Researcher

Albert Bifet

Albert Bifet is an AI researcher whose work helps machine-learning systems learn from changing data streams. His 2009 thesis examines adaptive learning and mining for data streams, and he coauthors MOA, a framework for online learning, in 2010. He joins Télécom Paris in 2015, coauthors an MIT Press book on stream learning in 2018, and directs Waikato’s AI Institute at its 2021 launch. Engineering New Zealand elects him a Fellow in 2024, and he leads stream-learning research at FinAI-Lab in 2025. As of October 2026, he is a research professor and director of Waikato’s AI Institute, and co-scientific director of FinAI-Lab at Télécom Paris.

Works
387
Citations
19,271
h-index
53

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2009

    A thesis on evolving streams

    In 2009, he completes his thesis, Adaptive Learning and Mining for Data Streams and Frequent Patterns, advised by Ricard Gavaldà and José Luis Balcázar.

  2. 2010

    MOA for online learning

    In 2010, he coauthors a Journal of Machine Learning Research paper on Massive Online Analysis (MOA), which provides methods and evaluation tools for online learning from evolving data streams.

  3. September 2015

    Professor at Télécom Paris

    He joins Télécom Paris as a professor in September 2015 and researches real-time data stream mining at the LTCI Lab. He also contributes to Apache SAMOA at Yahoo Labs in Barcelona.

  4. 2018

    A data-stream book

    He coauthors Machine Learning for Data Streams with Practical Examples in MOA, published by MIT Press in 2018.

  5. April 2021

    Leading Waikato’s AI Institute

    In April 2021, he directs Te Ipu o te Mahara, the University of Waikato’s AI Institute, at its launch. The institute connects Waikato’s AI research and expertise in real-time analytics and machine learning with industry and community needs.

  6. 2024

    An Engineering New Zealand Fellowship

    He becomes a Fellow of Engineering New Zealand in 2024 for his ICT engineering research in AI and data science, with applied work in telecommunications and environmental sectors.

  7. 2025

    FinAI-Lab’s stream research

    Télécom Paris and BNP Paribas establish FinAI-Lab in 2025 to research artificial intelligence in large financial institutions. He leads its stream-learning theme, which develops real-time monitoring of banking and network data and continuous learning from evolving streams.

  8. As of October 2026

    Director of Waikato’s AI Institute

    As of October 2026, he is a Research Professor and Founding Director of Te Ipu o te Mahara, the University of Waikato’s AI Institute, and a Professor at Télécom Paris, where he serves as Co-Scientific Director of FinAI-Lab.

Career

  1. Since 2025FinAI-LabCo-Scientific Director
  2. Since 2021University of WaikatoDirector
  3. Since 2015Télécom ParisProfessor
  4. 2016–2019Institut Mines-Télécom
  5. 2016–2020Université Paris-Saclay
  6. 2015–2021ParisTech
  7. 2015–2021Institut Polytechnique de Paris
  8. 2014–2015Huawei
  9. 2013–2015Yahoo
  10. 2005–2011Polytechnic University of Catalonia

Sources and credits

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  1. Publications – Albert Bifet albertbifet.com. Checked 20 October 2026.
  2. MOA: Massive Online Analysis jmlr.org. Checked 20 October 2026.
  3. Albert Bifet telecom-paris.fr. Checked 20 October 2026.
  4. Book moa.cms.waikato.ac.nz. Checked 20 October 2026.
  5. University of Waikato launches new artificial intelligence research institute waikato.ac.nz. Checked 20 October 2026.
  6. Past winners | Engineering NZ engineeringnz.org. Checked 20 October 2026.
  7. FinAI-LAB, a joint laboratory between Télécom Paris and BNP Paribas about Financial AI telecom-paris.fr. Checked 20 October 2026.
  8. Albert Bifet – Driving Innovation in Streaming AI albertbifet.com. Checked 20 October 2026.