Xiuchuan Tang

Huazhong University of Science and Technology

Papers

Total Citations

168

H-Index

About

Xiuchuan Tang is a leading researcher in cyber-physical systems (CPS), with a particular focus on data-driven modeling and discovery. His most-cited work, "Data driven discovery of cyber physical systems" (2019, 168 citations), addresses the fundamental challenge of modeling complex systems that integrate computation, networking, and physical processes. Tang’s major contribution lies in developing methods to automatically infer system dynamics from observational data, bypassing the need for hand-crafted physical models that often fail to capture the intricate interactions in smart grids, robotics, and intelligent manufacturing. This approach has proven transformative for applications where traditional modeling is impractical. Beyond this flagship paper, his research continues to push the boundaries of how data can reveal hidden structures in CPS, enabling more robust and adaptive control. With his work cited by engineers and computer scientists worldwide, Tang is recognized for bridging the gap between theory and real-world deployment, making him a key figure in the evolution of autonomous and interconnected systems.