José F. Torres

José F. Torres

Assistant Professor

Citations and socials

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José F. Torres Maldonado received the Degree of Computer Science (2017) and a Master Degree of Computer Science from Pablo de Olavide University, Seville, Spain (2018). He received his Ph.D. in Computer Science at Pablo de Olavide University in March 2022, where he currently is an Assistant Teacher. He also works as Assistant Teacher at Universidad Nacional de Educación a Distancia (UNED). Furthermore, he is currently an invited teacher in two master degrees: “Máster Universitario en Inteligencia Artificial” at  the Spanish Association for Artificial Intelligence (AEPIA), and “Mestrado das Internet dais Cosas” at Instituto Politécnico de Beja (Portugal). His research focuses on Big Data, Time Series forecasting, Artificial Intelligence and Deep Learning techniques.

He’s the author of 10 articles in international journals indexed in the JCR (Q1 and Q2) and author of 8 articles in international conference. In addition, he has also been a reviewer in many international conferences, including IEEE International Conference on Data Science and Advanced Analytics (DSAA), Conference on Health Information Science (HIS), International Conference Soft Computing and Pattern Recognition (SoCPaR), or International Conference on Pattern Recognition Applications and Methods (ICPRAM), among others.

His research activity is developed in the Data Science & Big Data Lab, having participated in several public/private projects, highlighting four of them: “Big Data Streaming: Análisis de datos masivos continuos. Modelos predictivos” and “Big Time-Aware Data: Análisis de datos masivos indexados en el tiempo”, both founded by the Spanish Ministry of Economy and Competitiveness, “CONBIDA: Construcción basada de big data: modelos predictivos para la transformación digital de procesos en la construcción”, co-founded by DETEA and “ANAMERLEC: Análisis de datos asociados a la predicción del mercado eléctrico”, co-founded by ISOTROL.

Teaching

Computer Science (Major: Information Systems), Pablo de Olavide University
  • Programming Fundamentals
  • Object-oriented Programming
  • Advanced Programming
  • Technology Integration (Coordinator)
  • Fundamentals of Information Systems (former)
  • Project engineering (former)
Computer Engineering, National University of Distance Education (UNED)
  • Database Systems
  • Operating Systems
  • Design and Administration of Operating Systems
  • Computer graphics
  • Databases
  • Fundamentals of Artificial Intelligence
  • Criminality and Computer Security (former)
Advanced Bioinformatics Analysis, Pablo de Olavide University
  • Data Science and Big Data
Artificial Intelligence, Menéndez Pelayo International University
  • Complex and Temporal Data

Projects

0313_PERSISTAH_5_P. Earthquake resilient schools in the region of Algarve and Huelva.

Principal Investigator: João M. C. Estêvão (Partner Pablo de Olavide University: Francisco Martínez Álvarez).
Funding: European Union (POCTEP).
2016-2020.

TIN2017-88209-C2-1-R. Big Data Streaming: Análisis de datos masivos continuos. Modelos predictivos.

Principal Investigator: Alicia Troncoso Lora, Francisco Martínez Álvarez
2018-2020

TIN2014-55894-C2-2-R. Big Time-Aware Data: Análisis de datos masivos indexados en el tiempo.

Principal Investigator: Alicia Troncoso Lora
2015-2018

Net LIoT: Diseño e implementación de red y plataforma Smart Lantia IoT

Principal Investigator: Francisco Martínez Álvarez
Industrial partner: Lantia IOT
2018-2020

CONBIDA. Modelos predictivos para la gestión colaborativa de estimaciones en procesos de relación con el cliente

Principal Investigator: Alicia Troncoso Lora
Industrial partner:  Detea
2018-2019

easyM2M. Nuevos protocolos de comunicación para la creación de Smart Cities

Principal Investigator: Francisco Martínez Álvarez
Industrial partner: Lantia IOT
2017-2019

ANAMERLEC. Análisis de datos asociados a la predicción del mercado eléctrico

Principal Investigator: Alicia Troncoso Lora
Industrial partner:  Isotrol
2017-2018

ITC-20161178. AQUASIG: Sistema inteligente de gestión del abastecimiento y consumo urbano de agua

Principal Investigator: Francisco Martínez Álvarez
Industrial partnerGeographica
2016-2018

ITC-20151078. Optimización de la conservación de la infraestructura ferroviaria para transporte urbano

Principal Investigator: Francisco Martínez Álvarez
Industrial partner:  ec2ce
2015-2017

Publications

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2024

D. Gutiérrez-Avilés and J. F. Torres and F. Martínez-Álvarez and J. Cugliari

An evolutionary triclustering approach to discover electricity consumption patterns in France Conference

SAC 39th Annual ACM Symposium on Applied Computing, 2024.

Abstract | BibTeX

C. G. García-Soto and J. F. Torres and M. A. Zamora-Izquierdo and J. Palma and A. Troncoso

Water consumption time series forecasting in urban centers using deep neural networks Journal Article

Applied Water Science, 14 , pp. 1-14, 2024.

Abstract | Links | BibTeX

2023

D. Hadjout and A. Sebaa and J. F. Torres and F. Mártinez-Álvarez

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market Journal Article

Expert Systems with Applications, 227 , pp. 120123, 2023.

Abstract | Links | BibTeX

J. F. Torres and S. Valencia and F. Martínez-Álvarez and N. Hoyos

Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning Conference

IWANN 17th International Work-Conference on Artificial Neural Networks, 14135 , Lecture Notes in Computer Science 2023.

Links | BibTeX

A. Vellinger and J. F. Torres and F. Divina and W. Vanhoof

Neuroevolutionary Transfer Learning for Time Series Forecasting Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 749 , Lecture Notes in Networks and Systems 2023.

Links | BibTeX

2022

D. Hadjout and J. F. Torres and A. Troncoso and A. Sebaa and F. Martínez-Álvarez

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market Journal Article

Energy, 243 , pp. 123060, 2022.

Abstract | Links | BibTeX

J. F. Torres and F. Martínez-Álvarez and A. Troncoso

A deep LSTM network for the Spanish electricity consumption forecasting Journal Article

Neural Computing and Applications, 34 , pp. 10533-10545, 2022.

Abstract | Links | BibTeX

2021

K.-T. T. Bui and J. F. Torres and D. Gutiérrez-Avilés and V. H. Nhu and F. Martínez-Álvarez and D. T. Bui

Deformation forecasting of a hydropower dam by hybridizing a Long Short-Term Memory deep learning network with the Coronavirus Optimization Algorithm Journal Article

Computer-Aided Civil and Infrastructure Engineering, 37 , pp. 1368-1386, 2021.

Abstract | Links | BibTeX

A. Melara and J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

D. Hadjout and J. F. Torres and A. Sebaa and F. Martínez-Álvarez

Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods Conference

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

Links | BibTeX

J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Electricity consumption time series forecasting using Temporal Convolutional Networks Conference

CAEPIA Conference of the Spanish Association for Artificial Intelligence , Lecture Notes in Artificial Intelligence 2021.

BibTeX

J. F. Torres and D. Hadjout and A. Sebaa and F. Martínez-Álvarez and A. Troncoso

Deep Learning for Time Series Forecasting: A Survey Journal Article

Big Data, 9 (1), pp. 3-21, 2021.

Abstract | Links | BibTeX

2020

F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting Journal Article

Applied Sciences, 10 (16), pp. 5487, 2020.

Abstract | Links | BibTeX

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

2019

J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Random Hyper-Parameter Search-Based Deep Neural Network for Power Consumption Forecasting Conference

IWANN 15th International Work-Conference on Artificial Neural Networks, 11506 , Lecture Notes in Computer Science 2019.

Links | BibTeX

23 entries « 1 of 2 »