RATIKANTA BEHERA

About

Ratikanta Behera received his Ph.D. from the Department of Mathematics, Indian Institute of Technology (IIT) Delhi, India, in 2013. From December 2013 to December 2014, he worked as a postdoctoral researcher at the University of Notre Dame, USA. Then, from January 2015 to July 2016, he worked as his second postdoctoral researcher at Laboratoire Jean Kuntzmann (University of Joseph Fourier), France. After completing these two Post-Doc, he worked as an Assistant Professor (July 2016 to December 2019) in the Department of Mathematics and Statistics at the Indian Institute of Science and Education Research (IISER) Kolkata, India. Further, he worked as a postdoctoral researcher (December 2019 to May 2022) in the Department of Mathematics, University of Central Florida, USA. Since May 2022, he has been working as an Assistant Professor in the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India. His research interests include recurrent neural networks, time-varying systems, wavelets in scientific computing, numerical linear algebra, tensor decomposition, iteration methods, and generalized inverses of tensors.

Employment

• Indian Institute of Science Assistant Professor
  2022 - Present
• University of Central Florida Postdoctoral Researcher
  2020 - 2022
• Indian Institute of Science Education and Research Kolkata Assistant Professor
  2016 - 2019
• Laboratoire Jean Kuntzmann Postdoctoral Researcher
  2015 - 2016
• University of Notre Dame Postdoctoral Researcher
  2013 - 2014

Education

• Indian Institute of Technology Delhi PhD
  2008 - 2013
• Utkal University Post Graduate Departments M.Phil
  2006 - 2008
• Utkal University Post Graduate Departments MSc
  2004 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Robust low-rank tensor completion based on M-product with weighted correlated total variation and sparse regularization
  Applied Mathematics and Computation 2026 DOI: 10.1016/j.amc.2026.130191
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• Projection-based iterative methods for solving multilinear systems
  Computational and Applied Mathematics 2026 DOI: 10.1007/s40314-026-03774-6
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• Zeroing neural network model for finding Moore Penrose inverse of time-varying tensors with applications in imaging
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2025.131987
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• Physics-informed fractional machine intelligence and space–time wavelet frameworks for non-local integro-partial differential equations involving weak singularities
  Communications in Nonlinear Science and Numerical Simulation 2026 DOI: 10.1016/j.cnsns.2025.109184
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• The wavelet solutions for the Fredholm integral equations
  Journal of Applied Mathematics and Computing 2026 DOI: 10.1007/s12190-026-02781-4
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• M-QR decomposition and hyperpower iterative methods for computing outer inverses of tensors
  Journal of Computational and Applied Mathematics 2026 DOI: 10.1016/j.cam.2025.116951
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• Wavelet‐Based L2‐1σ Scheme and Its Higher Order Convergence Analysis for Time‐Fractional Option Pricing Model Under Jump‐Diffusion
  Mathematical Methods in the Applied Sciences 2026 DOI: 10.1002/mma.70290
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• Automation — Augmentation of Artificial Intelligence and Human Intelligence
  Technovation 2026 DOI: 10.1016/j.technovation.2025.103462
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• An efficient hybrid numerical approach for time-fractional sub-diffusion equations with multi-singularities
  Numerical Algorithms 2026 DOI: 10.1007/s11075-025-02122-9
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• RGDBEK: Randomized Greedy Double Block Extended Kaczmarz Algorithm With Hybrid Parallel Implementation and Applications
  Numerical Linear Algebra with Applications 2026 DOI: 10.1002/nla.70102
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