visualization

Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan

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H2 B9

Abstract Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a con dent conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, the availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by big expansion in data and its

Interactive High-Quality Visualization of Large-Scale Particle Data

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B2 L5 R5209

Large-scale particle data sets, such as those computed in molecular dynamics (MD) simulations, are crucial to investigating important processes in physics and thermodynamics. The simulated atoms are usually visualized as hard spheres with Phong shading, where individual particles and their local density can be perceived well in close-up views. However, for large-scale simulations with 10 million particles or more, the visualization of large fields-of-view usually suffers from strong aliasing artifacts, because the mismatch between data size and output resolution leads to severe under-sampling of the geometry.

Point cloud and volume data reconstruction and visualization

Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia

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B1 L2

Abstract Our ongoing research on the reconstruction of aerial point cloud data includes reconstructing the parts of the data that are not captured by the airplane mounted LiDAR system due to the shadowing effect and lack of reflections. We are developing methods for reconstructing (1) building walls, (2) reconstruction of bridges and underlying terrain; (3) reconstruction of water surfaces of lakes and rivers, and (4) reconstruction of terrain overhangs. In all the cases we are merging the point cloud data with cadaster data or digital terrain model data for filling the gaps in the point cloud

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.

Visualization Methods for Graphs&Networks

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B9 L2 H2 H2

Inevitably, the projection of most graph structures on two-dimensional screens will create errors and therefore visually wrong impressions. In the past, two types of methods have been developed to minimize projection errors and distribute them in a visually pleasing way. The first group of methods, force-directed layouts, interpret the links of a graph as physical springs, while stress-based methods minimize an energy function, which aims to map graph distances faithfully.

A breeding ground for successful start-ups

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State-of-the-art facilities and world-class research projects give rise to thriving start-up companies based at KAUST.

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

The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019

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The NANOVIS team has won the 1st Place in Graph Drawing Contest 2019 under the category of "Creative Topic #2 Meal Ingredients" on their graph "Worldmap of Food". The contest took place in the 27th International Symposium on Graph Drawing and Network Visualization (GD'19) that was held from September 17 to 20, 2019 in Průhonice/Prague, Czechia. Check the full poster:

Three papers with contributions from the NANOVIS team will be presented at IEEE VIS

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Three papers with contributions from the NANOVIS team will be presented at IEEE VIS 2019 that will be held from 20 to 25 October 2019 in Vancouver, Canada. Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data ScaleTrotter: Illustrative Visual Travels across Negative Scales Data-aware Continuous Colormap Refinement for 2D Scalar Field Visualization IEEE VIS 2019 is the premier forum for advances in visualization for academia, government, and industry. This week-long event brings together researchers and practitioners with a shared interest in visualization.

KAUST Ph.D. student Jinhui Xiong wins best paper award

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KAUST computer science Ph.D. student Jinhui Xiong recently won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization. The symposium took place from September 30 to October 2, 2019, at the University of Rostock, Germany, and provided the opportunity for researchers to discuss a wide range of topics in computer science, including computer graphics, vision, visualization and visual analytics.

Thomas Hollt

Postdoctoral Research Fellow, High Performance Visualization Group
Thomas Hollt was a Postdoctoral Research Fellow at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Currently, he’s an Assistant Professor at Computational Biology Center in Leiden University Medical Center, The Netherlands. Education and Early Career Thomas joined KAUST as a Ph.D. student in Computer Science under the supervision of Professor Markus Hadwiger. After he graduated in 2013, he worked as a Postdoctoral Research Fellow in Visual Computing Center. Later on, he joined the Earth Fluid Modeling and Prediction Group at KAUST as a Research

Ronell Sicat

Research Scientist, Computer Science
Ronell Sicat is a Research Scientist in the High Performance Visualization Group working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). His research interests are in large-scale data visualization and analysis, immersive analytics, and computer graphics.

Mohamed Ibrahim

Postdoctoral Research Fellow, Computer Science
Mohamed Ibrahim is a Postdoctoral Research Fellow in High-Performance Visualization Group (VCCVIS) working with Prof. Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He earned his Bachelor’s degree in Computer Engineering from the American University in Cairo (AUC) in 2010. Later on, he obtained a Master’s degree in Computer Science from KAUST in 2012. He graduated from KAUST with a Ph.D. in Computer Science in 2019. Research Interest Mohamed Ibrahim's research is concerned with Large-Scale data visualization. He's especially interested

Michael Birsak

Research Scientist, Computer Science
Michael Birsak is a Research Scientist working with Professor Peter Wonka at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Matej Mlejnek

Research Scientist, Computer Science
Matej Mlejnek is a Research Scientist in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his bachelor degree in Automation and Control from Slovak University of Technology in Slovakia in1999. After that, he joined Vienna University of Technology in Austria and received both his master (2003) and doctoral (2006) degrees in Computer Science. Research Interest Matej is interested in scientific visualization. Selected Publications Matej Mlejnek has many

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.

Jens Schneider

Research Scientist, Computer Science
Jens Schneider was a Staff Scientist at the Visual Computing Center in King Abdullah University of Science and Technology (KAUST). Currently, he’s an Assistant Professor in College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar. Education and Early Career Jens Schneider received a diploma equivalent to Master degree in Computer Science from RWTH Aachen in Germany, 2004. He earned his Ph.D. in Computer Science from Technical University Munich, Germany, in 2009 Dr. Schneider joined KAUST in 2009 as a Postdoctoral Research Fellow. Later on, he was promoted to Research

Donggang Jia

Ph.D. Student, Computer Science
Donggang Jia is a Ph.D. student in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Donggang has a Master's Degree in Artificial Intelligence from the University of Southampton, United Kingdom. Before that, he received his Bachelor's degree in Computer Science at the Beijing University of Posts and Telecommunications, China. Research Interest Donggang is focusing on computer graphics and visualization

Dawar Khan

Postdoctoral Research Fellow, Computer Science
Dawar Khan has been working as a Postdoctoral researcher with Professor Ivan Viola in the Nanovisualization Research Group, at Visual Computing Center, KAUST - King Abdullah University of Science and Technology, Saudi Arabia, since April 2022. Previously he worked as assistant professor at Interactive Media Design Lab, Nara Institute of Science and Technology (NAIST), Japan and at the University of Haripur, Pakistan. Education and Early Career He received the BS and MS degrees in computer science from the University of Malakand, Pakistan, in 2011 and 2014, respectively, and the PhD degree in

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

Anna Fruehstueck

Anna Fruehstueck was a Ph. D. candidate under the supervision of Prof. Peter Wonka at King Abdullah University of Science and Technology (KAUST) and successfully defended her PhD in Computer Science on April 17, 2023. Education and Early Career Anna Fruehstueck obtained a Bachelor’s Degree in Media Informatics and Visual Computing from Vienna University of Technology in Austria in 2011. Later on in 2015, she received her M.Sc. degree in Visual Computing from Vienna University of Technology in Austria. During her studies, Anna worked as software developer at SimVis in Vienna, Austria. And in

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli is a Ph.D. student in the Computer Science program 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 Amani received her bachelor's degree in Computer Science from Umm Al-Qura University in Makkah, Saudi Arabia in 2016. She joined KAUST to continue her studies and earned a master's degree in Computer Science in 2019. Currently, she's working on directed research with Prof. Markus Hadwiger in the High-Performance Visualization Group. Research Interest Amani

Amal Aboulhassan

Amal Aboulhassan was a Ph.D. student in Computer Science under the supervision of Professor Markus Hadwiger at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). She is the founder of MaterialSolved startup located in Alexandria, Egypt. Education and Career Amad received her Master degree in Computer Graphics from Alexandria University, Egypt in 2005. She joined KAUST and earned her Ph.D. in Computer Science in 2017. She was a part of High Performance Visualization Research Group under the supervision of Professor Markus Hadwiger. Before joining

Alexandre A. Kouyoumdjian

Research Scientist, Computer Science
Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio. Education Profile Ph.D., Computer Science, Université Paris-Saclay,FRANCE, 2018 M.S., Computer Science (Bioinformatics and