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Michele Magno

Michele Magno

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
7421
World Ranking
3277
National Ranking
61

Overview

Michele Magno is affiliated with ETH Zurich in Switzerland and has contributed extensively to research in engineering and computer science. Their work spans several subfields including electrical and electronic engineering, computer vision and pattern recognition, aerospace engineering, biomedical engineering, and artificial intelligence.

The primary research areas addressed by Michele Magno include robotics and sensor-based localization, indoor and outdoor localization technologies, advanced memory and neural computing, energy harvesting in wireless networks, CCD and CMOS imaging sensors, underwater vehicles and communication systems, and context-aware activity recognition systems.

Selected recent publications illustrate the scope and focus of their research:

  • "FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things" (2020, IEEE Internet of Things Journal)
  • "NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications" (2020, IEEE Transactions on Industrial Informatics)
  • "TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars" (2021, IEEE Internet of Things Journal)
  • "Neuromorphic Edge Computing for Biomedical Applications: Gesture Classification Using EMG Signals" (2022, IEEE Sensors Journal)
  • "The relevance of rock shape over mass-implications for rockfall hazard assessments" (2021, Nature Communications)

Michele Magno has collaborated frequently with a number of researchers, including:

  • Luca Benini
  • Tommaso Polonelli
  • Nicolas Baumann
  • Philipp Mayer
  • Vlad Niculescu

Their publications are found predominantly in venues such as:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Sensors Journal
  • IEEE Transactions on Instrumentation and Measurement
  • Zenodo (CERN European Organization for Nuclear Research)

Best Publications

  • Human body heat for powering wearable devices: From thermal energy to application

    Moritz Thielen;Lukas Sigrist;Michele Magno;Michele Magno;Christofer Hierold

  • Biodegradable and Highly Deformable Temperature Sensors for the Internet of Things

    Giovanni A. Salvatore;Jenny Sülzle;Filippo Dalla Valle;Giuseppe Cantarella

  • Context-Adaptive Multimodal Wireless Sensor Network for Energy-Efficient Gas Monitoring

    V. Jelicic;M. Magno;D. Brunelli;G. Paci

  • A Low Cost, Highly Scalable Wireless Sensor Network Solution to Achieve Smart LED Light Control for Green Buildings

    Michele Magno;Tommaso Polonelli;Luca Benini;Emanuel Popovici

  • Design, Implementation, and Performance Evaluation of a Flexible Low-Latency Nanowatt Wake-Up Radio Receiver

    Michele Magno;Vana Jelicic;Bruno Srbinovski;Vedran Bilas

  • Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems

    Dora Spenza;Michele Magno;Stefano Basagni;Luca Benini

  • FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

    Xiaying Wang;Michele Magno;Lukas Cavigelli;Luca Benini

  • b+WSN

    Fiona Edwards-Murphy;Michele Magno;Pádraig M. Whelan;John O'Halloran

  • A survey of multi-source energy harvesting systems

    Alex S. Weddell;Michele Magno;Geoff V. Merrett;Davide Brunelli

  • Accelerating real-time embedded scene labeling with convolutional networks

    Lukas Cavigelli;Michele Magno;Luca Benini

  • Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply

    Michele Magno;David Boyle;Davide Brunelli;Brendan O'Flynn

  • Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme

    Vana Jelicic;Michele Magno;Davide Brunelli;Vedran Bilas

  • On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT.

    Rajeev Piyare;Amy L. Murphy;Michele Magno;Luca Benini

  • InfiniTime: Multi-sensor wearable bracelet with human body harvesting

    Michele Magno;Michele Magno;Davide Brunelli;Lukas Sigrist;Renzo Andri

  • Benefits of Wake-up Radio in Energy-Efficient Multimodal Surveillance Wireless Sensor Network

    Vana Jelicic;Michele Magno;Davide Brunelli;Vedran Bilas

  • Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays

    Michele Magno;David Boyle;Davide Brunelli;Emanuel Popovici

  • An ultra low power high sensitivity wake-up radio receiver with addressing capability

    Michele Magno;Luca Benini

  • WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication

    Michele Magno;Faycal Ait Aoudia;Matthieu Gautier;Olivier Berder

  • A low-power wireless video sensor node for distributed object detection

    Aliaksei Kerhet;Michele Magno;Francesco Leonardi;Andrea Boni

  • NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications

    Massimo Ballerini;Tommaso Polonelli;Davide Brunelli;Michele Magno

  • Dynamic energy burst scaling for transiently powered systems

    Andres Gomez;Lukas Sigrist;Michele Magno;Luca Benini

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Davide Brunelli
Davide Brunelli University of Trento
Emanuel Popovici
Emanuel Popovici University College Cork
Chiara Petrioli
Chiara Petrioli Sapienza University of Rome
Brendan O'Flynn
Brendan O'Flynn Tyndall National Institute
Alessandra Costanzo
Alessandra Costanzo University of Bologna
Maurizio Valle
Maurizio Valle University of Genoa
Giovanni A. Salvatore
Giovanni A. Salvatore Ca Foscari University of Venice
Geoff V. Merrett
Geoff V. Merrett University of Southampton

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