Susu Xu is an assistant professor in the Department of Civil and Systems Engineering, the Center for Systems Science and Engineering, and faculty member of DSAI at Johns Hopkins University. She develops integrative solutions—combining collaborative sensing, machine learning, and adaptive decision‑making—to enable intelligent disaster response and a resilient built environment. Methodologically, her group advances multi‑modal collaborative sensing (especially mobile and remote sensing), multi‑agent systems, causal graphical modeling, and decisive learning. These methods power real‑time disaster information systems, delivering rapid situational awareness and guiding long‑term recovery across earthquakes, hurricanes, and wildfires, as well as large‑scale urban computing and monitoring like air pollution and infrastructure health monitoring.
Xu’s contributions have been recognized with the NSF CAREER Award, npj Natural Hazards Annual Cover Paper Award, the ASME Structural Health Monitoring Best Journal Paper Award, ICMLA 2018 Best Paper, Champion of the NeurIPS Adversarial Vision Challenge, and MIT’s Civil and Environmental Engineering Rising Star distinction. Her research is supported by NSF, USGS, NIST, and DOT.
Major natural hazards often induce cascading impacts changing geo-environment and human society. Understanding and assessing such cascading impacts require a systematical integration of causality, uncertainty, empirical physical domain knowledge, and […]
Strengthening wildfire resilience requires accurate modeling and a deep understanding of collective human behavior during wildfire evacuations. In particular, there is a critical need for simulation models that can realistically […]
Timely and reliable decision-making is vital for flood emergency response, yet it remains severely hindered by limited and imprecise situational awareness due to various budget and data accessibility constraints. Traditional […]
