IMDEA Networks
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The Global Computing Group explores distributed computing systems and social networks in the widest sense. Among others it has the following lines of research: (i) research on volunteer and crowd-based computing, with emphasis on game-theoretic aspects; (ii) research on techniques for energy efficiency in networks and data centers; (iii) analysis of online social networks using big data, machine learning, and natural language processing technologies.
We conduct research on multiple aspects of distributed and networking systems, both from analytical and experimental points of view. Some of our specific lines of research are:
- Scalable distributed computing and algorithms
- Energy efficient computing and computing for energy efficiency
- Big data and cloud computing
- Social networks analysis, and large graphs analysis
- Data analysis and business intelligence
- Machine learning and recommendation engines
- Natural language processing
- Crowdsourcing and volunteer computing systems
- Fault tolerant distributed systems
Highlights and Media presence
- “De nouveaux algorithmes pour le stockage de données partagées et les archives” Learn more…
- Best Solution Approach Award at Artificial Intelligence Hackathon 2016 goes to IMDEA Networks research team Learn more…
- Héctor Cordobés from IMDEA Networks receives Honorable Mention at Data Science Awards Spain 2016 Learn more…
- Joint UC3M-IMDEA Networks-Telefonica team wins I-COM 2016 Data Science Hackathon Award Learn more…
- Making Data Centers Green Learn more…
- Containing a Superintelligent AI Is Theoretically Impossible Learn more…
- Project meeting and public event for NOTRE in Madrid Learn more…
- NOTRE Kick-off Meeting Learn more…
Collaborations
We also have a wide experience of collaboration with industry, and have experience with a number of current technological platforms:
