Activities

Research

• Machine Learning for Big Data Streams
• Artificial Intelligence, Big Data Science, IoT Analytics
• Open Source Software :
  • MOA Massive Online Analysis
  • RIVER
  • SAMOA Scalable Advanced Massive Online Analysis
  • StreamDM for Spark Streaming
  • StreamDM C++
• Students
  • PhD Students:  Peng Yu, Ayman Chaouki, Yibin Sun, Simna Rassak, Zing Zhang, Matthew Skiffington, Justin Liu, Jack Julian, Nilesh Verma.
  • 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
  • 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 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012
• PC co-chair The 8th IEEE International Conference on Data Science and Advanced Analytics 2021.

• Job Matching co-chair  IEEE International Conference on Data Mining (ICDM 2021)

• 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 …