About Me
I am currently a Postdoctoral researcher at J. J. Strossmayer University of Osijek, Croatia, with Prof. Zoran Tomljanović. I obtained my PhD from the Department of Mathematics, IIT Guwahati under the supervision of Prof. Rafikul Alam in 2019. From October 2020 to October 2021, I was a Postdoctoral researcher at Deraprtment of Electrical Engineering, IIT Bombay working with Prof. Harish. K. Pillai.
Research Interest
I work in the broad area of Numerical Linear Algebra and Matrix Theory.
My research interests includes
 Polynomial and Rational Eigenvalue Problems
 Parameter Dependent Quadratic Eigenvalue Problems
 Damping optimization in mechanical systems
 Perturbation Theory for Rational Eigenvalue Problems.
Postdoctoral Experience
 Jan 2022–Continue at Department of Mathematics, J. J. Strossmayer University of Osijek, Croatia
 October 2020 October at 2021, Deartment Of Electrical Engineering, IIT Bombay, India
Education
 Ph.D.: Indian Institute of Technology Guwahati, India (20132019)
 Thesis Advisor: Prof. Rafikul Alam
 Thesis Title: Strong Linearizations of Polynomial and Rational Matrices and Recovery of Spectral Data
 Thesis submission on 1st April 2019
 Thesis defended on 30th August 2019

M.Sc.: Indian Institute of Technology Kanpur, India (20102012)
 B.Sc.: Sambalpur University,Odisha, India (20062009)
Publications

R. K. Das and R. Alam, Palindromic linearizations of palindromic matrix polynomials of odd degree obtained from Fiedlerlike pencils {\em Vietnam Journal of Mathematics, 48 (2020), pp. 865–891.}

R. K. Das and R. Alam, Structured strong linearizations of structured rational matrices {\em Linear And MultiLinear Algebra, 2021, pp. 134.}

R. K. Das and R. Alam, Affine spaces of strong linearizations for rational matrices and the recovery of eigenvectors and minimal bases Linear Algebra Appl., 569 (2019), pp. 335368.

R. K. Das and R. Alam, Recovery of minimal bases and minimal indices of rational matrices from Fiedlerlike pencils Linear Algebra Appl., 566 (2019), pp. 3460.

R. K. Das and R. Alam, Automatic recovery of eigenvectors and minimal bases of matrix polynomials from generalized Fiedler pencils with repetition Linear Algebra Appl., 569 (2019), pp. 78112.