Success stories

Provide local authorities and mobility-related companies with a tool for pedestrian mobility management, to be applied in organising the growing number of local, national, and international mass events taking place in the region. This tool will simulate the movement of attendees in venues, streets, or squares where the events are held. 

Generating scientific knowledge that can be transferred to society and thus jointly develop knowledge and projects, as well as bringing applied research in the field of sports performance data analysis, advanced mathematical modelling techniques and machine learning and statistical modelling techniques to the sports industry sector. To this end, the objectives will focus on the scientific, scientific-technological, generation of new knowledge and dissemination and transfer of knowledge.

Identify techniques aimed at estimating the current state of a dynamic system characterised by a nonlinear model. In addition to determining the initial state, it would be valuable if these techniques allowed for the adjustment of model parameters using a set of the most recent observations. Ideally, the selected techniques should enable the imposition of constraints on state and parameter values to prevent the identification of physically inadmissible situations. An example of such a technique is Moving Horizon Estimation (MHE).

Research on the structural integrity of high value-added components, enabling companies in the Basque Country to access the vast potential market of floating offshore wind energy.

Investigate the possibility of creating a development environment where different digital models and CAM coexist and interact. Achieve what has been termed the process metaverse through research into technologies for the virtualisation of workpieces and machining.

Research new technologies for the industrial valorisation of low-temperature residual thermal flows as support for decarbonisation.

To develop supervised learning techniques that use health data to predict COVID-19 infections' future severity. 

To investigate the hypothesis that certain types of nonliving of proto-living systems can exhibit minimal forms of goal-directed behaviour. 

To find optimal schedule for cargo ships and the sequence of each refuelling procedure. 

To develop a territorial classification system to identify the risk of arboviral infections transmitted by Aedes mosquitoes in the Basque Country.

Development of mesoscopic particlesimulation methods to better understand the mesoscopic extraction kinetics and morphologically characterization of the ground coffee microstructure.

Design and implement a model to predict non-conformities in turbine components

Development of machine learning algorithms to detect failures and the early ageing of batteries in solar trackers. 

Study of the relationship between the presence of SARS-COV2 in waste water treatment plants and the incidence of COVID-19 positive cases to develop a surveillance system for early detection of outbreaks. 

Study of the relationship between the presence of SARS-COV2 in waste water treatment plants the incidence of COVID-19 positive cases to develop a surveillance system for early detection of outbreaks. 

Analyse the available data and propose methodologies for the prediction of the time series of users' locations.

Analyse data collected by Vidrala and provide them with an action plan to improve their processes.

Development and implementation of statistical models and machine learning techniques to predict sport injuries and support the team management.

To predict the probability of renewal or non-renewal of a insurance policy in the automotive sector. 

Data analysis and development of mathematical models for performance improvement. 

Find the different profiles of common runners and identify these patterns in future runners. This will allow to follow the evolution of the different profiles at different moments of the planned schedule in order to be able to redirect the training.

Development and implementation of an application to profile the users of the WiFi network of the city of Bilbao. 

Advisory tasks on the problem of estimating the biological age. For this purpose, we have loof for and analyze the most relevant literature regarding biological age clocks using different types of biomarkers, as well as analyzing the clocks developed by other start-ups in the pharma sector.

Controlling density and flow fields help to flush efficiently tank water in a tunnel. Developing a simulation support for a successful design of a storm tank with an automatic cleaning system and identification of parameters which have major influence in the flushing section. 

Analyse the data collected to improve the Quality of Life of senior people.

Design a suitable powder feeding system to be used with the laser device developed by ETXE-TAR.

Better understanding of the market data is crucial to determine the oil price. Studying the adjustments in the pricing policy considering probabilistic approaches and scenario analysis in order to develop efficient support for decision making, and risk analysis.

Study and develop statistical methods for the analysis of the historical series of the contributions to the main water supply systems in Bilbao. 

Better understanding of the flow and heat treatment in the baffle with the aim of improving the design of the heat exchanger.

Design and develop a numerical software for extrapolating effective velocities measured on cores at the Digital Petrophysics Lab.

Bring the human health and its pathologies onto the language and methods of quantitative sciences, like mathematics and engineering.

Mathematical modelling allows a more accurate diagnosis of cardiac tissue. The computational results will be compared with the experimental data in order to improve the treatment of cardiac arrhythmias. 

To evaluate qualitatively the innovation questionnaire and provide statistical assessment for the analysis of the collected data.

Calculation of “R” factor for each meteorological station in order to build the maps of erosivity and erodibility of the Basque Country by spatial prediction.

Estimate the R factor of soil erosion for the Basque Country and project these maps under climate change scenarios.