Papers
2
Total Citations
10
H-Index
2
About
Eriyeti Murena is a forward-thinking researcher at the intersection of artificial intelligence, industrial automation, and sustainable manufacturing. Their work focuses on modernizing traditional electrical engineering processes—particularly electric motor rewinding—through the integration of AI and robotics. Murena’s major contributions include pioneering the application of AI to optimize shop-floor operations in electrical rewinding factories, as demonstrated in their 2020 paper (5 citations), which explores how AI and big data convergence can advance UN Sustainable Development Goals. They also developed a novel flexible automation system for rewinding induction motor stators using robotic arms (2019, 5 citations), addressing a critical bottleneck in electric machine manufacturing. This work tackles the industry’s lag in adopting modern trends, offering a scalable, automated solution to a traditionally manual and challenging task. With a combined 10 citations across these key papers, Murena’s research is gaining traction among engineers and sustainability advocates. Their achievements highlight a commitment to bridging legacy industrial practices with cutting-edge technology, making them a notable voice in the push for smarter, greener manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2