Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences.

This website is about a new NSF-funded initiative in big data applied to atmospheric sciences and using high-performance computing as a vital tool. The training consists of instruction in the areas of data, computing, and atmospheric sciences supported by teaching assistants, followed by faculty-guided project research in a multidisciplinary team of participants from each area. Participating graduate students, post-docs, and junior faculty from around the nation will be exposed to multidisciplinary research experiences and have the opportunity for significant career growth.

The website is being constructed. Please visit back for more information.

Project PIs.

  1. Dr. Jianwu Wang, Department of Information Systems.
  2. Dr. Matthias K. Gobbert, Department of Mathematics and Statistics.
  3. Dr. Zhibo Zhang, Department of Physics.
  4. Dr. Aryya Gangopadhyay, Department of Information Systems.

Additional links.

  1. Flier on Spring 2018 Face-to-Face Training Application.
  2. Paper: Jianwu Wang, Matthias Gobbert, Zhibo Zhang, Aryya Gangopadhyay and Glenn Page, Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences, in Proceedings of EduHPC-17: Workshop on Education for High-Performance Computing at SuperComputing Conference 2017
  3. Grant information at NSF, responding the NSF CyberTraining program.
  4. News at UMBC.
  5. Announcement from U.S. Senator Chris Van Hollen and Ben Cardin.