معرفی
Jingqiong Zhang is a Research Associate in Data Analytics for Manufacturing at the School of Electrical and Electronic Engineering, University of Sheffield. Her work spans interdisciplinary applications of data analytics in materials science, robotics, and industrial systems.
- University: University of Sheffield
- School: School of Electrical and Electronic Engineering
- Email: Jingqiong.zhang@sheffield.ac.uk
Research Interests: Her research focuses on:
- Advanced data analytics for materials characterization
- Machine learning in manufacturing systems
- Signal and image processing for industrial diagnostics
- Human-robot collaboration safety frameworks
- Cheminformatics and hyperspectral imaging
- Optimization of energy and process systems
Publication Trends: Recent articles highlight integration of AI/ML with manufacturing (e.g., digital twins for human-robot collaboration), hyperspectral imaging innovations for materials science, and novel sensor applications in energy and chemical processes. Conference papers emphasize practical implementations of her research.
Labs & Collaborations: Based in the Amy Johnson Building, she collaborates with researchers like L. Mihaylova, Y. Yan, and C. Rodenburg across multidisciplinary projects in manufacturing analytics and materials science.
