{"id":90,"date":"2019-02-27T09:45:59","date_gmt":"2019-02-27T08:45:59","guid":{"rendered":"https:\/\/project.inria.fr\/spm2019\/?page_id=90"},"modified":"2019-05-07T20:14:23","modified_gmt":"2019-05-07T18:14:23","slug":"keynote-speakers","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/spm2019\/keynote-speakers\/","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"

<\/p>\n\n\n\n\n\n\n
Prof. Annalisa Buffa<\/span><\/a> <\/b>
\nChair of Numerical Modelling and Simulation
\nInstitute of Mathematics
\nEPFL
\nSwitzerlandBio<\/strong>: Annalisa Buffa got a degree in computer science in July 1996 and a PhD in mathematics in December 2000. She became researcher at the CNR institute IMATI in 2001, research director in 2004 (on leave since 2016), and she holds the chair on Numerical Modeling and Simulation at Ecole Polytehcnique F\u00e9d\u00e9rale de Lausanne since 2016.<\/span>
\nShe was awarded an ERC Starting grant in 2008 and an ERC Advanced grant in 2016. She is a member of Academia dei Lincei (corresponding) and of Academia Europea. She serves in several committees including the board of Directors of FoCM, the Scientific board of CNR (Diitet), and the structure committee for IMU 2022. She serves as editor for several journals in the field of numerical analysis.<\/span>
\nShe delivered several plenary lectures during the last years. Among others, she was invited speaker at AIMS (2018), ICIAM (2015), at ICM (Seoul, section 15) in 2014, at GAMM (2014), at MAFELAP (2013) and at ECCOMAS (2012 and 2017, semi plenary).<\/span><\/td>\n		\"\"<\/a><\/p>\n

Title<\/strong>: PDEs simulation tools on complex models: results and challenges<\/span><\/p>\n

Abstract<\/strong>: Inspired by the introduction of Volumetric Modeling via volumetric representations (V-reps) by Massarwi and Elber in 2016, we present a novel approach for the construction of numerical methods for PDEs on such geometric models that does not require any re-parametrisation, i.e., without any meshing involved. The stability of PDEs discretisations on such models is analysed and minimal stabilisation techniques are proposed. Our approach is very flexible, and applies to a large class of PDEs. We will show several convincing examples.<\/span><\/p>\n

Coauthors: P. Antolin, R. Puppi, R. Vazquez<\/span><\/td>\n<\/tr>\n

<\/td>\n<\/td>\n<\/tr>\n
Prof. Ligang Liu<\/span><\/span><\/span><\/span><\/b><\/a>
\nGraphics & Geometric Computing Laboratory
\nSchool of Mathematical Sciences
\nUniversity of Science and Technology of China
\nChina<\/td>\n		\"\"<\/a><\/td>\n<\/tr>\n
Bio<\/strong>. Ligang Liu is a professor at the School of Mathematical Sciences, University of Science and Technology of China. He received his B.Sc. (1996) and his Ph.D. (2001) from Zhejiang University, China. Between 2001 and 2004, he worked at Microsoft Research Asia. He paid an academic visit to Harvard University during 2009 and 2011. His research interests include digital geometric processing, computer graphics, and image processing. He serves as the associated editors for journals of IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Computer Aided Geometric Design, and Computer&Graphics. He served as the conference co-chair of GMP 2017 and the program co-chairs of GMP 2018, CAD\/Graphics 2017, CVM 2016, SGP 2015, and SPM 2014. His research works could be found at his research website: <\/span>http:\/\/staff.ustc.edu.cn\/~lgliu<\/span><\/a><\/td>\nTitle<\/strong>: Surface Parameterization and Atlas Refinement.<\/span><\/p>\n

Abstract<\/strong>: Surface parameterization is the computation of a foldover-free, low-distortion map from surface patches to 2D domain. Atlases are constructed by packing 2D parameterized charts into rectangular texture image domains. Both are fundamental problems in computer graphics and geometric processing and have been widely used in many applications, such as texture mapping, remeshing, intersurface mapping, and shape analysis. In this task, I will review on state-of-the-art works on both surface parameterization and texture atlas generation and introduce our recent works on these topics.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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 <\/p>","protected":false},"excerpt":{"rendered":"

Prof. Annalisa Buffa Chair of Numerical Modelling and Simulation Institute of Mathematics EPFL SwitzerlandBio: Annalisa Buffa got a degree in computer science in July 1996 and a PhD in mathematics in December 2000. She became researcher at the CNR institute IMATI in 2001, research director in 2004 (on leave since\u2026<\/p>\n

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