World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4891
World Ranking
10897
National Ranking
176

Overview

Eduardo Ros is affiliated with the University of Granada in Spain and has published extensively across multiple domains in science and engineering. Their work spans notable fields such as Computer Science, Neuroscience, and Engineering, demonstrating a multidisciplinary approach to research. The subfields of their expertise include Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Networks and Communications, Neurology, and Electrical and Electronic Engineering.

Their research explores a variety of main topics including Vestibular and auditory disorders, Network Time Synchronization Technologies, Neural dynamics and brain function, Distributed systems and fault tolerance, Advanced Vision and Imaging, Real-Time Systems Scheduling, and Motor Control and Adaptation.

Frequent collaborators in their research include Niceto R. Luque, Javier Díaz, Ignacio Abadía, Francisco Naveros, and Jesús A. Garrido, highlighting a collaborative network in their scientific community.

Eduardo Ros has published articles in several well-known venues, with multiple publications in IEEE Access and Scientific Reports, as well as contributions to Neural Networks, bioRxiv (Cold Spring Harbor Laboratory), and Science Robotics.

Representative recent papers include:

  • IEEE 1588 High Accuracy Default Profile: Applications and Challenges, 2020, IEEE Access
  • A cerebellar-based solution to the nondeterministic time delay problem in robotic control, 2021, Science Robotics
  • Implementation of a Time-Sensitive Networking (TSN) Ethernet Bus for Microlaunchers, 2021, IEEE Transactions on Aerospace and Electronic Systems
  • Digital Electrical Substation Communications Based on Deterministic Time-Sensitive Networking Over Ethernet, 2020, IEEE Access
  • Enhancing White Rabbit Synchronization Stability and Scalability Using P2P Transparent and Hybrid Clocks, 2021, IEEE Transactions on Industrial Informatics

The scientific output reflects a focus on network synchronization and communication technologies alongside neural and cognitive system modeling, connecting engineering principles with neuroscience applications.

Best Publications

  • FPGA-based real-time optical-flow system

    J. Diaz;E. Ros;F. Pelayo;E.M. Ortigosa

  • Neural networks

    Alberto Prieto;Beatriz Prieto;Eva Martinez Ortigosa;Eduardo Ros

  • A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

    Karl Pauwels;M. Tomasi;Javier Diaz Alonso;E. Ros

  • Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics

    Eduardo Ros;Richard Carrillo;Eva M. Ortigosa;Boris Barbour

  • Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.

    Egidio Falotico;Lorenzo Vannucci;Alessandro Ambrosano;Ugo Albanese

  • A real-time spiking cerebellum model for learning robot control.

    Richard R. Carrillo;Eduardo Ros;Christian Boucheny;Olivier J.-M.D. Coenen

  • Background Subtraction Based on Color and Depth Using Active Sensors

    Enrique J. Fernandez-Sanchez;Javier Diaz;Eduardo Ros

  • Real-time computing platform for spiking neurons (RT-spike)

    E. Ros;E. M. Ortigosa;R. Agis;R. Carrillo

  • Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

    Egidio D’Angelo;Lisa Mapelli;Claudia Casellato;Jesus A. Garrido;Jesus A. Garrido

  • Robust Bioinspired Architecture for Optical-Flow Computation

    G. Botella;A. Garcia;M. Rodriguez-Alvarez;E. Ros

  • Hardware description of multi-layer perceptrons with different abstraction levels

    Eva M. Ortigosa;Antonio Cañas;Eduardo Ros;Pilar Martínez Ortigosa

  • Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues

    Karl Pauwels;Leonardo Rubio;Javier Diaz;Eduardo Ros

  • Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation

    Jesús A. Garrido;Niceto R. Luque;Egidio D'Angelo;Eduardo Ros

  • PSFGA: parallel processing and evolutionary computation for multiobjective optimisation

    F. de Toro Negro;J. Ortega;E. Ros;S. Mota

  • Parallel Architecture for Hierarchical Optical Flow Estimation Based on FPGA

    F. Barranco;M. Tomasi;J. Diaz;M. Vanegas

  • Adaptive robotic control driven by a versatile spiking cerebellar network.

    Claudia Casellato;Alberto Antonietti;Jesus A. Garrido;Richard R. Carrillo

  • Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.

    Egidio Ugo D'Angelo;Alberto Antonietti;Stefano Casali;Claudia Casellato

  • A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs

    J. L. Bernier;J. Ortega;E. Ros;I. Rojas

  • Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise.

    Niceto R. Luque;Jesús Alberto Garrido;Richard R. Carrillo;Silvia Tolu

  • Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors

    Francisco Barranco;Cornelia Fermuller;Eduardo Ros

  • Superpipelined high-performance optical-flow computation architecture

    Javier Díaz;Eduardo Ros;Rodrigo Agís;Jose Luis Bernier

Frequent Co-Authors

Egidio D'Angelo
Egidio D'Angelo University of Pavia
Alberto Prieto
Alberto Prieto University of Granada
Ignacio Rojas
Ignacio Rojas University of Granada
Cornelia Fermüller
Cornelia Fermüller University of Maryland, College Park
Patrick van der Smagt
Patrick van der Smagt Volkswagen Group (United States)
Alois Knoll
Alois Knoll Technical University of Munich
Ronald Holzwarth
Ronald Holzwarth Max Planck Society
Norbert Krüger
Norbert Krüger University of Southern Denmark
Alwyn J. Seeds
Alwyn J. Seeds University College London
Simone Kühn
Simone Kühn Max Planck Institute for Human Development

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