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Dr-Manju-B-R_associate-professor_maths_arts_amritauniversity_amritapuri

Dr. Manju B. R.

Associate Professor, Mathematics, School of Physical Sciences, Amritapuri

Qualification: Ph.D
manjubr@am.amrita.edu

Bio Publications Qualification Experience Student Guidance Workshops Attended
Bio

Dr. Manju B. R currently serves as Associate Professor in the Department of Mathematics, School of Arts & Sciences, Amritapuri.

Publications

Journal Article

Year : 2020

A Performance based comparative study on the Modified version of Empirical Mode Decomposition with traditional Empirical Mode Decomposition

Cite this Research Publication : Manju B. R. and Rema, P., “A Performance based comparative study on the Modified version of Empirical Mode Decomposition with traditional Empirical Mode Decomposition”, Procedia Computer Science, vol. 171, pp. 2469-2475, 2020.

Publisher : Procedia Computer Science

Year : 2020

Implementation of Random Projection Filter And Decision Tree J48 For Lung Cancer Detection

Cite this Research Publication : Manju B. R. and R., K. K., “Implementation of Random Projection Filter And Decision Tree J48 For Lung Cancer Detection”, ARPN Journal of Engineering and Applied Sciences, vol. 15, no. 3, 2020.

Publisher : ARPN Journal of Engineering and Applied Sciences

Year : 2020

Comparative Study Of Datamining Algorithms For Diagnostic Mammograms Using Principal Component Analysis And J48

Cite this Research Publication : Manju B. R. and S., A. V., “Comparative Study Of Datamining Algorithms For Diagnostic Mammograms Using Principal Component Analysis And J48”, ARPN Journal of Engineering and Applied Sciences, vol. 15, no. 3, 2020.

Publisher : ARPN Journal of Engineering and Applied Sciences

Year : 2020

ECG Denoising Using Wiener Filter and Kalman Filter

Cite this Research Publication : Manju B. R. and M.R., S., “ECG Denoising Using Wiener Filter and Kalman Filter”, Third International Conference on Computing and Network Communications (CoCoNet'19), vol. 171, pp. 273 - 281, 2020.

Publisher : Third International Conference on Computing and Network Communications (CoCoNet'19)

Year : 2019

Controlling the growth rate of cancer cell.

Cite this Research Publication : S. Kumar Kashyap, Jain, S., Satheesh, A., Manju B. R., and Jain, V. Kumar, “Controlling the growth rate of cancer cell.”, J Exp Ther Oncol, vol. 13, no. 1, pp. 77-78, 2019.

Publisher : J Exp Ther Oncol

Year : 2016

Parameterization of Wavelet Basis in l2(Zn)

Cite this Research Publication : Manju B. R., “Parameterization of Wavelet Basis in l2(Zn) ”, International Journal of Pharmacy & Technology, vol. 8, no. 4, pp. 22440-22452 , 2016.

Publisher : International Journal of Pharmacy & Technology,

Year : 2012

Optimizing the parameters of wavelets for pattern matching using GA

Cite this Research Publication : Manju B. R., Rajan, A. R., and Sugumaran, V., “Optimizing the parameters of wavelets for pattern matching using GA”, Journal of Advanced Research in Engineering and Technology’(IJRET), vol. 3, pp. 75–85, 2012.

Publisher : Journal of Advanced Research in Engineering and Technology

Year : 2011

New wavelet feature for fault diagnosis of roller bearings using decision tree

Cite this Research Publication : Manju B. R., Rajan, A. R., and Sugumaran, V., “New wavelet feature for fault diagnosis of roller bearings using decision tree”, Journal of Mechanical Engineering and Technology, vol. 2, pp. 70–84, 2011.

Publisher : Journal of Mechanical Engineering and Technology

Year : 2010

Wavelet design for fault diagnosis of roller bearings using continuous wavelet transforms

Cite this Research Publication : Manju B. R., Rajan, A. R., and Sugumaran, V., “Wavelet design for fault diagnosis of roller bearings using continuous wavelet transforms”, International Journal of Mechanical Engineering & Technology (IJMET), vol. 1, no. 1, pp. 38–48, 2010.

Publisher : IJMET

Conference Paper

Year : 2020

A Survey of Pre-processing Techniques Using Wavelets and Empirical-Mode Decomposition on Biomedical Signals

Cite this Research Publication : P. M. Warrier, Manju B. R., and Sreedharan, R. P., “A Survey of Pre-processing Techniques Using Wavelets and Empirical-Mode Decomposition on Biomedical Signals”, in Inventive Communication and Computational Technologies, Singapore, 2020.

Publisher : Inventive Communication and Computational Technologies

Year : 2019

Classification of Cardiac Arrhythmia of 12 Lead ECG Using Combination of SMOTEENN, XGBoost and Machine Learning Algorithms

Cite this Research Publication : Manju B. R. and Nair, A. R., “Classification of Cardiac Arrhythmia of 12 Lead ECG Using Combination of SMOTEENN, XGBoost and Mach

Publisher : 2019 9th International Symposium on Embedded Computing and System Design

Conference Proceedings

Year : 2023

Ligand-based virtual screening of molecular compounds in drug discovery using GCAN fingerprint and ensemble Machine learning algorithm

Cite this Research Publication : R Ani, O S Deepa and B. R. Manju, Ligand-based virtual screening of molecular compounds in drug discovery using GCAN fingerprint and ensemble Machine learning algorithm., Computer System Science and Engineering, 2023.

Year : 2022

Performance Analysis of Wiener filter in Restoration of Covid-19 Chest X-Ray Images, Ultrasound Images and Mammograms

Cite this Research Publication : Sneha, M. R., and B. R. Manju. "Performance Analysis of Wiener filter in Restoration of Covid-19 Chest X-Ray Images, Ultrasound Images and Mammograms." 2022 IEEE World Conference on Applied Intelligence and Computing. IEEE, 2022

Publisher : IEEE

Year : 2021

Adapted wavelets by parameterization of wavelet bases for estimates of feature extraction of signals

Cite this Research Publication : Manju, B. R., and Athul Rajendran. "Adapted wavelets by parameterization of wavelet bases for estimates of feature extraction of signals." IOP Conference Series: Materials Science and Engineering. Vol. 1012. No. 1. IOP Publishing, 2021.

Publisher : IOP Publishing

Year : 2021

A RFE- Optimised Method for Predicting the Malignancy of the Breast Cancer

Cite this Research Publication : Nair, Anju R., and B. R. Manju. "A RFE-Optimised Method for Predicting the Malignancy of the Breast 13. Cancer." 2021 4th Biennial International Conference on Nascent Technologies in Engineering. IEEE, 2021

Publisher : IEEE

Year : 2021

Efficient multi-level lung cancer prediction model using support vector machine classifier

Cite this Research Publication : Manju, B. R., V. Athira, and Athul Rajendran. "Efficient multi-level lung cancer prediction model using support vector machine classifier." IOP Conference Series: Materials Science and Engineering. Vol. 1012. No. 1. IOP Publishing,

Publisher : IOP

Book Chapter

Year : 2020

Optimized Prediction Model to Diagnose Breast Cancer Risk and Its Management

Cite this Research Publication : A. Vinod and Manju B. R., “Optimized Prediction Model to Diagnose Breast Cancer Risk and Its Management”, in Inventive Communication and Computational Technologies, vol. 89, Springer, 2020, pp. 503–515.

Publisher : Inventive Communication and Computational Technologies, Springer

Qualification
  • BSc : 1988 , Mar Ivanios College, Trivandrum
  • MSc : 1991, Department of Mathematics University of Kerala
  • MPhil: 1993, Department of Mathematics University of Kerala
  • PhD : 2015, Department of Mathematics University of Kerala
Experience
SL.No Name of the Organisation Period of Service Designation Job Description
1. Amrita Vishwa Vidyapeetham 03/11/1994 to Teaching
9/05/2008 Lecturer
2. Sree Buddha College of Engineering, 2/06/2008 to Teaching
14/06/2011 Assistant Professor
3. VKCET VIT VELLORE 20/06/2011 to Teaching
30/04/2013 Associate Professor
31/05/2017
Student Guidance

UG  Level

  • Computational Graphical Drug Design Model

PG Level

  • Design of Pathological ECG Signal Models based on Fourier Series
  • Classification of Cardiac Arrhythmia of 12 Lead ECG using combinations of SMOOTEENN, XGBoost and Machine Learning Algorithms
  • ECG Denoising using Weiner Filter and Kalman Filter
  • An ECG signal classification approach using PCA
  • Machine Learning Models in Cancer Detection and Diagnosis
  • Application of Machine Learning Algorithms in early detection for Doctor Diagnosis in Lung Cancer

Ph.D. Level

  • Impact of genetic mutations and microenvironment in the subclonal evolution of pancreatic ductal adenocarcinoma
Workshops Attended
  • Unfolding Deep Learning
  • Demystifying Machine Learning
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