World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
56
Citations
13976
World Ranking
4034
National Ranking
84

Electronics and Electrical Engineering

D-Index
52
Citations
11246
World Ranking
2509
National Ranking
64

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Enrico Macii is affiliated with the Polytechnic University of Turin in Italy. Their research spans multiple areas within engineering and computer science, with a substantial focus on electrical and electronic engineering as well as artificial intelligence. Additional specialized fields of study include industrial and manufacturing engineering, computer vision and pattern recognition, and computer networks and communications.

Their work covers several notable topics, showcasing a broad engagement with current technological challenges. These topics include:

  • Smart Grid Energy Management
  • Digital Transformation in Industry
  • Energy Load and Power Forecasting
  • Advanced Neural Network Applications
  • Advanced Battery Technologies Research
  • Solar Radiation and Photovoltaics
  • Building Energy and Comfort Optimization

Recent publications by Macii demonstrate their involvement in diverse areas of applied research. Selected papers include:

  • "Transformer neural networks for interpretable flood forecasting," 2022, Environmental Modelling & Software
  • "Solar radiation forecasting based on convolutional neural network and ensemble learning," 2021, Expert Systems with Applications
  • "A compound of feature selection techniques to improve solar radiation forecasting," 2021, Expert Systems with Applications
  • "Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices," 2021, IEEE Transactions on Biomedical Circuits and Systems
  • "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry," 2020, Electronics

Macii has published extensively, with frequent contributions to venues such as arXiv (Cornell University), Energies, Expert Systems with Applications, IEEE Transactions on Industry Applications, and IEEE Transactions on Computers.

Their collaborative network includes frequent co-authors:

  • Massimo Poncino
  • Daniele Jahier Pagliari
  • Alessio Burrello
  • Edoardo Patti
  • Lorenzo Bottaccioli

In addition to journal articles and conference papers, Macii has contributed to book literature, with at least one publication under Springer International Publishing titled "Predictive Maintenance in Smart Factories" from 2021.

Best Publications

  • Algebric Decision Diagrams and Their Applications

    R. I. Bahar;E. A. Frohm;C. M. Gaona;G. D. Hachtel

  • Algebraic decision diagrams and their applications

    R. Iris Bahar;Erica A. Frohm;Charles M. Gaona;Gary D. Hachtel

  • High-level power modeling, estimation, and optimization

    E. Macii;M. Pedram;F. Somenzi

  • Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

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

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

  • Designing low-power circuits: practical recipes

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

  • Address bus encoding techniques for system-level power optimization

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • Markovian analysis of large finite state machines

    G.D. Hachtel;E. Macii;A. Pardo;F. Somenzi

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

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

  • Clock-tree power optimization based on RTL clock-gating

    Monica Donno;Alessandro Ivaldi;Luca Benini;Enrico Macii

  • Automated segmentation of tissue images for computerized IHC analysis

    S. Di Cataldo;E. Ficarra;A. Acquaviva;E. Macii

  • 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

  • Algorithms for Approximate FSM Traversal

    Hyunwoo Cho;Gary D. Hachtel;Enrico Macii;Bernard Plessier

  • 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

  • Power-aware clock tree planning

    Monica Donno;Enrico Macii;Luca Mazzoni

  • A scalable algorithm for RTL insertion of gated clocks based on ODCs computation

    P. Babighian;L. Benini;E. Macii

  • A Multi-Patient Data-Driven Approach to Blood Glucose Prediction

    Alessandro Aliberti;Irene Pupillo;Stefano Terna;Enrico Macii

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

    Andrea Calimera;Enrico Macii;Massimo Poncino

Frequent Co-Authors

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

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