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Ismini Lourentzou

Assistant Professor

My research revolves around machine learning challenges related to data, e.g., learning with limited imperfect supervision, self-supervision, multi-modal representations, active and semi-supervised learning, adversarial training. I am interested in building intelligent task assistants that augment human intelligence, human-in-the-loop machine learning, and machine learning for sustainability and climate change.

CAIA Platform(s):

  • Data Analytics, Decisions, and Machine Learning for Food, Agriculture, Communities, and Health Systems;