Francisco Martínez Álvarez

Francisco Martínez Álvarez

Associate Professor

 

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Francisco Martínez-Álvarez is an Associate Professor in the Computer Science Division at Pablo de Olavide University. He received his Degree in Telecommunication Engineer in 2005, his M.S. Degree in Computer Science in 2007 and his Ph.D. in Computer Science in 2010, which was awarded with the extraordinary Ph.D. prize.

He has completed up to four long research stays at top universities: Université de Lyon 1, New York University, Universidad de Chile and Université de Lyon 2.

His main research lines include time series, data science and big data analytics, with more than 120 papers published. He has been supervisor of three doctoral theses and participated in a great number of research projects, including a Europen one (Interreg). Currently, he is principal investigator of a Spanish project (Retos Investigación). Along with Prof. Alicia Troncoso, founded and leads the Data Science & Big Data Lab since 2015.

The commitment with the knowledge transfer to industry is undoubtful. During the last years, he has been principal investigator in many projects involved in IoT, machine learning, data mining and artificial intelligence, cooperating with more than 10 firms.

Since 2013, he has also been holding management positions at Pablo de Olavide University, such as Secretary of the School of Engineering, Head of the Division of Computer Science or General Director for Infrastructures, Campus and Sustainability.

 

Teaching

At Pablo de Olavide University, I am currently teaching in Degree of Information Systems Engineering:

  • Distributed Systems (Coordinator)
  • Algorithmics – II (Coordinator)

Additionally, I teach at Universidad Nacional de Educación a Distancia (UNED), in the Degree in Computer Engineering. The subjects I have been teaching since 2007 are:

  • Computer networks
  • Fundamentals of digital systems
  • Computer engineering – I
  • Computer engineering – III

At Pablo de Olavide University, I am teaching in Master in Computer Science:

  • IT Management (Coordinator)
  • High Performance Computing

Also at Pablo de Olavide University, I am teaching in Master in Advanced Bioinformatics Analysis:

  • Data Science and Big Data

Projects

  1. 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.
  2. Automatic diagnosis of toxoplasmosis chorioretinitis in children using AI techniques. Principal Investigator: Miguel García Torres. Funding: Consejo Nacional de Ciencia y Tecnología (CONACYT), Paraguay. 2019-2021.

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

RTC-2016-5524-2. IA2GIP: Inteligencia artificial aplicada a la gestión de plagas
Principal Investigator: Francisco Martínez Álvarez
2016-2018

TIN2014-55894-C2-2-R. Big Time-Aware Data: Análisis de datos masivos indexados en el tiempo
Principal Investigator: Alicia Troncoso Lora
2015-2018

TIN2011-28956-C02-01. Análisis inteligente de información biomédica
Principal Investigator: Jesús S. Aguilar Ruiz
2012-2015

TIN2010-09967-E. Creación de la Red Española de Series Temporales
Principal Investigator: Héctor Pomares Cintas
2010-2011

TIN2010-09163-E. Red Española de Minería de Datos y Aprendizaje
Coordinator: José C. Riquelme Santos
2010

TIN2006-27675-E. Red Española de Minería de Datos
Coordinator: José C. Riquelme Santos
2007-2008

TIN-68084-C02-00. Modelos Avanzados en Minería de Datos: Escalabilidad y Aplicación Biológica
Principal Investigator: José C. Riquelme Santos
2008-20
11

TIN2004-00159. MINERVA: Técnicas emergentes de minería de datos para la extracción de conocimento en grandes
volúmenes de información: aplicación a datos científicos e industriales

Principal Investigator: José C. Riquelme Santos
2005-2007

Net LIoT: Diseño e implementación de red y plataforma Smart Lantia IoT
Principal Investigator: Francisco Martínez Álvarez
2018-2020
Industrial partner: Lantia IOT

ITC-20181064. SMARTPORTS: Plataforma digital de servicios de logística portuaria
Principal Investigator: Gualberto Asencio Cortés
2018-2020
Industrial partner: ec2ce

REGIONS4FOOD. Confección de un catálogo de inventario de datos y tecnologías del sector agroalimentario
Principal Investigator: Gualberto Asencio Cortés
2018-2019
Industrial partner: Junta de Andalucía (Consejería de Agricultura, Pesca y Desarrollo Rural)

CONBIDA. Construcción basada de big data: modelos predictivos para la transformación digital de procesos en la construcción
Principal Investigator: Alicia Troncoso Lora
2018-2019
Industrial partner: Detea

ANAMERLEC. Análisis de datos asociados a la predicción del mercado eléctrico
Principal Investigator: Alicia Troncoso Lora
2017-2018
Industrial partner: Isotrol

easyM2M: Nuevos protocolos de comunicación para la creación de Smart Cities
Principal Investigator: Francisco Martínez Álvarez
2017-2018
Industrial partner: Lantia IOT

ITC-20161178. AQUASIG: Sistema inteligente de gestión del abastecimiento y consumo urbano de agua
Principal Investigator: Francisco Martínez Álvarez
2016-2018
Industrial partner: Geographica

CECOVEL. Centro de control del vehículo eléctrico
Principal Investigator: Jesús Riquelme Santos
2015-2017
Industrial partner: Red Eléctrica de España

ITC-20151078. Optimización de la conservación de la infraestructura ferroviaria para transporte urbano
Principal Investigator: Francisco Martínez Álvarez
2015-2017
Industrial partner: ec2ce

PRY153/14. Servicio web para el acceso a la información en portales open data
Principal Investigator: Alicia Troncoso Lora
2014-2016
Industrial partner: Junta de Andalucía (Consejería de la Presidencia)

EXP377/09/I/00. Estudio de condicionantes de la ocurrencia de incendios forestales y cambios de ocupación de suelo en Andalucía con minería de datos
Principal Investigator: Francisco Martínez Álvarez
2009-2010
Industrial partner: Junta de Andalucía (Consejería de Medio Ambiente)

P12-TIC-1728. Técnicas avanzadas para el análisis de datos temporales. Aplicación a terremotos y contaminación ambiental
Principal Investigator: Alicia Troncoso Lora
2014-2018

APPC1212345. Servicio de predicción de terremotos en tiempo real en Chile
Principal Investigator: Francisco Martínez Álvarez
2014-2015

APPC1213439. Prototipo de predicción de terremotos en tiempo real: aplicación para la Península Ibérica.
Principal Investigator: Francisco Martínez Álvarez
2013-2014

P07-TIC-02611. Sistemas Inteligentes para Descubrir Patrones de Comportamiento. Aplicación a Bases de Datos Biológicas
Principal Investigator: Jesús S. Aguilar Ruiz
2008-2012

R&D Activities

  1. Big Data, Academic Editor (BIGDATA)
  2. Plos ONE, Academic Editor (PONE)
  3. SoftwareX, Academic Editor (SOFTX)
  4. Energies, Topic Editor (ENERGIES)
  1. Nature | Letters (NATURE)
  2. Applied Soft Computing (ASOC)
  3. IEEE Transactions on Knowledge and Data Engineering (TKDE)
  4. Neurocomputing (NEUCOM)
  5. Integrated Computer-Aided Engineering (ICAE)
  6. Applied Energy (APEN)
  7. IEEE Transactions on Systems, Man and Cybernectics: Systems (SMCA)
  8. Computers and Geosciences (CAGEO)
  9. Expert System With Applications (ESWA)
  10. Advances in Data Analysis and Clasification (ADAC)
  11. Neural Processing Letters (NEPL)
  12. IEEE Transactions on Industrial Informatics (TII)
  13. Electric Power Systems Research (EPSR)
  14. Memetic Computing (MEME)
  15. Knowledge and Information Systems (KAIS)
  16. Journal of Applied Geophysics (APPGEO)
  17. Journal of Environmental Informatics (JEI)
  18. Pattern Recognition Letters (PRLETTERS)
  19. Computational Intelligence (COIN)
  20. Solar Energy (SE)
  21. Earth Science Informatics (ESIN)
  22. Annals of Management Science (AMS)
  23. Neural Computing and Applications (NCAA)
  24. Computers and Electronics in Agriculture (COMPAG)
  25. Computational Materials Science (COMMAT)
  26. Earthquake Engineering and Engineering Vibration (EEEV)
  27. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)
  28. Applied Computational Intelligence and Soft Computing (ACISC)
  29. Soil Dynamics and Earthquake Engineering (SOILDYN)
  30. International Journal of Mechanics and Materials in Desing (MAMD)
  31. Remote Sensing (REMOTESENS)
  32. Entropy (ENTROPY)
  33. Croatian Operational Research Review (CRORR)
  34. Scientia Iranica Journal (SI)
  35. The R Journal (R)
  36. Information Fusion (INFFUS)
  37. Data and Knowledge Engineering (DATAK)
  38. Jourmal of Environmental Management (JEMA)
  39. Advances in Software Engineering (ADES)
  40. Advanced Engineering Informatics (ADEVI)
  41. Applied Computing and Informatics (ACI)
  42. NRIAG Journal of Astronomy and Geophysics (NRIAG)
  1. Organizing committee in EvoStar (EvoStar’20)
  2. Special Sesson in International Conference on EUropean Transnational Educational (ICEUTE’20)
  3. Local Chair in International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO’19)
  4. Local Chair in International Conference on Computational Intelligence in Security for Information Systems (CISIS’19)
  5. Local Chair in International Conference on EUropean Transnational Educational (ICEUTE’19)
  6. Special Session in International Work-Conference on Time Series Analysis (ITISE’17)
  7. General Chair in I Encuentro empresarial para el desarrollo de proyectos I+D+i en el entorno big data (EEBIG’18)
  8. Local Chair in Artificial Intelligence Summer School (EVIA’16)
  9. Local Chair in International Conference on Hybrid Artificial Intelligence Systems (HAIS’16)
  10. Special Session in IEEE International Conference on Hybrid Artificial Intelligence Systems (HAIS’11, HAIS’13)
  11. Special Session in IEEE World Congress on Nature and Biologically Inspired Computing (NABIC’11)
  12. Special Session in International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO’13, SOCO’14)
  1. International Conference on Artificial Intelligence and Machine Learning (CAIML’20)
  2. International Conference on Internet of Things, Big Data and Security (IoTBS’17IoTBS’18IoTBS’19, IoTBS’20)
  3. International Conference on Soft Computing and Pattern Recognition (SoCPaR’18)
  4. IEEE International Conference on Hybrid Artificial Intelligence Systems (HAIS’11HAIS’12HAIS’13HAIS’14HAIS’15HAIS’16HAIS’17HAIS’18HAIS’19HAIS’20)
  5. International Conference on Knowledge Discovery and Information Retrieval (KDIR’11KDIR’12KDIR’13KDIR’14KDIR’15KDIR’16)
  6. IEEE International Conference on Data Mining – Workshop DaMEMO (ICDM’16)
  7. International Conference on Agents and Artificial Intelligence (ICAART’13ICAART’14ICAART’15ICAART’16ICAART’17ICAART’18ICAART’19)
  8. International Conference on Pattern Recognition Applications and  Methods (ICPRAM’13ICPRAM’14ICPRAM’15ICPRAM’16, ICPRAM’17ICPRAM’18, ICPRAM’19)
  9. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO’13IWBBIO’14IWBBIO’15IWBBIO’16IWBBIO’17, IWBBIO’18IWBBIO’19, IWBBIO’20)
  10. International Joint Conference on Computational Intelligence (IJCCI’17)
  11. International Conference on Man-Machine Interactions (ICMMI’11ICMMI’13ICMMI’15 ICMMI’17 ICMMI’19)
  12. International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO’15SOCO’16SOCO’17SOCO’18SOCO’19, SOCO’20)
  13. International Work-Conference on Time Series (ITISE’14ITISE’15ITISE’16ITISE’17ITISE’18, ITISE’19ITISE’20)
  14. Simposio de Teoría y Minería de Datos (TAMIDA’10TAMIDA’13TAMIDA’15TAMIDA’16TAMIDA’18, TAMIDA’20)
  15. International Workshop on Data Analytics for Renewable Energy Integration (DARE’14DARE’16DARE’17)
  16. European Network Intelligence Conference (ENIC’16)
  17. Mexican International Conference on Artificial Intelligence (MICAI’13MICAI’14MICAI’15)
  18. Euro-China Conference on Intelligent Data Analysis and Applications (ECC’14)
  19. IEEE Symposium on Computational Intelligence in Industry (CII’13)
  20. World Congress on Information and Communication Technologies (WICT’12)
  21. International Conference on Neural Computation Theory and Applications  (NCTA’12NCTA’13NCTA’14)
  22. International Conference on Evoluationary Computation Theory and Applications (ECTA’12ECTA’13)
  23. Jornadas Andaluzas de Informática (JAI’11)
  24. Workshop on Time Series (WTS’11)
  25. IEEE International Conference on Intelligent Systems Design and Applications (ISDA’09ISDA’12ISDA’13)
  26. International Workshop on Mining of Non-Conventional Data (MINCODA’09)
  27. International Conference on Enterprise Information Systems (ICEIS’08)
  28. International Workshop on Data Mining and Artificial Intelligence (DMAI’08DMAI’09)
  29. Latin Ibero-American Congress on Operations Research (CLAIO’08)
  30. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE’10)
  31. IEEE International Conference on Hybrid Systems (HIS’08)
  32. European Conference on Machine Learning (ECML’07)
  33. Jornadas de Ingeniería del Software y Bases de Datos (JISBD’07)
  34. Conferencia de la Asociación Española de Inteligencia Artificial (CAEPIA‘07)
  35. International Conference on Intelligent Data Engineering and Automated Learning (IDEAL‘07)

Students

1. Ricardo L. Talavera Llames. Técnicas avanzadas de preducción para big data en el contexto de las smart cities.
Co-directed with Dr. Alicia Troncoso. 2016-2019.

2. Antonio Galicia de Castro. Técnicas de predicción escalables para big data temporales.
Co-directed with Dr. Alicia Troncoso. 2017-2019.

3. José L. Amaro Mellado. Statistical analysis of different seismogenic zonings of the Iberian Peninsula and adjacent areas through a GIS.
Co-directed with Dr. Antonio Morales Esteban. 2015-2019 (awarded with the International Mention).

4. Emilio Florido Navarro. 2014-?
Co-directed with Dr. José Luis Aznarte Mellado.

5. Rubén Pérez Chacón. 2016-?
Co-directed with Dr. Alicia Troncoso.

6. Manuel Jesús Fernández Gómez. 2016-?
Co-directed with Dr. Alicia Troncoso.

7. Antonio Fernández Gómez. 2018-?
Co-directed with Dr. Alicia Troncoso.

8. Miguel Ángel Molina Cabanillas. 2018-?
Co-directed with Dr. Gualberto Asencio Cortés.

9. José Francisco Torres Maldonado. 2019-?
Co-directed with Dr. Alicia Troncoso.

1. Álvaro Pita Martín (2012): Una metaheurística para la extracción de reglas de asociación. Aplicación a terremotos.
Co-directed with Dr. Alicia Troncoso.

2. José María Luna Romera (2012): Minería de datos aplicada a la predicción de terremotos.
Co-directed with Dr. José Riquelme.

3. Ricardo L. Talavera Llames (2013): Desarrollo de una metodología para el reconocimiento de patrones precursores de grandes terremotos.
Co-directed with Dr. José Riquelme.

4. Francisco Javier Galán Montaño (2013): Metodología para el análisis de terremotos de gran magnitud.
Co-directed with Dr. Cristina Rubio-Escudero.

5. José A. Martín Bermúdez (2014): Desarrollo de un algoritmo de predicción de series temporales usando en big data.
Co-directed with Dr. José Riquelme.

6. Antonio Galicia de Castro (2017): Técnicas escalables para la predicción de series temporales de gran dimensión.

7. Carlos Alberto Silva Hoyos (2017): Sistema de información para el análisis de datos masivos. Aplicación a un entorno real.

8. Reyes Urbano Fernández (2018), Horizonte big data.
Co-directed with Dr. Cristina Rubio-Escudero.

9. Patricia Jiménez Herrera (2018), Aprendizaje automático de características a partir de imágenes usando Deep Learning.

10. José Antonio Gómez Álvarez (2018), Análisis de distintos tipos de datos sanitarios asociados a pacientes con enfermedad diagnosticada, enfocado a la detección de patrones y tendencias que permitan predecir y evitar futuras complicaciones y enfermedades.
Co-directed with Dr. Cristina Rubio-Escudero.

11. Samuel Conesa Ordóñez (2019), Explotación de bases de datos NoSQL en entornos big data.
Co-directed with Dr. Gualberto Asencio Cortés

12. Marina Cortés Vargas (2019), Infraestructura escalable y visual para el desarrollo y producción de modelos Big Data.
Co-directed with Dr. Gualberto Asencio Cortés

1. Daniel Muñiz Amian (2015): Earthquake Predictor.

2. Luis C. Díaz Chamorro (2015): Desarrollo de un algoritmo para la detección automática de patrones precursores de terremotos.

3. Manuel J. Fernández (2015): Desarrollo de una metaheurística basada en aprendizaje de datos no balanceados para la predicción de terremotos de gran magnitud.

4. Antonio M. Fernández Gómez (2016): Servicio web para el despliegue automático de clusters Spark con integración de aplicaciones.

5. Samuel Conesa Ordóñez (2017): Sistema de gestión interna de Hermandades.

6. José F. Torres Maldonado (2017): Sistema de información para el despliegue remoto de clusters y procesamiento de grandes volúmenes de datos.

7. Daniel Expósito Jaramillo (2018), Sistema de información para el tratamiento de datos masivos usando computación de alto rendimiento.

8. José A. Díaz Romero (2018), Sistema de gestión interna de paquetería.

9. Juan Antonio Rodríguez Rodríguez (2019), Sistema de información para la explotación de datos masivos en el contexto de IoT.

Publications

Show all

128 entries « 1 of 9 »

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 | Tags: big data, deep learning, energy, time series

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 , 2020.

Abstract | Links | BibTeX | Tags: big data, deep learning, energy, time series

R. Pérez-Chacón and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand Journal Article

Information Sciences, 540 , pp. 160-174, 2020.

Abstract | Links | BibTeX | Tags: big data, energy, time series

M. Nazeriye and A. Haeri and F. Martínez-Álvarez

Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption - A Data Mining Approach Journal Article

Applied Sciences, 10 (10), pp. 3589, 2020.

Abstract | Links | BibTeX | Tags: energy, time series

A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration Journal Article

Big Data Research, 19-20 , pp. 100135, 2020.

Abstract | Links | BibTeX | Tags: big data, time series

G. Santamaría-Bonfil and M. B. Ibáñez and M. Pérez-Ramírez and G. Arroyo-Figueroa and F. Martínez-Álvarez

Learning analytics for student modeling in virtual reality training systems: Lineworkers case Journal Article

Computers and Education, 151 , pp. 103871, 2020.

Abstract | Links | BibTeX | Tags: education

F. Moleshi and A. Haeri and F. Martínez-Álvarez

A novel hybrid GA–PSO framework for mining quantitative association rules Journal Article

Soft Computing, 24 (6), pp. 4645-4666, 2020.

Abstract | Links | BibTeX | Tags: association rules

K. Asim and E Elawadi and F. Martínez-Álvarez and I. A. Niaz and S. R. M. Sayed and T. Iqbal

Seismicity Analysis and Machine Learning Models for Short-Term Low Magnitude Journal Article

Soil Dynamics and Earthquake Engineering, 130 , pp. id105932, 2020.

Links | BibTeX | Tags: natural disasters, time series

D. T. Bui and N.-D. Hoang and F. Martínez-Álvarez and P.-T. T. Ngo and P. V. Hoa and T. D. Pham and P. Samui and R. Costache

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area Journal Article

Science of the Total Environment, 701 , pp. id134413, 2020.

Links | BibTeX | Tags: natural disasters, time series

F. Martínez-Álvarez and D. T. Bui

Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management (Editorial) Journal Article

Remote Sensing, 12 (2), pp. 301, 2020, ISSN: 2072-4292.

Abstract | Links | BibTeX | Tags: big data, natural disasters

2019

F. Martínez-Álvarez and A. Morales-Esteban

Big data and natural disasters: New approaches for temporal and spatial massive data analysis (Editorial) Journal Article

Computers and Geosciences, 129 , pp. 38-39, 2019.

Links | BibTeX | Tags: big data, natural disasters, time series

C. Gómez-Quiles and G. Asencio-Cortés and A. Gastalver-Rubio and F. Martínez-Álvarez and A. Troncoso and J. Manresa and J. C. Riquelme and J. M. Riquelme

A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system Journal Article

IEEE Access, 7 , pp. 120840-120856, 2019.

Links | BibTeX | Tags: energy, time series

C. Rubio-Escudero and F. Martínez-Álvarez and E. Atencia and A. Troncoso

Deployment of an internal quality assurance system at Pablo de Olavide University of Seville: improving students skills Conference

ICEUTE 10th International Conference on European Transnational Education, 951 , Advances in Intelligent Systems and Computing 2019.

Links | BibTeX | Tags: education

J. L. Amaro-Mellado and D. Antón and M. Pérez-Suárez and F. Martínez-Álvarez

Game-based Student Response System applied to a multidisciplinary teaching context Conference

ICEUTE 10th International Conference on European Transnational Education, 951 , Advances in Intelligent Systems and Computing 2019.

Links | BibTeX | Tags: education

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 | Tags: deep learning, energy, time series

128 entries « 1 of 9 »