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Maurizio Valle

Maurizio Valle

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
6781
World Ranking
5939
National Ranking
259

Overview

Maurizio Valle is affiliated with the University of Genoa in Italy. Their research spans multiple fields, primarily focusing on engineering, neuroscience, and computer science. The scientist has contributed extensively to subfields including cognitive neuroscience, biomedical engineering, electrical and electronic engineering, artificial intelligence, and human-computer interaction.

The main topics addressed in their work cover advanced sensor and energy harvesting materials, tactile and sensory interactions, advanced memory and neural computing, EEG and brain-computer interfaces, muscle activation and electromyography studies, neural networks and applications, and neural dynamics and brain function.

Recent papers by Maurizio Valle include:

  • Study Of MOS Capacitors With TiO2 And SiO2/TiO2 Gate Dielectric, 2020, Journal of Integrated Circuits and Systems
  • Smart Tactile Sensing Systems Based on Embedded CNN Implementations, 2020, Micromachines
  • Embedded Electrotactile Feedback System for Hand Prostheses Using Matrix Electrode and Electronic Skin, 2021, IEEE Transactions on Biomedical Circuits and Systems
  • Touch Modality Classification Using Recurrent Neural Networks, 2021, IEEE Sensors Journal
  • Validation of Screen-Printed Electronic Skin Based on Piezoelectric Polymer Sensors, 2020, Sensors

Coauthors frequently collaborating with Maurizio Valle include Christian Gianoglio, Alì Ibrahim, Yahya Abbass, Haydar Al Haj Ali, and Hamoud Younes.

Publications by Maurizio Valle have appeared repeatedly in the following venues:

  • 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS)
  • IEEE Sensors Journal
  • Sensors
  • IEEE Sensors Letters
  • Electronics

The scientist has also published a book titled Electronic Skin in 2022, available through River Publishers eBooks.

Best Publications

  • Tactile Sensing—From Humans to Humanoids

    R.S. Dahiya;G. Metta;M. Valle;G. Sandini

  • Directions Toward Effective Utilization of Tactile Skin: A Review

    Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng

  • Robotic Tactile Sensing: Technologies and System

    Ravinder S. Dahiya;Maurizio Valle

  • Piezoelectric oxide semiconductor field effect transistor touch sensing devices

    Ravinder S. Dahiya;Giorgio Metta;Maurizio Valle;Andrea Adami

  • Electromechanical characterization of piezoelectric PVDF polymer films for tactile sensors in robotics applications

    Lucia Seminara;Marco Capurro;Paolo Cirillo;Giorgio Cannata

  • Towards Tactile Sensing System on Chip for Robotic Applications

    R. S. Dahiya;D. Cattin;A. Adami;C. Collini

  • Piezoelectric polymer transducer arrays for flexible tactile sensors

    Lucia Seminara;Luigi Pinna;Maurizio Valle;Laura Basirico

  • Tactile-Data Classification of Contact Materials Using Computational Intelligence

    S Decherchi;P Gastaldo;R S Dahiya;M Valle

  • A novel current-mode very low power analog CMOS four quadrant multiplier

    M. Gravati;M. Valle;G. Ferri;N. Guerrini

  • A high-sensitivity tactile sensor based on piezoelectric polymer PVDF coupled to an ultra-low voltage organic transistor

    Andrea Spanu;L Pinna;Fabrizio Antonio Viola;L Seminara

  • A Controller Area Network Bus Transceiver Behavioral Model for Network Design and Simulation

    W. Prodanov;M. Valle;R. Buzas

  • A System for Electrotactile Feedback Using Electronic Skin and Flexible Matrix Electrodes: Experimental Evaluation

    Marta Franceschi;Lucia Seminara;Strahinja Dosen;Matija Strbac

  • Bioelectrochemical signal monitoring of in-vitro cultured cells by means of an automated microsystem based on solid state sensor-array.

    Leandro Lorenzelli;Benno Margesin;Sergio Martinoia;M.T Tedesco

  • Analog VLSI Implementation of Artificial Neural Networks with Supervised On-Chip Learning

    Maurizio Valle

  • An experimental analog VLSI neural network with on-chip back-propagation learning

    Maurizio Valle;Daniele D. Caviglia;Giacomo M. Bisio

  • Evaluating Energy Consumption in Wireless Sensor Networks Applications

    A. Barberis;L. Barboni;M. Valle

  • SPICE model for lossy piezoelectric polymers

    R.S. Dahiya;M. Valle;G. Metta;L. Lorenzelli

  • Tactile sensing for robotic applications

    Ravinder S. Dahiya;Maurizio Valle

  • POSFET tactile sensing chips using CMOS technology

    Ravinder S. Dahiya;Andrea Adami;Cristian Collini;Maurizio Valle

  • Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures

    C. Archambeau;M. Valle;A. Assenza;M. Verleysen

  • Tactile sensing chips with POSFET array and integrated interface electronics

    Ravinder S. Dahiya;Andrea Adami;Luigi Pinna;Cristian Collini

Frequent Co-Authors

Ravinder Dahiya
Ravinder Dahiya Northeastern University
Giorgio Metta
Giorgio Metta Italian Institute of Technology
Piero Cosseddu
Piero Cosseddu University of Cagliari
Annalisa Bonfiglio
Annalisa Bonfiglio University of Cagliari
Michele Magno
Michele Magno ETH Zurich
Kaspar Althoefer
Kaspar Althoefer Queen Mary University of London
Luca Benini
Luca Benini ETH Zurich
Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Kerstin Dautenhahn
Kerstin Dautenhahn University of Waterloo
Barbara Stadlober
Barbara Stadlober Joanneum Research

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