Rallou Thomopoulos
7
Documents
Identifiants chercheurs
- rallou
- 0000-0002-3218-9472
- IdRef : 078442044
Présentation
#### Senior Research Scientist
INRAE - IATE Joint Research Unit
Montpellier, France
**Main current responsabilities**
\- Co-leader of the 2016-2020 European COST Action CA15118 FoodMC "Mathematical and Computer Science Methods for Food Science and Industry" (26 partner countries). Management Committee Member for France
\- Elected member of the Scientific Committee of the INRAE-Transform research division
\- Coordinator of the INRAE-Transform transversal programs on knowledge and model integration, multi-performance design for food and bio-products, and ethical issues
\- INRAE-CIRAD instructor on participative simulation and modeling
**Main coordinated projects**
2018-2019 France-Switzerland project VITAMIN "VegetarIan Transition Argument ModellINg " (4 partners), funded by the INRAE Did’It program
2015-2016 International project 3NET "A three-country network for agri-food chain modeling applied to durum wheat", co-funded by the Laboratory of Excellence Agro, INRAE, Laval University (Canada), and Al Akhawayn University (Morocco)
2007-2010 National project COMPRI "Reasoning with priorities and compromises in the presence of contradictory information: application to the definition of quality in agri-food chains" (6 partners), funded by the Institute of Complex Systems
**Education**
2013 HDR (habilitation to conduct research groups and PhDs), Univ. Montpellier
2003 PhD thesis in computer science, AgroParisTech
2000 Research master in databases and artificial intelligence, Univ. Orsay
1998 Engineer master in agronomy, AgroParisTech
**Past positions**
2015-2016 Guest Research Scientist, Laval University, Quebec City (Canada)
1999-2004 Assistant Professor, AgroParisTech, Paris (France)
1998-1999 Project consultant in information system technologies for territories, ESRI France company, Meudon (France)
**Grants and awards**
Fellowships for short-term scientific missions: ATEITh, Greece (2017); University of Nottingham, UK (2018)
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An Intercontinental Machine Learning Analysis of Factors Explaining Consumer Awareness of Food RiskFuture Foods, 2023, 7, pp.100233. ⟨10.1016/j.fufo.2023.100233⟩
Article dans une revue
hal-04140336v1
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Cross-European initial survey on the use of mathematical models in food industryJournal of Food Engineering, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩
Article dans une revue
hal-02265749v1
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Multi-Criteria Reverse Engineering for Food: Genesis and Ongoing AdvancesFood Engineering Reviews, 2019, 11 (1), pp.44-60. ⟨10.1007/s12393-018-9186-x⟩
Article dans une revue
hal-01993348v1
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Review on environmental models in the food chain : current status and future perspectivesJournal of Cleaner Production, 2018, 176, pp.1012-1025. ⟨10.1016/j.jclepro.2017.11.241⟩
Article dans une revue
hal-01662246v1
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An intercontinental machine learning analysis of factors explaining consumer awareness about food riskFoodSim 2022, Apr 2022, Ghent, Belgium
Communication dans un congrès
hal-03770730v1
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Assessing Trends on Consumption of Animal Products Through a Machine Learning Analysis of Consumer MotivationsOnline Workshop on Computational Approaches in Eating Behavior Research, Jan 2021, Online, France
Communication dans un congrès
hal-03834642v1
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Consumers' Motivations towards Environment-Friendly Dietary Changes: An Assessment of Trends Related to the Consumption of Animal ProductsWalter Leal Filho; Ilija Djekic; Sergiy Smetana; Marina Kovaleva. Handbook of Climate Change Across the Food Supply Chain, Springer, pp.305-319, 2022, Climate Change Management (CCM), 978-3-030-87933-4. ⟨10.1007/978-3-030-87934-1_17⟩
Chapitre d'ouvrage
hal-02948373v1
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