Data Mining and Simulation
From left to right:From left to right: (back row) Pablo Gaspar, Juan Manuel Tuñas, Roberto Costumero, Alejandro Rodríguez, Ángel Rodríguez, (front row) Marta Álvarez, César Antonio Ortíz, Héctor Ambit, Ernestina Menasalvas, Pilar Herrero, Consuelo Gonzalo, Dionisio Rodríguez, Angel García.
OurTeam: We are a group of 15 researchers from the High School of Computer Engineering that also form part of the Centre for Biomedical Technology.
MIDAS is a young team with an average age of 38 years that combines the expertise of Faculty Staff with over 20 years of experience with the proactivity and enthusiasm of PhD and master students, mostly from Spain but from other nationalities too. The group maintains a close relation with Professor Myra Spiliopoulou’s group, from Germany; Joao Gama and Pedro Pereira in Portugal and with the group of Professor Mario Lillo, in Chile. We work in collaboration with hospitals, mainly from Madrid, and from France, and we keep strong relation with other groups dedicated to data analysis in Spain, such as Universidad de Granada, BSC or the Universidad de Cantabria.
Our Work: Our research group emerged 20 years ago with the main goal of data analysis for extracting knowledge that can be used on a decision-making process. Our techniques and processes cover both the analysis of structured and unstructured data: text and image. We work in different domains: marketing, aviation, agriculture and especially in the health sector. In the health sector our goal is the analysis of medical information to extract knowledge that can be the basis for the design and implementation of intelligent health applications.
Our work can be classified in three main lines:
* Data Analysis: the group is well known not only because of the application of techniques in different types of data and domains but because of the preprocessing methodology and data enrichment prior to the extraction of patterns.
* Processing and Image Analysis: the group stands out with its own algorithms for image fusion and with the application of different machine learning techniques, including Deep learning to automatic image labeling and analysis. These techniques are being applied to optical satellite images with applications in agriculture and different types of medical imaging.
* Natural Language Processing: In this area MIDAS stands for the development of algorithms for text processing in Spanish. The algorithms have been applied especially in the medical and judicial domain.
Activities and other data of interest: MIDAS was created with the aim to combine the experience of different professionals in the fields of data analysis, image processing, optimization and visualization and simulation.
The group is mainly engaged in data analysis in different domains, with special emphasis on the field of medicine, in which the group collaborates with professionals from different hospitals to analyze data at different levels: organizational, clinical notes, images, brain activity. We also conduct basic research adapted to the industry needs. In this sense, it is interesting to enhance the collaboration that we currently maintain with companies within the agriculture sector, as well as the developments in the field of remote sensing that have been carried out in this same area. The group receives both public and private funding. We can highlight the participation in European projects, including the most recent, already completed, participation in the CSA RethinkBig and in the project Resilience2050; within our current activities we can include the work in the BDVA and funded projects by EIT-HEATLH such as PAPHOS and FACET.