Dr. Mohamed-Hamza Ibrahim
Polytechnique Montréal
Local AA-5495
Mohamed-Hamza Ibrahim is currently a postdoctoral researcher at Polytechnique Montreal. He is working under the supervision of prof. Andrea Lodi – the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making. Mohamed holds his Ph.D.  in Computer engineering (2015) from the Department of Computer and Software Engineering, Polytechnique Montreal, University of Montreal.   His research interests involve Machine learning, Constraint programming and Bioinformatics. In particular, using [probabilistic, relational, graphical] models and machine learning to understand complex domains that involve big data and have large amounts of uncertainty.


Journal papers

M. Ibrahim, C. Pal and G. Pesant (2016).  Improving Probabilistic Inference in Graphical Models with Determinism and Cycles.  Machine Learning, doi:10.1007/s10994-016-5585-5.

A. M. Khedr and M. Ibrahim, 2012. Log-odd: A New Method for Improving an HMM Decoding for Gene Finding.  K. J. of science & engineering, vol. 39 (2A), pp. 103-118.

M. El-Sayed, A. M. Khedr (2007). Improving the Performance of an HMM for Protein Family Modeling.  Journal of Applied Science, vol. 7, Issue 12, pp. 1626-1632. DOI:10.3923/jas.2007.1626.1632

Conference papers

M. Ibrahim,  C. Pal, G. Pesant, 2015.  Exploiting Determinism to Scale Relational Inference.  The 29th AAAI Conference on Artificial Intelligence, January 25-30 Texas, USA, pp. 1756-1762

M. Ibrahim,  C. Pal, G. Pesant, 2012.  A Generic Search Heuristic Based on Survey Propagation to Solve CSPs.  The 18th International Conference on Principal and Practice of Constraint Programming, Quebec City, Canada.