Usama Fayyad
Professor of the Practice, Executive Director Institute for EAI
Research interests
- Data mining
- Image processing
- Machine intelligence
- Machine learning
- Inductive learning
Education
- PhD in Computer Science and Engineering, University of Michigan
- MS in Mathematics and Computer Science and Engineering, University of Michigan
- BS in Electrical Engineering and Computer Engineering, University of Michigan
Biography
Usama Fayyad is a professor of the practice in the Khoury College of Computer Sciences and the executive director of the Institute for Experiential AI at Northeastern University, based at the Roux Institute in Portland, Maine.
Fayyad's areas of focus and teaching include data science, machine learning, AI, and data mining. He has received multiple awards and honors for his research — such as the ACM SIGKDD Innovation Award, an ACM fellowship, and the US Government Medal from NASA — and has been published in the Harvard Data Science Review and in Communications of the ACM.
Outside of work, Fayyad enjoys skiing, chess, reading, and swimming.
Recent publications
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Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards
Citation: “Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards”, U. Fayyad and H. Hamutcu. Harvard Data Science Review, vol. 2, issue 2, June 2020. -
Evolving Data Into Mining Solutions For Insights
Citation: “Evolving data into mining solutions for insights”, U.Fayyad and R. Uthurusamy, Communications of the ACM, vol. 45, issue 8, p. 28-31, August 2002. -
The digital physics of data mining
Citation: “The digital physics of data mining”, U. Fayyad. Communications of the ACM, vol. 44, issue 3, pp 62-65, March 2001.
