Fall 2018 Lineup




TensorDecomposition: A Mathematical Tool for Data Analysis
Dr.Tamara G. Kolda , Sandia National Laboratories
Date: 6pm, October 29, 2018
Location: 2203 SAS Hall,
Tensors are multiway arrays, and these occur naturally in many data analysis. Consider a series of experiments tracking multiple sensors over time, resulting in a three-way tensor of the form experiment-by-sensor-by-time. Tensor decompositions are powerful tools for data analysis that can be used for data interpretation, dimensionality reduction, outlier detection, and estimation of missing data. In this talk, we consider the mathematical, algorithmic, and computational challenges of tensor methods and highlight their wide ranging utility with examples in neuroscience, chemical detection, social network analysis, and more. We discuss several new developments, including a new “generalized” version of tensor decomposition that allows for alternative statistically-motivated fitting functions.

Dr. Kolda is a Distinguished Member of the Technical Staff at Sandia National Laboratories. She has led numerous projects in computational science and data analysis on topics in multilinear algebra and tensor decompositions, graph models and algorithms, data mining, optimization, nonlinear solvers, parallel computing and the design of scientific software. Her work has received several honors, including a 2003 Presidential Early Career Award for Scientists and Engineers (PECASE), an R&D100 award, and three best paper prizes at international conferences. She was named a Distinguished Scientist of the Association for Computing Machinery (ACM) in 2011 and a Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2015. She is currently a member of the SIAM Board of Trustees and is the editor-in-chief of the new SIAM J. Mathematics of Data Science.




About RED Talks

The Data Science Initiative at NC State hopes to raise awareness of the breadth and depth of data science across campus as well as to continue to grow and engage the data science community at NC State by sponsoring RED Talks, Where Data Meets Science.  RED Talks will consist of an hour long, data science related talk from local and national leaders in data science.  In addition to promoting data science at NC State, our aim is to also spur interdisciplinary collaboration through a series of networking events, following the talks, where faculty and researchers from across campus, and more importantly across disciplines, can meet and engage with each other as well as with the larger data science community within the Triangle.  Further, one RED Talk per semester will also include additional activities to promote existing research on campus and cultivate new interdisciplinary approaches.

Note to CSC and Statistics Graduate Students – these lectures have been approved to count toward the required lectures for graduate students.  For Statistics grad students, there will be a sign-in sheet at the front. Download CSC seminar attendance form.