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LSU Today Flagship Faculty

Xin Shane Li

Xin Shane Li

Assistant Professor
Department of Electrical & Computer Engineering
Center for Computation & Techonology

What was your previous position and where?

I completed my B.E. at the University of Science and Technology of China in 2003, my M.S. and Ph.D. at State University of New York at Stony Brook in 2005 and 2008 respectively, all in computer science. Being a member of the faculty at LSU has been my only academic position.

What brought you to LSU?

I came to LSU because of its multidisciplinary research environment, friendly people, prestigious academic units, beautiful campus and so forth.

What is your research interest?

I work in the area of computer graphics, geometric modeling and processing, computer vision and visualization.

What do you hope to accomplish at LSU?

I hope to establish a nationally and internationally recognized research program in visual computing at LSU.

What do you enjoy most about LSU?

I most enjoy my colleagues in electrical and computer engineering and the Center for Computation & Technology, and the outstanding and multidisciplinary research program.

What are your major accomplishments?

As a young faculty member just starting my career, my greatest accomplishment by far has been developing our research program. I am pleased to see that the graphics research program in ECE/CCT has been initiated. Through my grants and national/international collaborations, our Graphical and Visual Computing, or GVC, group has been built up. I have led seven Ph.D. students and several master students in GVC in conducting exciting computer graphics research enthusiastically. We have published one book, 11 top journal papers and many conference papers during the past 3-4 years. Meanwhile, through our research, we see great potential for unique applications of graphics and 3D modeling techniques on broader scientific tasks such as facial reconstruction for postmortem identification in forensic research and law enforcement, and autonomous exploration robots. We will be excited to see revolutionary new techniques in different multidisciplinary scientific areas as a result of our work, and that they impact our daily lives.


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