Nathalie Japkowicz Professor CAS | CSC | Computer Science
- Degrees
- Ph.D. (1999), Rutgers University;
M.Sc. (1990), University of Toronto;
B.Sc. (1988), McGill University - Bio
- Nathalie Japkowicz is a professor in the Computer Science Department at Â鶹Æƽâ°æ, which she chaired from July 2018 to June 2024. Prior to that, she directed the Laboratory for Research on Machine Learning applied to Defense and Security at the University of Ottawa in Canada. She is a Professor and AI/Machine Learning researcher particularly interested in lifelong machine learning, anomaly detection, hate speech monitoring, machine learning evaluation, and the handling of uncharacteristic data including datasets plagued by class imbalances. She trained over 30 graduate students. Her research has been funded by Â鶹Æƽâ°æ’s Signature Research Initiative, DARPA’s L2M program, NSERC, DRDC, Health Canada, and various private companies. Her publications include Evaluating Learning Algorithms: A Classification Perspective at Cambridge University Press (2011), an edited book in the Springer Series on Big Data (2016), and over 150 book chapters, journal articles, and conference or workshop papers. Her recent co-authored book entitled Machine Learning Evaluation: Towards Reliable and Responsible AI at Cambridge University Press appeared in November 2024. She received five best paper awards, including the prestigious European Conference on Machine Learning 2014 Test of Time award, and was awarded the Canadian Artificial Intelligence Association Distinguished Service Award in 2021.
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