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Last update: May 2021

Menu Logo Principal logoFoodMC EU

COST Action CA15118 FoodMC


List of participants interested in WG4 scientific purposes

(updated on November, 2017)

Surname, Name





Bredweg, Bert

MC Member

The Netherlands

University of Amsterdam

Cakmak, Hulya

MC Substitute


Luxembourg Institute of Science and Technology (LIST)

thin layer modelling of foods, mathematical model fitting
, rheological modelling

Gajdos Kljusuric, Jasenka

MC Substitute


University of Zagreb

beverage, cereals, classifiers, dairy products, data analytics, food science, fruits/vegetables, meat products, multi-agent systems, subspace regression

Jørgensen, Bo

MC Member


Technical University of Denmark

Kansou, Kamal




Kumcuoglu, Seher




cereals, dairy products, food science, fruits/vegetables, meat products, subspace regression, systems of differential equations

Laurier, Wim

MC Member


Universite Saint-Louis

computer science, discrete-event simulation, enterprise architecture, enterprise engineering, enterprise ontology, network resource planning, ontologies and knowledge models, value network software

Stankov, Emil

MC Member

fYR Macedonia

Ss. Cyril and Methodius University,

artificial neural networks, classifiers, computer science, ontologies and knowledge models

Adler, Cornel

MC Member



Boskovic, Dusanka

MC Member

Bosnia and Herzegovina

University of Sarajevo

Guichard, Elisabeth




Jovanov, Mile

MC Member

fYR Macedonia

Ss. Cyril and Methodius University,

Kopeva, Diana

MC Member


University of National and World Economy

Pénicaud, Caroline




bayesian networks, dairy products, eco-design, environmental analysis, food and bio-processes, food and bio-products, food science, knowledge integration, micro-organisms, microbiology, ontologies and knowledge models, systems of differential equations

Pop, Eugen

MC Member



Computer models and simulation of food processes

Szymanski, Julian

MC Member


Gdansk University of Technology

artificial neural networks, classifiers, computer science, data analytics, deep learning, fruits/vegetables