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site:membres:hubert:start [18/12/2024 16:10] (Version actuelle) hubert |
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- | Associate professor, Sorbonne Université, Paris 6, France.\\ | + | Professor in Computer Science, Sorbonne Université, Paris, France.\\ |
Member of the [[site:start|database team]] of the LIP6 laboratory. \\ | Member of the [[site:start|database team]] of the LIP6 laboratory. \\ | ||
email: [[hubert.naacke@lip6.fr|hubert.naacke@lip6.fr]] \\ | email: [[hubert.naacke@lip6.fr|hubert.naacke@lip6.fr]] \\ | ||
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* Heterogeneous Distributed Databases | * Heterogeneous Distributed Databases | ||
- | I defended my {{ :site:membres:hubert:hdr_hubert_2022_sommaire.pdf |HDR}} on january 2022. | + | |
- | Title: Scalability and quality of big data management applied to various use cases (full text document available upon request). | + | |
+ | I co-organize the [[https://senagro.sn|SenAgro]] workshop on data science applied to agriculture which takes place in Dakar on 30/04/2024 [[https://senagro.sn/files/atelier2024.pdf| workshop programme]] | ||
+ | |||
+ | I defended my [[https://hal.sorbonne-universite.fr/tel-03745557|HDR]] on january 2022. | ||
+ | Title: Scalability and quality of big data management applied to various use cases. | ||
I am involved in the following projects: [[site:recherche:projets:senagro:start|Senagro Data Scikit CNRS project]], [[site:recherche:projets:lakemap:start|LakeMap LIP6 internal project]], [[site:recherche:projets:epique:start|ANR EPIQUE]], ... | I am involved in the following projects: [[site:recherche:projets:senagro:start|Senagro Data Scikit CNRS project]], [[site:recherche:projets:lakemap:start|LakeMap LIP6 internal project]], [[site:recherche:projets:epique:start|ANR EPIQUE]], ... | ||
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See our paper at [[https://biggraphs.org/| BigGraphs2019]] in conjunction with IEEE BigData. | See our paper at [[https://biggraphs.org/| BigGraphs2019]] in conjunction with IEEE BigData. | ||
- | Our recent EGC 2018 paper about a hierarchical geographical factorization model for POI recommendation is [[https://egc18.sciencesconf.org/resource/page/id/23| nominated ]] (with 4 other papers) for the best applied research paper. | + | Our EGC 2018 paper about a hierarchical geographical factorization model for POI recommendation is [[https://egc18.sciencesconf.org/resource/page/id/23| nominated ]] (with 4 other papers) for the best applied research paper. |
Currently, I am co-advising the following PhD candidates: | Currently, I am co-advising the following PhD candidates: | ||
- | * 2021-now : Hamed Rahimi. Sémantisation de corpus scientifiques à large échelle - Application à l’analyse interactive de l’évolution des sciences. Co-advised with Bernd Amann. | + | * 2024-now : Allaa Boutaleb. Table representation learning for data set discovery and data integration in datalakes. Co-advised with Bernd Amann and Rafael Angarita |
* 2021-now : Sara Jarrad. Extraction of trajectories in mobility data streams : dynamic and distributed indexing. Co-advised with Stéphane Gançarski. | * 2021-now : Sara Jarrad. Extraction of trajectories in mobility data streams : dynamic and distributed indexing. Co-advised with Stéphane Gançarski. | ||
* 2022-now : Yuhe BAI: GraphologIA : Big data graph engineering in ML workflows. Co-advised with Camelia Constantin. | * 2022-now : Yuhe BAI: GraphologIA : Big data graph engineering in ML workflows. Co-advised with Camelia Constantin. | ||
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comparison of science evolution. */ | comparison of science evolution. */ | ||
- | Projet proposals for M1 students (PLDAC): {{ :site:membres:hubert:sujet_pldac2018_epique_extraction_de_domaines_v2.pdf |PLDAC 2018 Epique}}, {{ :site:membres:hubert:pldac_sparql_wikidata.pdf |PLDAC 2018 Sparql}}. | + | Projet proposals for M1 students (PLDAC): |
+ | {{ :site:membres:hubert:sujet_pldac_2023_temporal_top2vec.pdf |2023 - Temporal Top2vec: dynamic clustering of scientific documents}} | ||
+ | {{ :site:membres:hubert:sujet_pldac2018_epique_extraction_de_domaines_v2.pdf |PLDAC 2018 Epique}}, | ||
+ | {{ :site:membres:hubert:pldac_sparql_wikidata.pdf |PLDAC 2018 Sparql}}. | ||
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2017 {{:site:membres:hubert:sujet_pldac2017_epique_calcul_des_topic.pdf|M1 PLDAC}} | 2017 {{:site:membres:hubert:sujet_pldac2017_epique_calcul_des_topic.pdf|M1 PLDAC}} | ||
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Previously, I advised : | Previously, I advised : | ||
+ | * 2021-2024 : Hamed Rahimi. Sémantisation de corpus scientifiques à large échelle - Application à l’analyse interactive de l’évolution des sciences. Co-advised with Bernd Amann. | ||
* 2018-2021. Ke Li. Large-scale Topic Extraction and Alignment for Large Scientific Document Repositories. Currently at [[https://g42.ai/|G42]] startup, Abu Dhabi. | * 2018-2021. Ke Li. Large-scale Topic Extraction and Alignment for Large Scientific Document Repositories. Currently at [[https://g42.ai/|G42]] startup, Abu Dhabi. | ||
* 2015-2017. Jean-Benoît Griesner. Models for Point of Interest Recommendation. Currently at Qwant R&D. | * 2015-2017. Jean-Benoît Griesner. Models for Point of Interest Recommendation. Currently at Qwant R&D. |