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Kathy Loeppky
Conference Coordinator

kloeppk@sandia.gov
(505) 844-2376







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Invited Speakers




Invited Speaker Details

Tzanio Kolev
Lawrence Livermore National Laboratory, USA

Title: Large-scale Finite Element Applications on High-Order Meshes

Biography: Tzanio Kolev is a computational mathematician at the Center for Applied Scientific Computing of Lawrence Livermore National Laboratory (LLNL) where he works on efficient finite element discretizations and solvers for problems in compressible shock hydrodynamics, multi-material ALE, computational electromagnetics and other application areas. He joined LLNL in 2004 after earning a Ph.D. in Mathematics from Texas A&M University. Tzanio is the director of the Center for Efficient Exascale Discretizations (CEED) in the Exascale Computing Project and the project leader of several projects at LLNL, including MFEM, BLAST and ETHOS. Tzanio’s research interests include the development and analysis of finite element discretizations, high-order methods and applications, performance optimizations and scalability, discretization-enhanced multigrid solvers, and the design and implementation of large-scale scientific software. His work on AMS – the first provably scalable solver for electromagnetic diffusion problems, was selected as one of the top ten breakthroughs in computational science in a 2009 DOE-ASCR report.

Abstract: Coming soon.



Dr. David Bommes,
University of Bern, Switzerland

Title: Integer-Grid Maps for Quadrilateral and Hexahedral Mesh Generation

Title: Integer-Grid Maps for Quadrilateral and Hexahedral Mesh Generation

Biography: David Bommes is a full professor in the institute of computer science at University of Bern and head of the Computer Graphics Group. Before he has been a junior professor in the department of computer science at RWTH Aachen University (2014-2018), where he also received his Ph.D. in 2012. Between 2012 and 2014 David Bommes has been a researcher in France at Inria Sophia Antipolis. His research interests include algorithms for geometry processing and specifically mesh generation, (discrete) differential geometry and numerical optimization. David Bommes’ scientific contributions to computer graphics and geometry processing have been recognized by the EUROGRAPHICS Association with two prestigious prizes, the Best Ph.D. Thesis Award in 2013 and the Young Researcher Award in 2016.

Abstract: Automatically generating quadrilateral and hexahedral meshes is a notoriously challenging task, specifically if alignment to freeform surfaces in combination with high mesh regularity and low distorted elements is required. Novel algorithms based on global optimization rely on the construction of integer-grid maps, which pull back a Cartesian grid of integer isolines from a 2D or 3D domain onto a structure aligned quadrilateral or hexahedral mesh. Such global optimization algorithms do not suffer from limitations known from local advancing front methods, as for instance a high rate of irregularity, and enable meshes comparable to manually designed ones by finding a good compromise between regularity and element distortion. The key to efficiently finding high-quality solutions are 3D frame fields that are employed to optimize the orientation and sizing of mesh elements globally. In my talk, I will give an overview of the state of the art and discuss the strengths and weaknesses of available algorithms, including open challenges for hexahedral meshing.




Ryan Schmidt
Lawrence Livermore National Laboratory, USA

Title: Triangulating the future of 3D Design Tools

Biography: Ryan Schmidt leads the Geometric Modeling team at Epic Games, and has an Adjunct appointment at the University of Toronto. He previously founded Gradientspace Corp, where he wrote the open-source mesh processing library geometry3Sharp, created the open-source 3D Printing app Cotangent, and helped Nia Technologies bring 3D-printed prosthetics to the developing world. From 2011 to 2016 he was head of the Design & Fabrication Group at Autodesk Research, which he joined with the acquisition of his mesh modeling software Meshmixer. Meshmixer has been downloaded millions times, by a userbase ranging from elementary school students to aerospace engineers. He academic research focuses on 3D modeling, 3D user interfaces, and geometry processing. Find him on the web at https://urldefense.proofpoint.com/v2/url?u=http-3A__www.rms80.com&d=DwIFAg&c=slrrB7dE8n7gBJbeO0g-IQ&r=Rzi2u-5rQB71qeVh4_DaQA&m=f0sn77hUsqEsPQQqzw5V9oyLAjUq3AwtnPvno3ooRjo&s=Bgx0QwOnEu3EkPgK-3QOfjkZXZ4JE8VogTNU8kqb6v0&e=, or on twitter @rms80.

Abstract: Historically, triangle meshes have not been held in particularly high regard in the world of 3D design tools. Triangles - sometimes downgraded to "facets" - are more likely to be the source of problems rather than solutions. However, over the past two decades the outlook for triangle meshes has markedly improved. Advances in geometry processing now allow us to solve complex energy minimizations over triangle surfaces, compute robust booleans, and efficiently perform spatial queries like point containment. As a result, the lowly triangle mesh now supports mathematical capabilities far beyond what is practical with traditional CAD B-Reps. Modern rendering, simulation, and manufacturing methods - particularly Additive Manufacturing - are also largely driven by triangle meshes. From this viewpoint, the trimmed NURBS patch appears to primarily be a user interface to, and procedural generator of, a patch of triangles. This leads us to ask, why not cut out the middle-man and design directly with triangles? In this talk I will describe my attempts to do just that, first by embedding some organizational structure into the mesh, and then using this simplified topology to provide novel design interfaces.




Danny Kaufman
Adobe Research, Seattle, WA, USA

Title: Numerical Optimization of Geometric and Physical Behavior on Meshes

Biography: Danny Kaufman is a Senior Research Scientist at Adobe based in Seattle, WA. Previously he was a post-doctoral researcher at Columbia University working with Prof. Eitan Grinspun and before that finished his PhD work at the University of British Columbia advised by Prof. Dinesh Pai. Danny’s research focuses on developing predictive, expressive and efficient computational models and tools for applications in physical simulation, geometry processing, computer animation and design. His work has been broadly applied in domains ranging from from live broadcast (The Late Show with Steve Colbert, The Simpsons) and production (Our Cartoon President) television, to visual effects research (with Weta and Disney), and on to the predictive physical modeling of granular assemblies and passive dynamic robotics.

Abstract: Coming soon.