GAMES Webinar 2019 – 89期(物理模拟专题课程) | 任博(南开大学),杨垠(新墨西哥大学)

【GAMES Webinar 2019-89期】
报告嘉宾:任博,南开大学

报告时间:2019年4月4日 晚8:00-8:45(北京时间)
主持人:黄劲,浙江大学(个人主页:www.cad.zju.edu.cn/home/hj/index.xml
报告题目:A Brief Introduction to Fluid Simulation in Computer Graphics
报告摘要:

Physically-based simulation brings diversified visual effects and impressive interactive motions into the virtual world. In computer graphics, physically-based simulation is a major topic in top conferences and journals and in industry such as film industry, it is among the highest-level and most-costly visual effects that blockbusters present. This talk will introduce fundamental knowledge about physically-based simulation, and use fluid simulation to explain central topics such as Lagrangian and Eulerian discretization, integrator framework etc. The talk will also introduce several frontier topics in fluid simulation after the fundamental introductions.

讲者简介:

Bo Ren  received the PhD degree in computer science from Tsinghua University in 2015. He is currently a lecturer in the College of Computer and Control Engineering, Nankai University, Tianjin. His research interests include physically-based simulation and rendering, scene geometry reconstruction and analysis. His recent research focuses on multi-fluid and multi-phase simulations in computer graphics.

讲者个人主页:http://ren-bo.net

报告嘉宾:杨垠,新墨西哥大学

报告时间:2019年4月4日 晚8:45-9:30(北京时间)
主持人:黄劲,浙江大学(个人主页:www.cad.zju.edu.cn/home/hj/index.xml
报告题目:Efficient Simulation of 3D Elastic Solid and Its Applications

报告摘要:

Using the digital computer to simulate dynamic behavior of solid objects is an open problem in many scientific and engineering research: in computer animation, it provides realistic effects of soft characters; in surgical simulation, it delivers vivid visual experiences to the trainee; in digital fabrication, it couples geometry and structural analysis. However, simulating elastic solids with hundred thousands or even millions of degrees of freedom is challenging and computational intensive because one needs to solve a large number of mutually coupled unknowns. In this talk, I will share with some of our recent efforts dealing with this notorious computing challenge: 1) using reduced model, 2) domain decomposition, 3) GPU-based nonlinear solvers and 4) Neural Network and data driven. I will also show you how those algorithms can be integrated into various applications to push forward the boundary of future computing.

讲者简介:

Dr. Yin Yang is currently an Assistant Professor with the department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque. He received Ph.D. degree of Computer Science from The University of Texas, Dallas in 2013 (he was the awardee of David Daniel Fellowship Prize, 2013). He was a Research/Teaching Assistant at UT Dallas as well as UT Southwestern Medical Center. His research mainly focuses on real-time physics-based computer graphics, game, animation and visualization with a strong emphasis on inter- disciplinary research with bio/medical science. He was a Research Intern in Microsoft Research Asia during March to June in 2012. Dr. Yang has published over 50 conference/journal articles in areas of computer graphics, animation, computer aided design, and medical imaging. Dr. Yang received NSF CAREER award in 2019. He serves as the TPC member for many international conferences and the reviewer for almost all the top journals/conferences in computer graphics and animation.

讲者个人主页:http://www.unm.edu/~yangy/

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