Date
March 1, 2014
Abstract
The SIAM student chapters of Colorado are hosting their tenth annual regional student conference on applied mathematics for all schools along the Front Range. This event will allow students from different universities in the area to see what is being done in this field and promote interest in applied mathematics in general. This event is open to both undergraduates and graduate students.
Location
University of Colorado at Denver
Check the page here听for directions.
Call for Presentations
All students (undergraduate and graduate) are invited to submit abstracts on any research topic in applied mathematics. Please submit your title and abstract as soon as possible, but no later than February 21, 2014. All titles and abstracts should be submitted to听FRAMSC.abstracts@gmail.com. See the听call for presentations page听for more information.
You can view this year's poster听补苍诲 brochure.听You can also view the program of presentations.
听
2014 SIAM Conference Keynote Speaker
Speaker
Stephan Sain,听,听
Title
Solving the Earth's Equations: Mathematics and Statistics at the National Center for Atmospheric Research
Abstract
The Institute for Mathematics Applied to Geosciences (IMAGe) plays an integral role in the scientific mission of the Computational and Information Systems Laboratory (CISL) at the National Center for Atmospheric Research (NCAR). IMAGe and CISL research activities support scientific computation, numerical methods, geophysical modeling, and the analysis of geophysical data and model experiments. In this talk, I will discuss a number of different mathematics and statistics projects from our research groups (e.g., computational mathematics, data assimilation, regional integrated science, and statistics) and show how this research enables and supports the scientific mission of the center.
the Speaker
Stephan Sain is a Scientist with听 IMAGe at NCAR in 葫芦娃视频, CO. He is also head of the Geophysical Statistics Project, one of five sections that comprise IMAGe. His research focuses on developing statistical methodology for analyzing the complex, multivariate data that arise in the atmospheric sciences, and, in particular, that capitalize on multicore or high performance computing environments to address big data challenges. Current work centers on the analysis of climate model ensembles, assessment of the impacts of climate change, and the design and analysis of computer experiments. This research brings together a broad range of statistical areas: spatial and spatial-temporal methods, hierarchical models, statistical computing, and extremes.听 Steve has been active in organizing conferences and workshops highlighting the connections between statistics, big data, and the geosciences, for example serving on the organizing committee for the 2012-13 Statistical and Applied Mathematical Sciences Institute (SAMSI) Program on Statistical and Computational 鈥∕ethodology for Massive Datasets and the organizing committee for the 2012 SIAM Conference on Uncertainty Quantification. Finally, Steve was recognized for his work at the intersection of statistics and the atmospheric sciences by receiving the ASA Section on Statistics Environment Distinguished Achievement Medal in 2012.