Biography

As an AI researcher, my expertise lies in evolving data stream learning. My work addresses critical challenges in Online Learning, including detecting and adapting to concept drifts in Stream Learning and mitigating catastrophic forgetting in Online Continual Learning for Neural Networks. I also have a decade of industry experience developing high-speed network capture and analysis software.

Interests
  • Stream Learning
  • Online Continual Learning
  • Online Streaming Continual Learning
Education
  • PhD in Artificial Intelligence, 2023

    University of Waikato

  • MSc in Information Sciences, 2010

    Auckland University of Technology

  • BSc in Management Information Systems, 2007

    University College Dublin

Projects

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MOA
MOA (Massive Online Analysis).
MOA

Recent Publications

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(2024). Recurrent Concept Drifts on Data Streams. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (Submitted for review).

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(2024). Gradient Boosted Trees for Evolving Data Streams. Machine Learning.

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(2023). Survey on Online Streaming Continual Learning. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence.

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(2022). Online Hyperparameter Optimization for Streaming Neural Networks. 2022 International Joint Conference on Neural Networks (IJCNN).

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