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KAUST Research Conference: Computational and Statistical Interface to Big Data

Start Date: March 19, 2018
End Date: March 21, 2018

KAUST Research Conference: Computational and Statistical Interface to Big Data

We are now in the fourth paradigm of science: Data Science. The massive amount of structured and unstructured data have posed new challenges and opportunities for the fields of computer science and statistics. Traditional computational and statistical methods for data storage, curation, sharing, querying, updating, visualization, analysis and privacy have been shown to fail in the big data scenario due to the unprecedented volume, velocity, variety, veracity and value of the big data. This conference will bring together a number of prominent researchers in Computer Science and Statistics who share common interests and persue active research in big data, as well as the researchers at KAUST who regularly generate or face big data, such as those in bioscience and Red Sea research. The goal is to exchange ideas and to share their latest research findings in new challenges, methodologies and applications in the context of big data, to promote big data research at KAUST, to educate KAUST students and postdocs to be the next-generation data scientists, and to encourage active interactions and collaborations amongst participants and KAUST at-large.

Keynote Speakers
• Tony Cai, Professor, University of Pennsylvania, US
• Jianqing Fan, Professor, Princeton University, US
• Christian Jensen, Professor, Aalborg University, Denmark
• Hernando Ombao, Professor, KAUST, Saudi Arabia
• Andrey Rzhetsky, Professor, University of Chicago, US
• Matt Wand, Distinguished Professor, University of Technology Sydney, Australia
• Wei Zhao, Professor, VPR, American University of Sharjah, UAE

The event is open to the KAUST community. This event is organized by Prof. Xin Gao, Prof. Panagiotis Kalnis and Prof. Marc Genton (CEMSE) with financial support from the KAUST Office of Sponsored Research (OSR) and additional support provided by the KAUST Industry Collaboration Program (KICP), Industry Partnerships office.

More Information:

Date: Monday 19th Mar 2018
Time:08:00 AM - 05:00 PM
Location: Engineering Science Hall (bldg.9), Level 2, Hall 2
Agenda:  https://bdc.kaust.edu.sa/schedule