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Assoc. Prof 

Krishnannair, Syamala

Faculty: Faculty of Science, Agriculture and Engineering
Department: Mathematical Sciences
Research Interest(s): Signal processing, Image processing, Multivariate statistical process monitoring, Time series analysis, Machine learning.
Active Research Project(s): Thuthuka (NRF) Project.
Biography: Dr. Krishnannair is a lecturer in the Department of Mathematical Sciences in the Faculty of Education. He teaches mathematics content and method modules to undergraduate students. He also supervises MEd and PhD students.
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2022 - 20232
Author: Pradhan, Anirudh ×
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    PublicationJournal Article
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    The reconstruction of constant jerk parameter with f(R, T) gravity in Bianchi-I spacetime
    2023
     | Springer Nature
    We have developed a Bianchi I cosmological model of the universe in f (R, T) gravity theory which fit good with the present-day scenario of accelerating universe. The model displays transition from deceleration in the past to the acceleration at the present. As in the CDM model, we have defined the three energy parameters, and such that++= 1. The parameter is the matter energy density (baryons+ dark matter), is the energy density associated with the Ricci scalar R and the trace T of the energy momentum tensor and is the energy density associated with the anisotropy of the universe. We shall call dominant over the other two due to its higher value. We find that the and the other two in the ratio 3: 1. 46 Hubble OHD data set is used to estimate present values of Hubble, deceleration and jerk j parameters. 1, 2 and 3 contour region plots for the estimated values of parameters are presented. 580 SNIa supernova distance modulus data set and 66 pantheon SNIa data which include high red shift data in the range have been used to draw error bar plots and likelihood probability curves for distance modulus and apparent magnitude of SNIa supernova’s. We have calculated the pressures and densities associated with the two matter densities, viz.,, and, respectively. The present age of the universe as per our model is also evaluated, and it is found at par with the present observed values.
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    Corrected holographic dark energy with power-law entropy and Hubble horizon cut-off in FRW universe
    2022
     | Elsevier
    In the present work, we investigate the power-law entropy corrected holographic dark energy (PLECHDE) model with Hubble horizon cutoff. We use 46 observational Hubble data points in the redshift range 0 ≤ 𝑧 ≤ 2.36 to determine the present Hubble constant 𝐻0 and the model parameter 𝑛. It represents a phase transition of the universe from deceleration to acceleration and has the transition point at 𝑧𝑡 = 0.71165. We investigate the observational constraints on the model and calculate some relevant cosmological parameters. We examine the model’s validity by drawing state-finder parameters that yield the result compatible with the modern observational data. The model’s physical and geometrical characteristics are also explored, and they are shown to match well with current observations of observational Hubble data (OHD) and the latest joint light curves(JLA) datasets.
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