Statistical Analysis of Networks and Systems (SANS)

Statistical Analysis of Networks and Systems (SANS) is a research group of the Computer Architecture Department at the Polytechnic University of Catalonia, in Barcelona (Spain). Together with the Distributed Systems Group it forms the CNDS (Computer Networks and Distributed Systems) research group.

Our main research lines are:

  • Use of machine learning techniques to analyze data captured with IoT devices, mainly applied to air quality monitoring, smart cities, and analysis of mobility patterns. We are currently working on advanced calibration techniques, and graph signal processing for analyzing data captured from sensor networks, to improve data quality, and to develop tools for automatic management of data quality. Some recent results are available at: analysis of sensory data . Currently, we are working on the national research project IMAQ on IoT monitoring of air quality.
  • Development of a robust system for obtaining experimental datasets of air pollution measurements based on low-cost sensors. We have created our own monitoring systems created around the captor nodes. Currently, we are finalizing the development of our new node, Captor-4, which can measure concentrations of O3, NO2, NO, PM, temperature, and relative humidity. A more detailed description of the Captor-4 nodes can be found here: Captor-4 description. Recently, we have coordinated the H2020 project CAPTOR (2016-2018) that ran three big pilots on tropospheric ozone monitoring in Austria, Italy and Spain, driven by grassroots activists and local communities. Using our previous nodes, Captor-2, we have generated datasets that can be found in: calibrated data 2017 ozone summer campaign, calibrated data 2018 ozone summer campaign, and raw data.
  • During the recent COVID-19 pandemic, we also have started a new research line on digital tools for pandemic mitigation. A protocol proposed by us, IDPT, to achieve interoperability between centralized digital contact tracing protocols (e.g. ROBERT used by France) and decentralized protocols (e.g. DP3T/GAEN used by many other European countries), is included in the ETSI GS E4P 007 of the ETSI Europe for Privacy-Preserving Pandemic Protection (E4P) working group.

If you are interested in following a PhD in our research group, please, send us an email (joseb at ac.upc.edu or to jorge at ac.upc.edu). We regularly have access to PhD grants. Openings are usually published during July-September.


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