De Vinci Research Center aims to develop quality research that is recognised in the national and international academic communities, to develop partnership research recognised by the economic and industrial community, to disseminate a research culture in ESILV and EMLV courses, to foster synergies between the schools’ specialisations and the DVRC’s expertise and to promote interdisciplinarity between engineering and management sciences.
The research, focused on innovation and digital technology, is structured within four research groups and a partnership research unit.
The Business Group brings together faculty members from different academic disciplines (marketing, human resources, strategy and entrepreneurship) and professional backgrounds. Their intellectual contributions target the following research perspectives: innovation and technology for governance and entrepreneurship; marketing (consumer, b2b, digital, data driven etc); global strategy, CSR and international business; public and non-government institutions; organizational change and the future of work. The group’s members apply a large array of methodologies ranging from structural equation modelling, experimentation, applied econometric modelling, NLP, data analytics with pattern recognition, machine learning and genetic algorithms, to qualitative methods such as case studies, semantic, narrative, visual and archival analysis.
The group’s research work focuses on digital transformation in the era of Big Data, in a multidisciplinary and cross-disciplinary way, with 4 main axes: business and digital (impact of the digital revolution), Smart industry (AI and digital twins), from Big Data to Smart Data (Data Mining, Machine Learning and Big Data processing) and Computer Human Interaction (IA and Smart Materials).
The Finance Group covers most of the topics that are currently relevant in quantitative and mainstream finance. While a group of researchers is involved in fundamental research on the mathematics of finance, another group explores the impact of new technologies on financial transactions contributing to the advancement of Fintech. Other groups explore the engineering of sustainable investments, study the challenges of corporate finance and financial regulations in modern evolutionary economies
This research group brings together researchers from the Engineering Sciences, Mathematics and Computer Science departments of the engineering school. The scientific themes developed address the modelling of the energy chain, the development and characterisation of intelligent structures and materials as well as the mathematical study of complex fluid problems and polyphase flows. The research carried out produces innovative and sustainable technologies with practical and economic applications.
Président du conseil scientifique :
Patrice Fontaine, directeur de recherche au CNRS.
Membres Externes
Membres Internes
Membres Invités :
