Mohamed Fezari

Badji Mokhtar-Annaba University

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

5
H-Index
10
Papers
72
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A voice command system for autonomous robots guidance
17 citations · 2006
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Badji Mokhtar-Annaba University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago