Anil Kumar Yadav
United College of Engineering and Research, KCC Institute of Technology & Mangement, Veer Bahadur Singh Purvanchal University, Anand Engineering College
0000-0002-5174-5542
About
Dr. Anil Kumar Yadav has received his Ph.D. degree from VBS Purvanchal University, India in 2008. His main area of research is Cosmology and Relativity and currently working on the theoretical aspects of Dark Energy and Modified Theory of Gravity. He has already published around 100 research papers in these areas of research in journals of national and international repute. He has conducted several academic and scientific events in the department. He has become the member of scientific advisory committee of national and international academic events. He is also a Visiting Associate of The Institute of Mathematical Sciences, Chennai, India. At the same he is also active in academic administration like: Head of the Department, Dean and Principal from August 2015 - July 2018, August 2018 - July 2021 and August 2021 - Till date respectively.
Employment
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United College of Engineering and Research Associate Professor2015 - Present
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KCC Institute of Technology & Mangement Associate Professor2014 - 2015
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Anand Engineering College Assistant Professor2008 - 2014
Education
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Veer Bahadur Singh Purvanchal University Ph.D2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (169)
- Hubble parameter analysis of f(R,Σ,T) gravity: Confronting theory with recent data Save
- Constraining power law entropy corrected holographic dark energy model with recent observational data Save
- Constraining Bianchi type-I universe in f(Q) gravity by Bayesian and deep learning methods Save
- Effective ΛCDM model emerging from f(Q, T) under a special EOS limit in symmetric cosmology with Bayesian and ANN observational constraints Save
- Cosmological implications of the Gong–Zhang parameterization in rastall gravity: A deep learning and observational study Save
- Constraining Bianchi type-I cosmology in f(R,T) gravity with observational data: A Bayesian and ANN-based approach Save
- Model-independent reconstruction and observational diagnostics of f(𝒯,ℬ) gravity Save
- Doppler Spectra for Stationary and Dynamic Ultrasonic Fields Save
- Power law entropy corrected holographic dark energy model with a normalized cubic parametrization of the Hubble parameter and observational constraints Save
- Constraining entropy and temperature of the universe from recent OHD and Pantheon plus sample Save