World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
38
Citations
5309
World Ranking
727
National Ranking
6

Engineering and Technology

D-Index
44
Citations
6913
World Ranking
5854
National Ranking
115

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Francesco Fioranelli is affiliated with Delft University of Technology in the Netherlands. Their research primarily spans the field of Engineering, with significant contributions in subfields such as Aerospace Engineering, Biomedical Engineering, Artificial Intelligence, Signal Processing, and Electrical and Electronic Engineering.

The scientist's work covers several main topics, including:

  • Advanced SAR Imaging Techniques
  • Non-Invasive Vital Sign Monitoring
  • Radar Systems and Signal Processing
  • Gait Recognition and Analysis
  • Microwave Imaging and Scattering Analysis
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Target Tracking and Data Fusion in Sensor Networks

Francesco Fioranelli has published extensively in various academic venues. Frequent publication venues include:

  • IEEE Transactions on Radar Systems
  • IEEE Sensors Journal
  • IET Radar Sonar & Navigation
  • IEEE Transactions on Aerospace and Electronic Systems
  • IET conference proceedings.

Some of the recent papers authored by or involving Francesco Fioranelli are:

  • "Suppression of Mainbeam Deceptive Jammer With FDA-MIMO Radar," 2020, IEEE Transactions on Vehicular Technology
  • "Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks," 2020, IEEE Sensors Journal
  • "Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Sequential Human Gait Classification With Distributed Radar Sensor Fusion," 2020, IEEE Sensors Journal
  • "Continuous Human Activity Recognition With Distributed Radar Sensor Networks and CNN-RNN Architectures," 2022, IEEE Transactions on Geoscience and Remote Sensing

The frequent coauthors collaborating with Francesco Fioranelli include:

  • Julien Le Kernec
  • Alexander Yarovoy
  • Olivier Romain
  • Ronny G. Guendel

In addition to journal articles, Francesco Fioranelli has contributed to book publications, including a book titled "Sensing Technology," published by Springer Science+Business Media in 2022.

Best Publications

  • Suppression of Mainbeam Deceptive Jammer With FDA-MIMO Radar

    Lan Lan;Jingwei Xu;Guisheng Liao;Yuhong Zhang

  • Bi-LSTM Network for Multimodal Continuous Human Activity Recognition and Fall Detection

    Haobo Li;Aman Shrestha;Hadi Heidari;Julien Le Kernec

  • Radar and RGB-Depth Sensors for Fall Detection: A Review

    Enea Cippitelli;Francesco Fioranelli;Ennio Gambi;Susanna Spinsante

  • Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks

    Aman Shrestha;Haobo Li;Julien Le Kernec;Francesco Fioranelli

  • Micro-Doppler based detection and tracking of UAVs with multistatic radar

    Folker Hoffmann;Matthew Ritchie;Francesco Fioranelli;Alexander Charlish

  • Review of radar classification and RCS characterisation techniques for small UAVs or drones

    Jarez S. Patel;Francesco Fioranelli;David Anderson

  • Classification of Unarmed/Armed Personnel Using the NetRAD Multistatic Radar for Micro-Doppler and Singular Value Decomposition Features

    Francesco Fioranelli;Matthew Ritchie;Hugh Griffiths

  • Micro-drone RCS analysis

    Matthew Ritchie;Francesco Fioranelli;Hugh Griffiths;Borge Torvik

  • RF Sensing Technologies for Assisted Daily Living in Healthcare: A Comprehensive Review

    Syed Aziz Shah;Francesco Fioranelli

  • Multistatic micro-Doppler radar feature extraction for classification of unloaded/loaded micro-drones

    Matthew Ritchie;Francesco Fioranelli;Hervé Borrion;Hugh Griffiths

  • Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks

    Zhaoxi Chen;Gang Li;Francesco Fioranelli;Hugh Griffiths

  • Continuous Human Motion Recognition With a Dynamic Range-Doppler Trajectory Method Based on FMCW Radar

    Chuanwei Ding;Hong Hong;Yu Zou;Hui Chu

  • Classification of loaded/unloaded micro-drones using multistatic radar

    F. Fioranelli;M. Ritchie;H. Griffiths;H. Borrion

  • Radar Signal Processing for Sensing in Assisted Living: The challenges associated with real-time implementation of emerging algorithms

    Julien Le Kernec;Francesco Fioranelli;Chuanwei Ding;Heng Zhao

  • Practical classification of different moving targets using automotive radar and deep neural networks

    Aleksandar Angelov;Andrew Robertson;Roderick Murray-Smith;Francesco Fioranelli

  • Monostatic and bistatic radar measurements of birds and micro-drone

    Matthew Ritchie;Francesco Fioranelli;Hugh Griffiths;Borge Torvik

  • Continuous Human Activity Recognition With Distributed Radar Sensor Networks and CNN–RNN Architectures

    Unknown

  • Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

    Xinyu Li;Yuan He;Francesco Fioranelli;Xiaojun Jing

  • Radar for Health Care: Recognizing Human Activities and Monitoring Vital Signs

    Francesco Fioranelli;Julien Le Kernec;Syed Aziz Shah

  • Radar sensing for healthcare

    Francesco Fioranelli;Syed Aziz Shah;Haobo Li;Aman Shrestha

  • Suppression Approach to Main-Beam Deceptive Jamming in FDA-MIMO Radar Using Nonhomogeneous Sample Detection

    Lan Lan;Guisheng Liao;Jingwei Xu;Yuhong Zhang

  • Feature Diversity for Optimized Human Micro-Doppler Classification Using Multistatic Radar

    Francesco Fioranelli;Matthew Ritchie;Sevgi Zubeyde Gurbuz;Hugh Griffiths

  • Multistatic human micro-Doppler classification of armed/unarmed personnel

    Francesco Fioranelli;Matthew Ritchie;Hugh Griffiths

Frequent Co-Authors

Hugh Griffiths
Hugh Griffiths University College London
Alexander Yarovoy
Alexander Yarovoy Delft University of Technology
Nicholas N. Jonsson
Nicholas N. Jonsson University of Glasgow
Roderick Murray-Smith
Roderick Murray-Smith University of Glasgow
Karl Woodbridge
Karl Woodbridge University College London
Sana Salous
Sana Salous Durham University
Qammer H. Abbasi
Qammer H. Abbasi University of Glasgow
Daniele Faccio
Daniele Faccio University of Glasgow
Guisheng Liao
Guisheng Liao Xidian University
Silvano Donati
Silvano Donati University of Pavia

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