Mohamed Fezari
Papers
10
Total Citations
72
H-Index
5
About
Mohamed Fezari is a researcher whose work spans robotics, speech recognition, embedded systems, and artificial intelligence, with particular emphasis on developing practical human-machine interfaces for assistive and autonomous technologies. His most influential contribution lies in pioneering voice command systems for robotic control, demonstrated through a series of progressively sophisticated designs that earned him his most-cited work — a microcontroller-based voice guidance system for autonomous robots (2006, 17 citations). Building on this foundation, Fezari advanced the field by integrating Hidden Markov Models and Gaussian Mixture Models (HMM/GMM) into speech-controlled robotic arms, including Arabic spotted word recognition systems, showcasing a commitment to linguistically inclusive technology. His 2008 work on embedded systems for motorized wheelchair control (12 citations) highlights a meaningful dedication to assistive technologies for severely handicapped users. Fezari has also contributed to wireless sensor network fault detection, viability-based robot navigation, and more recently explored the transformative potential of generative AI in space applications. Collectively accumulating over 70 citations, his body of work reflects a career dedicated to bridging intelligent signal processing with real-world robotic and assistive applications.
Research Focus
Key Achievements
Top Papers
- 1A voice command system for autonomous robots guidance17 citations · 2006
- 2
- 3
- 4Viability-Based Guaranteed Safe Robot Navigation8 citations · 2018
- 5Revolutionizing Space: The Potential of Artificial Intelligence6 citations · 2024
- 6Voice command system based on pipelining classifiers GMM-HMM5 citations · 2012
- 7
- 8Speech as a high level control for teleoperated manipulator arm4 citations · 2010
- 9Failure detection on wireless sensor network based on comparative study3 citations · 2017
- 10