Roland Memisevic received the PhD in Computer Science from the University of Toronto, Canada, in 2008.
He held positions as a research intern at Microsoft Research, Redmond, as a research scientist at
PNYLab LLC in Princeton, and as a post-doctoral fellow at the University of Toronto and at ETH Zurich,
Switzerland. In 2011, he joined the department of Computer Science, University of Frankfurt, Germany,
as an assistant professor in Computer Science. His research interests are in machine learning and
computer vision, in particular in unsupervised learning and feature learning.

His scientific contributions include higher-order and relational sparse coding models, approaches to learning
motion and transformation patterns from images and videos, and approaches to invariant recognition. He
presented his work at conferences such as NIPS, CVPR, ICCV, ICML, AAAI, and in journals such as PAMI,
Neural Networks, Neural Computation. He served as a program committee member or reviewer for
most of these and other conferences and journals in machine learning and computer vision. Roland
Memisevic received a Government of Canada Award in 2003.