Statistical methods are essential to handling many engineering and scientific challenges. Design of efficient, reliable, and robust Communications or Positioning systems is highly related to the advances in statistics and probability. Moreover, statistical inference allows the understanding of data and underlying processes in a very wide variety of fields such as biology, health, social, and physical sciences.
Research activities at the Statistical Inference Department focus on fundamental problems in statistics, with an emphasis on disruptive applications in Communications, Positioning, and Life Sciences. Carrying out mixed theoretical/applied research is one of our characteristics, and thus we have very strong experimental capabilities. We have demonstrated expertise in the fields of:
Positioning systems: the Department team is composed of renowned researchers in both indoor and outdoor positioning and localization systems, validated by 10+ years of expertise in Global Navigation Satellite Systems (GNSS) and other relevant technologies including UWB, WiFi, or Inertial sensors.
Communications systems: our research encompasses the design and implementation of RF front-ends; the implementation of signal processing algorithms in Software Defined Radio transceivers; the design of signal acquisition and synchronization for modern modulation schemes; and prototyping in DSP and FPGA platforms.
Life sciences: with research on Epidemiological surveillance and forecasting as well as on Inferential methods in Computational Neuroscience.
Currently, we conduct R&D with industrial partners through bilateral contracts, and we are very active in Research Projects funded by the European Commission (FP7, H2020, Marie Curie Actions, and others), the Catalan and Spanish Governments as well. We are actively looking for new collaborations and offering consultancy services.