I obtained my Ph.D. in Computer science from KU Leuven and Ghent University in 2017 with a dissertation on user modeling in social media under the supervision of professor Martine de Cock and professor Marie-Francine Moens. I am currently a post-doctoral IVADO fellow at University of Montreal and Mila (Quebec Institute for Learning Algorithms) working on fairness-aware sequential decision making under uncertainty. I work with professor Simon Lacoste-Julien and professor Michel Gendreau
Prior to this, I was a postdoc researcher of the Statistical Relational Learning Group (LINQS) of professor Lise Getoor at the University of California, Santa Cruz. I was a visiting scholar at UCLA, University of Washington, Tacoma, Tsinguha University, and Microsoft research, Redmond.
(December 6) Invited speaker, “Bias and Discrimination in AI” at the 5th edition of MILA/IVADO summer school on Deep Learning, Vancouver, more info
(November 14) Invited speaker, “Deep Individual Fairness Verification” at WiMLDS meetup, Montreal
(November 11) I am pleased to announce that two of our papers got accepted at AAAI2020!
(October 30) Invited speaker, “Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns” at Trustworthy AI Symposium at Columbia University, New York, US, more info
The full list is avaialble at news.
For the full list of my publications, please check publications.
Yoojung Choi, Golnoosh Farnadi, Behrouz Babaki, and Guy van den Broek. Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. To appeat at thirty-forth Conference on Artificial Intelligence (AAAI), 2020. Arxiv
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor. A Declarative Approach to Fairness in Relational Domains. In IEEE Data Engineering Buletin, 42, no.3, pp.36-48, 2019.
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, and Lise Getoor. Lifted HingeLoss Markov Random Fields. In Proceedings of the thirty-third Conference on Artificial Intelligence (AAAI), 2019. Acceptance rate: 16.2%
Golnoosh Farnadi, Jie Tang, Martine De Cock, and Marie-Francine Moens. User Profiling through Deep Multimodal Fusion. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), 2018. Acceptance rate: 16%
Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Steve Minton and Lise Getoor. The Impact of Environmental Stressors on Human Trafficking. In proceedings of the IEEE International Conference on Data Mining series (ICDM), 2018.Acceptance rate: 8.86%
Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Steve Minton and Lise Getoor The Impact of Environmental Stressors on Human Trafficking. In Proceedings of the Beyond online data workshop at 12th international AAAI conference on web and social media (ICWSM), 2018. Winner of the Best Paper Award
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, and Martine De Cock. Soft Quantification in Statistical Relational Learning. In MLJ (The Machine Learning Journal), 2017. Winner of the Best Paper Award