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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Looking back at The Guild conference: Artificial Intelligence in Higher Education and Research
On November 6th 2024, Université Paris Cité and Université PSL brought together the communities of The Guild of European Research-Intensive Universities for an event about artificial intelligence and its impact on universities, at the PariSanté Campus. Stéphanie...
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From October 24 to 26, a delegation of fourteen professors, lecturers and researchers from the Faculty of Health, led by Dean Matthieu Resche-Rigon and the co-director of the Institute of Women’s Health, Vassilis Tsatsaris, visited Singapore for the Women’s Health Conference 2024.
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