The Distributed, Parallel, and Collaborative Systems (DPCS) group is focused on the development of distributed and parallel systems at different scales (small groups, clusters, or Internet). In particular, we pay special attention to peer-to-peer, shared memory, message passing computing paradigms, and HPC scientific applications. In addition, we are also interested in the design of collaborative systems and applications.
The Internet Computing & Systems Optimization (ICSO) group focuses on the use of industrial analytics (algorithms and software solutions) to support complex decision-making in the areas of transportation and logistics, production, real-time positioning, smart cities, and finance. To attain this goal, the group promotes the use of simheuristic algorithms, which combine metaheuristic methods with simulation techniques in order to face real-life environments characterized by dynamic and uncertainty conditions. Moreover, the group designs location based systems and context aware recommender systems outdoors, as well as indoor.