data visualisation

Keynote Speaker | The 8th BEAR PGR Conference & Users Forum 2018

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The University of Birmingham in the United Kingdom

Abstract KAUST Assistant Professor Robert Hoehndorf will be a keynote speaker at the 8th BEAR PGR Conference & Users Forum​ at the University of Birmingham in the United Kingdom. This event focuses on, but not limited to, computational analysis and numerical modeling the conference will cater to researchers of all schools interested in BEAR facilities. Such as the use of the high-performance computing (HPC) system, BlueBEAR, cloud storage or data visualization.​

Task-driven Automated Data Visualization

Dr. Yunhai Wang, Professor, Computer Science, Shandong University, China

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B9 L2 H2 R2325

Abstract By providing visual representations of data, visualization can help people to carry out many data analysis tasks more effectively. Given a data set, however, there are often too many possible visualization techniques, with each technique having many parameters to be tuned. This arises the question is if it is possible to automatically design a visualization that is best suited to pursue a given task on given input data. With my group, I developed a number of techniques to achieve this goal for different data sets such as time-series data, high-dimensional data, text as well as graphs

Large-Scale Visualization of Scientific Data

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KAUST

"A picture is worth a thousand words", and by going beyond static images, interactive visualization has become crucial to exploring, analyzing, and understanding large-scale scientific data. This is true for many areas of science and engineering, such as high-resolution imaging in neuroscience or materials science, as well as in large-scale fluid simulations of the Earth’s atmosphere and oceans, or of trillion-cell oil reservoirs. However, the fact that the amount of data in data-driven sciences is increasing rapidly toward the petascale, and further, presents a tremendous challenge to interactive visualization and analysis. Nowadays, an important enabler of interactivity is often the parallel processing power of GPUs, which, however, requires well-designed customized data structures and algorithms. Furthermore, scientific data sets do not only get larger, they also get more and more complex, and thus have become very hard to interpret and analyze. In this talk, I will give an overview of the research of my group in large-scale scientific visualization, from data structures and algorithms that enable petascale visualization on GPUs, to novel visual abstractions for interactive analysis of highly complex structures in neuroscience, to novel mathematical techniques that leverage differential geometric methods for the detection and visualization of features in large, complex fluid dynamics data on curved surfaces such as the Earth.

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

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B9 L2 R2322 H1

In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Dr. Ciril Bohak Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Dr. Ciril Bohak has joined VCC as a Postdoctoral researcher of Computer Science in October, 2020. Ciril Bohak is a Postdoctoral Researcher and Teaching Assistant in the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His main research interests are Computer Graphics, Data Visualization, and Game Technology. His current research includes real-time medical and biological volumetric data visualization on the web, visualization of geodetic data (LiDAR and orthophoto) and high-energy

Juris Grigs

Ph.D. Student, Computer Science
Juris Grigs is a Computer Science Ph.D. student in the KAUST High-Performance Visualization Group (VCCVis) under the supervision of Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career Juris obtained his bachelor's degree in ​Physics from the University of Latvia in 2017. He joined KAUST as an Electrical Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group. Now,he is a Ph.D. student in the VCCVis Research Group. Research Interests Juris's research interests include ​data

Ciril Bohak

Research Scientist, Computer Science
Ciril Bohak was a Research Scientist in the NANOVIS Group, working with Professor Ivan Viola at King Abdullah University of Science and Technology (KAUST). He was a member of the Nanovisualization Research Group and works on development of novel rendering and visualization methods for visualizing data at the nano scale. Education and Early Career Ciril obtained his B.Sc., M.Sc. and Ph.D. in Computer Science from University of Ljubljana. He started his career as researcher in Laboratory for Computer Graphics and Multimedia researching in fields Music Information Retrieval, Computer Graphics and