Mark Fuge

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 crowdsourcing techniques to analyze and build web-based software tools for designers on top of scalable machine learning systems.

Assistant Professor
Department of Mechanical Engineering University of Maryland
Glenn L. Martin Hall, 4298 Campus Dr
College Park, MD 20742
United States

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 crowdsourcing techniques to analyze and build web-based software tools for designers on top of scalable machine learning systems.