Sofiane Lagraa
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Université du Luxembourg 2, Avenue de l'Université L-4365 Esch-sur-Alzette |
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Sofiane LAGRAA received his PhD degree in computer science in 2014, from the Grenoble Institute of Technology, in France. He has gained working experience as post-doctoral researcher, and teaching assistant. His research interests are in data mining and knowledge discovery applied to the security domain, profiling embedded systems, and smart contract, as well as graph matching and mining. Sofiane joined the Service and Data Management in Distributed Systems group - SEDAN headed by Dr. Radu State.
Last updated on: Thursday, 05 October 2017

2020

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in 91st IEEE Vehicular Technology Conference, VTC Spring 2020, Antwerp, Belgium, May 25-28, 2020 (2020)

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in IEEE International Conference on Distributed Computing Systems (ICDCS) (2020)

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in IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, April 20-24, 2020 (2020)

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in Proceedings of the 15th International Conference on Availability, Reliability and Security (2020, August)
2019

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in Amrouche, Faouzi; Lagraa, Sofiane; Kaiafas, Georgios; State, Radu (Eds.) 16th IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2019) (2019)

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in Kaiafas, Georgios; Hammerschmidt, Christian; State, Radu (Eds.) 16th IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2019) (2019)

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in ECML PKDD 2019 Workshops (2019)

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in International Conference on Robotic Computing (2019, February)

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in International Symposium on Software Reliability Engineering (2019, October)

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in International Conference on Robotic Computing (2019, February)

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in IEEE Workshop on the Internet of Safe Things, Co-located with IEEE Security and Privacy 2019 (2019, May)
2018

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in Kaiafas, Georgios; Varisteas, Georgios; Lagraa, Sofiane; State, Radu (Eds.) IEEE/IFIP Network Operations and Management Symposium, 23-27 April 2018, Taipei, Taiwan Cognitive Management in a Cyber World (2018)

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Poster (2018, August 20)
2017

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in Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18, 2017. (2017, September)

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in CSNet 2017 Conference Proceedings (2017)