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Emanuel Popovici

Emanuel Popovici

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
3797
World Ranking
6601
National Ranking
32

Overview

Emanuel Popovici is affiliated with University College Cork in Ireland, focusing on research that intersects computer science and medicine. Their work spans multiple subfields, including cognitive neuroscience, computer networks and communications, artificial intelligence, pulmonary and respiratory medicine, and pediatrics, perinatology, and child health.

Their frequent coauthors encompass a range of collaborators, including Andriy Temko, Dominic Lightbody, Duc-Minh Ngo, Colin C. Murphy, and Sergi Gómez-Quintana, reflecting a diverse research network.

Research published by Emanuel Popovici appears notably in the following venues:

  • Future Internet
  • IEEE Access
  • Healthcare
  • Scientific Reports
  • Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

Their scientific contributions cover main topics such as EEG and brain-computer interfaces, network security and intrusion detection, phonocardiography and auscultation techniques, neonatal and fetal brain pathology, advanced malware detection techniques, non-invasive vital sign monitoring, and cryptographic implementations and security.

Key recent papers authored or coauthored by Emanuel Popovici include:

  • "A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram," 2021, Healthcare
  • "A method for AI assisted human interpretation of neonatal EEG," 2022, Scientific Reports
  • "Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection," 2023, Future Internet
  • "HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security," 2022, Future Internet
  • "Gaussian mixture models for site-specific wind turbine power curves," 2020, Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

Best Publications

  • Energy-Efficient Low Duty Cycle MAC Protocol for Wireless Body Area Networks

    Stevan Jovica Marinkovic;Emanuel Mihai Popovici;Christian Spagnol;Stephen Faul

  • 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

  • Hardware Implementation of GF(2 m ) LDPC Decoders.

    Christian Spagnol;Emanuel M. Popovici;William P. Marnane

  • Efficient hardware for the tate pairing calculation in characteristic three

    T. Kerins;W. P. Marnane;E. M. Popovici;P. S. L. M. Barreto

  • b+WSN

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

  • Nano-Power Wireless Wake-Up Receiver With Serial Peripheral Interface

    S. J. Marinkovic;E. M. Popovici

  • Energy-Efficient TDMA-Based MAC Protocol for Wireless Body Area Networks

    Stevan Marinkovic;Christian Spagnol;Emanuel Popovici

  • Extended Wireless Monitoring Through Intelligent Hybrid Energy Supply

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

  • Hardware Implementation of ${ m GF}(2^{m})$ LDPC Decoders

    C. Spagnol;E.M. Popovici;W.P. Marnane

  • Hardware Implementation of LDPC Decoders

    Christian Spagnol;Emanuel Mihai Popovici;William Peter Marnane

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

    Michele Magno;David Boyle;Davide Brunelli;Emanuel Popovici

  • Power management techniques for Wireless Sensor Networks: A review

    Emanuel Popovici;Michele Magno;Stevan Marinkovic

  • An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors

    Bruno Srbinovski;Michele Magno;Fiona Edwards-Murphy;Vikram Pakrashi

  • Smart power unit with ultra low power radio trigger capabilities for wireless sensor networks

    Michele Magno;Stevan Marinkovic;Davide Brunelli;Emanuel Popovici

  • Wearable low power dry surface wireless sensor node for healthcare monitoring application

    M. Magno;L. Benini;C. Spagnol;E. Popovici

  • Wake-up radio receiver based power minimization techniques for wireless sensor networks

    M. Magno;S. Marinkovic;B. Srbinovski;E.M. Popovici

  • Combination of hybrid energy harvesters with MEMS piezoelectric and nano-Watt radio wake up to extend lifetime of system for wireless sensor nodes

    Michele Magno;Nathan Jackson;Alan Mathewson;Luca Benini

  • Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives

    Fiona Edwards Murphy;Emanuel Popovici;Padraig Whelan;Michele Magno

  • Design and development of a smart weighing scale for beehive monitoring

    Darren W. Fitzgerald;Fiona Edwards Murphy;William M. D. Wright;Padraig M. Whelan

  • Towards persistent structural health monitoring through sustainable wireless sensor networks

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

Frequent Co-Authors

Brendan O'Flynn
Brendan O'Flynn Tyndall National Institute
Michele Magno
Michele Magno ETH Zurich
Luca Benini
Luca Benini ETH Zurich
Davide Brunelli
Davide Brunelli University of Trento
Chiara Petrioli
Chiara Petrioli Sapienza University of Rome
Massimo Poncino
Massimo Poncino Polytechnic University of Turin
Alberto Macii
Alberto Macii Polytechnic University of Turin

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