Yan Liu
About Yan Liu
Yan Liu is a Research Scientist at Oak Ridge National Laboratory, specializing in scalable spatial AI algorithms and high-performance computing for geospatial applications. He holds a PhD in Informatics from the University of Illinois at Urbana-Champaign and has a strong background in computer science and engineering.
Work at Oak Ridge National Laboratory
Yan Liu has been employed as a Research Scientist at Oak Ridge National Laboratory since 2019. In this role, Liu focuses on developing scalable spatial AI algorithms aimed at geospatial optimization and statistical sampling. This position allows Liu to engage in advanced scientific computing and contribute to significant research initiatives within the laboratory.
Previous Experience at University of Illinois
Prior to joining Oak Ridge National Laboratory, Yan Liu worked at the University of Illinois at Urbana-Champaign as a Senior Research Programmer from 2014 to 2019. During this five-year tenure, Liu contributed to various research projects, enhancing expertise in high-performance computing and data analytics.
Education and Expertise
Yan Liu holds a Doctor of Philosophy (PhD) in Informatics from the University of Illinois at Urbana-Champaign and a Master of Engineering (M.E.) in Computer Engineering from Wuhan University. Liu also earned a Master’s degree in Computer Science from the University of Iowa and a Bachelor of Science (B.S.) in Computer Science from Wuhan University. This educational background supports Liu's specialization in high-performance computing and data analytics.
Research Focus and Interests
Yan Liu's research interests include scalable spatial AI algorithms, geospatial learning frameworks, and big geospatial data analytics. Liu specializes in the fusion of high-performance computing with high-end data analytics, particularly in the context of geospatial applications. Additionally, Liu has expertise in developing parallel heuristic algorithms for combinatorial optimization.
Transdisciplinary Research Collaboration
Yan Liu engages in transdisciplinary research collaboration to advance scientific computing. This collaborative approach enhances the integration of various scientific disciplines, facilitating innovative solutions and methodologies in the field of geospatial applications.