Mr. Junkang Zheng | Fault diagnosis | Best Researcher Award

Zhejiang Industry Polytechnic College | China

Junkang Zheng is a dedicated teacher at Zhejiang Industry Polytechnic College, specializing in the integration of artificial intelligence with industrial applications, particularly in intelligent fault diagnosis and numerical simulation. He has built his academic training and professional experience around computational analysis and smart diagnostic systems, applying AI-driven models to enhance accuracy, efficiency, and predictive analysis in industrial fault detection. His work demonstrates strong engagement with intelligent diagnosis research, producing peer-reviewed publications that contribute to developing more reliable and automated maintenance systems. His research interests include artificial intelligence algorithms, simulation-based equipment monitoring, and data-driven fault prediction, reflecting a commitment to improving industrial safety and performance through advanced computational tools. He possesses research skills in machine learning, numerical modeling, algorithm optimization, data processing, and diagnostic model implementation, enabling him to contribute to innovative solutions in equipment fault analysis. Zheng has also showcased his innovative capabilities through multiple patent contributions, supporting the practical translation of AI-based diagnostic technologies. His research outputs and patents have earned citations and recognition for their relevance in intelligent industrial systems. Overall, Zheng exemplifies a researcher who combines theoretical expertise with applicable innovations, helping advance intelligent condition monitoring and strengthening the role of AI in engineering reliability and industrial development.