Research Group

 Versión español

Professor Institution Research line Research Supervised Theses
Alda Serrano, Javier
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[3] Simulation and modeling of systems: applications to biology, economics, epidemiology and sociology.
 
Álvarez Liébana, Javier
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data.  
Amador Pacheco, Julia
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Amores Salvado, Javier
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Arroyo Gallardo, Javier
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
 
Calviño Martínez Aída
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
 
Camacho Miñano, María del Mar
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Carrasco González, Ramón Alberto
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[5] Data Mining & Business Intelligence techniques..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
[1] 2022. Desarrollo de un nuevo modelo RFM lingüístico difuso personalizable según las preferencias y consumo de los clientes, catálogo de productos y estrategia de marketing: aplicación en retail.
[2] 2022. Gestión estratégica de atención al cliente mediante modelos lingüísticos difusos, modelos de decisión y machine learning. Aplicación práctica en entornos B2C y B2B.
[3] 2023. A multi-criteria decision-making approach applied to responsible artificial intelligence digital cloud transformation strategy of organisations. Case study in the health sector.
Castro Cantalejo, Javier
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[4] Information processing in a competitive environment.
[1] 2021. Detección de comunidades en redes mediante el uso de medidas borrosas
Cintas del Río, María del Rosario
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
  [1] 2019. Algunas aportaciones a la toma de decisiones en clasificación supervisada. Un enfoque bipolar.
Correas Fernández, Jesús
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Escot Mangas, Lorenzo
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[5] Data Mining & Business Intelligence techniques.
[1] 2019. Data science applied to refining socio-economic indicators for decision-making.
[2] 2019. Data analysis on inequalities between men and women: stereotypes, gender norms and shared responsibility in childcare.
[3] 2020. Quantifying chaos from time-series data through Lyapunov exponents: a computational data science approach.
Espínola Vílchez, María Rosario
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques.
[1] 2021. Detección de comunidades en redes mediante el uso de medidas borrosas.
Fernández Cornejo, José Andrés
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
  [1] 2019. Data analysis on inequalities between men and women: stereotypes, gender norms and shared responsibility in childcare.
Fernández Franco, Lorenzo
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Fernández-Cabrera Marín, Luz María
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Flores Vidal, Pablo Arcadio
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data.  
García Merayo, Mercedes
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
García Villalba, Luis Javier
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Gavilán Bouzas, Diana
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
  [1] 2022. Desarrollo de un nuevo modelo RFM lingüístico difuso personalizable según las preferencias y consumo de los clientes, catálogo de productos y estrategia de marketing: aplicación en retail.
Giannerini Na, Simone Universidad de Bolonia (Italia) Análisis de Datos
(Data Science)
  [1] 2020. Quantifying chaos from time-series data through Lyapunov exponents: a computational data science approach.
Gómez González, Daniel
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[4] Information processing in a competitive environment..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
[1] 2019. Image processing problems based on the emply of human characteristics.
[2] 2019. Algunas aportaciones a la toma de decisiones en clasificación supervisada. Un enfoque bipolar.
[3] 2021. Detección de comunidades en redes mediante el uso de medidas borrosas.
[4] 2022. Gestión estratégica de atención al cliente mediante modelos lingüísticos difusos, modelos de decisión y machine learning. Aplicación práctica en entornos B2C y B2B.
[5] 2022. Medidas de polarización en redes sociales (polarization measures on online social networks)
González Arangüena, Enrique
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[4] Information processing in a competitive environment.
 
González del Campo Rodríguez Barbero, Ramón
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Gregorio Rodríguez, Carlos
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing. [1] 2022. Gestión estratégica de atención al cliente mediante modelos lingüísticos difusos, modelos de decisión y machine learning. Aplicación práctica en entornos B2C y B2B.
Gutiérrez García-Pardo, Inmaculada
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data.
 
Izquierdo Llanes, Gregorio Universidad Nacional a Distancia Análisis de Datos
(Data Science)
  [1] 2019. Data science applied to refining socio-economic indicators for decision-making.
Latorre Muñoz, María de la Concepción
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Llana Díaz, Luis
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
López Herrero, María Jesús
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[3] Simulation and modeling of systems: applications to biology, economics, epidemiology and sociology.
[1] 2022. Studying the effect of vaccination in epidemic models with stochastic transmission.
Malats Riera, Nuria CNIO: Centro Nacional de Investigaciones Oncológicas Análisis de Datos
(Data Science)
  [1] 2022. Statistical techniques for estimating causal effects in biomedical research.
Manuel García, Conrado Miguel
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[4] Information processing in a competitive environment.
[1] 2021. Marginalismo, valor de Myerson y valor posicional.
[2] 2021. Valores monótonos para juegos con cooperación imperfecta.
Martín de Castro, Gregorio
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Medina Sánchez, María Ángeles
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques.
 
Núñez García, Manuel
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Pacheco del Cerro, Enrique
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[3] Simulation and modeling of systems: applications to biology, economics, epidemiology and sociology.
 
Pareja Flores, Cristóbal
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.  
Pareja Lora, Antonio
Research activity
Universidad Alcalá de Henares Análisis de Datos
(Data Science)
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[4] Information processing in a competitive environment..
[5] Data Mining & Business Intelligence techniques..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
 
Pérez Alonso, Alicia
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Pérez Pérez, Teresa
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[3] Simulation and modeling of systems: applications to biology, economics, epidemiology and sociology.
[1] 2022. Modelos estadísticos para el metanálisis de estudios de exactitud diagnóstica: aplicación a diferentes escenarios de variabilidad entre estudios.
[2] 2022. Statistical techniques for estimating causal effects in biomedical research.
Pineda San Juan, Silvia
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
 
Portela García-Miguel, Javier
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques..
[6] Computer science and artificial intelligence. Programming and data management languages. Computational treatment of large volumes of data (Big Data). Mathematical methods and formal methods applied to information processing.
 
Pozo Juan, Mónica Universidad Carlos III Madrid Análisis de Datos
(Data Science)
  [1] 2021. Marginalismo, valor de Myerson y valor posicional.
Quirós Romero, Cipriano
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Riomoros Callejo, María Isabel
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data..
[5] Data Mining & Business Intelligence techniques.
 
Robles Morales, José Manuel
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
  [1] 2022. Medidas de polarización en redes sociales (polarization measures on online social networks)
Tinguaro Rodríguez González, Juan
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
  [1] 2019. Algunas aportaciones a la toma de decisiones en clasificación supervisada. Un enfoque bipolar.
Belope Nguema, Sabina
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
   
Segovia Vargas, María Jesús
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization.  
Susi García, María del Rosario
Personal website
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[3] Simulation and modeling of systems: applications to biology, economics, epidemiology and sociology..
[5] Data Mining & Business Intelligence techniques.
 
Valencia Delfa, José Luis
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization. [1] 2019. Data analysis on inequalities between men and women: stereotypes, gender norms and shared responsibility in childcare.
Villeta López, María del Carmen
Research activity
Universidad Complutense de Madrid Análisis de Datos
(Data Science)
[1] Data analysis techniques and applications in the fields of economics, business, sociology, health and environmental sciences. Process optimization..
[2] Data modeling, processing and visualization: social networks, text, images, spatial, temporal and space-time data.
 
Zamora Romero, Javier
Research activity
Unidad de Bioestadística Clínica, Hospital Ramón y Caja (Madrid) Análisis de Datos
(Data Science)
  [1] 2022. Modelos estadísticos para el metanálisis de estudios de exactitud diagnóstica: aplicación a diferentes escenarios de variabilidad entre estudios.