Tamara (Tammy) Kolda is a member of the Data Science and Cyber
Analytics Department at Sandia National Laboratories in Livermore,
CA. She earned her Ph.D. in applied mathematics from the University of
Maryland at College Park. She was awarded the Householder Postdoctoral
Fellowship in Scientific Computing at Oak Ridge National Lab in
1997. She joined Sandia in 1999 and was named a Distinguished Member
of Technical Staff in 2010. She received a 2003 Presidential Early
Career Award for Scientists and Engineers (PECASE), 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 was the winner of an R&D100 award
and three best paper prizes at international conferences. Her work has been cited more than 8,500 times, and her 2009 article on Tensor Decompositions and Applications is currently the #1 most-downloaded article over all SIAM journals. 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. She has mentored more nineteen summer interns and six postdocs.
She has given keynotes talks at a variety of meetings including the International Symposium on Mathematical Programming (ISMP), the SIAM Conference on Computational Science & Engineering (CS&E), the SIAM Annual Meeting, and the IEEE International Conference on Data Mining (ICDM). She is currently a two-time elected member of the SIAM Board of Trustees, in her second term as Section Editor for the Software and High Performance Computing Section of SISC, and in her second term as Associate Editor for SIMAX.
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Selected Papers: [Click here for complete publication
list with abstracts]
Recent Papers on Tensors
Triangular Alignment (TAME): A
Tensor-based Approach for Higher-order Network Alignment
(with S. Mohammadi, D. Gleich, and A. Grama),
IEEE/ACM Trans. Comput. Biology and Bioinformatics, accpted Jul. 2016
Parallel Tensor Compression for
Large-Scale Scientific Data
(with W. Austin and G. Ballard),
IPDPS'16, May 2016
Optimization for Nonnegative Tensor Factorizations (with S.
Hansen and T. Plantenga), OMS, Apr. 2015
Optimization for Symmetric Tensor Decomposition, Math. Prog. B,
Symmetric Orthogonal Tensor Decomposition is Trivial,
arXiv:1503.01375, Mar. 2015
An Adaptive Shifted Power
Method for Computing Generalized Tensor Eigenpairs (with J.
Mayo), SIMAX 35(4), Dec. 2014
in Tensors for High Performance (with M. Schatz, T.-M. Low,
and R. A. van de Geijn), SISC 36(5), Sep. 2014
- On Tensors, Sparsity,
and Nonnegative Factorizations (with E. Chi),
SIMAX, 33(4), Dec. 2012
Recent Papers on Graphs
- Measuring and Modeling Bipartite Graphs with Community Structure (with S. Aksoy and A. Pinar), arXiv, Jul. 2016
Closure Measures for Networks with Reciprocity (with C.
Seshadrhi, A. Pinar, and N. Durak),
J. Complex Networks, Apr. 2016
Diamond Sampling for Approximate Maximum
All-pairs Dot-product (MAD) Search
(with G. Ballard, A. Pinar, and C. Seshadri),
ICDM'15, Nov. 2015 (best paper prize)
in Massive Graphs with MapReduce (with A. Pinar, T.
Plantenga, C. Seshadrhi, and C. Task),
SISC 36(5), Nov. 2014
A Scalable Generative Graph Model with Community Structure
(with A. Pinar, T. Plantenga, and C. Seshadrhi),
SISC 36(5), Sep. 2014
Wedge Sampling for
Computing Clustering Coefficients and Triangle Counts on Large Graphs
(with C. Seshadrhi and A. Pinar), Statistical
Analysis and Data Mining 7(4), Aug. 2014
Using Triangles to Improve Community Detection
in Directed Networks (with C. Klymko and D. Gleich),
in ASE BigDataScience, May 2014
Community Detection by Using K-core Subgraphs
(with C. Peng and A. Pinar), arXiv:1403.2226, Mar. 2014
- An In-Depth Analysis
of Stochastic Kronecker Graphs (with C. Seshadrhi and A.
Pinar), JACM 60(2), Apr. 2013
- Triadic Measures on
Graphs: The Power of Wedge Sampling (with C. Seshadrhi and A.
Pinar), SDM13, Apr. 2013 (best paper prize)
- Community structure
and scale-free collections of Erdös-Rényi graphs (with C.
Seshadrhi and A. Pinar), Phys. Rev. E 85(5), May
- The Similarity
between Stochastic Kronecker and Chung-Lu Graph Models (with
A. Pinar and C. Seshadrhi), SDM12, Apr. 2012
Decompositions and Applications (with B. W. Bader), SIREV,
51(3):455-500, Sep. 2009
862: MATLAB Tensor Classes for Fast Algorithm Prototyping
(with B. Bader), ACM TOMS 32(4):635-653, Dec. 2006
Overview of the Trilinos Project (with M. Heroux et al.), ACM
TOMS 31(3):397-423, Sep. 2011
- Optimization by
Direct Search: New Perspectives on Some Classical and Modern Methods
(with R. M. Lewis and V. Torczon), SIREV
45(3):385-482, Aug. 2003
- Orthogonal Tensor
Decompositions, SIMAX 23(1):243-255, July
Partitioning Models for Parallel Computing (with B.
Hendrickson), Parallel Computing 26(12):1519-1534,
- A Semidiscrete
Matrix Decomposition for Latent Semantic Indexing Information Retrieval
(with D. P. O'Leary), ACM TOIS 16(4):322-346, Oct.
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