[Defended thesis] Rodrique Kafando: Integration and analysis of massive and heterogeneous data for an intelligent observation/monitoring of the territory

Integration and analysis of massive and heterogeneous data for an intelligent observation/monitoring of the territory

Rodrique defended his PhD on Friday 3rd December @ Inrae (salle Saltus, 500 rue Jean François Breton).

I am Rodrique Kafando, a 3rd year PhD student in Computer Science at the Information Structure Systems (I2S) graduate school - University of Montpellier. I'm doing my thesis at UMR TETIS, on the integration and analysis of massive heterogeneous data for intelligent territorial observation.
After obtaining my Master's degree in Computer Science, with a specialization in Intelligent and Multimedia Systems, I decided to pursue my post-graduate studies in the field of data science.
What motivates me most in my doctoral studies is sharing my knowledge and being part of a dynamic scientific community responding to real societal needs.

• Starting date: 1st February 2019
• University : University of Montpellier, France
• PhD school: Information Structures Systèmes (I2S)
• Scientific field: Informatique
• Thesis management: Maguelonne Teisseire, Tetis, Inrae
• Thesis supervisors: Lucile Sautot, Tetis, AgroParisTech, Rémy Decoupes, Tetis
• Funding: Métropole de Montpellier, AgroParisTech, INRAE
• #DigitAg :  Labeled PhD –  Axe 6 : Modélisation et simulation (systèmes de production agricole) – Challenge 0: sujet transversal

Keywords: Data mining, heterogeneous data, observation

Abstract:  This thesis project is fully in line with the Smart City approach. It thus aims to develop skills around "intelligent observation of the territory". Observation from various sources of information (collected, measured, interpreted), intelligent because they do not implement not only innovative technologies but also approaches based on the heterogeneity of sources, knowledge extraction from massive data. The integration of heterogeneous data by taking into account the "smart city" ecosystem of the Metropolis (labs, start-ups, collectives, etc.) is based on traditional information (demographic, economic, climatic, etc.) but also on information from projects carried out by the Metropolis. The aim is to show the gain and efficiency of linking data previously managed in silos and organizing the interactions that can result from them.

Jury compound:

Rapporteurs :
– Jérôme Darmont, PR / Université de Lyon 2 – ERIC
– Franck Ravat, PR / Université de Toulouse I, IRIT

Examinatrices :
– Carmen Gervet, PR, Université de Montpellier, Espace-Dev
– Carmen Brando, Docteur, Ingénieur de recherche, EHESS (Ecole des hautes études en sciences sociales), CRH (centre de recherches historiques)

Invitée :
– Hélène Roussel, Métropole de Montpellier

Encadrants :
– Maguelonne Teisseire, Directrice de Recherche, INRAE – UMR TETIS
– Lucile Sautot, Maître de conférences, AgroParisTech – UMR TETIS
– Rémy Decoupes, Ingénieur de recherche, INRAE – UMR TETIS

Contact :  rodrique.kafando [AT] inrae.fr – Tel: 07.66.12.12.45

Social networks: ResearchGate – LinkedIn

Papers:

Download the thesis manuscript

• Rodrique Kafando, Rémy Decoupes, Lucile Sautot and Maguelonne Teisseire. Spatial Data Lake for Smart Cities: From Design toImplementation. Proceedings of the 23nd AGILE (Association ofGeographic Information Laboratories in Europe) conference, Chania,Crete, Greece – 6-19 June, 2020. (Open Access)
• Rodrique Kafando, Rémy Decoupes, Lucile Sautot and Maguelonne Teisseire. Modélisation de la dynamique des territoires : méta-données et lacs de données dédiés à l’information spatiale. Actes du XXXVIIIème Congrès INFORSID, Dijon, France, June 2-4, 2020. (Open Access)