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Spotlight Videos

Introduction to the Basics of Deep Learning
Dr. Lawrence Carin, KAUST Provost
2/22/2021 10:00:00 AM
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KAUST Smart Health Initiative: Importance of AI and ML
Default Presenter
4/28/2021 8:00:00 AM
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Machine Learning for Science: Learning Representations and Governing Equations from Scientific Data
Prof. Jesper Tegnér, Bioscience - BESE
4/29/2021 10:40:00 AM
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Opening Remarks
President Tony F. Chan, King Abdullah University of Science and Technology
4/28/2021 6:00:00 AM
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The AI Initiative at KAUST
Prof. Bernard Ghanem, Professor in the CEMSE division and Interim Lead for KAUST AI Initiative
4/28/2021 6:20:00 AM
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Towards an AI scientist Foundation machine learning of causality inspired from and applied to living systems.
Prof. Jesper Tegnér, Bioscience - BESE
11/20/2019 9:00:00 AM
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Recent Channels

3rd KAUST Library Saudi Seminar
Sharing the acquisition’s best practices as well as the challenges through addressing the various stages of handling the process and how to meet the patrons’ needs accurately & promptly. In this seminar, we’re going to exchange the experience, achievements and some useful tips with other internal and international institutions.
4/23/2019 10:54:54 AM
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Al-Kindi Distinguished Statistics Lectures
12/6/2018 12:20:25 PM
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Combustion in Extreme Conditions
THE CLEAN COMBUSTION RESEARCH CENTER The Clean Combustion Research Center (CCRC) at KAUST draws on multiple engineering and science disciplines, all of which contribute to the improvement of existing combustion technologies while allowing to pursue novel and innovative solutions. A key goal of the Center is to develop simple, cost-effective processes for supplying clean energy by combustion, partial oxidation, or other means relying on chemical energy conversion. The Center research agenda includes the improvement of less conventional processes such as hydrocarbon fuels gasification in order to obtain hydrogen or hydrogen-rich fuels while capturing the carbon for sequestration or use in high value-added materials. The Center is developing an international collaboration network through Global Research Partnership, Academic Excellence Alliance, KAUST Investigators, and KAUST Fellows with various combustion research institutions worldwide. Industry collaboration is being pursued through joint topic development, collective commitment, co-supervision, shared facilities, and onsite training and internship programs. KAUST’s emphasis on collaborative research among centers is crucial to energy efficiency, energy storage, and energy utilization as well as to the development of new alternative fuel sources. The Clean Combustion Research Center (CCRC) works closely with KAUST’s other Research Centers. These include those Research Centers focused on catalysis, membranes, solar energy, desalination, and bioscience and bioengineering with an emphasis on energy utilization and bio-nano-energy science.
4/15/2018 1:19:20 PM
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Core Labs & Research Infrastructure
Core Labs and Research Infrastructure is a system of multidisciplinary, interconnected laboratories that is an integral part of the research ecosystem at KAUST.
7/1/2021 2:23:40 PM
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EE-203 Lecture
Prof. Muhammad Hussein, Electrical Engineering Computer, Electrical and Mathematical Science and Engineering Division
2/24/2020 6:01:38 AM
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EnSE Fall Seminar
The EnSE Seminar Series aims to invite preeminent scientists in the fields of water desalination and reuse, wastewater treatment and reuse, applied and environmental microbiology, and environmental systems to KAUST and provide them with a forum to discuss their research and engage with students and faculty. The lectures are open to the campus; graduate students, postdocs, research scientists, and faculty are a broad audience.
10/4/2021 11:34:10 AM
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Faculty of Earth and Science
11/11/2018 11:22:49 AM
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FUELCOM3
10/11/2021 1:46:57 PM
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KAUST Cell Visualization Summit 2019
KAUST Cell Visualization Summit 2019 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.
11/11/2019 6:51:19 AM
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KAUST Circular Carbon Initiative
King Abdullah University of Science and Technology (KAUST) strives to be a global leader, recognized for science and engineering excellence and its contribution to delivering effective solutions to national and global challenges. We seek also to be a catalyst for societal and economic change through serving as a beacon of knowledge that inspires the Kingdom and the world. We focus on excellence in science and engineering, recognized for quality, insight and ambition. We create impact through partnering with academia, industry and government to ensure the timely application of KAUST research for societal and economic benefit. We are passionate about what we do, considerate as to our time and place, and courageous in tackling the science and engineering problems that matter and their broad dissemination and application to address national and global needs in Water, Energy, Environment, Food & Health, and the Digital domain.
3/11/2021 8:10:53 AM
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KAUST Conference on Artificial Intelligence
The KAUST Conference on Artificial Intelligence is a two full-day event that will bring together KAUST faculty and researchers to highlight exciting AI research being done on campus. It will feature the broad AI landscape at KAUST by delving into topics on machine learning, AI theory and foundations, systems, and the many applications of AI in various scientific fields ranging from healthcare and biology to automation and visual computing.
5/7/2021 12:29:36 PM
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KAUST Innovation and Economic Development
5/10/2018 7:05:52 AM
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KAUST Provost
Lawrence Carin is the new Provost at King Abdullah University of Science and Technology. Prior to joining KAUST professor Carin was the James L. Meriam Distinguished Professor of Electrical and Computer Engineering at Duke University, where he also served as the Vice President for Research. He is one of the most prolific authors in the world in the fields of machine learning and artificial intelligence, regularly publishing in the most competitive forums. Dr. Carin had taught at Duke for over 25 years, and has published nearly 400 peer-reviewed papers. Lawrence Carin earned the BS, MS, and Ph.D. degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on machine learning (ML), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.
4/8/2021 6:18:45 AM
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KAUST Research Conference: Ocean Carbon and Biogeochemistry in Tropical Seas
3/28/2021 7:44:11 AM
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KAUST Virtual Workshop Intelligent illumination of the Earth
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that has shown recently incredible potential in solving problems efficiently and providing a measure of certainty to the solution. It has experienced rapid growth in the last decade across diverse industries, including communications, financial services, security, transportation, and others. A combination of large-scale data, a new array of Machine Learning tools, robust mathematical foundations, big advances in computer hardware and software led to the development of Machine Learning applications which produced dramatic results, enabling new opportunities. Among these opportunities are finding solutions to the many Earth discovery problems. From seismic to well, gravity and magnetics, and all other measurements of the Earth physical properties, the geosciences community is now realizing the potential of machine learning in building a realistic model of the Earth from Oil & Gas exploration and production, to geotechnical and environmental applications. This first of its kind of workshop in KAUST (combining Machine Learning with Earth sciences) aims to highlight the challenges, opportunities, and trends related to the adoption of Machine Learning in geosciences research and industrial workflows. Researchers from academia, geological bodies, Oil & Gas, and technology companies will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of Machine Learning methods.
7/1/2021 1:15:34 PM
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KRCLCM
Delegates from academia, government laboratories and industry are invited to attend the 2020 conference on ‘Transition to Low Carbon Mobility’ hosted and organized by the Clean Combustion Research Center (CCRC) at KAUST. Travel fellowships for students and postdoctoral researchers will be awarded on the basis of merit. Fellowships cover all costs associated with attending the workshop including airfares and accommodation. Scope The conference will be organized around three topical areas: 1. Low Carbon Fuels and Engines: This topic encompasses talks and discussions on biofuels, hydrogen carriers, and other non-traditional fuels and the engine technologies that can use them. Speakers will discuss the major challenges limiting adoption and deployment of these new fuel/engine systems and the research opportunities. 2. Impact of Low Carbon Mobility: This topic will feature talks and discussions from thought leaders on the impact of these various fuel/engine systems on reducing the sector’s carbon footprint, including life cycle analyses of these systems. 3. Moving up the TRL scale: This topic will focus on the particular challenges and opportunities associated with moving technologies out of the TRL 1-3 levels and through the valley of death to demonstration scale and beyond.
2/18/2020 6:47:02 AM
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ML Hub Seminar Series
The Machine Learning Hub @ KAUST is designed to be the one-stop-shop for machine learning (ML) and artificial intelligence (AI) at KAUST. It is an informal forum for exchanging ideas in these areas, including (but not limited to) theoretical foundations, systems, tools, and applications. It will be providing several offerings to the KAUST community interested in ML and AI, including a regular seminar series where new research in the field is presented, an online social forum dedicated to AI and ML discussions, announcements, brainstorming, collaborations, and hands-on activities (e.g. tutorials/workshops and hackathons) to bolster the growing need for ML and AI education/training on campus. For more details, please visit ml.kaust.edu.sa. This talk will serve as the first installment in the seminar series, during which a more detailed overview of The Hub will be presented. All who are interested in ML and AI on campus are invited to join.
2/13/2019 1:42:39 PM
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Open Science Conference 2019
The Red Sea Research Center (RSRC) Open Science Conference 2019 is a student and postdoctoral fellow-led symposium exhibiting RSRC research and featuring international keynote speakers. As during previous Open Science Conferences in 2017 and 2018, we aim to provide a friendly platform for all RSRC students, postdocs, research technicians and research scientists to showcase their work (at varying stages of completion and/or success). Published something interesting? Let us know! Stuck with an intractable problem? Perhaps a member of the audience can suggest new ideas!
11/4/2019 5:05:44 AM
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Saudi Affairs
11/21/2018 7:41:32 AM
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Saudi Society of Medical Genetics (SSMG) Conference at KAUST
SSMG aims to bring together medical geneticists and other related professionals involved in the care of individuals and families with genetic diseases. Its objectives are to advance and promote the science and practice of genetics, to provide a platform for collaboration and personal exchanges between the researchers and health practitioners.
4/22/2019 2:19:34 PM
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Science Crossroad Initiative
4/15/2018 1:18:07 PM
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Seminar 2018
4/18/2018 6:42:29 AM
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The Ocean Soundscape Of The Anthropocene
The underwater ocean soundscape is a critical but understudied habitat feature directly affecting marine animals that rely on sound. However, with increasing human activity the ocean has become noisier. This is especially true with the advent of submarine construction and seismic exploration, and the ever-increasing noise produced by shipping and other human activities. Noise travels much further through water than air and thus has the capacity to have more widespread effects on marine life, especially those that have evolved to use sound to communicate, locate prey and habitats, and detect risks. In this workshop, we will bring together researchers measuring, describing, and comparing soundscapes in marine ecosystems across the world. The speakers will address questions such as: How have soundscapes changed in the Anthropocene, particularly the role of the anthrophony? Is the biophony, and thus most animal communication, potentially masked by anthropogenic noise? Are there spatial (tropical vs temperate vs polar, freshwater vs marine, coastal vs offshore) and temporal (diel, seasonal) differences in the dominance of noise? Is acoustic complexity related to marine biodiversity? What can we learn from relatively undisturbed ecosystems about the effects of noise, and are there conservation strategies to mitigate such negative effects?
2/4/2019 5:37:38 AM
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WEP 2020 - Personalized Medicine
About the theme 'Personalized Medicine' Personalized Medicine Personalized medicine is the natural progression of medicine and science, that aims at tailoring practices, interactions, and medicine to the individual patient. We must work to ensure that the best medicine is provided to the correct patient for treating and potentially preventing critical illnesses. How is personalized medicine going to impact your personal life? WEP 2020 will focus on the following broad areas: The future of medicine: how can we leverage current science and technology to implement customized treatments, drugs, applications, and biotechnology? The use of personalized medicine and genetic information in security, biology, AI, technology, science. The economic impact of personalized medicine and technology and how does it fit in the vision 2030. The impact of culture, ethics, and the environment on personal health. New trends on well-being and lifestyle.
1/28/2020 9:10:17 AM
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Workshop on Optimization and BIG DATA
3/11/2018 9:42:59 AM
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