Dr. Ramesh Naidu Annavarapu

Associate Professor
Pondicherry University, India

Highest Degree
Ph.D. in Physics from University of Hyderabad, India

My URL
https://livedna.org/91.20418

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Biography

A. Ramesh Naidu is an Assistant Professor of Physics from Pondicherry University with 15 years of teaching experience. He obtained his Ph. D. degree from University of Hyderabad. He worked as a Post-Doctoral Researcher at the Neuroscience Center, University of Helsinki. His field of research is in Computational Physics and Cognitive Neuroscience.

Area of Interest:

Physics
Computational Neuroscience
Computational Physics
Mathematical Physics
Theoretical Modeling

Selected Publications

  1. Patel, P., R. Raghunandan and R.N. Annavarapu, 2021. EEG-based human emotion recognition using entropy as a feature extraction measure. Brain Inf., Vol. 8. 10.1186/s40708-021-00141-5.
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  2. Goray, M. and R.N. Annavarapu, 2021. The energy of a photon, on the geometrical perspective. Optik, Vol. 248. 10.1016/j.ijleo.2021.168076.
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  3. Goray, M. and R.N. Annavarapu, 2020. Rest mass of photon on the surface of matter. Results Phys., Vol. 16. 10.1016/j.rinp.2019.102866.
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  4. Goray, M. and R.N. Annavarapu, 2020. An alternative approach of the dark energy beyond the equation of state. Rep. Adv. Phys. Sci., Vol. 4. 10.1142/s2424942420500097.
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  5. Goray, M. and R.N. Annavarapu, 2020. A novel way of understanding the linear momentum of photon. Optik, Vol. 223. 10.1016/j.ijleo.2020.165488.
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  6. Vadla, V.K. and R.N. Annavarapu, 2019. EEG correlates of visual signal processing: Spectral decomposition using ICA. Int. J. Recent Technol. Eng., 8: 582-586.
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  7. Annavarapu, R.N., S. Kathi and V.K. Vadla, 2019. Non-invasive imaging modalities to study neurodegenerative diseases of aging brain. J. Chem. Neuroanat., 95: 54-69.
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  8. Annavarapu, R.N., 2016. On the memory storage capacity of Hopfield networks using Lowdin orthogonalizations. Int. J. Adv. Sci. Technol. Eng. Manage. Sci., 2: 18-23.

  9. Annavarapu, R.N., 2016. Investigations on the complex decision making process using choice based probabilistic models. Int. J. Adv. Inform. Sci. Technol., Vol. 49. .
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  10. Annavarapu, R.N., 2016. Critical studies on the specific heat of high temperature cuprate oxide superconductors. Int. J. Adv. Res. Phys. Sci., 3: 1-8.

  11. Annavarapu, R.N., 2016. Computational analysis of microarray data using Lo wdin orthogonalization methods. Int. J. Applied Sci. Math., 3: 88-92.
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  12. Annavarapu, R.N. and S. Kathi, 2016. Cognitive disorders in children associated with urban vehicular emissions. Environ. Pollut., 208: 74-78.
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  13. Annavarapu, R.N. and V. Srivastava, 2014. Zeros and asymptotic limits of Löwdin orthogonal polynomials with a unified view. Applied Comput. Math., 3: 57-62.

  14. Machado, S., L.F. Almada and R.N. Annavarapu, 2013. Progress and prospects in EEG-based brain-computer interface: Clinical applications in neurorehabilitation. J. Rehabilitation Robotics, 1: 28-41.

  15. Annavarapu, R.N., 2013. Singular value decomposition and the centrality of Lowdin orthogonalizations. Am. J. Comput. Applied Math., 3: 33-35.
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  16. Srivastava, V. and A.R. Naidu, 2006. New classes of orthogonal polynomials. Int. J. Quantum Chem., 106: 1258-1266.
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  17. Naidu, A.R. and V. Srivastava, 2004. Lowdin's canonical orthogonalization: Getting round the restriction of linear independence. Int. J. Quantum Chem., 99: 882-888.
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Member since October, 2017