Gusti Ahmad Fanshuri Alfarisy

Institut Teknologi Kalimantan, Universiti Brunei Darussalam

Papers

Total Citations

H-Index

About

Gusti Ahmad Fanshuri Alfarisy is a researcher at the forefront of intelligent manufacturing and machine learning, with a focus on bridging the gap between industrial automation and adaptive AI systems. His primary research areas include condition monitoring, robotic grinding processes, and open-world recognition—a cutting-edge field that enables machine learning models to identify and learn from unknown classes in real time. Alfarisy’s major contribution lies in applying machine learning models to predict abrasive belt wear in robotic arm grinding, a critical challenge in manufacturing where belt degradation directly impacts product quality and process efficiency. His 2024 paper on this topic has already garnered 27 citations, reflecting its immediate relevance to both academia and industry. Additionally, his work on unsupervised domain-specific open-world recognition, with 3 citations, pushes the boundaries of how AI systems can autonomously adapt to novel environments without human intervention. Alfarisy’s research not only advances theoretical understanding but also offers practical solutions for smart factories, making him a notable figure in the intersection of robotics, AI, and industrial engineering.