Spécialité
Combinatorial optimization and probabilistic reasoning.
Biographie
Behrouz Babaki is an IVADO post-doc currently working at the Quosseca lab in Polytechnique Montreal, under the supervision of professor Gilles Pesant. He completed my PhD studies in the Machine Learning group at KU Leuven, Belgium. His main areas of interest are combinatorial optimization and probabilistic reasoning. He has also worked on problems in pattern mining, clustering, lifted inference, and planning. He is currently looking for ways to apply techniques from these domains to problems in fairness-aware learning and inference.