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 interest is focused on the capture and statistical analysis of data from Internet of Things devices, applied to different areas, such as air quality monitoring, smart cities, analysis of mobility patterns, and pandemic mitigation. Current research activities focus on the following areas: sensor network calibration, machine learning techniques, mobile traffic analysis, Internet of Things (IoT) and Smart Cities applications, digital contact tracing, and security in sensor networks.

Related to this last topic, 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. The collected data can be found in: calibrated data 2017 ozone summer campaign, calibrated data 2018 ozone summer campaign, and raw data.

Currently, we are working on the research project IMAQ, in which we investigate IoT monitoring of air quality.

We have developed a data monitoring system based on nodes called Captor. The first nodes, model Captor2, were DIY nodes created by our team, based on Arduino Yun. You can find more details in this video . We have also developed a new model, Captor4, based on a Raspberry Pi board that uses I2C to interface with different shields for electrochemical, MOX, and PMx sensors. Captor4 nodes can also incorporate sensors for temperature, relative humidity and wind fields.

During the recent COVID-19 pandemic, we also have started a new research line on digital contact tracing. A protocol proposed by us, IDPT, is being currently studied as a way of achieving interoperability between centralized solutions (e.g. ROBERT used by France) and decentralized solutions (e.g. DP3T/GAEN used by many other european countries).

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. Currently we have an open position for a 4-year fellowship (deadline September 30th 2020).


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