Vorträge und Präsentationen am Institut für Informatik

 

Date:  Monday, 28th of May, 2-3pm
Place: Seminar room 1, ground floor, ICT building

The research group „Interactive Graphics and Simulation“ would like to invite you to the talk of

Matthias Müller

Topic: Position Based Dynamics:
A Fast and Robust Simulation Method for Games and Robot Learning
 

Abstract 

The physically based simulation of mechanical effects has been an important research topic in computer graphics for more than two decades. Classical methods in this field discretize Newton’s second law and determine different forces to simulate various effects like stretching, shearing, and bending of deformable bodies or pressure and viscosity of fluids, to mention just a few. Given these forces, velocities and finally positions are determined by a numerical integration of the resulting accelerations.

In the last years position based simulation methods have become popular in the graphics community. In contrast to classical simulation approaches these methods compute the position changes in each simulation step directly, based on the solution of a non-linear, quasi-static problem. Position-based approaches are fast, stable and controllable which make them well-suited for use in interactive environments such as computer games. A more recent application is the training of robots on hundreds of virtual copies simultaneously.

In this talk I will first introduce the basic concept of position based dynamics and show the connection to existing integration methods. I will then discuss how position based methods are applied to simulate cloth, ropes, volumetric deformable bodies, rigid body systems and fluids. Finally I will talk about our publicly available position based solver FLEX and recent FLEX-related projects.

CV 

Matthias Müller received his PhD in atomistic simulation of dense polymer systems in 1999 from ETH Zürich. During his post-doc with the MIT Computer Graphics Group (1999-2001), he changed fields to macroscopic physically based simulations. He has published papers on particle-based water simulation and visualization, finite element-based soft bodies, cloth simulation, and fracture simulation. The main focus of his research are unconditionally stable, fast and controllable simulation techniques for the use in computer games. Most relevant to this talk, he is one of the founders of the field of position based simulation methods. In 2002, he co-founded the ETH-spin-off company NovodeX developing a physics library for games. The company was acquired in 2004 by AGEIA and in 2008 by nvidia. He is currently the head of the physics research team at NVIDIA.

 

Date:  Tuesday, 12th of December, 1pm
Place: 3W04, 2nd floor, ICT building

The research group „Semantic Technology Innsbruck“ would like to invite you to the talk of

Prof. Elena Simperl

Topic: Quality and collaboration in Wikidata 

Abstract 

Wikidata is a collaboratively edited knowledge graph. It expresses knowledge in the form of subject-property-value statements accompanied by provenance information.  A project of the Wikimedia Foundation, Wikidata has attracted a community of around 100 thousand registered contributors, who have edited more than 24 million entities since the start of the project in 2012. In this talk, we are going to present several studies into the socio-technical fabric of Wikidata, in which we analyse its quality and the collaboration processes that influence it.

CV 

Elena Simperl is Professor of computer science at the University of Southampton and member of its Web Science Institute. Before joining Southampton in 2012, she was assistant professor at the Karlsruhe Institute of Technology (KIT), Germany (2010-12) and vice-director of the Semantic Technologies Institute (STI) Innsbruck, Austria (2007-10). She has contributed to more than 20 research projects, 13 times as principal investigator or project lead. Currently she is the PI of H2020 Open Data Incubator for Europe (ODINE) and H2020 Data Pitch, which support SMEs to innovate with data. She is also PI on H2020 QROWD, which uses crowd and artificial intelligence to improve smart transportation systems. She authored more than 100 papers in semantic technologies, linked data, social computing, crowdsourcing and was programme/general chair of the European and International Semantic Web Conference and of the European Data Forum.