Laurent Condat, a research scientist based in the KAUST Visual Computing Center, has recently been appointed as an Associate Editor of IEEE Transactions on Signal Processing (TSP). The peer-reviewed journal covers novel theory, algorithms, performance analyses, and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals.
KAUST Ph.D. student Dmitry Kovalev has been named one of nine recipients of the 2020 Ilya Segalovich Scientific Prize for Young Researchers. Awarded by the Russian multinational corporation Yandex, Dmitry received the accolade for his “significant advances in computer science.”

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.

Researchers from the KAUST High-Performance Visualization Group (VCCVIS) have won the IEEE Scientific Visualization (SciVis) 2020 Best Paper Award at the IEEE Visualization Conference (IEEE VIS) 2020. Held virtually from October 25-30, IEEE VIS 2020 brought together a host of researchers and practitioners from academia, government, and industry to discuss advances in theory, methods and visual analytics applications.
Bernard Ghanem, KAUST associate professor of electrical and computer engineering and computer science, recently received the 2020 Abdul Hameed Shoman Award for Arab Researchers for ''Machine Learning and Big Data.''
A KAUST-designed symbolic algorithm to solve nonlinear ordinary differential equations (ODEs) has been selected for inclusion in the current version of the computer algebra system (CAS) Maple 2020. The global symbolic and numeric computing software system—developed by the Canadian company Waterloo Maple (Maplesoft)—is widely used by scientists, engineers, and researchers to analyze, visualize, and solve mathematical problems.

Three papers presented at IEEE VIS 2020 authored by the Nanovisualization group at KAUST!
1. Our new 3D rapid modeling technique for creating mescoscale models, developed together with Scripps Research, Nanographics, and TU Wien,
Austria: 10.1109/TVCG.2020.3030415

The Nanovisualization group at KAUST has collaborated with AIT and TU Wien, Austria and Imperial College London, UK on the development of a new 3D visualization technique for In-Silico Design for DNA-Nanotechnology. This work is published in NAR:

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.