Research Repository

See what's under the surface


Radiologic image-based statistical shape analysis of brain tumors (2018)
Journal Article
Bharath, K., Kurtek, S., Rao, A., & Baladandayuthapani, V. (2018). Radiologic image-based statistical shape analysis of brain tumors. Journal of the Royal Statistical Society: Series C, 67(5), (1357-1378). doi:10.1111/rssc.12272. ISSN 0035-9254

We propose a curve-based Riemannian-geometric approach for general shape-based statistical analyses of tumors obtained from radiologic images. A key component of the framework is a suitable metric that (1) enables comparisons of tumor shapes, (2) pro... Read More

Geometric multiaxial representation of N-qubit mixed symmetric separable states (2017)
Journal Article
Suma, S., Sirsi, S., Hegde, S., & Bharath, K. (2017). Geometric multiaxial representation of N-qubit mixed symmetric separable states. Physical Review A, 96(2), doi:10.1103/PhysRevA.96.022328. ISSN 2469-9926

Study of an N qubit mixed symmetric separable states is a long standing challenging problem as there exist no unique separability criterion. In this regard, we take up the N-qubit mixed symmetric separable states for a detailed study as these states... Read More

Statistical tests for large tree-structured data (2017)
Journal Article
Bharath, K., Kambadur, P., Dey, D. K., Rao, A., & Baladandayuthapani, V. (in press). Statistical tests for large tree-structured data. Journal of the American Statistical Association, 112(520), doi:10.1080/01621459.2016.1240081. ISSN 0162-1459

We develop a general statistical framework for the analysis and inference of large tree-structured data, with a focus on developing asymptotic goodness-of-fit tests. We first propose a consistent statistical model for binary trees, from which we deve... Read More

Lowering the cost of large-scale energy storage: high temperature adiabatic compressed air energy storage (2017)
Journal Article
Cárdenas, B., Pimm, A. J., Kantharaj, B., Simpson, M., Garvey, J., & Garvey, S. D. (2017). Lowering the cost of large-scale energy storage: high temperature adiabatic compressed air energy storage. Propulsion and Power Research, 6(2), doi:10.1016/j.jppr.2017.06.001. ISSN 2212-540X

Compressed air energy storage is an energy storage technology with strong potential to play a significant role in balancing energy on transmission networks, owing to its use of mature technologies and low cost per unit of storage capacity. Adiabatic... Read More

Gas-to-gas heat exchanger design for high performance thermal energy storage (2017)
Journal Article
Cardenas, B., Garvey, S. D., Kantharaj, B., & Simpson, M. (2017). Gas-to-gas heat exchanger design for high performance thermal energy storage. Journal of Energy Storage, 14(2), doi:10.1016/j.est.2017.03.004. ISSN 2352-152X

The mathematical modelling and optimization of a gas-to-gas heat exchanger with a non-constant cross sectional area is presented. The design of the cross sectional area of the heat exchanger analyzed is based on an hexagonal mesh, which would be high... Read More

A geometric approach to visualization of variability in functional data (2016)
Journal Article
Xie, W., Kurtek, S., Bharath, K., & Sun, Y. (in press). A geometric approach to visualization of variability in functional data. Journal of the American Statistical Association, 112(519), doi:10.1080/01621459.2016.1256813. ISSN 0162-1459

We propose a new method for the construction and visualization of boxplot-type displays for functional data. We use a recent functional data analysis framework, based on a representation of functions called square-root slope functions, to decompose o... Read More

Parametric investigation of a non-constant cross sectional area air to air heat exchanger (2016)
Journal Article
Cárdenas, B., Garvey, S., Kantharaj, B., & Simpson, M. (2017). Parametric investigation of a non-constant cross sectional area air to air heat exchanger. Applied Thermal Engineering, 113, doi:10.1016/j.applthermaleng.2016.10.209. ISSN 1359-4311

The present article addresses the design, mathematical modelling and analysis of a novel highly exergy-efficient air to air heat exchanger. An intricate design based on an hexagonal mesh is proposed for the cross-sectional area of the heat exchanger... Read More

DEMARCATE: density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer (2016)
Journal Article
Saha, A., Banerjee, S., Kurtek, S., Narang, S., Lee, J., Rao, G., …Baladandayuthapani, V. (in press). DEMARCATE: density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer. NeuroImage: Clinical, 12, doi:10.1016/j.nicl.2016.05.012. ISSN 2213-1582

Tumor heterogeneity is a crucial area of cancer research wherein inter- and intra-tumor differences are investigated to assess and monitor disease development and progression, especially in cancer. The proliferation of imaging and linked genomic data... Read More

Economic analysis of a hybrid energy storage system based on liquid air and compressed air (2015)
Journal Article
Pimm, A. J., Garvey, S. D., & Kantharaj, B. (2015). Economic analysis of a hybrid energy storage system based on liquid air and compressed air. Journal of Energy Storage, 4, doi:10.1016/j.est.2015.09.002. ISSN 2352-1538

A hybrid energy storage system is defined here as one which comprises two series-connected energy stores (using different storage technologies), only one of which is connected to the grid. Such a plant can take advantage of certain characteristics of... Read More

Compressed air energy storage with liquid air capacity extension (2015)
Journal Article
Kantharaj, B., Garvey, S. D., & Pimm, A. J. (2015). Compressed air energy storage with liquid air capacity extension. Applied Energy, 157, doi:10.1016/j.apenergy.2015.07.076. ISSN 0306-2619

As renewable electricity generation capacity increases, energy storage will be required at larger scales. Compressed Air Energy Storage (CAES) at large scales, with effective management of heat, is recognised to have potential to provide affordable g... Read More

Bayesian sensitivity analysis with the Fisher–Rao metric (2015)
Journal Article
Kurtek, S., & Bharath, K. (2015). Bayesian sensitivity analysis with the Fisher–Rao metric. Biometrika, 102(3), doi:10.1093/biomet/asv026. ISSN 0006-3444

We propose a geometric framework to assess sensitivity of Bayesian procedures to modelling assumptions based on the nonparametric Fisher–Rao metric. While the framework is general, the focus of this article is on assessing local and global robustness... Read More

Thermodynamic analysis of a hybrid energy storage system based on compressed air and liquid air (2014)
Journal Article
Kantharaj, B., Garvey, S. D., & Pimm, A. J. (2015). Thermodynamic analysis of a hybrid energy storage system based on compressed air and liquid air. Sustainable Energy Technologies and Assessments, 11, doi:10.1016/j.seta.2014.11.002. ISSN 2213-1388

As renewable electricity generation capacity increases, energy storage will be required at larger scales. Compressed air energy storage at large scales, with effective management of heat, is recognised to have potential to provide affordable grid-sca... Read More

Spacings around and order statistic (2014)
Journal Article
Nagaraja, H. N., Bharath, K., & Zhang, F. (2015). Spacings around and order statistic. Annals of the Institute of Statistical Mathematics, 67(3), doi:10.1007/s10463-014-0466-9. ISSN 0020-3157

We determine the joint limiting distribution of adjacent spacings around a central, intermediate, or an extreme order statistic Xk:n of a random sample of size n from a continuous distribution F. For central and intermediate cases, normalized spacing... Read More