Computaional Linear Algebra
Computational methods in Statistics
Predictive Maintenance
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Computation of an exact GCRD of several polynomial matrices: QR decomposition approach by Beniwal A., Saha T. , Khare S. R. Linear Algebra and its Applications 710 471-506 (2025)
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An improved algorithm for basis pursuit problem and its applications by Saha T., Srivastava S., Khare S., StanimiroviÄ P.S., PetkoviÄ M.D. Applied Mathematics and Computation 355 385-398 (2019)
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A wrapper feature selection approach using Markov blankets by Hassan A., Paik J. H., Khare S. R. Pattern Recognition - (2025)
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Linearly structured quadratic model updating using partial incomplete eigendata by Saha T., Rakshit S., Khare S.R. Applied Mathematics and Computation 446 - (2023)
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Linearly structured quadratic model updating using partial incomplete eigendata by Saha T., Rakshit S. , Khare S. R. Applied Mathematics and Computation 446 127-891 (2023)
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Solution of the linearly structured partial polynomial inverse eigenvalue problem by Rakshit S., Khare S.R. Journal of Computational and Applied Mathematics 411 - (2022)
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Computation of the nearest non-prime polynomial matrix: Structured low-rank approximation approach by Saha T., Khare S.R. Linear Algebra and Its Applications 616 84-124 (2021)
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Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule by Pote T., Ganaie M. A., Hassan A. , Khare S. R. Asian Conference on Machine Learning 848-863 (2023)
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Nearest linearly structured polynomial matrix with some prescribed distinct eigenvalues by Saha T., Rakshit S., Khare S.R. Linear and Multilinear Algebra - (2021)
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Structured Low-Rank Approximation: Optimization on Matrix Manifold Approach by Saha T., Khare S. International Journal of Applied and Computational Mathematics 7 - (2021)
Principal Investigator
- Polynomial Inverse Eigenvalue Problem and Applications Science and Engineering Research Board (SERB)
- Polynomial Inverse Eigenvalue Problem and Applications Anusandhan National Research Foundation (ANRF)
Ph. D. Students
Anjali Beniwal
Area of Research: Applied Linear Algebra
Ashraf Haroon Rashid
Area of Research: Multilinear Tensor Algebra for Deep Learning and Medical Imaging
Atif Hassan
Area of Research: Machine learning and Deep learning with applications
Debkanta Mondal
Area of Research: Applied Linear Algebra
Piyush Sunil Dangare
Area of Research: Applied linear algebra, optimization and applications in finance
R Bharathram
Area of Research: Asset Failure Prediction, Predictive Maintenance