Moufid Harb

Larus Technologies (Canada), Ottawa University, University of Ottawa

Papers

Total Citations

H-Index

About

Moufid Harb is a researcher specializing in robotics, artificial intelligence, and autonomous systems, with a particular focus on intelligent control architectures for mobile robots and multi-agent security applications. His work bridges the gap between theoretical AI techniques and their practical deployment in challenging real-world environments. Harb's most influential contribution, "Mission-Driven Robotic Intelligent Sensor Agents for Territorial Security" (2011, 20 citations), demonstrates his capacity to tackle large-scale, high-stakes problems, proposing multi-agent robotic frameworks for securing international borders and critical infrastructure. This work reflects a sophisticated understanding of how autonomous systems can collaborate to address complex territorial challenges. His earlier research laid important groundwork in intelligent robot navigation, exploring how neural networks and fuzzy logic can be combined to overcome limitations inherent in single-technique approaches. Papers such as "Speed Control of a Mobile Robot Using Neural Networks and Fuzzy Logic" (2009, 8 citations) and his 2008 studies on neural-based environmental recognition highlight his sustained commitment to developing adaptive, brain-inspired control systems for robots operating in environments inaccessible or hazardous to humans, such as medical clean rooms and industrial facilities. Collectively, his publications make him a notable contributor to intelligent autonomous systems research.