A communications concept could pinpoint a person infected with a deadly, contagious virus in the middle of a crowded airport.
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.
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.
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.
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.
CBRC would like to congratulate the students of CBRC who graduated at the 9th Commencement Ceremony held on December 14, 2018.
Rawan Olayan defended her Ph.D. dissertation and graduated with a degree in computer science. Under the supervision of her advisor Professor Vladimir Bajic, she completed her thesis on developing novel computational methods to predict drug-target interactions and their functional effects using data integration, graph mining and machine learning approaches.
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
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).
Elaf Jameel Islam, a student under the supervision of Professor Vladimir Bajic, defended her Master's thesis on November 6, 2018.
Her topic, "Prediction of Active and Inactive Chemical Compounds from High-Throughput Assays", was well received by defense committee members Professor Mikhail Moshkov, Associaciate Professor Meriem Laleg and Professor Vladimir Bajic.
Sara Althubaiti, a student under the supervision of Assistant Professor Robert Hoehndorf, defended her Master's thesis on November 5, 2018.
Azza Althagafi, a student under the supervision of Assistant Professor Robert Hoehndorf, defended her Master's thesis on November 1, 2018.
Four hundred hours of video are uploaded to YouTube every minute. Other than using text to search the title, description or tags associated with a video, video content search is limited. In addition to helping users find content more quickly and accurately, the ability to search video content is of paramount importance to video platforms and advertisers.
Meshari Alazmi, a Ph.D. candidate under the supervision of Associate Professor Xin Gao, defended his Ph.D. dissertation on October 24, 2018.
Small unmanned aerial vehicles (UAVs) are ideal capturing devices for high-resolution urban 3D reconstructions using multi-view stereo. Nevertheless, practical considerations such as safety usually mean that access to the scan target is often only available for a short amount of time, especially in urban environments.