Zhan Jiang
Papers
1
Total Citations
12
H-Index
1
About
Zhan Jiang is a rising researcher in sustainable construction materials, specializing in the data-driven design of ultra-high-performance concrete (UHPC) and the valorization of solid wastes. His most-cited work, "Multi-agent collaboration for knowledge-guided data-driven design of ultra-high-performance concrete (UHPC) incorporating solid wastes" (2025, 12 citations), introduces a pioneering framework that fuses multi-agent artificial intelligence with domain expertise to optimize UHPC formulations. This approach not only enhances material performance but also enables the large-scale incorporation of industrial by-products, addressing critical challenges in both structural engineering and environmental sustainability. By bridging machine learning, materials science, and circular economy principles, Jiang’s research offers a scalable pathway to reduce the carbon footprint of high-performance concrete without compromising mechanical properties. His work has already garnered attention for its innovative integration of knowledge-guided models with multi-agent systems, setting a new standard for intelligent material design. As a young scholar, Jiang’s contributions are poised to influence next-generation construction practices, demonstrating how AI can accelerate the transition toward greener, smarter infrastructure.
Research Focus
Key Achievements
Top Papers
- 1