materials

Best Publications

  • TEAM: ThrEshold Adaptive Memristor Model

    S. Kvatinsky;E. G. Friedman;A. Kolodny;U. C. Weiser

  • MAGIC—Memristor-Aided Logic

    Shahar Kvatinsky;Dmitry Belousov;Slavik Liman;Guy Satat

  • VTEAM: A General Model for Voltage-Controlled Memristors

    Shahar Kvatinsky;Misbah Ramadan;Eby G. Friedman;Avinoam Kolodny

  • Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies

    Shahar Kvatinsky;Guy Satat;Nimrod Wald;Eby G. Friedman

  • Logic Design Within Memristive Memories Using Memristor-Aided loGIC (MAGIC)

    Nishil Talati;Saransh Gupta;Pravin Mane;Shahar Kvatinsky

  • MRL — Memristor Ratioed Logic

    Shahar Kvatinsky;Nimrod Wald;Guy Satat;Avinoam Kolodny

  • Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training

    Daniel Soudry;Dotan Di Castro;Asaf Gal;Avinoam Kolodny

  • Memristor-based IMPLY logic design procedure

    Shahar Kvatinsky;Avinoam Kolodny;Uri C. Weiser;Eby G. Friedman

  • Two-terminal floating-gate transistors with a low-power memristive operation mode for analogue neuromorphic computing

    Loai Danial;Evgeny Pikhay;Eric Herbelin;Nicolas Wainstein

  • Sneak-path constraints in memristor crossbar arrays

    Yuval Cassuto;Shahar Kvatinsky;Eitan Yaakobi

  • Memristor for computing: Myth or reality?

    Said Hamdioui;Shahar Kvatinsky;Gert Cauwenberghs;Lei Xie

  • Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era

    Ardavan Pedram;Stephen Richardson;Mark Horowitz;Sameh Galal

  • Logic operations in memory using a memristive Akers array

    Yifat Levy;Jehoshua Bruck;Yuval Cassuto;Eby G. Friedman

  • Resistive Associative Processor

    Leonid Yavits;Shahar Kvatinsky;Amir Morad;Ran Ginosar

  • Models of memristors for SPICE simulations

    Shahar Kvatinsky;Keren Talisveyberg;Dmitry Fliter;Avinoam Kolodny

  • The Desired Memristor for Circuit Designers

    S. Kvatinsky;E. G. Friedman;A. Kolodny;U. C. Weiser

  • SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput

    Rotem Ben-Hur;Ronny Ronen;Ameer Haj-Ali;Debjyoti Bhattacharjee

  • A Systematic Approach to Blocking Convolutional Neural Networks

    Xuan Yang;Jing Pu;Blaine Burton Rister;Nikhil Bhagdikar

  • Memristive logic: A framework for evaluation and comparison

    John Reuben;Rotem Ben-Hur;Nimrod Wald;Nishil Talati

  • Experimental Demonstration of Memristor-Aided Logic (MAGIC) Using Valence Change Memory (VCM)

    Barak Hoffer;Vikas Rana;Stephan Menzel;Rainer Waser

  • Efficient Algorithms for In-Memory Fixed Point Multiplication Using MAGIC

    Ameer Haj-Ali;Rotem Ben-Hur;Nimrod Wald;Shahar Kvatinsky

  • Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era

    Ardavan Pedram;Stephen Richardson;Sameh Galal;Shahar Kvatinsky

Frequent Co-Authors

Avinoam Kolodny
Avinoam Kolodny Technion – Israel Institute of Technology
Eby G. Friedman
Eby G. Friedman University of Rochester
Pierre-Emmanuel Gaillardon
Pierre-Emmanuel Gaillardon University of Utah
Mark Horowitz
Mark Horowitz Stanford University
Eric Pop
Eric Pop Stanford University
Ran Ginosar
Ran Ginosar Technion – Israel Institute of Technology
Rainer Waser
Rainer Waser RWTH Aachen University
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Stephan Menzel
Stephan Menzel Forschungszentrum Jülich
Jinfeng Kang
Jinfeng Kang Peking University

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