Nathalie Japkowicz
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Nathalie Japkowicz | |
|---|---|
| Alma mater | McGill University University of Toronto Rutgers University |
| Scientific career | |
| Fields | Machine learning, big data |
| Institutions | University of Ottawa American University College of Arts and Sciences |
| Doctoral advisor | Stephen José Hanson, Casimir Alexander Kulikowski |
Nathalie Japkowicz is a Canadian computer scientist specializing in machine learning. She is a professor and department chair of computer science at the American University College of Arts and Sciences.
Nathalie Japkowicz completed a B.Sc. at McGill University in 1988.[1] She earned an M.Sc. from the University of Toronto in 1990.[1] She completed a Ph.D. at Rutgers University in 1999.[1] Her dissertation was titled Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification.[2] Stephen José Hanson and Casimir Alexander Kulikowski were her doctoral advisors.[2]
Japkowicz worked at the University of Ottawa in the school of electrical engineering and computer science.[1] She was the lead of its laboratory for research on machine learning for defense security.[1] From 2003 to 2005, Japkowicz was the secretary of the Canadian Artificial Intelligence Association (CAIAC).[3] She was CAIAC vice president from 2009 to 2014 and president from 2013 to 2015, and part-president from 2015 to 2017.[3][4]
Japkowicz is a professor and department chair of computer science at the American University College of Arts and Sciences.[1] She researches artificial intelligence, machine learning, data mining, and big data analysis.[5]
