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Kathy Loeppky
Conference Coordinator

(505) 844-2376

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Short Courses

Courses are taught by internationally known experts. Instructors typically include an overview of the state of the art of their topic, and highlight their own research, but also include the current work of others. It is intended to be a “course” in the traditional sense of enabling attendees to go forth and produce new results of their own, rather than simply use existing knowledge. This year we are having two short course tracks, each with two classes. One track is traditional “core” meshing topics, and the other is topics that we believe would “enrich” the perspective of meshing researchers beyond what they are most familiar with. The goal of the core topics is to bring attention to the state of the art, so that attendees would be positioned to contribute directly to that topic. The goal of the enrichment topics is to make attendees aware of exciting knowledge from nearby fields that could bring a new set of tools, math, and perspectives to meshing research. Both tracks are suitable for both new and experienced meshing researchers.

The IMR short courses will be held Monday, October 14, 2019. Courses are taught by internationally known experts in the field of Mesh Generation. Instructors will address practical issues in the design and implementation of both structured and unstructured mesh generation codes.

  • Core Track:
  • The Core session includes courses ideal for students just entering the field who may need a foundation for research.

  • Enrichment Track:
  • Based on the continued positive response to the addition of an advanced track, we are again offering advanced sessions that provide more challenging short course options for advanced students and seasoned professionals who would like to expand their current skill set in the development of mesh and grid generation algorithms.

To register for the short courses, make the appropriate addition during the registration process.

Core Track Instructors

Enrichment Track Instructors

Instructor Bios and Course Abstracts

Core Track Instructors

Dr. Marcel Campen
Osnabrück University, Germany

Title: Semi-Structured Quadrangulation using Vector Field and Grid Mapping Techniques

Biography: Prof. Dr. Marcel Campen is head of the Graphics & Geometric Computing group at Osnabrück University, Germany. He received his PhD from RWTH Aachen University in 2015, and performed postdoctoral research at the Courant Institute at New York University till 2017. His work commonly deals with aspects of robustness in the context of geometric data processing, with a particular focus on the computational generation and optimization of semi-structured surface and volume meshes.

Besides multiple best paper awards, Marcel Campen has received the Eurographics Best PhD Thesis Award in 2016. In 2018 he was elected Junior Fellow of the Eurographics Association. He has authored and co-authored state-of-the-art reports on directional fields and quadrilateral surface partitioning, and has organized multiple courses on these meshing-related topics at conferences like SIGGRAPH, SIGGRAPH Asia, and Eurographics.

Abstract: In various applications, meshes with quadrilateral elements are preferred over meshes with triangular elements due to their distinct characteristics. To facilitate the (semi-)automatic generation of such meshes for either planar domains or curved surfaces, a variety of algorithmic approaches have been proposed.

Over the past decade particular progress has been made in one particular, relatively novel category of quadrilateral meshing algorithms. These make use of vector fields (or more generally cross and frame fields) as well as quantized global parametrizations (or more specifically integer grid maps) of the domain to be meshed. When constructed properly, these objects from differential geometry impose semi-regular or block-structured grid patterns via their streamlines and isolines, respectively, well-suited for quad mesh generation purposes.

We discuss the underlying basic concepts and ideas, key algorithms and recent developments, questions of existence, robustness, efficiency, and generalizability, as well as future challenges in this exciting field.

Dr. Tayfun Tezduyar
Rice University, USA

Title: Introduction to Computational Fluid–Structure Interaction

Biography: Professor Tezduyar received his PhD degree from Caltech in 1982. He holds a 1986 Presidential Young Investigator Award. He received the computational mechanics award of the Japan Society of Mechanical Engineers, US Association for Computational Mechanics, International Association for Computational Mechanics, Argentine Association for Computational Mechanics, and the Japan Association for Computational Mechanics. Tezduyar was elected a Fellow of the American Society of Mechanical Engineers, US Association for Computational Mechanics, International Association for Computational Mechanics, American Academy of Mechanics, and the School of Engineering at University of Tokyo. He is an Editor of Computational Mechanics (Springer) and Modeling and Simulation in Science, Engineering and Technology (Springer). Tezduyar coauthored a textbook titled Computational Fluid-Structure Interaction: Methods and Applications (Wiley), with Japanese translation (Morikita). He has over 240 journal articles indexed by the Web of Science and was named Web of Science Highly Cited Researcher.

Abstract: The course will start with the basic concepts of fluid–structure interaction (FSI) and moving boundaries and interfaces (MBI). The basic concepts to be covered include the general computational challenges in FSI and MBI, and the special challenges that specific classes of FSI and MBI problems involve. We will describe how the challenges are overcome with a core method and special methods targeting specific classes of problems. The course will focus on moving-mesh methods, more specifically the space-time (ST) methods. When an FSI or MBI problem requires high-resolution representation of boundary layers near solid surfaces, ALE and ST methods, where the mesh moves to follow the fluid–solid interface, meet that requirement. Moving-mesh methods have been practical in more classes of complex FSI and MBI problems than commonly thought of. With a number of complementary methods introduced recently, the ST methods can now do even more. We will discuss the basic concepts of the ST methods, including the stabilized formulations. We will briefly discuss different FSI coupling techniques and what classes problems each technique would be suitable for. Good moving-mesh methods require good mesh moving methods, and we will discuss some of those mesh moving methods. Most of the concepts covered in the course will be explained in the context of applications.

Enrichment Track Instructors

Dr. Na Lei
Dalian University of Technology, China

Title: Mesh Generation Based on Computational Conformal Geometry

Biography: Dr. Na Lei is currently a professor of DUT-RU International School of Information Science and Engineering in Dalian University of Technology, director of Institute of Geometric Computing and Inteligent Media Technology, affiliated professor of Beijing Advanced Innovation Center for Imaging Technology, Mathematical Review reviewer of American Mathematical Society, member of Technical Committee on Computer Vision of China Computer Federation, member of Technical Committee on Geometric Design and Computation of China Society for Industrial and Applied Mathematics, member of Technical Committee on Computer Mathematics of Chinese Mathematical Society. Dr. Na Lei got her Ph. D. from Jilin University in 2002. Then she spent one year in Institute for Computational Engineering and Sciences of University of Texas at Austin, working with Dr. Bajaj as a JTO research fellow, and another year in Computer Science Department of the State University of New York at Stony Brook, working with Dr. David Xianfeng Gu as a visiting professor. She is a reviewer for many distinguished journals, such as IEEE Transactions on Visualization and Computer Graphics, Computer Aided Geometric Design, Computer-Aided Design, Graphical Models, The Visual Computer, Journal of Computational and Applied Mathematics, Computer vision and pattern recognition and so on. She was also a PC member for many important international conferences, such as International Joint Conference of Artificial Intelligence, Geometric Modeling and Processing, Asian Conference on Design and Digital Engineering and so on.

Dr. Na Lei’s research interest is to deal with the practical problem in engineering and medical fields by applying the theory and methods of modern differential geometry and topology.

Abstract: Generating meshes with regular structure plays a fundamental role in isogeometric analysis. Regular hexahedral mesh generation is called the holy grid problem in computational mechanics. Intensive research efforts have been spent on it for tens of years. Although there are many heuristic methods in practice, the theoretic foundation still remains widely open. Recently, we have established a theoretic framework for quadrilateral mesh generation based on conformal geometry. Basically, we have discovered the intrinsic relation between quad-meshes and meromorphic differentials on Riemann surfaces. This framework is simple, elegant but powerful. It can answer many fundamental problems, that no other methods could shed a light. For examples, it can show the existence of quad-meshes with special properties, estimate the dimension of quad-meshes with constraints, specify the geometric relations among the singular vertices of quad-meshes. More importantly, it gives a simple algorithm for high quality quad-mesh generation based on Riemann-Roch and Abel-Jacobi theorems. Furthermore, the quad-meshes based on Strebel differential can leads to hexahedral mesh generation for volumes.

Dr. Suzanne Shontz
University of Kansas, USA

Title: Introduction to Moving Meshes

Biography: Suzanne Shontz is an Associate Professor of Electrical Engineering and Computer Science at the University of Kansas. She is also the Director of the Computational Bioengineering Track for the Bioengineering Graduate Program and is affiliated with the Information and Telecommunication Technology Center. Before joining the University of Kansas in 2014, Suzanne was on the faculty at Mississippi State and Pennsylvania State Universities. Previously, she was also a postdoc at the University of Minnesota and earned her Ph.D. from Cornell University in 2005. Suzanne’s research focuses centrally on parallel scientific computing, more specifically on the development of unstructured mesh and numerical optimization algorithms and their applications to computational medicine and aerospace engineering, among others. She has nearly 20 years of experience in unstructured mesh generation. Professor Shontz has received numerous awards for her research including the prestigious NSF Presidential Early CAREER Award (i.e., NSF PECASE Award) from President Obama for her research in computational- and data-enabled science and engineering and an NSF CAREER Award for her research on parallel dynamic meshing algorithms, theory, and software for simulation-assisted medical interventions. She has chaired or co-chaired several top conferences in computational science and engineering including the 2019 SIAM Computational Science and Engineering Conference and the 2019 International Meshing Roundtable.

Abstract: There are numerous scientific application problems for which either the domain of interest or the quantity being simulated moves as a function of time. For example, the heart beats while pumping blood throughout the human body. In this case, the mesh must be updated in order for it to accurately represent the cardiac geometry. This process of moving the mesh from a source domain to the target domain using interpolation or extrapolation is called mesh warping or mesh morphing.

Another application for which moving meshes are employed is that of crack propagation. When the crack initiates and then propagates throughout a material, the forces on various parts of the material change rapidly. In such a case, the mesh must be refined in places where the solution varies rapidly; it may be coarsened in areas where the solution is slowly varying. Moving mesh techniques are used to adapt the mesh according to this variation in the solution.

In this short course, we will first overview the basics of moving meshes. Next, we will cover several mesh warping algorithms followed by moving mesh algorithms employed for the purpose of adapting the mesh. Methods based on partial differential equations, numerical optimization, and geometry will be explored, as well as their underlying mathematics. Applications of moving meshes, such as those from medicine, computational fluid dynamics, and computer graphics will be explored. Finally, future research directions in moving meshes will be discussed.

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