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Title | Rémi Sharrock academic |
Description | Search Researcher & Associate Professor of Distributed |
Keywords | N/A |
WebSite | remisharrock.fr |
Host IP | 185.199.109.153 |
Location | - |
Euro€1,445,173
Dernière mise à jour: 2022-06-26 20:50:35
remisharrock.fr a un classement mondial Semrush de 7,323,901. remisharrock.fr a une valeur estimée à € 1,445,173, sur la base de ses revenus publicitaires estimés. remisharrock.fr reçoit environ 166,751 visiteurs uniques chaque jour. Son serveur Web est situé au -, avec l'adresse IP 185.199.109.153.Selon SiteAdvisor, remisharrock.fr est sûr à visiter. |
Valeur d'achat/vente | Euro€1,445,173 |
Revenus publicitaires quotidiens | Euro€1,335 |
Revenus publicitaires mensuels | Euro€40,021 |
Revenus publicitaires annuels | Euro€480,243 |
Visiteurs uniques quotidiens | 11,117 |
Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. |
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remisharrock.fr. | A | 299 | IP: 185.199.109.153 |
remisharrock.fr. | A | 299 | IP: 185.199.110.153 |
remisharrock.fr. | A | 299 | IP: 185.199.108.153 |
remisharrock.fr. | A | 299 | IP: 185.199.111.153 |
remisharrock.fr. | NS | 300 | NS Record: ns18.ovh.net. |
remisharrock.fr. | NS | 300 | NS Record: dns18.ovh.net. |
remisharrock.fr. | MX | 300 | MX Record: 1 redirect.ovh.net. |
Search Rémi Sharrock academic page Rémi Sharrock academic page Home Posts Projects Courses Publications Contact Light Dark Automatic Rémi SHARROCK Researcher & Associate Professor of Distributed Systems Telecom Paris IP Paris LTCI IMT Biography I’m a researcher and an associate professor working for Telecom Paris . My research team is called DIVA , we are a member of the LTCI research lab . Let me give you some of my research questions : What are the conceptual and technological limits of large scale distributed systems ? How to leverage technology-mediated learning environments to enhance human learning ? What is the impact of large scale learning systems in the global education ? What are the best practices in learning ecosystems to acheive equity ? How do you take into account the human feedback in AI algorithms / autonomic systems / smart-systems ? Interests Distributed Architectures Scalable Human Learning Systems Autonomic Computing Human Learning Analytics Smart Systems and |
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