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Dr. Nidhin Prabhakar T. V.

Assistant Professor, Department of Computer Science and Engineering, School of Computing, Bengaluru.

Qualification: B. Tech., M.Tech., Ph.D
tv_nidhin@blr.amrita.edu
Research Interest: Image processing, Machine learning, Deep learning, Remote sensing, Computer vision, Virtual Reality/Artificial Reality

Bio Publications Research Scholars
Bio

Dr. Nidhin Prabhakar T. V. is currently serving as an Assistant professor in the Department of Electronics and Communication Engineering, School of Engineering, Bengaluru. He has completed his Ph.D from the Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore. He has done M.Tech in Remote Sensing and Wireless Sensor Networks from the Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore. He has completed B.Tech in Electrical and Electronics Engineering from the Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri. He is a reviewer of Neural Processing Letters (NEPL), Springer.

Publications

Conference Paper

Year : 2022

Comparative Study of Cancer Classification by Analysis of RNA-seq Gene Expression Levels

Cite this Research Publication : Amruth A, Ramanan R, Rhea Paul, Sarada Jayan, Amrita Thakur, Nidhin Prabhakar Tv "Comparative Study of Cancer Classification by Analysis of RNA-seq Gene Expression Levels", 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Publisher : IEEE

Year : 2016

Empirical wavelet transform for improved hyperspectral image classification

Cite this Research Publication : Dr. Nidhin Prabhakar T. V. and Geetha P., “Empirical Wavelet Transform for Improved Hyperspectral Image Classification”, in Intelligent Systems Technologies and Applications, Cham, 2016, vol. 384, pp. 393-401.

Publisher : Intelligent Systems Technologies and Applications, Springer International Publishing,

Journal Article

Year : 2017

Two-dimensional empirical wavelet transform based supervised hyperspectral image classification

Cite this Research Publication : Dr. Nidhin Prabhakar T. V. and Dr. Geetha Srikanth, “Two-dimensional empirical wavelet transform based supervised hyperspectral image classification”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 133, pp. 37-45, 2017.

Publisher : ISPRS Journal of Photogrammetry and Remote Sensing

Year : 2016

Hyperspectral image classification improved with ELRMA denoising

Cite this Research Publication : G. Swamynadhan, Dr. Nidhin Prabhakar T. V., and Dr. Soman K. P., “Hyperspectral image classification improved with ELRMA denoising”, International Journal of Control Theory and Applications, vol. 9, pp. 4603-4609, 2016.

Publisher : International Journal of Control Theory and Applications.

Year : 2016

Aerial image classification using regularized least squares classifier

Cite this Research Publication : S. Chandran, Sajith Variyar V. V., Dr. Nidhin Prabhakar T. V., and Dr. Soman K. P., “Aerial image classification using regularized least squares classifier”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 889-895, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2013

Performance evaluation of statistical andgeometrical algorithms for spectral unmixing of hyperspectraldata

Cite this Research Publication : Bijitha S. R., Dr. Soman K. P., Dr. Nidhin Prabhakar T. V., and P., G., “Performance evaluation of statistical andgeometrical algorithms for spectral unmixing of hyperspectraldata”, International journal of engineering research and technology, vol. 2, 2013.

Publisher : International journal of engineering research and technology

Year : 2013

Performance analysis of minimum volume based geometrical approaches for spectral unmixing

Cite this Research Publication : Bijitha S. R., Dr. Geetha Srikanth, Dr. Nidhin Prabhakar T. V., and Dr. Soman K. P., “Performance analysis of minimum volume based geometrical approaches for spectral unmixing”, International Journal of Science, Engineering and Technology Research (IJSETR) , vol. 2, no. 7, 2013.

Publisher : International Journal of Science, Engineering and Technology Research (IJSETR)

Conference Proceedings

Year : 2015

Spatial preprocessing based multinomial logistic regression for hyperspectral image classification

Cite this Research Publication : Dr. Nidhin Prabhakar T. V., Xavier G., Dr. Geetha Srikanth, and Dr. Soman K. P., “Spatial Preprocessing based Multinomial Logistic Regression for Hyperspectral Image Classification”, Procedia Computer Science, 2015.

Publisher : Elsevier

Year : 2014

Deep model for classification of hyperspectral image using restricted Boltzmann machine

Cite this Research Publication : Midhun EM, Sarath R Nair, Nidhin PTV, Sachin Kumar S, Deep Model for Hyperspectral Image Classification using Restricted Boltzman Machines, International Conference on Interdisciplinary Advances in Applied Computing, ACM-Sig Conference, 2014 (Scopus)

Publisher : ACM-Sig Conference

Year : 2012

Comparative study of recent compressed sensing methodologies in astronomical images

Cite this Research Publication : Nidhin PTV, Hemanth VK, Sachin Kumar S, KP Soman, Arun S, Comparative Study of Recent Compressed Sensing Methodologies in Astronomical Images, Eco-friendly Computing and Communication Systems Communication in Computer and Information Science (Springer), Vol 305, pp 108-116, 2012 (Scopus)

Publisher : Communications in Computer and Information Science

Research Scholars

1. Mr. Murugan G
2. Ms. Kusuma J

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