Computer science

InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015

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InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015.

Divide and conquer pattern searching

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Searching for recurring patterns in network systems has become a fundamental part of research and discovery in fields as diverse as biology and social media. KAUST researchers have developed a pattern or graph-mining framework that promises to significantly speed up searches on massive network data sets. “A graph is a data structure that models complex relationships among objects,” explained Panagiotis Kalnis, leader of the research team from the KAUST Extreme Computing Research Center. “Graphs are widely used in many modern applications, including social networks, biological networks like

Querying big data just got universal

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A universal query engine for big data that works across computing platforms could accelerate analytics research.

AI learns complex gene-disease patterns

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A deep learning model improves the ability to identify genes potentially involved in disease.

Peeling back the layers of deep machine learning

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A layer-based approach raises the efficiency of training artificial intelligence models.

Razen Al Harbi

Razen Al Harbi obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST) in 2016. Research Interests Razen's research interests included ​Large scale data management with an emphasis on managing and querying large-scale graphs. Selected Publications Ali H. Dogru, Larry S. K. Fung, Usuf M, Tareq M. Al-Shaalan, Jorge A. Pita, K. Hemanthkumar, H. J. Su, James C. Tan, H. Hoy, W. T. Dreiman, W. A. Hahn, R. Al-Harbi, A. Al-Youbi, N. M. Al-Zamel, M. Mezghani “A