M-Mahdi Naddaf-Sh
Lamar University, Ford Motor Company (United States), University of California, Davis
Papers
4
Total Citations
41
H-Index
4
About
M-Mahdi Naddaf-Sh is a researcher at the forefront of robotics, artificial intelligence, and manufacturing automation. His work spans assistive autonomous systems, motion planning, and machine learning for industrial quality control. A standout contribution is the design of a real-time red lionfish detection system for AUVs and ROVs, addressing an urgent ecological crisis—this work has garnered 24 citations and showcases his ability to apply robotics to environmental challenges. In manipulation, Naddaf-Sh has pioneered efficient motion planning using control barrier function-induced neural controllers, achieving real-time performance in crowded environments (7 citations). His exploration of active vision for bimanual robotic manipulation (2025, 4 citations) challenges conventional fixed-camera setups, promising to overcome occlusion and field-of-view limitations in imitation learning. Beyond robotics, he has applied machine learning to classify defects in automotive stud welding (6 citations), demonstrating versatility in industrial applications. With a growing citation record and innovative contributions to both ecological and manufacturing domains, Naddaf-Sh is shaping the future of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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