معرفی
Heitor Murilo Gomes is a Senior Lecturer (Assistant Professor) in Artificial Intelligence at Victoria University of Wellington (New Zealand) since 2022. Previously, he served as Senior Researcher and Co-Director of the AI Institute at the University of Waikato. His research focuses on adaptive machine learning for data streams, including cybersecurity applications, ensemble methods, and online continual learning. He leads the development of the open-source library CapyMOA and has organized numerous international tutorials and workshops on streaming data techniques.
Education:
- Ph.D. in Computer Science (2013-2017), Pontifícia Universidade Católica do Paraná, Brazil
- M.Sc. in Computer Science (2011-2012), same institution
- B.Sc. in Computer Science (2007-2010), UTP, Brazil
Research Interests: Adaptive learning systems, concept drift detection, semi-supervised learning for delayed labels, and cybersecurity applications of ML. His work emphasizes practical implementations via libraries like CapyMOA and StreamDM.
Key Contributions: Authored foundational papers on Adaptive Random Forests, Streaming Gradient Boosted Trees, and semi-supervised learning for data streams. His grants include a $360,000 Marsden Fund grant (2023-2026) for disagreement-based learning research.
Awards: ACM SAC 2014 Best Paper Award (SAE2), PAKDD 2020 Outstanding Reviewer Honor Roll.
Grants & Funding: Key researcher in the $13M TAIAO environmental AI program (MBIE SSIF), and sole PI for multiple grants totaling over $400,000 NZD. Active in editorial roles for Machine Learning (Springer) and conference reviewing (KDD, IJCAI, AAAI).
Teaching: Leads COMPX523 (Data Stream Mining) and teaches fundamentals of AI. Delivers guest lectures globally on streaming data topics.
