| dc.contributor.author | Benaben, Frederick | |
| dc.date.accessioned | 2019-05-08T18:23:56Z | |
| dc.date.available | 2019-05-08T18:23:56Z | |
| dc.date.issued | 2019-04-23 | |
| dc.identifier.uri | http://hdl.handle.net/1853/61044 | |
| dc.description | Presented on April 23, 2019 at 12:00 p.m. in the ISyE Main Building, 2nd floor atrium. | en_US |
| dc.description | Frederick 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.description | Runtime: 58:57 minutes | en_US |
| dc.description.abstract | Model-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.extent | 58:57 minutes | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | Supply Chain and Logistics IRC Seminar Series | en_US |
| dc.subject | Crisis management | en_US |
| dc.subject | Model-driven engineering (MDE) | en_US |
| dc.title | An AI Framework Used in Crisis Management and Decision Making | en_US |
| dc.type | Lecture | en_US |
| dc.type | Video | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Supply Chain and Logistics Institute | en_US |
| dc.contributor.corporatename | IMT Mines Albi | en_US |
