STOP WATER WASTE with AI-Driven Smart Tap 1 min read · Mon, Oct 12 2020 News The Information System Lab led by Professor Tareq Al-Naffouri has developed an AI-driven smart tap that runs a personalized water flow and pressure profile based on each individual's actions. HOW? Check this out: https://youtu.be/5-30Z7Omugw
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
Wind forecasts power up for reliable energy production 1 min read · Sun, Sep 27 2020 News climate science statistics Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia’s wind energy potential.
Quieter wind beneath the wings 1 min read · Tue, Sep 22 2020 News extreme computing Acoustics applied mathematics computational science The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.
A fresh sense of possibility 1 min read · Mon, Sep 21 2020 News sensors electrical engineering A multisensory graphene-based skin can sense in extreme environments where other sensors cannot be used.
Meet KAUST student: Grigory Malinovsky 1 min read · Mon, Sep 21 2020 News machine learning optimization Grigory Malinovsky joined KAUST this fall as a M.S./Ph.D. candidate and member of Professor Peter Richtarik's Optimization and Machine Learning Lab. Grigory holds a bachelor's degree in applied mathematics and physics from the Moscow Institute of Physics and Technology, Russia. Malinovsky first came to KAUST as a visiting student and was instantly impressed by the research facilities and working atmosphere. His outstanding internship experience was a catalyst in choosing KAUST as the next step in his academic career.
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.
H2Opus: a Performance-Oriented Library for Hierarchical Matrices 1 min read · Wed, Sep 16 2020 News GPU Computing High Performance Computing numerical linear algebra H2Opus: a Performance-Oriented Library for Hierarchical Matrices Download at https://github.com/ecrc/h2opus. Experience our latest HPC software release that implements H 2-Matrix operations on shared-memory systems, possibly equipped with GPU hardware accelerators. The prime target applications for H2Opus are PDE-constrained optimizations. The features of H2Opus include: Generation of matrix structure from a point set and admissibility condition, Construction of a hierarchical matrix given a kernel function, Matrix-vector and matrix-multiple-vector multiplication, Basis orthogonalization
Meet KAUST prospective student: Pratik Nag 1 min read · Tue, Sep 15 2020 News machine learning artificial intelligence Pratik Nag will join KAUST this fall as a Ph.D. candidate and member of the KAUST Environmental Statistics research group under the supervision of Professor Ying Sun. Pratik holds a master's degree in statistical quality control and operation research, and a bachelor's degree in statistics, from the Indian Statistical Institute and the University of Calcutta, India.
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.
Professor Li inducted into the Georgia Tech Alumni 40 Under 40 class 1 min read · Thu, Sep 10 2020 News KAUST Assistant Professor Xiaohang Li was recently selected to the inaugural Georgia Tech Alumni Association 40 Under 40 class. From an initial pool of over 250 individuals, Li and 39 of his peers were successfully nominated by a committee of 26 Georgia Tech faculty, staff, and volunteer leaders. Each nominee was scored using a 25-point rubric system.
Meet KAUST prospective student: Waleed Abu Laban 1 min read · Thu, Sep 10 2020 News Signal processing machine learning Waleed Abu Laban is an electrical engineering graduate who will join KAUST this fall as a M.S./Ph.D. candidate and member of the KAUST Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil.
Meet KAUST prospective student: Sahar Ammar 1 min read · Wed, Sep 9 2020 News machine learning Deep learning telecommunication Sahar Ammar will join KAUST this fall as a M.S./Ph.D. candidate and member of the Networking Research Lab and Communication Theory Lab under the co-supervision of Professor Basem Shihada and Professor Mohamed-Slim Alouini. The multidisciplinary engineering graduate will join the University from Tunisia Polytechnic School (TPS).
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: Stefanos Georgiadis 1 min read · Tue, Sep 8 2020 News Partial Differential Equations Mathematical modeling Stefanos Georgiadis is an applied mathematics graduate who will join KAUST from the School of Applied Mathematical and Physical Sciences, Athens, Greece. Stefanos will join KAUST this fall as a Ph.D. candidate and member of the Applied Partial Differential Equations (AppliedPDE) research group under the supervision of Professor Athanasios Tzavaras.
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: Yiming Yang 1 min read · Sun, Sep 6 2020 News Antennas Microwave circuits Yiming Yang is an electronic science and technology graduate who will join KAUST from the University of Electronic Science and Technology of China (UESTC). Yiming will join KAUST as a M.S./Ph.D. candidate and member of the KAUST Integrated Microwaves Packaging Antennas and Circuits Technology Research Group under the supervision of Professor Atif Shamim. After completing his studies, Yiming aspires to be a productive researcher in antenna and microwave circuit design.
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: Dhanu Chettri 1 min read · Thu, Sep 3 2020 News semiconductors nanofabrication Dhanu Chettri holds a master’s degree in electronic and communication engineering from Manipur University, India. Before joining KAUST, he worked as a senior project fellow at Council of Scientific and Industrial Research-Central Electronics Engineering Research Institute (CSIR-CEERI). Dhanu will join KAUST this fall as a Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.
Meet KAUST prospective student: Xiaotian Jin 1 min read · Thu, Sep 3 2020 News Statistical Modeling spatio-temporal statistics Xiaotian Jin is a graduate of Wenzhou-Kean University in China (a campus of Kean University in the USA). Xiaotian will join KAUST this fall as a M.S./Ph.D. candidate in the KAUST Stochastic Processes and Applied Statistics research group under the supervision of Professor David Bolin.
Standing the test of time with a perfect partner 1 min read · Tue, Sep 1 2020 News energy electrical engineering Identifying the ideal co-catalyst can significantly extend the working lifetime of solar fuel–generating photocatalysts.
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: Miguel Ángel Álvarez Ballesteros 1 min read · Mon, Aug 31 2020 News monte carlo algorithms Miguel Ángel Álvarez Ballesteros is a physics graduate from the Universidad Industrial de Santander, Bucaramanga, Colombia. Miguel will join KAUST this fall as a M.S./Ph.D. candidate and member of the KAUST Computational Probability research group under the supervision of Professor Ajay Jasra.
Meet KAUST prospective student: Vishal Khandelwal 1 min read · Thu, Aug 27 2020 News optoelectronic devices Vishal Khandelwal is a physics graduate from India. He obtained his master’s degree from the Indian Institute of Technology, Jodhpur, and his bachelor’s degree from the University of Delhi, India. Vishal will join KAUST in the fall of 2020 as a Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.
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: Bárbara Nicoly M. Oliveira 1 min read · Wed, Aug 26 2020 News Underwater communication Bárbara Nicoly M. Oliveira is an electrical engineering graduate from the Federal University of Campina Grande, Brazil. Bárbara will join KAUST this fall as a M.S./Ph.D. candidate and member of the Photonics Laboratory under the supervision of Professor Boon Ooi.
Meet KAUST prospective student: Zhiyuan Liu 1 min read · Wed, Aug 26 2020 News semiconductors Zhiyuan Liu, 22, is an electrical engineering graduate from the University of Electronic Science and Technology of China, China. Zhiyuan will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.
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: Jose Manuel Taboada Vasquez 1 min read · Thu, Aug 20 2020 News semiconductors Jose Manuel Taboada Vasquez is a B.Sc. graduate in nanoscience and nanotechnology from the National Autonomous University of Mexico (UNAM), Mexico. He will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate, and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.
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.
Meet KAUST prospective student: Haoliang Lu 1 min read · Wed, Aug 19 2020 News magnetic materials semiconductors Haoliang Lu, 22, is an electrical engineering graduate who will join KAUST from the University of Electronic Science and Technology, China. Haoliang will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate, and member of the Integrated Circuits and Systems (ICS) research group, under the supervision of Professor Hossein Fariborzi.
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.
Professor Hussain’s adaptive tech for distance learning project receives $20,000 in prize funding 1 min read · Tue, Aug 18 2020 News COVID-19 innovation distance learning Muhammad Hussain, KAUST professor of electrical engineering and PI of the MMH Labs, was recently chosen as one of six finalists in the KAUST Community COVID-19 Innovation Challenge. The event, organized by KAUST Innovation and Economic Development, sought to generate community-driven solutions to challenges faced during the ongoing COVID-19 pandemic.
Meet KAUST prospective student: Cristian Felipe Jiménez Varón 1 min read · Sun, Aug 16 2020 News Statistical Modeling Environmental Statistics Cristian Felipe Jiménez Varón is an applied mathematics graduate who will join KAUST from the Universidad Nacional de Colombia Sede Manizales (UNAL), Colombia. He also holds dual bachelor's degrees in industrial engineering and chemical engineering fromUNAL .
Meet KAUST prospective student: Yingquan Li 1 min read · Tue, Aug 11 2020 News Optical wireless communications Signal processing Yingquan Li, 21, is an electrical engineering graduate who will join KAUST in the fall of 2020. He will join KAUST as a M.S./Ph.D. candidate in the KAUST Communication Theory Lab under the supervision of Professor Mohamed-Slim Alouini. An initial reference from a supervisor spurred his interest in joining KAUST, which resulted in a visiting student opportunity at KAUST. During his internship, Li was amazed by the facilities and research standard found on campus. It was this combination of impressive factors that inspired him to continue his academic career at the University.
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.
KAUST prospective student: Qizhou Wang 1 min read · Sun, Aug 9 2020 News machine learning Computer Vision Qizhou Wang, 22, is a communication engineering graduate who will join KAUST from the University of Electronic Science and Technology, China. Wang will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate in the KAUST Primalight Lab under the supervision of Professor Andrea Fratalocchi.
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.
KAUST mathematician named Fellow to European Academy of Sciences 1 min read · Wed, Jul 29 2020 Spotlight News EurASc numerical analysis Partial Differential Equations KAUST Distinguished Professor of Applied Mathematics and Computational Science, Dr. Peter Markowich, is named a 2020 Fellow to the European Academy of Sciences (EurASc) in recognition of his outstanding scholarship in the field of mathematical and numerical analysis of partial differential equations.
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.
To Boldly Go Where No Sensor Has Gone Before: The Movement to Place IoT in Radical New Spaces 1 min read · Mon, Jul 27 2020 News IoT electrical engineering The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources. This ever-increasing demand for resources and space needs novel technologies to explore natural resources, produce more crops, and explore outer space. Internet of X-things (X-IoT) is an enabling technology to overcome all of the above issues. The framework of X-IoT consists of three major categories as shown in Figure 1. The first one is the
Blueprint may power up KSA's wind energy future 1 min read · Thu, Jul 23 2020 News energy security climate science statistics High-resolution analysis of wind speed across Saudi Arabia can help fast track the expansion of the Kingdom’s emerging world-class wind energy industry.
Meet KAUST Prospective Student: Isaías de Sousa 1 min read · Wed, Jul 22 2020 News Isaías de Sousa is an electrical engineering graduate from Brazil. He obtained his master's degree from the Federal University of Campina Grande and his bachelor's degree from the Federal University of Piauí, Brazil, respectively. Isaías will join KAUST in the fall of 2020 as a Ph.D. candidate in the KAUST Sensors Lab under Professor Khaled Nabil Salama's supervision.
A shock to the system 1 min read · Wed, Jul 22 2020 News Spectral Analysis numerical analysis COVID-19 research The global, multifarious challenge posed by the COVID-19 pandemic has scientists tapping their wide-ranging fields of expertise to attack the problem on many fronts. Answering the call from KAUST President Tony Chan, and coordinated by the University's leadership team, KAUST researchers making up the Rapid Research Response Team (R3T) are turning this crisis into an opportunity to innovate.
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.
