Large-scale Geometric Data Processing for Scientific Computing and Computational Forensics
School of Electrical Engineering and Computer Science, Louisiana State University
Location: Rudder Tower - Room 410
Time: April 2, 2018 - 2:00-3:00pm
I will talk about how our research of geometric data processing could (1) benefit scientific computing applications, and (2) benefit from high performance computing. The first part is on large-scale mesh generation. In many scientific computing tasks, analysis or simulations need to be performed on complex geometric regions. Constructing high-quality finite element meshes can result in more efficient and stable computations and PDE solving. We have developed a new distributed and parallel computational framework to generate semi-structured regular meshes for large-scale geometric regions. Compared with existing meshing algorithms/software, our framework can handle huge and complex geometries distributedly using high-performance clusters, and can support flexible singularity placement to produce low-distortion mesh elements. In the second part, I will demonstrate how we utilize powerful computational tools to develop effective digital pipelines/algorithms to process bones and solve challenging forensic problems in practical law enforcement.
Xin Li is the Oskar R. Menton associate professor in the School of Electrical Engineering and Computer Science at Louisiana State University (LSU). He received his B.Eng. in Computer Science from University of Science and Technology of China in 2003, and Ph.D. in Computer Science from State University of New York at Stony Brook in 2008. After graduation, he joined LSU as an assistant professor, and was promoted to an associate professor in 2014. He led the Geometric and Visual Computing lab at LSU. His research interests include geometric and visual computing, geometric data modeling and processing, and their applications in graphics, vision, robotics, forensics, and scientific computing. He has published over 80 papers in peer-reviewed journals and conference proceedings. He got the IBM Faculty Award in 2011, and received the LSU Flagship Faculty award in 2010, LSU C. W. Armstrong Jr. Professorship of Engineering in 2012, and Oskar R. Menton Professorship in 2013. More details of his research can be found at http:///www.ece.lsu.edu/xinli.