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.
Using AI to understand the pathogenesis of COVID-19 1 min read · Sun, Apr 12 2020 News The ongoing COVID-19 pandemic has revealed itself to the world as an unprecedented viral threat with a crippling power to disrupt society as we know it.
Flattening the sentimental curve 1 min read · Sun, Apr 12 2020 News machine learning artificial intelligence -By Meres J. Weche, KAUST News As municipal, regional and national governments have mandated longer and more restrictive isolation time periods to slow down the spread of the COVID-19 pandemic and "flatten the curve," KAUST Associate Professor of Computer Science Xiangliang Zhang works on flattening the "emotional curve." Zhang's research focuses on developing reliable algorithms to analyze complex data sets through machine learning and artificial intelligence. Her research group specifically uses computer models to analyze social media posts on Twitter to study people's interests. When the
Unlocking coronavirus' secrets through cellphone data and social media 1 min read · Sun, Apr 12 2020 News Dr. Paula Moraga is part of a multidisciplinary KAUST research team that applies models to COVID-19. She has worked on projects examining malaria in Africa and leptospirosis in Brazil, and the models she develops rely on in-depth knowledge about each disease. "With malaria, for example, we know that it's transmitted by mosquitoes," said Moraga. "So, if some regions have a high density of mosquitoes, are close to bodies of water or have a lot of humidity, we know that we are going to probably see a high risk of this disease." Into the unknown In many places, malaria and leptospirosis
CEMSE Division startups in focus: Peregrine Genomics 1 min read · Tue, Mar 24 2020 News precision medicine big data artificial intelligence The future has already arrived when it comes to the most exciting and promising field of modern medicine—precision medicine.
New book of Mikhail Moshkov "Comparative Analysis of Deterministic and Nondeterministic Decision Trees" is published by Springer 1 min read · Mon, Mar 16 2020 Spotlight News Mikhail begun to write this book more than 30 years ago in Lobachevsky State University of Nizhni Novgorod, continued in University of Warsaw, University of Silesia in Katowice, and Stanford University, and finished last year in King Abdullah University of Science and Technology.
Alumni Focus: Dimitrios Kleftogiannis 1 min read · Wed, Mar 11 2020 News Spotlight KAUST alumnus Dimitrios Kleftogiannis (Ph.D. '16, computer science) is a scientist studying cancer whose enthusiasm for his current research is infectious.
Approximating a kernel of truth 1 min read · Tue, Mar 10 2020 News artificial intelligence machine learning Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.
KAUST Visual Computing Ph.D. Student wins 2020 Facebook Fellowship Award 1 min read · Wed, Mar 4 2020 News Spotlight Facebook fellowship award Anna Fruehstueck, a Ph.D. student in the KAUST Visual Computing Center (VCC) under the supervision of Professor Peter Wonka, recently won a 2020 Facebook Fellowship award and a two-year fellowship from Facebook Research.
Joining forces to advance healthcare analytics in the Kingdom 1 min read · Wed, Feb 26 2020 News healthcare analytics data science The recent KAUST-Prince Mohammed Bin Salman College (MBSC) Invitational Healthcare Analytics and Data Science Workshop brought together top-level clinicians, healthcare executives, representatives to discuss digitization and advancement of healthcare analytics in Saudi Arabia.
KAUST Ph.D. student Jinhui Xiong wins best paper award 1 min read · Thu, Jan 23 2020 News Spotlight Computer Vision modeling visualization computer graphics 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.
Ph.D. Student’s Research Listed in The American Journal of Transplantation’s “Top 10 Articles of 2019” 1 min read · Wed, Jan 22 2020 News Spotlight Dynamic programming Combinatorial machine learning Research work carried out by Michał Mańkowski, a Ph.D. student in the KAUST Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, was recently selected for inclusion by the editors of The American Journal of Transplantation (AJT) in their “Top 10 Articles of 2019.
Algorithm turns cancer gene discovery on its head 1 min read · Mon, Jan 20 2020 News human health Computer science cancer A method for finding genes that spur tumor growth takes advantage of machine learning algorithms to sift through reams of molecular data collected from studies of cancer cell lines, mouse models and human patients.
AI uses your imagination 1 min read · Tue, Jan 14 2020 News artificial intelligence machine learning Computer science The psychology of human creativity helps artificial intelligence imagine the unseen.
LD Motif Finder locates ancient hidden protein patterns 1 min read · Mon, Jan 6 2020 News artificial intelligence machine learning human health bioscience A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer.
ActivityNet is featured in the 2019 Artificial Intelligence Index 1 min read · Sun, Dec 15 2019 News artificial intelligence Video Understanding ActivityNet is featured in the AI Index as the benchmark for the algorithms that can recognize human actions and activities from videos.
Jinhui Xiong wins Best Paper Award at VMV 2019 1 min read · Mon, Dec 2 2019 News Spotlight computational imaging 3D reconstruction Fourth-year computer science Ph.D. student Jinhui Xiong won the best paper award at this year’s 24th International Symposium on Vision, Modeling, and Visualization (VMV) 2019.
Abeer Almutairi succesfully defends her master's thesis | Unsupervised Method for Disease Named Entity Recognition 1 min read · Mon, Dec 2 2019 News Abeer Almutairi, a student under the supervision of Professor Robert Hoehndorf, defended her Master's thesis "Unsupervised Method for Disease Named Entity Recognition" on November 4, 2019.
Mona Alshahrani Ph.D. Defense | Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine 1 min read · Sun, Dec 1 2019 News Mona Alshahrani a Ph.D. candidate under the supervision of Professor Robert Hoehndorf Defended her Ph.D. thesis "Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine."
Machine learning models gather momentum 1 min read · Sun, Nov 24 2019 News algorithms machine learning Computer science New methods for training machine learning models are quicker and more accurate than current approaches, previously considered state-of-the-art.
CEMSE New Faculty: Mohamed Elhoseiny, Assistant Professor of Computer Science 1 min read · Thu, Nov 7 2019 News artificial intelligence Computer Vision Prior to joining the KAUST CEMSE Division earlier this year, Mohamed Elhoseiny received his Ph.D. degree from Rutgers University, New Brunswick in 2016, before spending over two years working as a postdoctoral researcher at Facebook in the company’s AI research wing. Elhoseiny joins the Division as an assistant professor of computer science based in the KAUST Visual Computing Center (VCC). He will also act as the PI of the KAUST Computer Vision, Content AI (Vision-CAIR) Research Group. Outside of his duties at KAUST, he is also acting as an artificial intelligence (AI) research consultant for Baidu Research, Silicon Valley AI Lab.
AI reveals nature of RNA-protein interactions 1 min read · Wed, Oct 30 2019 News artificial intelligence Computer science A deep learning tool could help in structure-based drug discovery.
Symbol of change for AI development 1 min read · Sun, Oct 20 2019 News artificial intelligence Computer science Bridging the knowledge gap in artificial intelligence requires an embedding function that helps step between different types of "thinking."
Less chat leads to more work for machine learning 1 min read · Wed, Oct 16 2019 News machine learning Computer science Deep analysis of the way information is shared among parallel computations increases efficiency to accelerate machine learning at scale.
NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels 1 min read · Tue, Oct 15 2019 News grants Dominik L. Michels, Assistant Professor of Computer Science and Applied Mathematics, and Head of the Computational Sciences Research Group within KAUST's Visual Computing Center, was recently awarded one of the six Artificial Intelligence Grants of the State of North Rhine-Westphalia (NRW), Germany, for his contributions to the simulation of complex physical environments. The grant, amounting to 1.25 million euros, will fund Michels’ research on algorithmic methods to use synthetic data for training of neural networks in Machine Learning. “Synthetic data are data that were not obtained by direct measurement but were generated by specific algorithms,” Michels explains, “in neural networks, the use of synthetic data is needed whenever the amount of data available is less than required.”
The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019 1 min read · Thu, Sep 26 2019 News visualization graph drawing 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 1 min read · Wed, Sep 25 2019 News visualization 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 Professor Peter Richtárik wins Distinguished Speaker Award 1 min read · Sun, Sep 15 2019 Awards Spotlight News optimization machine learning big data Peter Richtárik, KAUST professor of computer science, recently received a Distinguished Speaker Award at the Sixth International Conference on Continuous Optimization (ICCOPT 2019) held in Berlin from August 3 to 8. ICCOPT 2019 was organized by the Mathematical Optimization Society and was hosted this year by the Weierstrass Institute for Applied Analysis and Stochastics.
Database to support infectious disease research 1 min read · Wed, Sep 11 2019 News machine learning artificial intelligence human health Computer science Linking disease pathogens to clinical signs and symptoms through a database could support research into the molecular mechanisms of infectious diseases.
AI learns complex gene-disease patterns 1 min read · Sun, Sep 1 2019 News health artificial intelligence big data Computer science A deep learning model improves the ability to identify genes potentially involved in disease.
A breath of fresh information to help diagnosis 1 min read · Sun, Aug 4 2019 News communication networks wireless networks energy harvesting cognitive radio systems A communications concept could pinpoint a person infected with a deadly, contagious virus in the middle of a crowded airport.
Mastering a prickly problem in ferrofluids 1 min read · Sun, Jul 14 2019 News Computer science visual computing nanoelectronics ferrofluids magnetic-field simulations Computer simulation accurately captures the beguiling motion of a liquid magnetic material.
Accelerating the grapevine effect 1 min read · Sun, Jul 7 2019 News optimization machine learning big data By looking at classical gossip algorithms from a novel perspective, KAUST Professor Peter Richtarik has found a way to significantly speed up gossip-based information sharing, and in the process, he discovered new applications for this efficient mathematical approach. Gossip involves the sharing of information between individuals in a network and can be applied mathematically in both human social networks and data networks, such as distributed sensors. “A network is a collection of nodes, each connected to other nodes via links,” explains Richtarik. “In social networks, for instance
KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks 1 min read · Tue, Jul 2 2019 News Deep learning artificial intelligence machine learning KAUST researchers Anna Fruehstueck, Dr. Ibraheem Alhashim, and Prof. Peter Wonka have developed a novel technique to generate images of realistic and highly detailed texture maps using deep neural networks. The texture images synthesized by their system TileGAN can be of gigapixel size and are created by seamlessly merging smaller texture blocks into a single large image. The underlying neural networks are trained using high-resolution images such as detailed satellite imagery, maps and famous paintings.
Querying big data just got universal 1 min read · Sun, Jun 23 2019 News big data algorithm Computer science A universal query engine for big data that works across computing platforms could accelerate analytics research.
Alumni Focus: Ronell Sicat 1 min read · Thu, Jun 20 2019 News immersive analytics computer graphics large-scale data visualization As the volume and complexity of data captured around the world continues to grow exponentially, new ways of exploring and visualizing this data are required. Today, society has moved beyond the traditional desktop computer with tools such as augmented and virtual reality (AR/VR) at the forefront of immersive data visualization and analysis.
Alumni Focus: Faisal Nawab 1 min read · Wed, May 29 2019 News Spotlight KAUST alumnus Faisal Nawab received his master's degree in computer science from the University in 2011. His M.S. thesis work, which focused on how to build wireless network infrastructure, was supervised by KAUST Associate Professor Basem Shihada.
KAUST Professor David Keyes to chair International Supercomputing Conference 2020 1 min read · Mon, May 20 2019 Spotlight News supercomputing conference David Keyes, KAUST professor of applied mathematics and computational science; director of the University's Extreme Computing Research Center; and senior associate to the President of KAUST, will chair the International Supercomputing Conference (ISC) 2020. He will be the first program chair from a Middle Eastern institution, as announced by ISC 2020.
Alumni Focus: Manal Kalkatawi 1 min read · Thu, May 16 2019 News Spotlight Manal Kalkatawi graduated from KAUST in 2017 with a Ph.D. in computer science with a focus on bioinformatics. She is currently an assistant professor at the Faculty of Computing and Information Technology at King Abdulaziz University (KAU) in Jeddah. Kalkatawi also pursues research in her field of specialization through cooperation with different research organizations, and she supervises master's degree theses of KAU students.
Cutting datasets down to size 1 min read · Thu, May 16 2019 News applied mathematics computational science statistics environment A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.
Alumni Focus: Suzan Katamoura 1 min read · Mon, Apr 15 2019 News Spotlight KAUST alumna Suzan Katamoura graduated from the University in 2013 with a master's degree in computer networks. She currently works at King Abdullah City for Atomic and Renewable Energy as a researcher and a director of the Nuclear Fuel Cycle Unit in the Atomic Energy Sector.
Alumni Focus: Albara Alauhali 1 min read · Tue, Mar 5 2019 News Spotlight saudi vision 2030 KFUPM KAUST alumnus Albara Bin Mousaed Alauhali is currently the executive advisor and director of strategic projects at the National Identity Enhancement Program, a program aimed at achieving Saudi Vision 2030.
Scanning in the Fourth Dimension 1 min read · Sun, Feb 17 2019 News visualization visual computing 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
Tweaking tools to track tweets over time 1 min read · Sun, Feb 17 2019 News Social media data machine learning artificial intelligence Computer model learns to identify Twitter users’ evolving interests by analyzing their Tweets.
Professor Ivan Viola Joins the Visual Computing Center 1 min read · Wed, Feb 13 2019 Spotlight News visualization visual computing 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
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning" 1 min read · Tue, Jan 22 2019 News Deep learning optimization EECVC Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning". It is a 45 minutes talk scheduled on the 6th of July 2019.
Visualization of brain structures helps to model function 1 min read · Thu, Jan 3 2019 News bioscience Computer simulations and virtual reality are used by KAUST researchers and collaborators in France to visualize the energetic coupling between neurons and astrocytes and to improve understanding of brain metabolism. The human brain uses more energy than any other organ, accounting for around 20 percent of all glucose-derived energy. Neurons can’t meet their own energy requirements: they depend on supporting glial cells and the neurovascular system to supply various forms of sugar fuel. However, it is still unclear how this neuro-glio-vasculature network manages the brain’s energy demands
KAUST students participate in Europe’s leading hackathon event 1 min read · Thu, Jan 3 2019 Awards Torsten Hädrich and Yan Gong, two KAUST Ph.D. students from the University's Computer, Electrical and Mathematical Science and Engineering division, recently represented KAUST at the 48-hour international hackathon event Junction 2018. The event, which is Europe's most prestigious annual hackathon, brought computer and data scientists to Helsinki, Finland, from November 23 to 25, 2018, with the goal of addressing real-world computational issues while inspiring the next generation of technological leaders. Around 1,000 participants—including developers, designers and other "tech-heads" from 105
Nanovisualization Research Group is hiring 1 min read · Wed, Nov 21 2018 News visual computing visualization 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
KAUST Associate Professor Xiangliang Zhang talks about artificial intelligence 1 min read · Mon, Nov 12 2018 News artificial intelligence Xiangliang Zhang, associate professor of computer science in the University's Computer, Electrical and Mathematical Science and Engineering division, recently gave an invited Early Career Spotlight Talk at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18) 2018. During the event—which was held in Stockholm, Sweden, from July 13 to 19—Zhang and 21 international peers presented on all areas of artificial intelligence (AI).
