Nadia Nedjah
Papers
29
Total Citations
562
H-Index
13
About
Nadia Nedjah is a prominent computer scientist and engineer whose research spans swarm robotics, computational intelligence, and hardware-accelerated machine learning. She is best known for her foundational contributions to swarm robotic systems, particularly in the areas of distributed localization, dynamic task allocation, and simultaneous localization and mapping (SLAM). Her highly cited 2019 review on swarm robotics methodologies and standardization — garnering 131 citations — has become an essential reference for researchers navigating this rapidly evolving field, helping to establish common frameworks and benchmarks across the discipline. Nedjah's work on particle swarm optimization (PSO)-based algorithms has advanced how robotic swarms efficiently coordinate, locate themselves, and distribute tasks in dynamic environments without centralized control. Beyond robotics, she has made notable contributions to hardware implementation of artificial neural networks on FPGAs and co-edited influential volumes on fuzzy systems engineering and evolutionary approaches to mobile robotics, reflecting the breadth of her expertise. Her publications collectively exceed 400 citations, demonstrating sustained impact across multiple research communities. For students entering swarm robotics or bio-inspired computing, Nedjah's body of work offers both rigorous theoretical grounding and practical algorithmic insight.
Research Focus
Key Achievements
Top Papers
- 1Review of methodologies and tasks in swarm robotics towards standardization131 citations · 2019
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- 5Fuzzy Systems Engineering: Theory and Practice36 citations · 2005
- 6Simultaneous localization and mapping using swarm intelligence based methods28 citations · 2020
- 7Mobile Robots: The Evolutionary Approach24 citations · 2007
- 8Distributed and resilient localization algorithm for Swarm Robotic Systems21 citations · 2016
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