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Combinatorics And Artificial Intelligence LaboratoryCAAIL |
About | Members | Projects | Opportunities
About
The Combinatorics in Artificial Intelligence Lab at the Lebanese American University (LAU) advances theoretical and applied research at the intersection of combinatorics, graph theory, algorithms, and artificial intelligence. Our work includes mathematical frameworks and optimization techniques for problems arising in data science, machine learning, and AI-driven applications.
Lab Members
Director
Research Associates
Research Assistants / Students
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DNA fragment assembly: Reina Najjar
Protein data analysis: Joudy Allam, Sarah Younes, Aya Darwish, Mira Madi
Blockchain consensus algorithms: Jad El Masri
Machine learning for optimization problems: Aya Al Masri, Omar Kaddoura
Vertex splitting into special graph classes: Mohamad Deryan, Joe Semaan
Stochastic thresholding for graph-based clustering: Mohammad El-Asal
LLMs and blockchain systems: Mohamad Sabra
Feature selection for biology data: Cynthia Chaaya, Nadim Obeid
Projects
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Algorithmic and Applied Aspects of Network Domination
Machine Learning for Optimization Problems
Correlation Clustering via Graph Modification
Combinatorial Methods for Feature selection
Graph Compression and Embedding
Opportunities
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We are hiring... If you are interested in a postdoctoral position, please send your CV and a brief statement of research interests by email to the lab director. Email: faisal.abukhzam(AT)lau.edu.lb |
Last updated: 2026-01-04