Haris Imam Karim Fathurrahman

Papers

Total Citations

119

H-Index

About

Haris Imam Karim Fathurrahman is a pioneering researcher at the intersection of artificial intelligence, mechatronics, and environmental sustainability. His primary research focuses on developing intelligent waste management systems, with key contributions in deep learning-based waste detection and automated sorting technologies. Fathurrahman’s most impactful work, "Deep learning networks for real-time regional domestic waste detection," has garnered 99 citations, demonstrating its significance in advancing real-time waste classification using neural networks. He further extended this work with the "Development of intelligent Municipal Solid Waste Sorter for recyclables" (18 citations), integrating mechatronic systems for automated recycling. Notably, his "Indonesian Waste Database: Smart Mechatronics System" (2 citations) addresses a critical gap by creating a localized waste database coupled with robotic sorting, tailored to Indonesia’s unique waste composition. This database is essential for training AI models and optimizing waste management in urban settings. Fathurrahman’s contributions are vital for smart city initiatives, offering scalable, data-driven solutions to global waste challenges. His work exemplifies how AI and robotics can transform environmental management, making him a key figure in sustainable technology research.