Canada CIFAR AI Chair
Pan-Canadian AI Strategy
Reihaneh Rabbany is a Canada CIFAR AI Chair and an assistant professor at the School of Computer Science at McGill University. Before that she was a postdoctoral fellow at the School of Computer Science, Carnegie Mellon.
Rabbany’s research is at the intersection of network science, data mining and machine learning, with a focus on analyzing real-world interconnected data, and social good applications.
Rabbany, R., Elatia, S., Takaffoli, M., & Zaïane, O. R. (2014). Collaborative learning of students in online discussion forums: A social network analysis perspective. In Educational data mining (pp. 441-466). Springer, Cham.
Takaffoli, M., Rabbany, R., & Zaïane, O. R. (2014). Community evolution prediction in dynamic social networks. In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) (pp. 9-16). IEEE.
Takaffoli, M., Rabbany, R., & Zaïane, O. R. (2013). Incremental local community identification in dynamic social networks. In 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) (pp. 90-94). IEEE.
Rabbany, R., Takaffoli, M., & Zaïane, O. R. (2011). Analyzing participation of students in online courses using social network analysis techniques. In Proceedings of educational data mining.
Khorasgani, R. R., Chen, J., & Zaiane, O. R. (2010). Top leaders community detection approach in information networks. In 4th SNA-KDD workshop on social network mining and analysis.
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.