Dr. Ziyun Wang

Biography

Ziyun (Claude) Wang is an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University. His research focuses on enabling intelligent robotic systems capable of perceiving, understanding, and interacting with complex dynamic environments. He is broadly interested in embodied AI and robots that operate reliably under extreme unstructured conditions, including high-speed motion and challenging lighting, while adapting to rapidly changing scenes. His work includes the development of geometric learning-based methods for motion and scene understanding, as well as robust perception control strategies that bridge theory and real-world deployment. A key element of his research leverages emerging sensing technologies, particularly neuromorphic sensors, as powerful tools for robotic perception. By exploiting the high temporal resolution and sparse data characteristics of event-based sensors, Professor Wang designs algorithms that enable fast and efficient scene understanding, facilitating capabilities such as high-speed vision and low-latency motion estimation under difficult visual conditions. He has co-authored publications in leading venues such as CVPR, ICCV, ECCV, ICLR, AAAI, ICIP, ICCP, ISER, and RA L.

Research Interests