Leonidas Guibas
Professor at Stanford University
Schools
- Stanford University
Links
Biography
Stanford University
Professor Guibas heads the Geometric Computation group in the Computer Science Department of Stanford University and is a member of the Computer Graphics and Artificial Intelligence Laboratories. He works on algorithms for sensing, modeling, reasoning, rendering, and acting on the physical world.
Guibas interests span computational geometry, geometric modeling, computer graphics, computer vision, sensor networks, robotics, and discrete algorithms --- all areas in which he has published and lectured extensively. Current foci of interest include geometric modeling with point cloud data, deformations and contacts, organizing and searching libraries of 3D shapes and images, sensor networks for lightweight distributed estimation / reasoning, analysis of GPS traces and other mobility data, and modeling the shape and motion biological macromolecules and other biological structures.
More theoretical work is aimed at investigating fundamental computational issues and limits in geometric computing and modeling.
Academic Appointments
- Professor, Computer Science
- Professor (By courtesy), Electrical Engineering
- Member, Bio-X
- Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
- Member, Institute for Computational and Mathematical Engineering (ICME)
- Affiliate, Stanford Woods Institute for the Environment
Honors & Awards
- Fellow, ACM (1999)
- Allen Newell Award, ACM (2008)
- Fellow, IEEE (2011)
- Member, National Academy of Engineering (2017)
- Member, National Academy of Arts and Sciences (2018)
Professional Education
- PhD, Stanford University (1976)
- MS, California Institute of Technology (1971)
- BS, California Institute of Technology (1971)
Videos
TUM AI Lecture Series - Joint Learning Over Visual and Geometric Data (Leonidas Guibas)
IAS Seminar Series on Big Data: Prof Leonidas Guibas (15 Dec 2015 )
Leonidas Guibas: Joint Learning Over Visual and Geometric Data
3DGV Seminar: Leonidas Guibas - Joint Learning over Geometric Data
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