Ziqi Huang

Papers

Total Citations

374

H-Index

About

Dr. Ziqi Huang is a leading researcher at the intersection of artificial intelligence and industrial automation, with a primary focus on AI-driven digital twins, smart manufacturing, and advanced robotics. Their most cited work, the 2021 survey on "AI-Driven Digital Twins in Industry 4.0," has garnered 374 citations, establishing it as a foundational reference in the field. This comprehensive review systematically maps how digital twin technologies—digital replicas of physical systems—integrate with AI algorithms to enable real-time monitoring, predictive maintenance, and autonomous decision-making in manufacturing environments. Dr. Huang’s contributions extend beyond surveys; they have advanced the theoretical framework for digital twin infrastructure, emphasizing the critical role of data pipelines and algorithmic cores in bridging physical and virtual worlds. Their work has been instrumental in shaping Industry 4.0 paradigms, offering practical roadmaps for implementing intelligent, self-optimizing production systems. By synthesizing complex technological landscapes, Dr. Huang has provided both academia and industry with clear pathways for leveraging AI to enhance operational efficiency, reduce downtime, and drive innovation in robotics. Their research continues to influence next-generation smart factories and autonomous systems.