Spanish Network for Mathematics and Industry
The Spanish Network for Mathematics – Industry (math-in) is a private non-profit private association focused on transferring mathematical technology to business and industrial sectors, thus stimulating an increase in competitiveness in the research groups involved and industry itself.
History[edit]
The Spanish Network for Mathematics – Industry was founded on September 30, 2011 in Santiago de Compostela. It was the result of the work of a leading group of Spanish mathematicians who decided to take up the challenge of industrial mathematics innovatively, proposing a new way to drive forward mathematical knowledge transfer, one in which the role of the researchers would be fully proactive. The Association's governance structure consists of its Board of Directors and its General Assembly. The General Assembly is the supreme organ of government and nowadays it is composed of 38 Spanish research groups throughout the Spanish territory. The Board of Directors manages and represents math-in.
Board of Directors[edit]
April 2016 - Until nowadays[edit]
President | Peregrina Quintela Estévez, University of Santiago de Compostela.
Vice-president | Carlos Parés Madroñal, University of Málaga.
Secretary | José Luis Ferrín González, University of Santiago de Compostela.
Treasurer | Mikel Lezaun Iturralde, University of País Vasco.
Members | Laureano F. Escudero Bueno, University Rey Juan Carlos; Bartomeu Coll Vicens, University of the Islas Baleares; Emilio Carrizosa Priego, University of Sevilla.
September 2015 - April 2016[edit]
President | Peregrina Quintela Estévez, University of Santiago de Compostela.
Vice-president | Carlos Parés Madroñal, University of Málaga.
Secretary | Julio Rubio García, University of La Rioja.
Treasurer | Mikel Lezaun Iturralde, University of País Vasco.
Members | Laureano F. Escudero Bueno, University Rey Juan Carlos; Bartomeu Coll Vicens, University of the Islas Baleares; Emilio Carrizosa Priego, University of Sevilla; José Luis Ferrín González, University of Santiago de Compostela.
March 2014 – September 2015[edit]
President | Peregrina Quintela Estévez, University of Santiago de Compostela.
Vice-president | Carlos Parés Madroñal, University of Málaga.
Secretary | Julio Rubio García, University of La Rioja.
Treasurer | Mikel Lezaun Iturralde, University of País Vasco.
Members | Alfredo Bermúdez de Castro López-Varela, University of Santiago de Compostela; Laureano F. Escudero Bueno, University Rey Juan Carlos; Pedro Fernández de Córdoba Castellá, Polytechnic University of Valencia; Bartomeu Coll Vicens, University of Islas Baleares.
September 2011 – March 2014[edit]
President | Peregrina Quintela Estévez, University of Santiago de Compostela.
Vice-president | Aureli Alabert Romero, Autonomous University of Barcelona.
Secretary | Julio Rubio García, University of La Rioja.
Treasurer | Mikel Lezaun Iturralde, University of País Vasco.
Members | Alfredo Bermúdez de Castro López-Varela, University of Santiago de Compostela; Laureano F. Escudero Bueno, University Rey Juan Carlos; Pedro Fernández de Córdoba Castellá, Polytechnic University of Valencia; Carlos Parés Madroñal, University of Málaga.
Since 2006, Spain has promoted the transfer of mathematical knowledge through the "Ingenio Matemática" Project (i-MATH). The result of this preliminary work has been the development of a wide range of activities associated with the transfer of the knowledge, such as the publication of a catalogue service offering nearly 500 Spanish researchers, the establishment of an intensive program of visits to companies, the organisation of meeting spaces with industry, the implementation of a training offer tailored to the firm's needs, the support in the registration of intellectual property and the transformation of research led by groups into innovative solutions for the enterprises. Math-in network is made up of more than 38 research groups with extensive experience in the development of solutions for the world of business both independently or in collaboration with companies or teams working in other areas of knowledge.
Partners[edit]
- A2M_ICMAT | Mathematical Analysis Applications | Institute of Mathematical Sciences
- CDTIME | Development and Transfer of Mathematical Innovation in Business | University of Almería
- DEMACOM | Challenges in Computational Mathematics | University of Sevilla
- DATA SCIENCE | Stochastics and Operations Research | Basque Center for Applied Mathematics
- DENLIA | Nonlinear Dynamics and Stability in Aerospace Engineering | Polytechnic University of Madrid
- EDANYA | Differential Equations, Numerical Analysis and Applications | University of Málaga
- EDnL | Non Linear Differential Equations | University of Santiago de Compostela
- EDA_ICMAT | Differential Equations and Applications | Institute of Mathematical Sciences
- EIO_ICMAT | Statistics and Operations Research | Institute of Mathematical Sciences
- EOPT | Statistics and Optimization | University of País Vasco
- GATNA_ICMAT | Algebraic Geometry, Number Theory and Applications | Institute of Mathematical Sciences
- GEUVA | Statistical Applications Group | University of Valladolid
- GIOPTIM | Research Group on Optimization | University of Sevilla
- GRID[ECMB] | Interdisciplinary Group in Statistics, Computing, Medicine and Biology | University of Santiago de Compostela
- INTERTECH | Interdiscilplinary Modelling Group | Polytechnic University of Valencia.
- LOGRO | Research Group on Location | University of Sevilla
- M2NICA | Numerical Models and Methods in Engineering and Applied Sciences | University of A Coruña
- M2S2M | Mathematical Modelling and Simulation of Environmental Systems | University of Sevilla
- M3A | Mathematical Modelling with Multidisciplinary Applications | Basque Center for Applied Mathematics
- MAI | Differential Equations and Numerical Simulation Group | University of Vigo
- mat+i | Mathematical Engineering | University of Santiago de Compostela
- MGC_ICMAT | Geometric Mechanics, Control and Applications | Institute of Mathematical Sciences
- MODES | Modelling and Statistical Inference | University of A Coruña
- MODESTYA | Optimization Modelling, Decision, Statistics and Applications | University of Santiago de Compostela
- MOSISOLID | Mathematical Modelling and Numerical Simulation in Solid Mechanics | Universidade de Santiago de Compostela
- OPTECO | | Multicriteria optimization and econometric modeling applied to the socio-economic sphere | University of Málaga
- PSYCOTRIP | Programming and Symbolic Computation | University of La Rioja
- RiTO | Risk, Time & Optimization | University Rey Juan Carlos
- SCT-CRM | Consultancy and Transfer Service | Centre de Recerca Matemàtica
- SIDOR | Statistical Inference, Decision & Operations Research | University of Vigo
- TAMI | Processing and Mathematical Analysis of Digital Images | University of Islas Baleares
- TEBADM | Bayesian and Decision Statistical Techniques in Economy and Enterprise | University of Las Palmas de Gran Canaria
- TTM | Mathematical Technology Transfer | University of País Vasco
Institutional Partners[edit]
ITMATI | Technological Institute for Industrial Mathematics
Partners of sponsorship[edit]
BSH Electrodomésticos España, S. A.
Aims[edit]
According to math-in bylaws, it has the following purposes in the field of Mathematics:
- Promote and facilitate the strategic relationships between researchers and Industry.
- Increase the presence of mathematical methods and techniques in the productive sector by encouraging the participation of researchers in collaborative strategic projects with Industry.
- Catalyze the valorizing of the existing knowledge through a value training offer addressed to the Industry.
- Facilitate the internationalisation of research results by fostering partnerships with other entities in other countries through participation in R&D projects.
- Promote and lead projects of national and international collaborative research.
- Ensure competitive advantage of researchers through the registration and exploitation of research results.
- Create a favourable environment of technology-based companies arising from research results.
- Reinforce the confidence and the interest of the Industry in the mathematical community.
- Strengthen the technological image of the mathematical community in Spain.
Activities[edit]
To fulfill the above purposes, math-in focuses on promoting the transfer of knowledge and mathematical technology to business and Industry through the following activities:
- Promotion and dissemination of math-in services.
- Promotion and dissemination of the research capabilities of the math-in members.
- Valorisation of research results in the field of the Mathematics developed by math-in members.
- Promote the transfer of knowledge and mathematical technology from the associated members to Industry.
- Promotion of R&D projects aimed at innovation.
- Internationalisation of research carried out by math-in members.
- Technology surveillance in order to promote the achievement of math-in purposes.
- Training for math-in members.
- Any other activities that the General Assembly considers relevant in order to achieve math-in goals.
Mathematical Technology in Industry[edit]
Math-in network provides all business sectors and Administration with a wide range of technology solutions based on the application of mathematics.
The services provided by math-in can be grouped into three major areas:
- Computer- Aided Engineering (CAD/CAE) | Computer-Aided Engineering uses the results obtained in computer-aided design (e.g. parts, plans, images or graphics design) and in calculation computer programs to simulate, predict or study the performance of products or processes (e.g. for thermic, mechanical stress, manufacturing process studies, etc.), thus achieving significant improvement in cost, time and, in general, the monitoring of the research, development and innovation process. Computer-Aided Engineering is applied to all types of phenomena: mechanical or structural, thermal or thermodynamic, manufacturing processes (injection, stamping, forging, etc.), electronic and/or electromagnetic, fluid (gases and liquids), acoustic or vibroacoustic, environmental, multiphysics, etc.Within the CAD/CAE field, math-in meets all companies needs concerning information or advice on its possible applicability, selection, initial implementation or validation of the tools to be used, training, definition or calculation of the processes to be improved, development of customized software or interfaces between programmes, etc.
- Statistical, data analysis or decision support techniques |This mathematical techniques include different methods used, for example, to improve customer analysis, markets, products, quality, planning, risks, logistics, allocation or optimization of resources and processes, etc. These methods cover all business needs in several areas: quality control, stock control and optimization, manufacturing process control and optimization, risk or financial product analysis, business strategy, decision, logistics and planning, customer analysis and market research or product studies, exploitation of internal information (data mining, business intelligence), design of experiments, clinical trials, etc.
- Other Mathematical Techniques | Several mathematical techniques can be applied to areas such as geographical location, image or signal processing, geometry, design or visualization, bio-informatics or bio-mathematics, search and coding information or computing. Applying such techniques provides solutions in several areas: digital image processing (graphics, video, animation, image recognition), geometric analysis (computational geometry, visualization, CAD development, symbolic methods), digital signal processing, design of geographic information systems such as GIS or GPS, communication networks, information coding, cryptography and computer security, computing, computer algebra, language processors, symbolic and numeric algorithms, information and knowledge processing and search (semantica web, algorithms for Internet), bio-informatics, genomic and proteinomic, bio-mathematics (applications in life and health sciences such as, for example, diagnostic techniques, medical prescription, drug administration, growth and spread of diseases, pest control, systems biology), etc.
Examples of Success Cases Industrial Mathematics[edit]
Mathematics underlie at most of the scientific and technologigal developments and, through the Industry, contribute significantly to the generation of economic value in a wide variety of fields and activity sectors. Therefore, the value that gives the collaboration between experts from Industry and mathematicians researchers, in order to achieve success in innovative projects, is increasing.
In the following links, classified by industrial sectors, can be found some cases of successful collaboration between research groups in Mathematics and Industry:
Energy and Environment[edit]
- Temperature control in an industrial oven.
- Prediction of pollution episodes.
- Predicting the effects of a tsunami.
- Is profitable the hydrogen storage system of my wind farm?
- Simulation of flow in rivers and estuaries
- Prediction of wildfires.
- Optimal management of battery storage systems markets.
- Optimization of solar tower technology plants.
- Ganeso:simulation and optimization of a gas network.
- Green Port Energy Center.
- Algorithm to find the best rectangular region in irregular pieces and Its Implementation in wood saws.
- Adaptive computation of turbulent flow with applications in home appliance design.
- Statiscal study of the flash butt welding technique for the development of mega and tera-chains.
- Improvement of the NOAA MOST tsunami model.
Logistics and Transportation[edit]
- Reduction of noise and vibrations in buses.
- Optimization of health services supply.
- Improving human resource management.
- More efficient granite cutting techniques.
- Securing cargo transport with IMO standards.
- Planification of routes for harvesters from an agricultural cooperative.
Information Technology and Communications[edit]
- Evaluation of the effectiveness of drugs against Alzheimer.
- How vulnerable is a communication network?
- Resolution of the depth satellite images.
Economy and Finance[edit]
- Quick and effective prediction of stock market
- Optimization of cash management in banks
- Prediction of the number of losses and their cost
- Valuation of financial assets.
Biotechnology and Health[edit]
- EPIDAT: Statistics for the treatment of the epidemiologic data.
- Numerical simulation in orthodontics and dentistry.
- How to deal with bone remodeling?
- Reduction of failures in prostate cancer surgery .
[edit]
- Lubrication of boatpropellers with sea water.
- Calculation of the reliability of a submarine.
Materials and Construction[edit]
- Optimization of the silicon production process.
- Control of board production system.
Marine Resources, Aquaculture, Agriculture, Livestock and Food[edit]
- Irrigation, humidity and temperature control in a greenhouse.
- Tinned food with high nutritional value.
- More reliable product test.
Publications[edit]
- Proceedings of the II Iberian Modelling Week. Campus na Nube, 2016
- Proceedings of the 108 European Study Group with Industry. Campus na Nube, 2016
- Proceedings of the 97 European Study Group with Industry. Sacauntos Cooperativa Gráfica, 2014
- 5th Study Groups on Mathematics for Companies and Institutions. Sacauntos Cooperativa Gráfica, 2013
- Mathematical solutions for Innovative Companies. Catalogue of services offered by Spanish researchers. McGraw-Hill, 2012.
- TransMath. Innovative Solutions from Mathematical Technology. Springer, 2012.
- 4th Study Groups on Mathematical for Companies and Institutions. Unidixital, 2012.
References[edit]
- Instituto Politécnico do Porto
- REPSOL
- ECMI 2016
- CRM
- ICMAT
- TECNALIA
- La Vanguardia
- La Voz de Galicia
- EMS-European Mathematical Society
- Radio Galega
- La Razón
- Unirioja.es
- UMA.es
- El Economista
- CESGA
- Técnica Industrial
- RDIPress
- La Voz de Galicia
External links[edit]
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