Yuhao Qi

Yankuang Energy Group Company Limited (China)

Papers

Total Citations

H-Index

About

Dr. Yuhao Qi is at the forefront of intelligent mineral processing, specializing in the application of deep learning and machine vision to coal preparation and solid waste management. His most cited work, "Design and application of coal gangue sorting system based on deep learning" (2024, 11 citations), addresses a critical challenge in the industry: the transition from traditional, labor-intensive coal washing to automated, green, and low-carbon sorting systems. By integrating convolutional neural networks with real-time sensor data, Dr. Qi’s system enables precise identification and separation of coal gangue—a major source of mining waste—directly on the conveyor belt. This innovation not only improves resource recovery rates but also significantly reduces environmental pollution and operational costs. His research directly supports the modernization of China’s coal industry, aligning with national goals for sustainable development. Dr. Qi’s work is a vital bridge between cutting-edge AI and practical engineering, offering a scalable solution for cleaner, smarter mining operations. As the field moves toward fully intelligent mineral processing plants, his contributions are laying the groundwork for a more efficient and environmentally responsible future.