Angel Francisco Jiménez Fernández

Profesor Ayudante Doctor

Universidad de Sevilla

Spain

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Angel Francisco Jiménez Fernández is an Assistant Professor at Universidad de Sevilla, Spain. His research focuses on predictive maintenance using artificial intelligence, neuromorphic computing, and bio-inspired memory models. Recent articles include studies on recurrent neural networks for early aging detection, comparisons of no-code AI frameworks, and implementations of spiking systems for various applications.

Articles (13)

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2025

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2025

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2025

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2024

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2023

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2023

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2021

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2021

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2020

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2020

Collaborators (7)

Giacomo Indiveri

SWITZERLAND

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Fernando Pérez-Peña

Associate Professor

Universidad de Cádiz

SPAIN

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Thorben Schoepe

University of Groningen

NETHERLANDS

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Gabriel Jimenez-Moreno

Universidad de Sevilla

SPAIN

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Saturnino Vicente Díaz

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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Juan Pedro Dominguez-Morales

Profesor Contratado Doctor

Universidad de Sevilla

SPAIN

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Yoshifumi Nishio

Professor

Tokushima University

JAPAN

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Angel Francisco Jiménez Fernández

Research Interests

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Articles (13)

Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors

Predictive Maintenance Edge Artificial Intelligence Application Study Using Recurrent Neural Networks for Early Aging Detection in Peristaltic Pumps

No-Code Edge Artificial Intelligence Frameworks Comparison Using a Multi-Sensor Predictive Maintenance Dataset

A Bio-Inspired Implementation of a Sparse-Learning Spike-Based Hippocampus Memory Model

Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory

Closed-loop sound source localization in neuromorphic systems

Construction of a Spike-Based Memory Using Neural-Like Logic Gates Based on Spiking Neural Networks on SpiNNaker

An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems

Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems

Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification

Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed

Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA

Neuropod: A real-time neuromorphic spiking CPG applied to robotics

Collaborators (7)

Giacomo Indiveri

Fernando Pérez-Peña

Thorben Schoepe

Gabriel Jimenez-Moreno

Saturnino Vicente Díaz

Juan Pedro Dominguez-Morales

Yoshifumi Nishio

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