Dr. Fuge's research focuses on developing machine learning algorithms that learn from and subsequently aid human design and creativity; a mixture of topics that he calls Design Informatics. This involves using a combination of artificial intelligence, machine learning, computational linguistics, ethnography, human-computer interaction, social science, and crowd sourcing techniques to analyze and build web-based software tools for designers on top of scalable machine learning systems.
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