Success stories by national network
We deliver results to the demands of industry, providing added value and being a driving force for innovation. We solve companies’ challenges/problems through customised models based on mathematical technologies.
- Asymmetric piles in large concrete structures. Study and practical implementation.
- Understanding and controlling polymorphism in crystallization for pharmaceutical production in space.
- Smart waste collection with integrated sensors. Forecasting fill levels and optimizing collection routes using real-time data.
- Classification of customers into well-defined after-sales segments, providing the company with a deeper understanding of client behavior across branches.
- PROBLEM DESCRIPTION In the context of a fully automated warehouse, can Al help us reduce material movements, decrease energy consumption and lower wear and tear […]
- The proposed APLF methods can assess energy-related variable uncertainties and adapt to changes in variable patterns. The numerical results show that the proposed methods can significantly improve forecasting performance in a wide range of scenarios using efficient and flexible algorithms for adaptive online learning
- The developed methodologies provide a reliable tool for the monitoring of the mold behaviour. It makes a fast and accurate detection of any casting issue increasing safety, productivity, and quality of steel continuous casters.
- Specific pollenic risk forecast at your location allows the reduction of allergic symptoms and side costs.
- Automatic finite element (FE) meshing of anatomical structures based on medical images is a complex procedure. The resulting meshes can produce inaccurate solutions due to the poor shape of some cells or a poor mesh resolution in some regions.
- The company Microflown Technologies was interested in the prediction and mitigation of the effects of airflow in its pressure-velocity sensors, and also in the design of porous windshields to avoid undesirable airflow phenomena.
- Original mix of data collection in real time with connected objects, statistical and numerical implementation for optimized comfort with less energetic consumption.
- The main result of our project is an accurate and fast solver for atmospheric tomography optimized for the hardware of the industrial partner. The iterative real time reconstructor FEWHA is running in real time and provides an excellent reconstruction quality for the MAORY instrument.
- CIC energiGUNE has benefited from its collaboration with BCAM by incorporating atomistic simulations into their protocols for materials characterization. Considering their expertise in quantum mechanical modelling, this is a step further towards the building of multiscale schemes to accelerate the development of battery materials.
- The developed mathematical model, materialized on a GUI, allows the business manager to estimate contract price proposals according to the model presented and to compare it with the ones that were previously settled by the company.
- We analysed and clustered the IGP of 27 patients diagnosed with multiple sclerosis, Cluster 1 regroups patients with no clinical evidence of gait impairment only, while Cluster 2 regroups patients with mild walking deficiency. This suggests that the IGP detects clinically-invisible gait differences.
- The numerical simulation will allow the company to improve the current design of the inductors and to evaluate new proposals with significant savings in costs and production time.
- The application of mathematical simulation, optimization, observation and control techniques allow to achieve more efficient refrigeration facilities, with lower maintenance costs and which also reduce their environmental impact.
- A modelling and technical framework based on stochastic algorithms was conceived and implemented as a prototype code able to design the expected recipes. Nutritional data were analysed and food-pairing networks were constituted. This work was jointly done with B. Coupier (post-doc) and E. Behar (intern, EFREI/d.school) supervised by P.-Y. Louis (LMA Poitiers).
- MALDI imaging has become a standard bioanalytic procedure in pharmaceutical and medical research.
- A novel robust and accurate method for gait analysis to help caregivers in their diagnosis and treatments in physical rehabilitation.
- Using novel multilevel sampling techniques from uncertainty quantification that dramatically reduce the cost of a numerical simulation, the steel wire company Bekaert can produce steel wire with more reliable properties.
- High-resolution maps of soil provide valuable information for the agricultural and forestry industry.
- Analysis, design and implementation of adequate statistical methodology to respond to the improvement requirements of the ICT (Information and Communication Technologies) tool developed by the iAuditoria company in the performing of audits and / or inspections.
- On the basis of the results, the company was able to improve the design and operation of the solar silicon furnaces without the need to conduct costly and time consuming tests.
- OTEA enables decision support in real time offering a 24/7 service through itscontrol centre. It is estimated an energy saving of 7% per installation, a reduction of 30% in preventive maintenance visits and a reduction of 20% in corrective maintenance.
- ShipFEM is an intelligent system that helps in making decisions through monitoring: prediction of the influence of environmental conditions on port operations in each vessel through simulation.
- The numerical simulation allows to have a specific and complete range of fully qualified and quantified materials, so can offer specific solutions in terms of thermal and acoustic protection adjusted to different technical requirements.
- McLloyd tracker provides accurate speed and position estimates of horses in a race. How these data could be useful to improve selection and training?
- Energy storage to reduce energy wastes, guaranty safe electrical network for distributors, control energy resale for households.
- A unique modelling and visualization algorithm for greening the economy. We have developed cutting-edge technologies for rigorous wind velocity field approximation from sparse datasets.
- The data from airplane’s flight recorders (black boxes) are stored by companies, but they remain unused, except when an incident occurs. Our idea is to detect risky situations from these data, even for an eventless flight.
- By the 2000s, nanomaterial became industrial products, thus nanoprocesses need to be (nano)mastered. This means working on high density images / huge amount of data in an efficient way, i.e automated reliable, consistent and fast analysis.
- PROBLEM DESCRIPTION Development of intelligent systems to provide an advanced route control, allowing cooperative operations between manned aircrafts and RPA (observational operations), helping to characterize […]
- PROBLEM DESCRIPTION Reduce emissions related with port activities developing a system to supply electrical and thermal energy to a ship at port. CHALLENGES AND GOALS […]
- PROBLEM DESCRIPTION Research and development on the integrated and optimal management of natural gas transmission infrastructures. CHALLENGES AND GOALS Development of GANESO software, an IT […]
- PROBLEM DESCRIPTION Mathematical modelling and numerical simulation for solving the thermal problem arising in the solidification (phase-change) of a metal casting inside a sand mould. […]
- PROBLEM DESCRIPTION Seguros Lagun Aro wanted to increase customer satisfaction and prevent them from leaving the company by optimizing predictive models through Machine Learning techniques. […]
- PROBLEM DESCRIPTION Lantek’s goal was to find the optimal layout of 2D pieces on a large metal rectangular sheet to minimize the waste material in […]
- PROBLEM DESCRIPTION A Joint Research Unit has been created in order to carry out research on mathematical and numerical methods to solve problems on a […]
- PROBLEM DESCRIPTION Nors is one of the largest Portuguese groups in the automotive sector, acting worldwide. With around 8 M€ in stock, around 200 K […]
- PROBLEM DESCRIPTION Nors is one of the largest Portuguese groups in the automotive sector, acting worldwide. With around 8 M€ in stock, around 200 K […]
- PROBLEM DESCRIPTION The company Smartgeo Solutions was interested in developing an application, which operates on a Web platform, to optimize routes of mobile agents considering […]
- PROBLEM DESCRIPTION MCY is among the leading Italian producer leisure yachts. The main goal is to improve the seakindness and comfort of the planing hulls […]
- PROBLEM DESCRIPTION CETENA S.p.A., a Fincantieri company, was interested in reducing the hydro acoustic noise generated by propeller blades within the project PRELICA “Advanced methodologies […]
- PROBLEM DESCRIPTION Fincantieri S.p.A., one of the largest shipbuilding companies in the world, was interested in an efficient shape optimization framework to reduce the hydrodinamic […]
- PROBLEM DESCRIPTION The Global Wine Score aims at making a single rating system for all wines in the world, from a dataset of more than […]
