Tarek M. Hamdani
Papers
1
Total Citations
10
H-Index
1
About
Tarek M. Hamdani is a researcher whose work lies at the intersection of robotics, multi-objective optimization, and intelligent systems. His key research areas include grasp planning for robotic hands, distributed optimization algorithms, and Pareto-based multi-objective decision-making. Hamdani’s most notable contribution is a hierarchical design for distributed Multi-Objective Particle Swarm Optimization (MOPSO), which uses sub-swarms based on population Pareto fronts to tackle the complex grasp planning problem—finding optimal contact points between a five-fingered hand and an object. This work, published in 2013 and cited 10 times, demonstrates his innovative approach to solving computationally difficult problems in robotics. By combining swarm intelligence with hierarchical decomposition, Hamdani has advanced the efficiency and scalability of multi-objective optimization in real-world applications. His research is particularly valuable for students and engineers working on robotic manipulation, autonomous systems, and evolutionary computation, offering practical frameworks for handling conflicting objectives in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1