Papers
12
Total Citations
223
H-Index
8
About
Dr. Mourad Oussalah is a leading researcher in intelligent systems, information fusion, and robotics, whose work has significantly advanced the handling of uncertainty in autonomous decision-making. His major contributions lie at the intersection of fuzzy set theory and sensor fusion, where he has developed novel frameworks for merging and aggregating uncertain information. Notably, his highly cited papers on "Intelligent Adaptive Mobile Robot Navigation" and "On the use of Hamacher's t-norms family for information aggregation" (each with 49 citations) have become foundational references in the field. Dr. Oussalah pioneered a new fuzzy set merging technique using inclusion-based clustering, which has been instrumental in simplifying fuzzy rule bases for complex systems. His work on possibilistic Kalman filtering for radar tracking and adaptive combination rules has further demonstrated his ability to bridge theoretical algebra with practical applications in mobile robotics and supervisory control. Through his research, Dr. Oussalah has provided critical tools for robot localization, landmark-based positioning, and contact identification, making him a key figure in the development of robust, uncertainty-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Adaptive Mobile Robot Navigation49 citations · 2001
- 2On the use of Hamacher's t-norms family for information aggregation49 citations · 2003
- 3A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering27 citations · 2008
- 4Possibilistic Kalman filtering for radar 2D tracking22 citations · 2000
- 5Study of some algebraical properties of adaptive combination rules19 citations · 2000
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- 8Positioning of a mobile robot with landmark-based method9 citations · 2002
- 9Suboptimal Multiple Model Filter for Mobile Robot Localization7 citations · 2001
- 10Fuzzy linear regression for contact identification4 citations · 2002