Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal AgroParisTech UPSay Institut Carnot Qualiment

Home page

Modelling, AnaLysis and knowledge Integration for food and biological ComplEx Systems

The research of the MALICES team is focused on in silico model design to represent the dynamic behaviour of complex food and biological systems for which the emergence of the global properties of these systems is the result of a combination of mechanisms that occur at different, smaller scales. The aim, for example, is to be able to control the global behaviour of a process (unit operation or chain of unit operations) while reducing its intrinsic uncertainty. How do kinetics at a microscopic scale induce different states at a macroscopic scale, and vice versa? The development of in silico models is a crucial step and one that is absolutely necessary to reach a good understanding of these complex systems as a whole, to capitalise on and to incorporate various analyses in an integrative vision, to make decisions and to address the strategic issues that INRA is faced with, such as sustainability.

The strength of the MALICES team is based on its pooled complementary skills in applied mathematics, computer science and process engineering, for a cross-fertilisation of methods and tools. MALICES develops integrated mathematical/computational approaches that are designed to deal with the bottlenecks specific to its domain, and that are customised for each subject under study.

Scientific objectives and research strategy

The main research questions of the MALICES team are: which representations, approaches, methods and tools should be used to model a complex food system?

  • Starting from a question about a food process, the MALICES team adopts a methodological approach based on:
  • Collecting and formalising all available knowledge;
  • Developing, adapting and coupling models;Integrating knowledge from various sources, including experimental data, to develop an integrated model;
  • Relying on robust optimisation (artificial evolution, genetic algorithms), visualisation and interaction for learning parameters and structures;
  • Considering uncertainty about knowledge and data.

Our activities in a few keywords

Model coupling, formalism coupling, human expertise, interactive learning, optimisation, visualisation, uncertainty.

Our research objective: development of concepts, methods and tools for modelling and analysing complex biological and food systems.

Our study models:

All subjects of relevance to the CEPIA Division and the UMR GMPA

Ongoing projects:

Europe

CAFE (FP7, 2008–2013): "Computer-Aided Food processes for control Engineering".
http://www.cafe-project.org/

DREAM (FP7, 2008–2013): "Design and development of REAlistic food Models with well- characterised micro- and macro-structure and composition".
http://dream.aaeuropae.org/

France

Carnot Qualiment Institute-MODENA Project (2012-2015): An integrated approach to the deconstruction of liquid and semi-liquid food model matrices.

PhD projects

Ongoing and defended PhDs of the MALICES team and the GMPA research unit are available on the corresponding web pages.

 doctorats en cours au sein de MALICES ainsi que les doctorats soutenus ces dernières années au GMPA sur les pages dédiées.

Members

Members of the team can be contacted:

  • by phone: +33 (0)1 30 81 + extension (click on member name).
  • by e-mail: firstname.lastname@grignon.inra.fr
Permanent members
Non-permanent members

Cédric Baudrit
Sébastien Gaucel
Évelyne Lutton
Nathalie Perrot (Scientific coordinator)
Alberto Tonda
Cristian Tréléa (Scientific coordinator)

Etienne Descamps
Thuy Minh Giang

Publications of the MALICES team

Publications of the MALICES team from 2008-2013, in peer-reviewed scientific journals and book chapters.
Read more