visual computing

KAUST Cell Visualization Summit 2019

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B9 H2 R2325

You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Optimal Reference Frames, Scaling and Features in Visualization

Prof. Holger Theisel, Visual Computing, Magdeburg University

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B9 L2 H1 R2322

In Visualization, the success or failure of an analysis often depends on the choice of some subtle parameters or design choices. While simple heuristics are often sufficient, in some cases they make the analysis miserably fail. We present three approaches in visualization where a careful choice of optimal parameters results in completely new algorithms: 1) the choice of a reference frame for finding objective vortices in flow visualization, 2) the choice of a scaling of high-dimensional data sets for finding linear projections to 2D in information visualization, and 3) the choice of a feature definition along with numerical extraction methods for visualizing recirculation phenomena in flows.

Enabling Accurate and Efficient Simulation in Visual Computing - Public Colloquium

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KAUST

The overarching goal of Prof. Michels' Computational Sciences Group within KAUST's Visual Computing Center is enabling accurate and efficient simulations for applications in Scientific and Visual Computing. Towards this goal, the group develops new principled computational methods based on solid theoretical foundations. This talk covers a selection of previous and current work presenting a broad spectrum of research highlights ranging from simulating stiff phenomena such as the dynamics of fibers and textiles, over liquids containing magnetic particles, to the development of complex ecosystems and weather phenomena. Moreover, connection points to the growing field of machine learning are addressed and an outlook is provided with respect to selected technology transfer activities.

Masterclass on Visual Computing

Dominik Michels, Helmut Pottmann, Ivan Viola, Peter Wonka, Soeren Pirk, Wolfgang Heidrich

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KAUST

Visual Computing has become a key enabling technology for a diverse set of applications spanning scientific discovery, digital services, medicine, robotics, consumer electronics, and entertainment, to name just a few. The research community tackles problems in this vast space by drawing from expertise in multiple disciplines, including Computer Science, Electrical Engineering, and Mathematics. The KAUST Masterclass on Visual Computing highlights a selection of cutting-edge academic research within this field by comprising a series of talks focusing on different topics ranging from Computational Architecture and Fabrication, Deep Optics, and Generative Modeling, to Nanovisualization, Physics-based simulation, and Representation Learning.

Workshop on Applied Geometry and Visual Computing

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B4 L5 R5209

The “KAUST Workshop on Applied Geometry and Visual Computing” brings together leading scientists from Europe and the United States, presenting their latest results in - Applied and Discrete Differential Geometry - Geometry Processing - Computational Fabrication The talks are related to various problems in Applied Mathematics in general and to further areas of Visual Computing such as Computer Graphics, Physical Simulation and Scientific Visualization. The workshop provides a great opportunity to learn about latest developments and to discuss ongoing work with top researchers in the field.

Physics-based Simulation in Visual Computing

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B9 L2 H2 H2

This talk covers a selection of previous and current work presenting a broad spectrum of research highlights ranging from simulating stiff phenomena such as the dynamics of fibers and textiles, over liquids containing magnetic particles, to the development of complex ecosystems and weather phenomena. Moreover, connection points to the growing field of machine learning are addressed and an outlook is provided with respect to selected technology transfer activities.

Peter Wonka's new query tool, called a relation-augmented image descriptor will change forever querying images online.

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Today, querying the massive amounts of images available in online databases such as Instagram can be a time-consuming experience. Researchers from the King Abdullah University of Science and Technology (KAUST) and the University College London, have developed a new tool that generates image queries based on a geometric description of objects in spatial relationships with potential applications in computer graphics, computer vision and automated object classification.

Visualization helps science to see the unexpected

1 min read ·
Advances in how science is presented means that visual tools can inspire research, as well as make its results accessible to the world.

Dominik L. Michels receives the first Procter & Gamble Faculty Award

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Dominik L. Michels, Computer Science and Mathematics faculty in the Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) and head of the Computational Sciences Group within the Visual Computing Center (VCC), recently received the first Procter & Gamble (P&G) Faculty Award.

Polymers offer a better view

1 min read ·
A window opens for analyzing the distribution of small molecules in biological and medical tissue samples.

Teaching algorithms to see

1 min read ·
Four hundred hours of video are uploaded to YouTube every minute. Other than using text to search the title, description or tags associated with a video, video content search is limited. In addition to helping users find content more quickly and accurately, the ability to search video content is of paramount importance to video platforms and advertisers. Last year, YouTube was embroiled in controversy after rolling video ads for Coca-Cola and Amazon, among others, were shown before racist and extremist content. Advertising content is a major revenue stream for video platforms like YouTube

Nanovisualization Research Group is hiring

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Nanovisualization Research Group is hiring scientific staff on the levels of Research Scientist, Postdoctoral Fellow, and Graduate Student. Follow the links to apply for the respective position: Research Scientist position Postdoctoral Fellow Graduate Student

Scanning in the Fourth Dimension

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Three-dimensional (3D) computed tomography is a widely used technology that visualizes an object's external and internal structure by assembling a series of two-dimensional images taken sequentially across or around it. However, as anyone who has had a medical magnetic resonance imaging scan will recall, this type of 3D reconstruction requires the subject to be motionless throughout the capture process, which can take minutes. Capturing a 3D structure that changes or deforms over time is much more difficult, and existing approaches often yield reconstructions marred by image artifacts and

Professor Ivan Viola Joins the Visual Computing Center

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We are proudly announcing that Professor Ivan Viola has joined VCC as an Associate Professor of Computer Science in November, 2018. He is establishing the Nano-visualization Research Group as a part of the Visual Computing Center. Prof. Viola has a master and Ph.D. from TU Wien in Austria. He has received a series of honors and recognition for his contribution to computing visualization such as the Austrian Computer Graphics Award 2016 for the Best Technical Solution, and the 1st Place Eurographics Dirk Bartz Prize for Visual Computing in Medicine 2013. Prof. Viola was attracted to KAUST for

Mastering a prickly problem in ferrofluids

1 min read ·
Computer simulation accurately captures the beguiling motion of a liquid magnetic material.

Testing the blind spots in artificial intelligence

1 min read ·
Understanding the situations when artificial intelligence can fail is critical for application of future autonomous vehicles and medical diagnostics.

Making the invisible, visible

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As bioscience and medicine progress, we are now able to live with diseases, which were once a death sentence. And we are rapidly discovering new interactions at the microscopic level that give us insight into the engines of life. However, as research gets more complicated, the layperson gets left further and further behind. Even those who trust the work of scientists can feel overwhelmed when attempting to read the latest research.

Peering under the hood of SARS-CoV-Two

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Microscope and protein data are incorporated into an easy-to-use-and-update tool that can model an organism’s 3D appearance.

Ferrofluid surface simulations go more than skin deep

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Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid’s surface.

First 3D Visualizations of SARS-CoV-2 Cryo-EM Tomography Data

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Together with our partners from Tsinghua University and Nanographics, our group has succeeded in depicting the first 3D visualizations of Cryo-EM microscopy tomography directly from the data. We are advancing the technology to allow for clear, noise-free visualization of this challenging data modality. Once we succeed with that our next challenge is to integrate such 3D visualization into the structural modeling process. Stay tuned!

Cloud simulations get a dose of realism

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A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds.

Wildfire simulation heats up

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Computational models capture the capricious behavior of forest fires.

Harnessing the particle-tracking power of the algorithm

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A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow.

Dominik L. Michels appointed Associate Professor of Computer Science and Applied Mathematics

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KAUST faculty member Dominik L. Michels has recently been promoted to associate professor of computer science and applied mathematics.

Computer learns to write captions with feeling

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Mohamed Elhoseiny and his PhD student Youssef Mohamed are teaching AI to capture the full spectrum of human emotions when annotating artwork in order to reduce emotional bias in computer-generated captions.

Yuchen Li

Ph.D. Student, Computer Science
Yuchen Li is a PhD Student under the supervision of Professor Mohamed Elhoseiny in Vision-CAIR Group at Visual Computing Center at King Abdullah University of Science and Technology (KAUST). Education and Early Career Before joining KAUST, Yuchen was a research intern at iFLYTEK, an intelligent speech and artificial intelligence company in Hefei, China, for three months. He was a Rocket MQ open source contributor and Alibaba summer of code student developer with rich research and engineering experience. He visited NUS, UBC, THU, and other prestigious universities for academic exchanges with a

Markus Hadwiger

Professor, Computer Science
Markus Hadwiger is a Professor of Computer Science at the King Abdullah University of Science and Technology (KAUST). A founding member of the University, he conducts fundamental and applied research in scientific visualization and visual computing.

Jorge Alejandro Amador Herrera

Research Interest His research interests include scientific and visual computing, numerical simulations, machine learning, and the modelling of natural phenomena. He works on physically-based simulations. Honors and Awards During his studies at UNAM, Alejandro has been awarded many times. In 2013, he received the UNAM Scholarship from the university. He was also awarded the Telmex Foundation Scholarship from 2013 to 2016, and the CONACYT Fellowship from 2017 to 2018. He graduated with summa cum laude in 2018. Alejandro has also received multiple awards from his participation in academic

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.

Hisham Alhussain

Hisham Alhussain is a Computer Science Master Student under the supervision of Professor Markus Hadwiger at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Hisham received his bachelor's degree in Computer Science from the University of Massachusetts at Amherst in 2018. He is also a Software Developer at IBM. Research Interest He's currently focusing on Scientific Visualization and Visual Computing. He is proficient in Python, Java, and has professional experience in React/React-Native and mobile and web development

Dominik L. Michels

Associate Professor, Computer Science
Professor Michels is a leading computer scientist who proactively designs strategies to face upcoming digitization challenges. His outstanding research has been recognized by the scientific community within and beyond KAUST.

Dmitry Lyakhov

Dmitry Lyakhov is a Research Scientist at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), working with Professor Dominik Michels in the Computational Sciences Group (CSG). Education and Early Career Dmitry Lyakhov graduated from Belarusian State University with a master's degree in Theoretical Physics and, later on, a Ph.D. in Mathematics. He is also an alumnus of the National Academy of Sciences of Belarus and visiting scholar of von Karman Institute for Fluid Dynamics. In 2018, he received a Nanodegree in Machine Learning. Before joining KAUST

Cristhopper Armenta

Originally from Mexico, Cristhopper is a computing professional who has a keen interest in mobile platforms like iOS, Android and Windows Phone. His specialties and interests range from visual computing (visualization), computer graphics, mobile technology development and technology business development. After some contractor work with two companies in Mexico and the US, he now works for IBM in the US. ''I worked as a subcontractor for IBM and got to meet some of the key people for the project who really liked my work and ended up offering me a full-time position,'' he told us. How was life at