Ashraf Abdelbar

Dr. Ashraf Abdelbar is a Professor in the Department of Mathematics and Computer Science at Brandon University. He holds a BSc in Computer Science from the American University in Cairo (1991), an MSc (1994), and a PhD (1996) in Computer Science from Clemson University, USA. His primary research focuses on artificial intelligence, optimization algorithms, and machine learning, with notable contributions to ant colony optimization, particle swarm optimization, and genetic algorithms.

Research Interests:

• Development of swarm intelligence algorithms for optimization problems (e.g., ant colony optimization, particle swarm optimization).
• Applications of neural networks in classification, data reduction, and training methodologies.
• Integration of evolutionary computation techniques with classical optimization methods.

Publications Trends: His work spans theoretical algorithm development and practical applications in domains like classification systems, recommendation systems, and combinatorial optimization. Recent trends include hybrid approaches (e.g., combining ant colony optimization with crossover operators) and parameter adaptation strategies for improved algorithm performance. Over 90 publications since 1996 reflect his sustained research output across conferences and journals in computational intelligence, swarm intelligence, and neural networks.

Labs/Teams: While no specific lab names are mentioned, collaborations with researchers like Khalid M. Salama, Donald C. Wunsch, and others indicate active participation in interdisciplinary projects focusing on optimization, machine learning, and neural network applications.