Assistant professor in Information systems and Data science at the Industrial Engineering Center, I am interested in how to use data flows to ease collaborations, either for enabling interoperability between heterogeneous information systems or help understanding a field situation to help actors better coordinate their actions. Applications concern both industrial networks and crisis management.
Hence, my research works focus in the development of methodologies and algorithms to turn heterogeneous data flows (sensors, social media, reports...) into conceptual models. For this several fields are involved (that I also teach): natural language processing, machine learning, model-driven engineering, knowledge-based systems and expert systems.
- Since 2017: Assistant professor at IMT Mines Albi, Industrial Engineering Center. In charge of the Data science discipline animation.
- 2015-2017: Post-doctoral fellow at IMT Mines Albi, Industrial Engineering Center, in the Interoperability of Organizations team. Involved in the DRIVER FP7 Project.
- 2016: Visiting scholar at Penn State University, College of Information Sciences and Technology. Research on crisis informatics: started working on how to use social media data to detect crisis situations and provide a situational model to decision-makers.
- 2012-2015: PhD candidate at IMT Mines Albi, Industrial Engineering Center, in the Interoperability of Organizations team. Dissertation title: Deduction of inter-organizational collaborative business processes within an enterprise social network.
- 2016: French qualification for the function of assistant professor in CNUs 61 and CNU 27.
- 2012-2015: PhD Candidate at IMT Mines Albi, Industrial Engineering. Dissertation title: Deduction of inter-organizational collaborative business processes within an enterprise social network.
- 2008-2012: Engineering degree at IMT Mines Albi with information systems major.
- 2007-2008: Preparatory school for the French Grandes Ecoles.
- 2007: Baccalauréat (scientific section).
- Fertier, A., Montarnal, A., Barthe-Delanoë, A. M., Truptil, S., & Bénaben, F. (2020). Real-time data exploitation supported by model-and event-driven architecture to enhance situation awareness, application to crisis management. Enterprise Information Systems, 14(6), 769-796.
- Coche, J., Montarnal, A., Tapia, A., & Benaben, F. (2020, May). Automatic Information Retrieval from Tweets: A Semantic Clustering Approach. In ISCRAM 2020-17th International conference on Information Systems for Crisis Response and Management (pp. p-134).
- Montarnal, A., Mu, W., Benaben, F., Lamothe, J., Lauras, M., & Salatge, N. (2018). Automated deduction of cross-organizational collaborative business processes. Information Sciences, 453, 30-49.
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