Behrouz Babaki

Postdoctoral Fellow

Mila HEC Montréal

Biography

I am a postdoc at Mila and HEC Montreal, where I work with professor Laurent Charlin and professor Sanjay Jena.

Prior to that, I was a postdoc at the Quosseca lab in Polytechnique Montreal, where I worked with professor Gilles Pesant. I completed my PhD studies in the Machine Learning group at KU Leuven, under the supervision of professor Luc De Raedt and professor Tias Guns.

My main areas of interest are combinatorial optimization and probabilistic reasoning.

Interests

Artificial Intelligence
Combinatorial Optimization
Constraint Programming

Education

PhD in Computer Engineering, 2017

KU Leuven
MSc in Artificial Intelligence, 2012

KU Leuven
MSc in Industrial Engineering, 2009

Sharif University of Technology
BSc in Industrial Engineering, 2005

Iran University of Scince and Technology

Publications

$^*$: equal contribution

Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor. Lifted Hinge-Loss Markov Random Fields. AAAI Conference on Artificial Intelligence (AAAI), 2019.

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Golnoosh Farnadi$^*$, Behrouz Babaki$^*$, Lise Getoor. Fairness in Relational Domains. AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018.

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Behrouz Babaki, Dries Van Daele, Bram Weytjens, Tias Guns. A Branch-and-Cut Algorithm for Constrained Graph Clustering. Data Science meets Optimization workshop (DSO), 2017.

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Nguyen Van Son, Behrouz Babaki, Anton Dries, Pham Quang Dung, Nguyen Xuan. Prediction-based optimization for online People and Parcels share a ride taxis. International Conference on Knowledge and Systems Engineering (KSE), 2017.

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Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen. Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. Principles and Practice of Constraint Programming (CP), 2017.

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Behrouz Babaki, Tias Guns, Luc De Raedt. Stochastic Constraint Programming with And-Or Branch-and-Bound. International Joint Conference on Artificial Intelligence (IJCAI), 2017.

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Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt. Constraint-Based Querying for Bayesian Network Exploration. Advances in Intelligent Data Analysis (IDA), 2015.

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Behrouz Babaki, Tias Guns, Siegfried Nijssen. Constrained Clustering Using Column Generation. Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2014.

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Teaching

I was one of the teaching assistants in the following courses:

Fundamentals of Artificial Intelligence (2016-17 and 2015-16)
Data Mining (2015-16)
Uncertainty in Artificial Intelligence (2012-13 and 2015-16)

Skills

Graphical Models

Bayesian Networks, Probabilistic Logic Programming, Knowledge Compilation

Constraint Satisfaction and Optimization

Constraint Programming, Integer Linear Programming, Decision Diagrams

Machine Learning

Symbolic and Sub-symbolic Methods

Search

Contact

Behrouz.Babaki@hec.ca
M-3409, Pavillons Lassonde
2900 boul. Édouard-Montpetit
Campus of the University of Montréal
2500, chemin de Polytechnique Montréal
(Québec) H3T 1J4