Research
- Machine Learning for Big Data Streams
- Artificial Intelligence, Big Data Science, IoT Analytics
- Open Source Software :
- Students
- PhD Students: Yibin Sun, Simna Rassak, Zing Zhang, Justin Liu, Jack Julian, Nilesh Verma, Léa Cassé.
- Former PhD Students:
- Jacob Montiel
- Diego Marron
- Matthias Carnein
- Maroua Bahri
- Dihia Boulegane
- Natalia Mordvanyuk
- Alessio Bernardo
- Minh Huong Le Nguyen
- Nedeljko Radulovic
- Nuwan Gunasekara
- Mariam Barry
- Subhy Albakour
- Ayman Chaouki
- Peng Yu
- Former Master Students: Arinto Murdopo, Antonio Severien, Rui Sarmiento, Diego Marron (2014), Hoang Nhat Minh Nguyen, Dihia Boulegane, Nedeljko Radulovic, Minh Huong Le Nguyen.
- Winning Competition: Kaggle LSHTC4 Large Scale Hierarchical Text Classification
Professional activities
- Action Editor MACHINE LEARNING (2021-)
- Action Editor Data Mining and Knowledge Discovery (2018-)
- Proposal Co-chair ECML-PKDD (2015-)
- Co-chair ACM SAC Data Streams Track 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012
- General co-chair ECML-PKDD 2024
- PC co-chair The 8th IEEE International Conference on Data Science and Advanced Analytics 2021.
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Job Matching co-chair IEEE International Conference on Data Mining (ICDM 2021)
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Sponsorship Co-Chair of ECML PKDD 2019, ECML PKDD 2017, ECML PKDD 2015, ECML PKDD 2013
- Co-chair KDD BigMine 2019: International Workshop on Big Data, Streams and Heterogeneous Source Mining, 2018, 2017, 2016, 2015, 2014, 2013, 2012
- Special Session Co-Chair of DSAA 2017 (4th IEEE International Conference on Data Science and Advanced Analytics)
- Industrial Co-Chair of MDM 2016 (17th IEEE International Conference on Mobile Data Management)
- Co-Chair of EuroIoTa 2016 (1st European IoT Analytics Summit)
- Demo Co-Chair of ICDM 2016 (16th IEEE International Conference on Data Mining)
- PC Co-chair of Workshop on Real-time & Stream Analytics in Big Data at IEEE Big Data Conference 2016
- Co-chair Workshop on Real-time & Stream Analytics in Big Data colocated with the 2016 IEEE International Conference on Big Data
- Co-chair VECPAR 2016: Workshop on Big Data & Deep Learning in HPC
- Co-chair jDSE16 Paris-Saclay Junior Conference on Data Science and Engineering
- Industrial Co-Chair of ECML PKDD 2015 – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
- Associate Editor of IEEE Transactions on Big Data (IEEE TDB) (2015-2017).
- Associate Editor of Neurocomputing Journal (2016-2017).
- Organizing Co-chair Ubiquitous Data Mining @ IJCAI 2013
- Editor of the ’Big Data Mining’ special issue of SIGKDD Explorations Dec. 2012.
- PC and Senior PC member of conferences such as AAAI, IJCAI, ACM SIGKDD, IEEE ICDM, SIAM DM, ECML PKDD, PAKDD, DS …