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Dr. Amrutha Veluppal

Assistant Professor, Centre for Computational Engineering and Networking, School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
v_amrutha1@cb.amrita.edu
Google Scholar Profile
Research Interest: Biomedical Image Processing, Physiological Signal Processing, Pattern Recognition, Biomedical Instrumentation, Applied Machine Learning

Bio

Dr. Amrutha Veluppal is an Assistant Professor at Computational Engineering and Networking (CEN), School of Artificial Intelligence Amrita Vishwa Vidyapeetham, Coimbatore. She holds a Ph.D. from the Indian Institute of Technology Madras (IITM) from the Department of Applied Mechanics andBiomedical Engineering. She specializes in medical image analysis, biomedical signal processing, and medical instrumentation, focusing on Alzheimer’s disease diagnosis using neuroimaging techniques. She has extensive teaching experience, including undergraduate coursesand expertise in developing multimodal experimental setups and real-time signal acquisition

Publications

Journal Article

Year : 2022

Detection of Mild Cognitive Impairment using Kernel Density Estimation based texture analysis of the Corpus Callosum in brain MR images

Cite this Research Publication : A. Veluppal, D. Sadhukhan, V. Gopinath, R. Swaminathan,, "Detection of Mild Cognitive Impairment Using Kernel Density Estimation Based Texture Analysis of the Corpus Callosum in Brain MR Images", IRBM, Volume 43, Issue 5, 2022, Pages 340-348

Publisher : Elsevier Masson

Year : 2022

Differentiation of Alzheimer conditions in brain MR images using bidimensional multiscale entropy-based texture analysis of lateral ventricles

Cite this Research Publication : Amrutha Veluppal, Deboleena sadhukhan, Venugopal gopinath, Ramakrishanan swaminathan, "Differentiation of Alzheimer conditions in brain MR images using bidimensional multiscale entropy-based texture analysis of lateral ventricles", Biomedical Signal Processing and Control, Volume 78, 2022, 103974

Publisher : Elsevier

Year : 2021

Automated differentiation of Alzheimer’s condition using Kernel Density Estimation based texture analysis of single slice brain MR images

Cite this Research Publication : Amrutha Veluppal, Deboleena Sadhukhan, Venugopal Gopinath, Ramakrishnan Swaminathan, "Automated differentiation of Alzheimer’s condition using Kernel Density Estimation based texture analysis of single slice brain MR images",

Publisher : De Gruyter

Year : 2019

Optimization of physical parameters for enhanced production of lipase from Staphylococcus hominis using response surface methodology

Cite this Research Publication : Behera, A.R., Veluppal, A. & Dutta, K. Optimization of physical parameters for enhanced production of lipase from Staphylococcus hominis using response surface methodology. Environ Sci Pollut Res 26, 34277–34284 (2019)

Publisher : Springer Berlin Heidelberg

Year : 2018

Generation of MOSFET Switch Operated High Electric Field for Electroporation Application

Cite this Research Publication : Amrutha V, "Generation of MOSFET Switch Operated High Electric Field for Electroporation Application", NIT Rourkela, 2018

Conference Paper

Year : 2023

Alzheimer’s Disease Prediction using Convolutional Neural Network (CNN) with Generative Adversarial Network (GAN)

Cite this Research Publication : N. Boyapati et al., "Alzheimer’s Disease Prediction using Convolutional Neural Network (CNN) with Generative Adversarial Network (GAN)," 2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India, 2023, pp. 1-6, doi: 10.1109/ICDSAAI59313.2023.10452539.

Publisher : IEEE

Book

Year : 2019

Light-fidelity based biosignal transmission

Cite this Research Publication : Pratyush K Patnaik, Suraj K Nayak, Ashirbad Pradhan, V Amrutha, Champak Bhattacharya, Sirsendu S Ray, Kunal Pal, "Light-fidelity based biosignal transmission", Bioelectronics and Medical Devices Pages 1-14, 2019

Publisher : Woodhead Publishing

Qualifications
  • PhD :2018-2023
    Specialization: Biomedical Engineering
    Thesis Title: Analysis of Alzheimer’s conditions using lateral ventricular and corpus callosal textural changes in MR images
  • M.Tech : 2016-2018
    Specialization: Biomedical Engineering
    Thesis Title: Generation of MOSFET Switch Operated High Electric Field for Electroporation Application
Positions
  • Assistant Professor, 2024
  • Assistant Professor, 2023 at SRMIST, Kattankulathur, Chennai
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