Publications

Journals 

1. A graph-theoretic approach for characterization of precipitates from atom probe tomography data, S Samudrala, O Wodo, SK Suram, S Broderick, K Rajan, Computational Materials Science 77, 335-342

2. Parallel framework for dimensionality reduction of large-scale datasets, SK Samudrala, J Zola, S Aluru, B Ganapathysubramanian, Scientific Programming

3. Data dimensionality reduction in materials science, S Samudrala, K Rajan, B Ganapathysubramanian, Informatics for Materials Science and Engineering, 97-119

4. A software framework for data dimensionality reduction: application to chemical crystallography, SK Samudrala, PV Balachandran, J Zola, K Rajan, Integrating Materials and Manufacturing Innovation 3 (1), 17

5. Application of Computational Homology and Graph-Theoretic Approaches for Quantitative Chemical Imaging in Atom Probe Tomography, S Broderick, J Peralta, S Samudrala, K Kaluskar, Microscopy and Microanalysis 19 (S2), 930-931

Conferences

1. [Invited] S. Samudrala, A. Fast, S.R. Kalidindi, "Materials Data Analytics", Materials Genomic Initiative National Conference, Atlanta, GA, June 2014.

2. A. Khosravani, P. Shabbaki, S. Samudrala, S. Kalidindi, "Integrated Smart Microscopy-Indentation System", Materials Genome Initiative South-Eastern Conference, Atlanta, GA, 2014.

3. [Invited] S. Samudrala; S. Pfeifer; O. Wodo; J. Zola; K. Rajan; B. Ganapathysubramanian, Scalable Graph-based Techniques for Large-scale Materials Data,  Data Analytics for Materials Science and Manufacturing: Topology, Graph Theory, and Data Fusion, The Materials Society, 2014.

4. S.Samudrala, J. Zola, S. Aluru, B. Ganapathysubramanian, Parallel Implementation of PCA and Isomap,   SIAM’s conference on  Parallel Processing for Scientific Computing, Savannah, Georgia, U.S.A., Febrauary 2012.

5. S. Samudrala, B. Ganapathysubramanian, Extracting Topological Properties Using Manifold Learning Techniques, SIAM’s conference on Applied Geometry AG11, Oct 6th - 9th 2011, Raleigh, North Carolina, USA.

6. S. Samudrala, J. Zola, S. Aluru, B. Ganapathysubramanian, A Scalable Computational Framework for Manifold Learning -- Comparison on Distributed and Shared Memory Architectures, presented at 9th World Congress on Computational Mechanics, Sydney, Australia, July 19-23, 2010

7. B. Ganapathysubramanian, S. Samudrala, Y. Xie, J. Zola, S. Aluru, Computational Strategies for UQ: Fault Tolerant Collocation and Input Model Generation, at symposium on 'Numerical Methods for Stochastic Computation and Uncertainty Quantification' at 2011 SIAM conference on Computational Science and Engineering, Reno, NV, Feb 28-March 4, 2011.

8. S.Samudrala, Y. Reddy, M.V.S. Murali Krishna, Studies on Airplanes with Diesel Engines, 6th National Convention of ISTE students' chapter - 2003.

Book Chapters

• 1. Samudrala S, Rajan K, Ganapathysubramanian B, Data Dimensionality Reduction in Materials Science, Informatics for Materials Science and Engineering: Data-driven Discovery for Accelerated Experimentation and Application, Elsevier Science, 2013

        Theses

• 1. S. Samudrala,  Scalable Techniques for the Analysis of Large-scale Materials Data, Iowa State University, 2013.