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dc.contributor.authorBenaben, Frederick
dc.date.accessioned2019-05-08T18:23:56Z
dc.date.available2019-05-08T18:23:56Z
dc.date.issued2019-04-23
dc.identifier.urihttp://hdl.handle.net/1853/61044
dc.descriptionPresented on April 23, 2019 at 12:00 p.m. in the ISyE Main Building, 2nd floor atrium.en_US
dc.descriptionFrederick Benaben is the head of the IO research team (Interoperability of Organizations – IMT Mines Albi), he is a lecturer and researcher in the fields of Collaborative Networks and Information Systems. His research activities concern gathering, interpretation and exploitation of data about collaborative situations, through model transformations and knowledge management, to design agile information systems based on web and cloud architectures. At Georgia Tech ISyE, he is working on a model-based AI framework, dedicated to the interpretation of contextual data to create and maintain models of supply-chain networks in order to identify risks and opportunities. These risks and opportunities models could be used as decision support systems to improve the design and the enactment of the trajectories of supply-chain systems.en_US
dc.descriptionRuntime: 58:57 minutesen_US
dc.description.abstractModel-Driven Engineering (MDE) is meant, above other usages mainly in software design, to support the process of system design, especially the transitions and the coherency between models of different levels and different point of views. In the presentation, Dr. Benaben will introduce an original and innovative Artificial Intelligence (AI) framework dedicated to include MDE in AI technologies. An instantiation of this framework on the domain of crisis management will be presented as an illustrative example of providing sentience, agility and resilience in the handling of an instable situation. Then, the usage of this research framework will be extended to provide avenues and perspectives in ways to connect Industrial Engineering and Artificial Intelligence to support (collaborations of) organizations, decision making and management of organizations.en_US
dc.format.extent58:57 minutes
dc.language.isoen_USen_US
dc.relation.ispartofseriesSupply Chain and Logistics IRC Seminar Seriesen_US
dc.subjectCrisis managementen_US
dc.subjectModel-driven engineering (MDE)en_US
dc.titleAn AI Framework Used in Crisis Management and Decision Makingen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Supply Chain and Logistics Instituteen_US
dc.contributor.corporatenameIMT Mines Albien_US


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