Research and Development Projects

Change-point Management: Active Sensing and Ensemble Learning (CAIMAN)

Funded by: 
Ministerio de Economia, Industria y Competitividad (TEC2017-86921-C2-1-R)
Duration: 
2018-2020

Online detection of abrupt changes in time series has received much attention in the past due to its importance in applications such as structural health monitoring or target detection and tracking. In particular, the signal processing community has established the basic theory of change-point detection, which more recently has also attracted the interest of the machine learning community.

Coding and Signal Processing for Emerging Wireless Communication and Sensor Networks (CARMEN)

Funded by: 
Ministerio Economia y Competitividad (TEC2016-75067-C4-4-R)
Duration: 
2017-2019

CARMEN is a three-year (2017-2019) research project sponsored by Gobierno de España (TEC2016-75067-C4-1-R). CARMEN addresses two major trends in current wireless networks: radio interfaces with unprecedented high data rates and Wireless Sensor Networks (WSN).

Advances in Kernel methods for Structured Data (KERMES)

Funded by: 
Ministerio Economia y Competitividad (TEC2016-81900-REDT)
Duration: 
2017-2018

Kernel machines and related Bayesian approaches, such as Gaussian processes, have been widely and successfully used in practice for dealing with such data structures for regression and classification. Kernel methods allow to encode prior knowledge about the data characteristics, to learn the underlying latent functions explaining the data; and allow the combination of different data modalities. The long-term vision of KERMES is tied to open new frontiers and foster research towards new kernel algorithms, a stepping stone before the more ambitious far-end goal of machine reasoning.

COMONSENS Network (TEC2015-69648-REDC)

Funded by: 
Ministerio Economia y Competitividad
Duration: 
2016-2017

The COMONSENS Network aims at the fertilization of the research collaboration links initiated and developed during the COMONSENS project both among the 10 participating research groups in Spain and with external participants and networks. The COMONSENS project, www.comonsens.org, involved 135 researchers and surpassed all originally agreed performance objectives. The COMONSENS Network will continue the biannual COMONSENS workshops, which took place between 2009 and 2014.

Advanced Machine Learning Techniques for Pattern Recognition in Time Series (PRISMA)

Funded by: 
Ministerio de Economía y Competitividad (TEC2014-57402-JIN)
Duration: 
2015-2017

The goal of PRISMA is to advance the state of the art in machine learning theory and algorithms that exploit temporal information. PRISMA aims to develop a general probabilistic framework to deal with temporal dynamics in time series, based on Bayesian graphical models for temporal pattern recognition. Furthermore, PRISMA aims to extend the state-of-the-art in kernel methods and machine learning algorithms that deal explicitly with the temporal variable in pattern recognition problems. The developed theoretical framework will be evaluated in applications from several key areas of the modern digital society.

Distance sensing technical study and algorithm development

Funded by: 
SAYME wireless sensor network
Duration: 
2015-04 - 2016-04

This Project will provide technical and scientific support for the design and development of a distance measurement industrial system and for its integration in the SAYME wireless sensor networks system. Several sensor technologies will be considered and their compliance with the low cost, low power and small form factor specifications of the SAYME system will be evaluated. Moreover, signal processing algorithms will be developed to process sensor signals in order to provide reliable and accurate measurements.

Radio Access Techniques for Heterogeneous Wireless Networks (RACHEL)

Funded by: 
MINECO, TEC2013-47141-C4-3-R
Duration: 
2014-2016

Mobile communications market forecasts an exponential growth of mobile subscriptions and data traffic over the next few years. Such trend is driven by a new generation of wireless users equipment, the proliferation of data rate intensive applications and machines willing to communicate over the mobile networks. Conventional approaches to design cellular networks such as increasing the number of macrocell sites, or enhancing the macrocell radio access features, are widely believed to be insufficient to avoid the foreseeable collapse of currently deployed mobile networks.

Development of an Automatic System for Detection and Classification of Defects in Steam Generator Tubes (AAUT)

Funded by: 
TECNATOM, S.A.
Duration: 
2014-2016

Desarrollo de un nuevo software para el análisis automático de tubos de generadores de vapor inspeccionados con la técnica de las corrientes inducidas.

Cooperative and cognitive strategies for interference management in wireless communication networks (COSIMA)

Funded by: 
Miccin, Plan Nacional I+D+i, (TEC2010-19545-C04-03)
Duration: 
2011-2013

The objective of COSIMA is the development of novel communication methods at the physical layer level for the interference management in wireless communication networks. Specifically, COSIMA focuses on two paradigms that, undoubtedly, will be key ingredients of future wireless networks: cooperation and cognition. Cooperative strategies are those in which several transmitters and/or receivers coordinate among them to improve efficiency or increase their performance inside a wireless network.

Pages