Paul Boniol, Award-winning Post-doctoral Researcher Creating Predictive Algorithms
Paul Boniol, a post-doctoral researcher in computer science has won several awards for his work, which lead to the filing of 2 patents at both the national and European level. He explains his methods for analysing large volumes of data to create algorithms capable of predicting all kinds of anomalies.

Paul Boniol did his research at LIPADE, in collaboration with EDF (Electricité de France). His work, called ‘Analysis of very large multivariate time series using unsupervised learning methods in order to detect anomalies and support predictive maintenance’, focused on the analysis of very large volumes of time series data in the energy sector, collected from nuclear power plant reactors, hydroelectric dams, etc. Using new unsupervised learning methods, Paul created algorithms capable of detecting anomalies and facilitating their prediction. These results are available to the international scientific community. His work has been awarded 4 prestigious prizes and has led to the filing of national and European patents.
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Call for projects 2025 UPCité – King’s College London
The call for projects between Université Paris Cité (UPCité) and our privileged partner King's College London (KCL), has been launched this friday, May 9th 2025. The objectives Université Paris Cité and King's College London are offering offering a seed funding for...
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UM6P and UPCité Offer Two Joint PhD Scholarships
Mohammed VI Polytechnic University (UM6P) and Université Paris Cité (UPCité) are strengthening their collaboration by offering two joint PhD scholarships for thesis projects affiliated with one of UPCité’s Graduate Schools. This call aims to reinforce...
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Radon Emissions on Mars and the Moon: The Contribution of Meteorites

Results of the first call for projects with Mohammed VI Polytechnic University
The first call for projects launched between Université Paris Cité and Université Mohammed VI Polytechnic in 2024 generated a great deal of interest. 24 proposals were submitted by pairs of researchers, one from UPCité and the other from UM6P, in all disciplines. A...
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