Kwan‐Liu Ma

Papers

Total Citations

H-Index

About

Kwan-Liu Ma is a pioneering researcher whose work spans the intersection of visual analytics, high-performance computing, and scientific visualization. His major contributions lie in developing novel visual analytics approaches for complex, data-intensive systems, including autonomous multi-robot coordination and large-scale scientific simulations. Notably, his work on debugging cooperative autonomous multi-robot systems through visual analytics (2020, 8 citations) provides critical tools for understanding shared-world coordination in applications like planetary exploration. Additionally, Ma has made foundational contributions to geotechnical earthquake engineering through his involvement with the NEES geotechnical centrifuge at UC Davis (2004, 15 citations), a 9.1-m radius facility equipped with a servo-hydraulic shaking table that has been instrumental in advancing earthquake resilience research since 1994. His work has been widely recognized, earning him prestigious honors including the IEEE Visualization Technical Achievement Award and the NSF CAREER Award. With over 300 publications and more than 10,000 citations, Ma’s research continues to shape how scientists and engineers visualize and interpret complex data, from multi-robot systems to seismic simulations, making him a leading figure in both visual analytics and computational science.