IMDEA Networks Institute is one of the 7 IMDEA Research Institutes created in 2006 as a non- profit public Research Institute, with the objective of performing world-class research, carrying out technology transfer and attract talented researchers to the region of Madrid. As a growing, English- speaking institute, IMDEA Networks offers a unique opportunity for pioneering scientists to develop their ideas. Its multinational team is engaged in cutting-edge fundamental science in all areas of networking. IMDEA Networks counts with a number of prestigious researchers experienced in participating in EU and national funded projects, such as eCousin, iJOIN, Associated with document Ref. Ares(2015)4428279 – 20/10/2015
CROWD, FLAVIA, GeoNet, MEDIANET, E2NET and PASITO. Research members from the IMDEA team
involved in this project have a strong publication record, including publications in top-level journals (e.g., IEEE/ACM Transactions on Networking, Journal of the ACM, IEEE Transactions on Computers, IEEE Communications Surveys & Tutorials, IEEE Communications Letters, IEEE Communication Magazine) and conferences (e.g., ACM STOC, ACM SIGCOMM e-Energy, IEEE INFOCOM, IEEE FOCS, IEEE WoWMoM, IEEE Globecom, IEEE ICC), and good experience in technology transfer to industry.
IMDEA Networks is a leading institution in the analysis of all kind of networks and graphs, with particular expertise in the following:
• Big Data Infrastructure: programming in the Hadoop ecosystem (MapReduce, HBase, Pig), setting up
infrastructures (with local resources, or in the cloud with Elastic Map Reduce), and development of new big data solutions (including Spark / Scala).
• Machine Learning: experience developing solutions based on machine learning algorithms (PCA, SVD, decision trees) and its applications to large datasets.
• Natural language processing: development of new algorithms for NLP processing, based graph analysis, with applications to topic detection and sentiment analysis.
• Graph analysis: analysis of extremely large network graphs (Giraph, Neo4j, GraphLab, R).
• Social networks: gathering information from social networks (Twitter, Facebook, Google+, Tumblr, and others), inference, modeling, and analysis of the social graph.
Interactive Systems DEI Lab
The DEI Lab at the Computer Science Department of Universidad Carlos III de Madrid is concerned with research in different areas related to interaction, collaboration and learning. The lab’s objectives are to research, develop, and transfer technology, applying their results in real projects.