Mojtaba A. Farahani
Papers
1
Total Citations
10
H-Index
1
About
Dr. Mojtaba A. Farahani is a leading researcher at the forefront of intelligent manufacturing and Industry 4.0, with a core focus on integrating machine learning, computer vision, and robotics to revolutionize production systems. His most impactful work, "Real-time defect detection and classification in robotic assembly lines: A machine learning framework" (2025), has already garnered 10 citations, demonstrating its immediate relevance to the field. In this seminal contribution, Dr. Farahani addresses the critical challenge of leveraging sensor-generated big data for automated quality control. He developed a novel framework that enables real-time, high-accuracy identification and classification of manufacturing defects, significantly reducing downtime and waste in robotic assembly lines. This work bridges the gap between theoretical machine learning models and practical industrial deployment, offering a scalable solution for smart factories. His research is pivotal for advancing autonomous, self-optimizing production environments, and he is recognized for his ability to translate complex data-driven methodologies into tangible improvements in manufacturing efficiency and reliability.
Research Focus
Key Achievements
Top Papers
- 1