Skip to main content
  • KAUST Research Conference on

     

    Computational and Statistical Interface to Big Data

    March 19 – 21, 2018

    Engineering Science Hall (bldg.9), level 2, lecture hall 2

  • KAUST Research Conference on

     

     Computational and Statistical Interface to Big Data

    March 19 – 21, 2018

    Engineering Science Hall (bldg.9), level 2, lecture hall 2


Welcome to KAUST Research Conference: Computational and Statistical Interface to Big Data, which will take place at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia during March 19-21, 2018. 

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 to 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 with common interests and active research in big data, as well as the researchers at KAUST who regularly generate or face big data, such as those in bioscience, geophysics, red sea research, and petroleum engineering. 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 the 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.

The topics will include but not limited to:
- Succinct data representation and storage;
- Big-data visualization;
- Parallel and distributed algorithms for inference and optimization;
- Analysis of large graphs and networks;
- Spatial and temporal statistics;
- Large-scale machine learning;
- Differential privacy in big data;
- Technology and engineering for big data generation.

On behalf of the Conference Organizing Committee, we welcome all our participants and hope for a productive and enjoyable stay at KAUST and the Kingdom of Saudi Arabia.

Xin Gao, Associate Professor of Computer Science and Conference Chair
Panagiotis Kalnis, Professor of Computer Science and Conference Co-chair
Marc Genton, Distinguished Professor of Statistics and Conference Co-chair

With financial support from the KAUST Office of Sponsored Research. Co-sponsored by the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, and additional support provided by the KAUST Industry Collaboration Program (KICP), Industry Partnerships office.

Group Photo.jpg