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Raffaele Gravina

Raffaele Gravina

D-Index & Metrics

Computer Science

D-Index
38
Citations
6239
World Ranking
10221
National Ranking
308

Overview

Raffaele Gravina is affiliated with the University of Calabria in Italy. Their primary research focus spans the fields of Engineering and Computer Science, with specific contributions to subfields such as Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Cardiology and Cardiovascular Medicine.

Their scholarly output reflects engagement with various topics including Context-Aware Activity Recognition Systems, IoT and Edge/Fog Computing, Wireless Body Area Networks, ECG Monitoring and Analysis, Indoor and Outdoor Localization Technologies, Gaze Tracking and Assistive Technology, and Molecular Communication and Nanonetworks.

Among recent publications associated with Raffaele Gravina are:

  • "Multi-user activity recognition: Challenges and opportunities," 2020, Information Fusion
  • "Wearable Body Sensor Networks: State-of-the-Art and Research Directions," 2020, IEEE Sensors Journal
  • "A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques," 2022, Computer Methods and Programs in Biomedicine
  • "IoT-Based Smart Health System for Ambulatory Maternal and Fetal Monitoring," 2020, IEEE Internet of Things Journal
  • "Compressed Sensing Approach for Physiological Signals: A Review," 2023, IEEE Sensors Journal

Raffaele Gravina has collaborated frequently with a number of coauthors, most prominently including:

  • Giancarlo Fortino
  • Qimeng Li
  • Ye Li
  • Bharat Lal
  • Gianluca Aloi

Their publications appear regularly in established venues, with multiple contributions to:

  • IEEE Sensors Journal
  • IEEE Internet of Things Journal
  • Procedia Computer Science
  • Information Fusion
  • Sensors

In addition to journal articles, Gravina has contributed to book literature, including a publication with Springer Science+Business Media titled Data Science and Internet of Things, published in 2021.

Best Publications

  • Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

    Raffaele Gravina;Parastoo Alinia;Hassan Ghasemzadeh;Giancarlo Fortino

  • Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications

    G. Fortino;R. Giannantonio;R. Gravina;P. Kuryloski

  • An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

    Pasquale Pace;Gianluca Aloi;Raffaele Gravina;Giuseppe Caliciuri

  • Enabling IoT interoperability through opportunistic smartphone-based mobile gateways

    G. Aloi;G. Caliciuri;G. Fortino;R. Gravina

  • A framework for collaborative computing and multi-sensor data fusion in body sensor networks

    Giancarlo Fortino;Stefano Galzarano;Raffaele Gravina;Wenfeng Li

  • PEA: Parallel electrocardiogram-based authentication for smart healthcare systems

    Yin Zhang;Raffaele Gravina;Huimin Lu;Massimo Villari

  • From Modeling to Implementation of Virtual Sensors in Body Sensor Networks

    N. Raveendranathan;S. Galzarano;V. Loseu;R. Gravina

  • Posture Detection Based on Smart Cushion for Wheelchair Users

    Congcong Ma;Wenfeng Li;Raffaele Gravina;Giancarlo Fortino

  • SPINE: a domain-specific framework for rapid prototyping of WBSN applications

    Fabio Bellifemine;Giancarlo Fortino;Roberta Giannantonio;Raffaele Gravina

  • Multi-user activity recognition: Challenges and opportunities

    Qimeng Li;Qimeng Li;Raffaele Gravina;Ye Li;Saeed H. Alsamhi

  • A Java-Based Agent Platform for Programming Wireless Sensor Networks†

    Francesco Aiello;Giancarlo Fortino;Raffaele Gravina;Antonio Guerrieri

  • Cloud-based Activity-aaService cyber–physical framework for human activity monitoring in mobility

    Raffaele Gravina;Congcong Ma;Pasquale Pace;Gianluca Aloi

  • DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications

    Philip Kuryloski;Annarita Giani;Roberta Giannantonio;Katherine Gilani

  • Modeling and Simulating Internet-of-Things Systems: A Hybrid Agent-Oriented Approach

    Giancarlo Fortino;Raffaele Gravina;Wilma Russo;Claudio Savaglio

  • Gait-based identification for elderly users in wearable healthcare systems

    Fangmin Sun;Weilin Zang;Raffaele Gravina;Giancarlo Fortino

  • Kernel fusion based extreme learning machine for cross-location activity recognition

    Zhelong Wang;Donghui Wu;Raffaele Gravina;Giancarlo Fortino

  • Automatic Methods for the Detection of Accelerative Cardiac Defense Response

    Raffaele Gravina;Giancarlo Fortino

  • A Mobile Multi-Technology Gateway to Enable IoT Interoperability

    G. Aloi;G. Caliciuri;G. Fortino;R. Gravina

  • An agent-based signal processing in-node environment for real-time human activity monitoring based on wireless body sensor networks

    F. Aiello;F. L. Bellifemine;G. Fortino;S. Galzarano

  • Adaptive sliding window based activity recognition for assisted livings

    Congcong Ma;Wenfeng Li;Jingjing Cao;Juan Du

  • SPINE-HRV: A BSN-Based Toolkit for Heart Rate Variability Analysis in the Time-Domain

    Alessandro Andreoli;Raffaele Gravina;Roberta Giannantonio;Paola Pierleoni

Frequent Co-Authors

Giancarlo Fortino
Giancarlo Fortino University of Calabria
Antonio Liotta
Antonio Liotta Free University of Bozen-Bolzano
Edmund Seto
Edmund Seto University of Washington
Roozbeh Jafari
Roozbeh Jafari Texas A&M University
Hassan Ghasemzadeh
Hassan Ghasemzadeh Arizona State University
Allen Y. Yang
Allen Y. Yang University of California, Berkeley
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Jari Hyttinen
Jari Hyttinen Tampere University
Peter X. Liu
Peter X. Liu Carleton University
Guofu Zhou
Guofu Zhou South China Normal University

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