Jing Zhang is an academic professional and researcher with over a decade of experience in the aviation industry. She has been associated with Constructor University, bringing an extensive background in aviation and data science to her academic pursuits.
She serves as a PhD Researcher at the Data-Driven Industrial Systems group. Her current research focuses on artificial intelligence, big data, and digital twin technologies within aviation and industrial systems. Her work explores the development of AI-based predictive maintenance models to anticipate system failures, digital twin frameworks to simulate real-world operations, and fault-tolerant architectures designed to ensure continuous and reliable operation in safety-critical environments like aviation. Her research aims to contribute to both the academic understanding of these technologies and their practical application in the real world.