KAUST VCCVIS researchers win IEEE Scientific Visualization (SciVis) 2020 Best Paper Award 1 min read · Sun, Dec 6 2020 News IEEE SciVis award 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.
Professor Ghanem wins 2020 Abdul Hameed Shoman Award for Arab Researchers 1 min read · Wed, Dec 2 2020 Awards Spotlight News machine learning big data 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.''
KAUST startup aims to disrupt last-mile delivery 1 min read · Mon, Nov 30 2020 News As e-commerce continues to spike worldwide, especially with the pandemic, the number of parcels delivered each day has dramatically increased. Customer expectations for speedy fulfillment have also been rising, however, leaving companies to grapple with multiple, last-mile delivery challenges.
An algorithm for success: KAUST-designed differential equation-solving algorithm included in Maple 2020 1 min read · Tue, Nov 17 2020 News algorithm nonlinear ordinary differential equations Symbolic Computation 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.
Talented KAUST Ph.D. student aims to revolutionize healthcare with machine learning 1 min read · Tue, Nov 10 2020 News machine learning healthcare bioinformatics KAUST Ph.D. student, Yu Li, is a talented young computer scientist with an interest in developing novel computational methods and algorithms to solve and understand the principles behind the “bio-world.”
Keep the data coming 1 min read · Mon, Nov 9 2020 News big data extreme computing applied mathematics computational science A continuous data supply ensures data-intensive simulations can run at maximum speed.
Peering under the hood of SARS-CoV-Two 1 min read · Sun, Nov 8 2020 News visual computing Computer science COVID-19 Microscope and protein data are incorporated into an easy-to-use-and-update tool that can model an organism’s 3D appearance.
KAUST team wins NEOM AI Challenge 1 min read · Mon, Oct 26 2020 News In June this year, KAUST students were invited to Dream up ideas and Imagine new solutions for solving challenges in NEOM using AI Models. This was organized by a Saudi national competition for all universities in the Kingdom. 100+ projects were submitted to the organizing committee (https://neomchallenge.com/en).
Three papers presented at IEEE VIS 2020 authored by the Nanovisualization group at KAUST 1 min read · Thu, Oct 22 2020 News 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 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9224865 2. Privacy-preserving volume rendering technique developed in collaboration with TU Wien, Austria and Western Norway University of Applied Sciences: 10.1109/TVCG.2020.3030436 https://ieeexplore.ieee.org/document/9222562/ 3. Invited TVCG paper developed in collaboration
The development of a new 3D visualization technique for In-Silico Design for DNA-Nanotechnology 1 min read · Thu, Oct 22 2020 News 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: https://doi.org/10.1093/nar/gkaa593. For more information see the publication page at nanovis.org
Dr. Ciril Bohak Joins the Visual Computing Center 1 min read · Mon, Oct 12 2020 News computer graphics data visualisation 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
Prof. Ivan Viola acts as Eurographics 2021 Full Papers Chair 1 min read · Mon, Oct 12 2020 News Prof. Ivan Viola will act as the Eurographics 2021 Full Papers Chair in the upcoming 42nd Annual Conference of the European Association for Computer Graphics - Eurographics 2021 - that will take place on May 3 − 7, 2021. Eurographics 2021 is a unique platform for the computer graphics community to showcase the latest techniques and educational work, and to explore new trends and ideas. The Eurographics 2021 Full Papers Program will showcase innovative research in Computer Graphics and related areas. Participants have been invited to submit new ideas and encouraged in all forms of research
KAUST Ph.D. graduate wins best paper award at prestigious Euro-Par 2020 1 min read · Sun, Sep 20 2020 News Spotlight euro-par conference KAUST Ph.D. graduate, Dr Tariq Alturkestani, won the best paper award at the prestigious annual international conference Euro-Par 2020. The paper was selected out of 158 papers that were submitted by candidates from all over the world.
Professor Knio named Interim Dean of the KAUST CEMSE Division 1 min read · Mon, Sep 14 2020 News Omar Knio, KAUST professor of applied mathematics and computational science, has assumed the role of Interim Dean of the Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division. Professor Knio succeeds former CEMSE Dean Professor Mootaz Elnozahy, who will now assume the role of Special Advisor to the KAUST President in the areas of open online learning and cybersecurity.
Meet KAUST student: Konstantin Burlachenko 1 min read · Wed, Sep 9 2020 News machine learning artificial intelligence Konstantin Burlachenko holds a master’s degree in computer science from Bauman Moscow State Technical University (BMSTU), Russia. After graduating from BMSTU, he worked in several prominent Moscow companies, such as Huawei, NVIDIA, and Yandex. He joined KAUST in August 2020 as a Ph.D. candidate and member of Professor Peter Richtarik's Optimization and Machine Learning Lab.
Meet KAUST prospective student: Feng Liang 1 min read · Mon, Sep 7 2020 News artificial intelligence computer graphics Feng Liang is a computer science and engineering graduate who will join KAUST from the Southern University of Science and Technology (SUSTech), China. Feng will join the University this fall as a M.S. candidate and member of the KAUST Nanovisualization Research Group under the supervision of Professor Ivan Viola.
Turning your desktop to a Supercomputer with ExaGeoStatR 1 min read · Mon, Sep 7 2020 News Maximum Likelihood HPC Environmental Statistics Turning your desktop to a Supercomputer with ExaGeoStatR Download at https://github.com/ecrc/exageostatR. Remember the old times where you had to leave your R simulations running for the whole night on your desktop due to a large climate/weather dataset? ExaGeoStatR combines the user productivity of R with high performance computing linear algebra software libraries to deliver supercomputing-style environment right below your desk. ExaGeoStatR enables computing the maximum likelihood using large environmental datasets on R, while extracting performance from the underlying hardware resources
Meet KAUST prospective student: Kilichbek Haydarov 1 min read · Sun, Sep 6 2020 News Computer Vision Kilichbek Haydarov is a graduate student who will join KAUST from Uzbekistan. He will join KAUST as a M.S./Ph.D. candidate and member of the KAUST Computer Vision, Content AI research group under the supervision of Professor Mohamed Elhoseiny. Kilichbek obtained his bachelor's degree in computer science and engineering from Sejong University, South Korea.
Meet KAUST prospective student: Reem Alghamdi 1 min read · Mon, Aug 31 2020 News machine learning Reem Alghamdi is a computer science graduate from Princess Nourah bint Abdulrahman University, Saudi Arabia. Reem will join KAUST this fall as a M.S. candidate under the supervision of Professor Peter Richtarik.
Meet KAUST prospective student: Kai Yi 1 min read · Thu, Aug 27 2020 News Computer Vision machine learning Kai Yi is a graduate from Xi'an Jiaotong University (XJTU), China, who will join KAUST in the fall of 2020. Kai will join KAUST as a M.S./Ph.D. candidate and member of the KAUST Computer Vision, Content AI research group under the supervision of Professor Mohamed Elhoseiny. KAUST's high reputation and Kai's interest in computer vision and machine learning prompted him to choose the University to further his academic career.
Meet KAUST prospective student: Xiaopeng Xu 1 min read · Wed, Aug 26 2020 News Computational biology artificial intelligence Xiaopeng Xu is a computer science graduate who will join KAUST in the fall of 2020. Xu obtained a master’s degree in computer science from KAUST, and a bachelor’s degree in bioinformatics from Huazhong University of Science and Technology, respectively. He will join KAUST in the fall of 2020 as a Ph.D. candidate and a member of the KAUST Structural and Functional Bioinformatics group under the supervision of Professor Xin Gao.
Computers excel in chemistry class 1 min read · Mon, Aug 24 2020 News Computer science combustion machine learning Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity.
KAUST-Stanford neural network paper accepted for presentation at ECCV 2020 1 min read · Sun, Aug 23 2020 News artificial intelligence Computer Vision A novel KAUST-Stanford University research paper by Panos Achlioptas (Stanford), Ahmed Abdelreheem (KAUST), Fei Xia (Stanford), Mohamed Elhoseiny (KAUST) and Leonidas Guibas (Stanford) was accepted for presentation at the 16th European Conference on Computer Vision (ECCV 2020).
Meet KAUST prospective student: Zhenwen Liang 1 min read · Thu, Aug 20 2020 News artificial intelligence machine learning Zhenwen Liang, 22, is a computer science graduate from the University of Electronic Science and Technology of China (UESTC), China. Zhenwen will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
KAUST prospective student: Xingdi Zhang 1 min read · Tue, Aug 18 2020 News parallel computing Computer Vision Xingdi Zhang is a computer science graduate from the University of Electronic Science and Technology of China (UESTC), China. Xingdi will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the KAUST High-Performance Visualization Group under the supervision of Professor Markus Hadwiger.
Former KAUST VSRP student wins Best Talk Award at ISMB 2020 1 min read · Tue, Aug 18 2020 News bio-ontology ISCB ISMB genome artificial intelligence Runar Reve, a former KAUST Visiting Student Research Program (VSRP) student, recently received the International Society for Computational Biology’s (ISCB) Bio-Ontologies COSI – Best Talk Award at the 28th Conference on Intelligent Systems for Molecular Biology (ISMB) 2020.
KAUST prospective student: Xiaochuan Gou 1 min read · Tue, Aug 11 2020 News data mining machine learning Xiaochuan Gou, 27, from Dalian, China, will join KAUST in the fall of 2020. He will join KAUST as a Ph.D. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
Meet KAUST Prospective Student: Igor Sokolov 1 min read · Sun, Aug 9 2020 News machine learning optimization Igor Sokolov, 23, is an applied mathematics and physics graduate who will join KAUST from the Moscow Institute of Physics and Technology, Russia. Igor first came to KAUST as a visiting student in 2019 and was highly impressed by the University's living and working facilities. It was this first impression that prompted him to pursue an M.S. at KAUST. Sokolov will join KAUST in the Fall of 2020 as an M.S. candidate under the supervision of Professor Peter Richtarik.
How AI helps improve COVID-19 testing 1 min read · Tue, Jul 28 2020 News COVID-19 artificial intelligence Following a call by President Tony Chan for KAUST PIs to contribute through their research capabilities to alleviate the COVID-19 pandemic, efforts coordinated by Donal Bradley, KAUST vice president for research, and Pierre Magistretti, KAUST dean of the Biological and Environmental Science and Engineering division, mobilized a group of faculty to form the Rapid Research Response Team (R3T).
Studying COVID-19’s envelope protein 1 min read · Tue, Jul 28 2020 News COVID-19 human health genomics A likeness between genes of the SARS and COVID-19 viruses could inform research into potential treatments.
Meet KAUST Prospective Student: Asaad AlGhamdi 1 min read · Tue, Jul 21 2020 News Natural Language Processing IoT Asaad AlGhamdi is a 24-year-old graduate who will join KAUST in the fall from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Asaad will join the University as a M.S. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
Researchers use lasers to bring the Internet under the sea 1 min read · Wed, Jul 15 2020 News research Communicating underwater has always been a hassle. Radio transmissions, the ubiquitous wireless standard above the waves, can't transmit very far before being entirely absorbed by the water. Acoustic transmissions (think sonar) are the preferred choice underwater, but they suffer from very low data rates. Wouldn't it be nice if we could all just have Wi-Fi underwater instead?
Keyes and colleagues take part in historic ISC 1 min read · Tue, Jul 14 2020 News International Supercomputing Conference KAUST Professor David Keyes, director of the KAUST Extreme Computing Research Center (ECRC) and professor of applied mathematics and computational science, chaired this year's International Supercomputing Conference (ISC). The ISC, which takes place in Frankfurt, Germany every June, is where the world's supercomputers are re-ranked for computational power, power efficiency, and performance on various scientific benchmarks.
Making the invisible, visible 1 min read · Fri, Jul 10 2020 News visual computing multi-scale 3D visualization SARS-CoV-2 visualization COVID-19 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.
Meet KAUST Prospective Student: Xinge Yang 1 min read · Thu, Jul 9 2020 News machine learning Computer Vision IoT Xinge Yang is a 22-year-old graduate who will join KAUST from the University of Science and Technology of China (USTC). Yang will join the University in the fall of 2020 as an M.S./Ph.D. candidate in the KAUST Computational Imaging Group under the supervision of Professor Wolfgang Heidrich.
PhD Defense of Tariq AlTurkestani 1 min read · Sun, Jul 5 2020 News PhD Defense HPC scientific computing parallel simulations Parallel and Distributed Computing Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems PhD Dissertation Defense by Tariq Alturkestani PhD Student, Computer Science Thursday, July 9, 16:00 - 17:00, https://kaust.zoom.us/j/94054511362 Contact Person: Tariq Alturkestani The execution rate of floating-point operations has typically increased by an order of magnitude every four years during the last 30 years of modern comput ing. This exponential growth in terms of computational power has benefited from the hardware technology scaling. However, memory and storage systems have not maintained
KAUST Prospective Student: Siyuan Chen 1 min read · Thu, Jul 2 2020 News artificial intelligence IoT Siyuan Chen is a 22-year-old graduate who comes to KAUST from the School of Communication and Information Engineering, UESTC, China. Chen will join the University in the fall of 2020 as an M.S./Ph.D. candidate in the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.
Robert Hoehndorf promoted to associate professor at KAUST 1 min read · Wed, Jul 1 2020 News bioinformatics biomedical data artificial intelligence KAUST faculty member Robert Hoehndorf was recently promoted from the rank of assistant professor to associate professor. Hoehndorf’s promotion caps a year-long process where the German researcher’s scientific and scholarly output was measured and evaluated by internal and external reviews.
Meet KAUST prospective student: Juexiao Zhou 1 min read · Mon, Jun 29 2020 News protein function Medical imaging Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.
KAUST scientists win prestigious Gauss Award for supercomputing excellence 1 min read · Fri, Jun 26 2020 News HPC supercomputing numerical linear algebra parallel computing KAUST Ph.D. graduate Dr. Noha Al-Harthi and doctoral student Rabab Alomairy, have won the German Gauss Center for Supercomputing (GCS) Award for original research that best advances high-performance computing. This makes KAUST the first Middle Eastern institution to receive this prestigious award.
KAUST Prospective student: Fernando Patricio Zhapa Camacho 1 min read · Thu, Jun 25 2020 News Natural Language Processing Fernando is a 23-year-old Information Technology graduate fromYachay Tech University in Urcuquí, Ecuador. He has planned to continue his academic career at KAUST under the supervision of Professor Robert Hoehndorf.
Meet KAUST prospective student: Matheus Vinícius Medeiros de Souza 1 min read · Wed, Jun 24 2020 News Computer Vision machine learning Matheus Vinícius Medeiros de Souza is a 24-year-old electrical engineering graduate from the city of Natal, Brazil. Matheus first came to KAUST as a visiting student in 2019 and was instantly impressed by the university’s research facilities.
Angling for underwater WiFi 1 min read · Wed, Jun 10 2020 News communications Computer science Scuba divers could send sea life shots in real time using an aquatic internet service.
AI that's built to save lives 1 min read · Tue, Jun 9 2020 Spotlight News artificial intelligence COVID-19 Associate Professor Xin Gao and his group have developed an artificial-intelligence (AI) based solution to help increase COVID-19 testing accuracy. Identifying cases of early stage infection has been particularly challenging for frontline clinicians. Gao's AI-based model, which aims to increase accuracy, has been put to immediate use at King Faisal Specialist Hospital (KFSH) in Riyadh.
Tracking the Curve: Analyzing the Emotional Response to COVID-19 1 min read · Tue, Jun 2 2020 Spotlight News Artificial Neural Network epidemiology artificial intelligence machine learning Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.
Training agents to walk with purpose 1 min read · Sun, May 31 2020 News statistics big data Computer science By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.
6G: The time is now! 1 min read · Sun, May 17 2020 News wireless telecommunication technology 6G While 5G companies and opponents are competing over the deployment of the first 5G platforms, the next generation of wireless telecommunication technology is being concocted right now in laboratories all around the world.
Shaheen II open to serve COVID-19 research around the Kingdom 1 min read · Sun, May 10 2020 News supercomputing The COVID-19 pandemic has imposed challenges across the globe that need to be solved using scientific discovery and innovation. In line with that, the KAUST Supercomputing Core Laboratory (KSL) has opened a call for proposals that require its supercomputer Shaheen II, as well as other cluster computing resources, to support research projects.
KAUST CS student recognized with AAAI Outstanding Program Committee Award 1 min read · Sun, May 3 2020 News artificial intelligence Konstantin Mishchenko, a Ph.D. student under the supervision of Professor Peter Richtárik, has been selected as one of the Association for the Advancement of Artificial Intelligence’s (AAAI) 12 Outstanding Program Committee Members for 2020. Mishchenko was presented with a certificate in recognition of his outstanding service at AAAI-20 held in New York from February 7-12.
Peeling back the layers of deep machine learning 1 min read · Fri, Apr 17 2020 News machine learning artificial intelligence Computer science A layer-based approach raises the efficiency of training artificial intelligence models.
