World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
17424
World Ranking
878
National Ranking
370

Research.com Recognitions

  • 2009 - IEEE Fellow For contributions to testing and fault tolerance of digital systems

Overview

Fabrizio Lombardi is affiliated with Northeastern University in the United States and has made significant contributions in the fields of Computer Science and Engineering. Their work primarily spans Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, and Computational Theory and Mathematics.

Their research interests focus on several key topics including:

  • Low-power high-performance VLSI design
  • Advanced Memory and Neural Computing
  • Radiation Effects in Electronics
  • Advancements in Semiconductor Devices and Circuit Design
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Applications
  • Adversarial Robustness in Machine Learning

Lombardi has authored numerous publications, with frequent contributions to the following venues:

  • Proceedings of the IEEE
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • IEEE Nanotechnology Magazine

Some of the recent papers include:

  • "A Retrospective and Prospective View of Approximate Computing [Point of View]" (2020), Proceedings of the IEEE
  • "A Survey of Stochastic Computing Neural Networks for Machine Learning Applications" (2020), IEEE Transactions on Neural Networks and Learning Systems
  • "High Performance CNN Accelerators Based on Hardware and Algorithm Co-Optimization" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning" (2020), IEEE Transactions on Sustainable Computing
  • "Hybrid Partial Product-Based High-Performance Approximate Recursive Multipliers" (2020), IEEE Transactions on Emerging Topics in Computing

Lombardi collaborates frequently with several co-authors, including:

  • Shanshan Liu
  • Pedro Reviriego
  • Weiqiang Liu
  • Leila De Floriani
  • Paolo Montuschi

The scientist was recognized as an IEEE Fellow in 2009 for contributions to testing and fault tolerance of digital systems.

Best Publications

  • CNTFET-Based Design of Ternary Logic Gates and Arithmetic Circuits

    Sheng Lin;Yong-Bin Kim;Fabrizio Lombardi

  • Design and Analysis of Approximate Compressors for Multiplication

    Amir Momeni;Jie Han;Paolo Montuschi;Fabrizio Lombardi

  • New Metrics for the Reliability of Approximate and Probabilistic Adders

    Jinghang Liang;Jie Han;F. Lombardi

  • Two-Dimensional Schemes for Clocking/Timing of QCA Circuits

    V. Vankamamidi;M. Ottavi;F. Lombardi

  • Approximate XOR/XNOR-based adders for inexact computing

    Zhixi Yang;Ajaypat Jain;Jinghang Liang;Jie Han

  • A low-power, high-performance approximate multiplier with configurable partial error recovery

    Cong Liu;Jie Han;Fabrizio Lombardi

  • Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing

    Weiqiang Liu;Liangyu Qian;Chenghua Wang;Honglan Jiang

  • A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits

    Honglan Jiang;Cong Liu;Leibo Liu;Fabrizio Lombardi

  • Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation

    Honglan Jiang;Jie Han;Fei Qiao;Fabrizio Lombardi

  • Testing of quantum cellular automata

    M.B. Tahoori;Jing Huang;M. Momenzadeh;F. Lombardi

  • A Comparative Review and Evaluation of Approximate Adders

    Honglan Jiang;Jie Han;Fabrizio Lombardi

  • Protocol conformance testing using multiple UIO sequences

    Y.-N. Shen;F. Lombardi;A.T. Dahbura

  • A novel CNTFET-based ternary logic gate design

    Sheng Lin;Yong-Bin Kim;Fabrizio Lombardi

  • Characterization, test, and logic synthesis of and-or-inverter (AOI) gate design for QCA implementation

    M. Momenzadeh;Jing Huang;M.B. Tahoori;F. Lombardi

  • A Survey of Stochastic Computing Neural Networks for Machine Learning Applications

    Yidong Liu;Siting Liu;Yanzhi Wang;Fabrizio Lombardi

  • Design of a Ternary Memory Cell Using CNTFETs

    Sheng Lin;Yong-Bin Kim;F. Lombardi

  • Defects and faults in quantum cellular automata at nano scale

    M.B. Tahoori;M. Momenzadeh;Jin Huang;F. Lombardi

  • A Retrospective and Prospective View of Approximate Computing [Point of View}

    Weiqiang Liu;Fabrizio Lombardi;Michael Shulte

  • Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications

    Weiqiang Liu;Jiahua Xu;Danye Wang;Chenghua Wang

  • On the Repair of Redundant RAM's

    Chin-Long Wey;F. Lombardi

  • A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation

    Jie Han;Hao Chen;Jinghang Liang;Peican Zhu

  • Testing configurable LUT-based FPGA's

    Wei Kang Huang;F.J. Meyer;Xiao-Tao Chen;F. Lombardi

  • An approach for testing programmable/configurable field programmable gate arrays

    W.K. Huang;F. Lombardi

Frequent Co-Authors

Jie Han
Jie Han University of Alberta
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Earl E. Swartzlander
Earl E. Swartzlander The University of Texas at Austin
Yanzhi Wang
Yanzhi Wang Northeastern University
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Andre Ivanov
Andre Ivanov University of British Columbia
Giorgio Baccarani
Giorgio Baccarani University of Bologna
André DeHon
André DeHon University of Pennsylvania
Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville

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