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Computer Science

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45
Citations
7978
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7221
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184

Electronics and Electrical Engineering

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World Ranking
3567
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Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to low-power circuits and systems

Overview

Massimo Poncino is affiliated with the Polytechnic University of Turin in Italy. Their research spans multiple areas within engineering and computer science, particularly focusing on electrical and electronic engineering, computer vision and pattern recognition, and artificial intelligence.

Their recent publications include:

  • "A Smart Meter Infrastructure for Smart Grid IoT Applications" (2021), published in the IEEE Internet of Things Journal
  • "Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices" (2021), published in IEEE Transactions on Biomedical Circuits and Systems
  • "Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools" (2021), published in Proceedings of the IEEE
  • "Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring" (2021), published in IEEE Transactions on Emerging Topics in Computing
  • "Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge" (2022), published in IEEE Transactions on Computers

Massimo Poncino has frequently collaborated with researchers such as Daniele Jahier Pagliari, Enrico Macii, Alessio Burrello, Luca Benini, and Yukai Chen.

Their research publications are often featured in venues including arXiv (Cornell University), Energies, IEEE Internet of Things Journal, IEEE Transactions on Computers, and IEEE Transactions on Sustainable Computing.

Main fields of study include:

  • Engineering
  • Computer Science

Subfields of study involved in their work encompass:

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Automotive Engineering

Key topics in their research are:

  • Non-Invasive Vital Sign Monitoring
  • Advanced Battery Technologies Research
  • Advanced Neural Network Applications
  • Heart Rate Variability and Autonomic Control
  • IoT and Edge/Fog Computing
  • Electric Vehicles and Infrastructure
  • Smart Grid Energy Management

Massimo Poncino has received the IEEE Fellow award in 2018 for contributions to low-power circuits and systems.

Best Publications

  • A discrete-time battery model for high-level power estimation

    L. Benini;G. Castelli;A. Macii;E. Macii

  • Discrete-time battery models for system-level low-power design

    L. Benini;G. Castelli;A. Macii;E. Macii

  • SystemC cosimulation and emulation of multiprocessor SoC designs

    L. Benini;D. Bertozzi;D. Bruni;N. Drago

  • Selective instruction compression for memory energy reduction in embedded systems

    Luca Benini;Alberto Macii;Enrico Macii;Massimo Poncino

  • The Human Brain Project and neuromorphic computing.

    Andrea Calimera;Enrico Macii;Massimo Poncino

  • Power optimization of core-based systems by address bus encoding

    L. Benini;G. De Micheli;E. Macii;M. Poncino

  • Architectures and synthesis algorithms for power-efficient bus interfaces

    L. Benini;A. Macii;M. Poncino;R. Scarsi

  • System-level power optimization of special purpose applications: the beach solution

    L. Benini;G. De Micheli;E. Macii;M. Poncino

  • Energy-aware design techniques for differential power analysis protection

    Luca Benini;Alberto Macii;Enrico Macii;Elvira Omerbegovic

  • Re-encoding sequential circuits to reduce power dissipation

    Gary D. Hachtel;Mariano Hermida;Abelardo Pardo;Massimo Poncino

  • NBTI-aware power gating for concurrent leakage and aging optimization

    Andrea Calimera;Enrico Macii;Massimo Poncino

  • Wire Placement for Crosstalk Energy Minimization in Address Buses

    L. Macchiarulo;E. Macii;M. Poncino

  • Symbolic synthesis of clock-gating logic for power optimization of synchronous controllers

    L. Benini;G. De Micheli;E. Macii;M. Poncino

  • Telescopic units: a new paradigm for performance optimization of VLSI designs

    L. Benini;E. Macii;M. Poncino;G. De Micheli

  • Layout-driven memory synthesis for embedded systems-on-chip

    L. Benini;L. Macchiarulo;A. Macii;M. Poncino

  • Increasing energy efficiency of embedded systems by application-specific memory hierarchy generation

    L. Benini;A. Macii;E. Macii;M. Poncino

  • Extending lifetime of portable systems by battery scheduling

    L. Benini;G. Castelli;A. Macii;E. Macii

  • A recursive algorithm for low-power memory partitioning

    Luca Benini;Alberto Macii;Massimo Poncino

  • Glitch power minimization by selective gate freezing

    L. Benini;G. De Micheli;A. Macii;E. Macii

  • Discharge current steering for battery lifetime optimization

    L. Benini;D. Bruni;A. Mach;E. Macii

Frequent Co-Authors

Enrico Macii
Enrico Macii Polytechnic University of Turin
Alberto Macii
Alberto Macii Polytechnic University of Turin
Luca Benini
Luca Benini ETH Zurich
G. De Micheli
G. De Micheli École Polytechnique Fédérale de Lausanne
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Fabio Somenzi
Fabio Somenzi University of Colorado Boulder
Gary D. Hachtel
Gary D. Hachtel University of Colorado Boulder
Andrea Acquaviva
Andrea Acquaviva University of Bologna
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
R. Iris Bahar
R. Iris Bahar Brown University

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