Symposium on Geometry Processing 2022 [online] Graduate School 2-3 July, 2022 Main Conference 4-6 July, 2022 Program: https://sgp2022.github.io [1] Keynote Speakers: Angela Dai, Technical University of Munich Ligang Liu, University of Science and Technology of China Caitlin Mueller, MIT Daniele Panozzo, New York University The Eurographics Symposium on Geometry Processing (SGP) is the premier venue for disseminating new research ideas and cutting-edge results in Geometry Processing. In this research area, concepts from mathematics, computer science, and engineering are studied and applied to offer new insights and design efficient algorithms for acquisition, modeling, analysis, manipulation, simulation and other types of processing of 3D models and shape collections. As in past years, SGP also offers a weekend Graduate School, targeted at students and researchers new to the field. • The graduate school will feature a mix of live and pre-recorded lectures and demonstrations, each accompanied by live Q&A sessions. We will use Zoom webinar for the graduate school. • The main conference will comprise live keynote sessions, paper sessions including Q&A, an online social event, and a town hall meeting for the broad geometry processing community. We will use Zoom webinar for the sessions, and Discord for discussion and social breaks. Registration is free of charge, but necessary to receive access information. You can register here: https://sgp2022.github.io [1] (click “Register” in the menu) Technical Program Chairs: Marcel Campen · Osnabrück University Michela Spagnuolo · CNR Graduate School Chairs: Ruizhen Hu · Shenzhen University Teseo Schneider · University of Victoria Software & Dataset Awards Chair: Marc Alexa · Technische Universität Berlin SGP Steering Committee (and Conference Chairs): Leif Kobbelt · RWTH Aachen (Germany) [president] Marc Alexa · TU Berlin (Germany) Pierre Alliez · INRIA (France) Mirela Ben-Chen, Technion-IIT (Israel) Hui Huang, Shenzhen University (China) Niloy Mitra · UCL (UK) Daniele Panozzo · NYU (USA) Links: ------ [1] https://sgp2022.github.io/