Ying Sun is a multi-award-winning statistician who is inspired by the value of statistics in solving real-world problems.
Gaurav Agarwal joined KAUST in the fall of 2016 as a statistics Ph.D. student in the Environmental Statistics Group under the supervision of Professor Ying Sun. Before joining KAUST, Agarwal completed a bachelor's degree in statistics from Hindu College, Delhi, and a master's degree in statistics from the Indian Institute of Technology (IIT), Kanpur.
A method to visualize hidden statistical structure helps make sense of environmental data.
Ph.D. student Gaurav Agarwal received an Honorable Mention from ENVR student paper competition for his paper entitled "Quantile function modeling with application to salinity tolerance analysis in plant data."
Professor Huser will present the work in a special invited session (JABES showcase) at the International Biometric Conference taking place in Barcelona, Spain, in July 2018.
A new statistical technique could be used to more accurately locate global wind resources.
Coordinated robot swarms can achieve amazing feats, but even a single faulty unit can have serious consequences.
High-speed communication systems based on ultraviolet radiation are now in sight.
PhD student Sabrina Vettori has been selected by the International Biometric Society E
Study design allows more rigorous evaluation of complex healthcare interventions.
2017 Workshop Modern Statistics for Complex Data Structures
That is not a Messenger troll, but the actual conversation between two chatbots by the Facebook AI Research (FAIR). The two robots, Bob and Alice, were thought the art of negotiation apples and books. They had been instructed to work out how to negotiate between themselves and improve their bartering as they went along. But, after leaving the pair alone, they start talking in this uncompressible but yet effective vocabulary.
The Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) is pleased to announce the Saudi Summer Internship 2018 (SSI2018). The CEMSE Saudi Summer Internship is an 8-12 week research program designed to introduce in-kingdom students to topics of research in our Division.
A statistical technique for modeling large datasets improves interpretation of climate and environmental data.
Ying Sun, KAUST assistant professor of applied mathematics and computational science, won the 2017 Section on Statistics and the Environment (ENVR) Early Investigator Award from the American Statistical Association (ASA).