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Dr. Palanisamy T.

Professor, Department of Mathematics, School of Engineering, Coimbatore

Qualification: MPhil, MSc, Ph.D
t_palanisamy@cb.amrita.edu
Dr. Palanisamy T's Google Scholar Profile
Scopus ID
Research Interest: Regression Analysis, Signal Processing and Image Processing Using Wavelet Techniques, Sparse Representation Theory

Bio

Dr. T. Palanisamy  joined Department of Mathematics of Amrita Institute of Technology, Coimbatore in 2002 and presently Professor in Department of Mathematics of Amrita School of Engineering, Amritanagar Coimbatore. He obtained his Doctoral Degree from Amrita Vishwa Vidyapeetham, Coimbatore. His area of research is the estimation of variance function in heteroscedastic regression models.  His research interest also includes regression analysis, signal processing and image processing using wavelet techniques and sparse representation theory. He has delivered number of lectures in FDP/Workshops/Seminars. He has organized an International Conference on Applications of Fractals and Wavelets in January 2015.

Conference Organized

International Conference on Applications of Fractals and Wavelets – ICAFW-2015  during  January 10-11, 2015.

Guest Lectures Delivered

  1. Presented a seminar on  “ MATLAB” to the Faculty and Post Graduate students at Arungarai Amman College of Arts and Science, Chinnadharapuram, Karur on January 2, 2008.
  2. Delivered a talk on  “Getting Started With MATLAB” to the Faculty and Post Graduate students at Tiruppur Kumaran College of Arts and Science, Tiruppur  on January 10, 2008.
  3. Delivered a talk on  “Random Variables and Discrete Distributuions” as a resource person in a Faculty Development Program  at Tamilnadu College of Engineerig, Coimbatore  on January 23, 2008.
  4. Gave training  on  “Getting Started With MATLAB” to the Faculty in one day Workshop at Karpagam University, Coimbatore  on  December 22, 2009.
  5. Delivered a talk on  “Transformations of Random Variable” as a resource person in a Faculty Development Program at  Kathir College of Engineering, Coimbatore on January 25, 2012
  6. Delivered a talk on  “LINEAR ALGEBRA AN INSIGHT INTO FOURIER ANALYSIS” as a resource person in a Faculty Development Program at  KSR College of Engineering, Tiruchengode on November 22, 2014
  7. Delivered a talk on “LINEAR ALGEBRA AN INSIGHT INTO FOURIER ANALYSIS” as a resource person in a Faculty Development Program at Karpagam University, Coimbatore on June 4, 2015.
  8. Delivered a talk on  “Partial Differentiation and Differential Equations” as a resource person at  CIT, Coimbatore on July 6, 2015.
  9. Delivered a talk on “Covariance, Correlation, Regression and Transformation of Random variables” as a resource person in a UGC sponsored Faculty Development Program at  CIT, Coimbatore on September 2, 2015.
  10. Delivered a talk on  “Multiple Integrals” as a resource person at  Kumarasamy Engineering College,  Karur on September 2, 2015.
  11. Delivered a talk on  “Linear Algebra – An Insight into Wavelets” as a resource person in a UGC sponsored QIP at  CIT, Coimbatore on December 5, 2015.
  12. Delivered a talk on  “Statistics and Linear Algebra – A walk together” as a resource person at  Nirmala College, Coimbatore, Coimbatore on February 5, 2016.
  13. Delivered a talk on  “Fourier’s Influencing Mathematics by Applications”as a resource person in a Faculty Development Program under Technical Education Quality Improvement Programme at PSG College of Technology, Coimbatore on July 8, 2016.
  14. Delivered a talk on  “Wavelet Galerkin Methods for Differential Equations” as a resource person in a Workshop on Recent Trends in Differential Equations and Its Applications at CIT, Coimbatore on August 6, 2016.
  15. Delivered a talk on  “Regression- A Possibilty Beyond Inconsistency” to the Faculty and PG students of Nirmala College for Women, Coimbatore on August 29, 2016.
  16. Delivered a talk on  “ODE – A Bag of Tricks !” to the Faculty and students of Bannari Amman Institute of Technology, Sathyamangalam on September 14, 2016.
  17. Delivered a talk on  “Covaraiance, Correlation and Linear Regression”as a resource person in a Faculty Development and Training Program for Quality Improvement at Sri Ramakrishna Engineering College, Coimbatore on November 24, 2016.
  18. Delivered a talk on  “Google Matrix” to the Faculty and students of PSGR Krishnammal College for Women, Coimbatore on December 12, 2016.
  19. Delivered an Invited Lecture on   “Wavelet Galerkin Methods for Differential Equations”in a State Level Conference on Applications of Mathematics at VHNSN College, Virudhunagar on December 17, 2016.
  20. Delivered an Invited Lecture on   “Variance Function Estimation In Heteroscedastic Regression Models” in a National Level Conference on Current Scenario in Pure And Applied Mathematics at Kongunadu Arts and Science College, Coimbatore on December 23, 2016.

 

 

Publications

Journal Article

Year : 2023

Two-stage variational mode decomposition approach to enhance the estimates of variance function

Cite this Research Publication : Dhanushya S., Palanisamy T. "An Investigation on Variational Mode Decomposition for Synchronization of Power Converters in Future Power Grids", Communications in Statistics: Simulation and Computation, 2021

Year : 2023

Invariance Of Geometry Of Planar Curves Using Atypical Wavelet Coefficients

Cite this Research Publication : D Vignesh, T Palanisamy "Invariance Of Geometry Of Planar Curves Using Atypical Wavelet Coefficients", Journal of Applied Science and Engineering, 2022

Year : 2023

CycleGAN Implementation on Cross-Modality Transfer Between Magnetic Resonance Image (MRI) and Computed Tomography (CT) Images

Cite this Research Publication : Roy, Priyesh Kumar, Santhanam, Misra, Bhanu Pratap, Sen, Abhijit, Palanisamy T. Gautam, Sima, Krishna Murthy S.V.S.S.N.V.G. Arya, Mahima "CycleGAN Implementation on Cross-Modality Transfer Between Magnetic Resonance Image (MRI) and Computed Tomography (CT) Images", 7th International Conference on Data Management, Analytics and Innovation, ICDMAI 2023

Year : 2023

Evolving Malware Variants as Antigens for Antivirus Systems

Cite this Research Publication : Shunmuga Velayutham Ritwik Murali, Palanisamy Thangavel "Evolving Malware Variants as Antigens for Antivirus Systems" Expert Systems with Applications, 2023

Year : 2022

A Study on the Effect of Thresholding Enhancement for the Classification of Texture Images

Cite this Research Publication : Sony, Osheima, Palanisamy T. Paramanathan P. "A Study on the Effect of Thresholding Enhancement for the Classification of Texture Images" Journal of The Institution of Engineers (India): Series BVolume 103, Issue 1, Pages 29 - 37February 2022

Year : 2021

A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images

Cite this Research Publication : Gokul R., Gokul R, Nirmal A, Dinesh Kumar G, Karthic S. "A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images", Communications in Computer and Information Science, Volume 1377 CCIS, Pages 50 - 62, 2021

Year : 2021

An Investigation on Variational Mode Decomposition for Synchronization of Power Converters in Future Power Grids

Cite this Research Publication : Warrier, Bhadra R., Vijayakumari A., Palanisami T., Kottayil, Sasi K. "An Investigation on Variational Mode Decomposition for Synchronization of Power Converters in Future Power Grids", Arabian Journal for Science and EngineeringVolume 46, Issue 10, Pages 9553 - 9572October 2021

Year : 2020

Numerical solution of Blasius viscous flow problem using wavelet Galerkin method

Cite this Research Publication : Ganga, Sai, Panthangi, Murali Krishna, Palanisamy T. "Numerical solution of Blasius viscous flow problem using wavelet Galerkin method", International Journal for Computational Methods in Engineering Science and MechanicsVolume 21, Issue 3, Pages 134 - 1403 May 2020

Year : 2016

A Comparative Study on Decomposition of Test Signals Using Variational Mode Decomposition and Wavelets

Cite this Research Publication : A. S, Sriram, A., and Dr. Palanisamy T., “A Comparative Study on Decomposition of Test Signals Using Variational Mode Decomposition and Wavelets”, International Journal on Electrical Engineering and Informatics, vol. 8, no. 4, pp. 885-895, 2016.

Publisher : International Journal on Electrical Engineering and Informatics.

Year : 2016

Smoothing the Difference-based Estimates of Variance Using Variational Mode Decomposition

Cite this Research Publication : Dr. Palanisamy T., “Smoothing the Difference-based Estimates of Variance Using Variational Mode Decomposition”, Communications in Statistics - Simulation and Computation , 2016

Publisher : Communications in Statistics - Simulation and Computation

Year : 2016

Wind speed forecasting based on statistical Auto Regressive Integrated Moving Average (ARIMA) method

Cite this Research Publication : Aa Vishnupriyadharshini, Vanitha, Va, and Dr. Palanisamy T., “Wind speed forecasting based on statistical Auto Regressive Integrated Moving Average (ARIMA) method”, International Journal of Control Theory and Applications, vol. 9, pp. 7681-7690, 2016.

Publisher : International Journal of Control Theory and Applications, Serials Publications.

Year : 2015

Hardware Architecture for Variational Mode Decomposition for Breast Cancer Feature Extraction on Ultrasound Images

Cite this Research Publication : G. Menon, Dr. Palanisamy T., and Dr. Lavanya R., “Hardware Architecture for Variational Mode Decomposition for Breast Cancer Feature Extraction on Ultrasound Images”, International Journal of Applied Engineering Research, vol. 10, no. 7, pp. 16343-16354, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

A wavelet-based hybrid approach to estimate variance function in heteroscedastic regression models

Cite this Research Publication : Dr. Palanisamy T. and Dr. Ravichandran J., “A wavelet-based hybrid approach to estimate variance function in heteroscedastic regression models”, Statistical Papers, vol. 56, pp. 911-932, 2015.

Publisher : Statistical Papers

Year : 2015

Variance Estimation in Heteroscedastic Models by Undecimated Haar Transform

Cite this Research Publication : Dr. Palanisamy T. and Dr. Ravichandran J., “Variance Estimation in Heteroscedastic Models by Undecimated Haar Transform”, Communications in Statistics-Simulation and Computation, vol. 44, pp. 1532–1544, 2015.

Publisher : Communications in Statistics-Simulation and Computation

Year : 2015

Smoothing noisy data using variational mode decomposition

Cite this Research Publication : Dr. Palanisamy T., “Smoothing noisy data using variational mode decomposition”, International Journal of Applied Engineering Research, vol. 10, pp. 26579-26586, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2014

Estimation of variance function in heteroscedastic regression models by generalized coiflets

Cite this Research Publication : Dr. Palanisamy T. and Dr. Ravichandran J., “Estimation of variance function in heteroscedastic regression models by generalized coiflets”, Communications in Statistics: Simulation and Computation, vol. 43, pp. 2213-2224, 2014.

Publisher : Communications in Statistics: Simulation and Computation

Year : 2012

Nonparamteric Regression Curve Estimation Using Generalized Coiflets

Cite this Research Publication : Dr. Ravichandran J. and Dr. Palanisamy T., “Nonparamteric Regression Curve Estimation Using Generalized Coiflets”, Bulletin of Calcutta Mathematical Society, vol. 104, no. 2, pp. 139-146, 2012.

Publisher : Bulletin of Calcutta Mathematical Society

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