Akil Elkamel

I'm a researcher in Computer Science focusing on optimization, clustering algorithms, and software engineering. My recent work has centered on developing intelligent systems for manufacturing and resource allocation optimization, particularly using agent-based approaches and bio-inspired algorithms.

My work focuses on developing novel clustering algorithms inspired by ant colony behavior, recommendation systems for software design, and optimization techniques for manufacturing systems. I've made significant contributions to UML class recommendation systems and bio-inspired hierarchical clustering algorithms with backtracking strategies.

Currently, I'm exploring applications of particle swarm optimization and agent-based frameworks for solving complex scheduling and resource allocation problems in flexible manufacturing systems. My research combines elements of artificial intelligence, swarm intelligence, and software engineering to create practical solutions for industrial applications. I'm particularly interested in how bio-inspired algorithms can be adapted to solve real-world optimization challenges.