The Combinatorics in AI Laboratory at the Lebanese American University (LAU) aims at advancing both theoretical and applied research at the intersection of combinatorics, graph theory, algorithms, and artificial intelligence. Our work includes the development of novel mathematical frameworks and optimization techniques to tackle practical challenges in data science, machine learning, and AI-driven applications.



Lab Members

Director: Faisal N. Abu-Khzam

Research Associates:

• Nacim Oijid
• Dipayan Chakraborty
• Lucas Isenmann
• Sergio Thoumi

Research Assistants/Students

• Fragment assembly of DNA
  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 methods for graph-based clustering
  Mohammad El-Asal
• LLMs and blockchain systems
  Mohamad Sabra
• Feature selection methods for biology data
  Cynthia Chaaya
  Nadim Obeid

Projects

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
Cancer Data Research


We are hiring. If interested in a postdoctoral position, please send your CV and statement of research interests by email to the lab director.