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Dr. Lavanya R.

Associate Professor, Electronics and Communication Engineering, School of Engineering, Coimbatore

Qualification: M.E, Ph.D
r_lavanya@cb.amrita.edu
Ph: +91 9865816977
Dr. Lavanya R.'s Google Scholar Profile
Research Interest: Artificial Intelligence, Biomedical Image Processing, Computer Communication, Digital Communication, Pattern Recognition and Soft Computing, Signal Processing

Bio Publications
Bio

Dr. Lavanya R. currently serves as Associate Professor at department of Electronics and Communication Engineering, School of Engineering, Coimbatore Campus. She completed her B.E. degree in Electronics and Communication Engineering from Kumaraguru College of Technology in 2001 and M.E.in Applied Electronics from Coimbatore Institute of Technology in 2005. She earned her Ph.D. degree from Anna University, Chennai, in April 2015. Her Ph.D. thesis was on Computer Aided Diagnosis of Breast Cancer. Before joining Amrita, she worked as a lecturer in the department of ECE at Coimbatore Institute of Technology during the period 2001-2004. Her research areas of interest include Signal Processing, Biomedical Image processing, Pattern Recognition and Soft Computing. She is currently working on Computer Aided Diagnosis of Diabetic Retinopathy. She is a member of the Institution of Electronics and Telecommunication Engineers, a professional body.

 

Publications

Journal Article

Year : 2021

Fault detection in satellite power system using convolutional neural network

Cite this Research Publication : Dr. Lavanya R., Devi, N., and Ganesan, M., “Fault detection in satellite power system using convolutional neural network”, Telecommunication Systems, vol. 76, pp. 1-7, 2021.

Publisher : Telecommunication Systems

Year : 2021

A Deep Learning Approach to Fault Detection in Satellite Power System using Gramian Angular Field

Cite this Research Publication : Ganesan and Dr. Lavanya R., “A Deep Learning Approach to Fault Detection in Satellite Power System using Gramian Angular Field”, International Journal of Engineering Systems Modelling and Simulations (Accepted), 2021.

Publisher : International Journal of Engineering Systems Modelling and Simulations

Year : 2021

Ensemble of density-specific experts for mass characterization in mammograms

Cite this Research Publication : D. Vijayan and Dr. Lavanya R., “Ensemble of density-specific experts for mass characterization in mammograms”, Signal, Image and Video Processing, pp. 1-9, 2021.

Publisher : Signal, Image and Video Processing

Year : 2020

Model for predictive maintenance strategy in medical equipment’s

Cite this Research Publication : A. Krishnan and Dr. Lavanya R., “Model for predictive maintenance strategy in medical equipment’s”, Journal of Advanced Research in Dynamical and Control Systems, vol. 12, pp. 1067-1071, 2020.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2020

Hybrid Local Descriptor for Improved Detection of Masses in Mammographic CAD Systems

Cite this Research Publication : D. Vijayan and Dr. Lavanya R., “Hybrid Local Descriptor for Improved Detection of Masses in Mammographic CAD Systems”, International Journal of Advanced Intelligence Paradigms, Inderscience (Accepted), 2020.

Publisher : International Journal of Advanced Intelligence Paradigms, Inderscience

Year : 2020

Performance Assessment of EyeNet Model in Glaucoma Diagnosis

Cite this Research Publication : G. Suguna and Dr. Lavanya R., “Performance Assessment of EyeNet Model in Glaucoma Diagnosis”, Pattern Recognition and Image Analysis, Springer. (Accepted), 2020.

Publisher : Springer

Year : 2019

Performance comparison of pre-trained deep neural networks for automated glaucoma detection

Cite this Research Publication : M. Sushil, Suguna, G., Dr. Lavanya R., and M. Devi, N., “Performance comparison of pre-trained deep neural networks for automated glaucoma detection”, Lecture Notes in Computational Vision and Biomechanics, vol. 30, pp. 631-637, 2019.

Publisher : Springer Netherlands

Year : 2018

Enhanced Empirical Wavelet Transform for Denoising of Fundus Images

Cite this Research Publication : A. C. Nair and Dr. Lavanya R., “Enhanced Empirical Wavelet Transform for Denoising of Fundus Images”, Communications in Computer and Information Science, vol. 837, pp. 116-124, 2018.

Publisher : Springer Verlag

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

Change Detection In Mammogram Images Using Fuzzy C- Means Clustering

Cite this Research Publication : R. M. Kirubaa, Dr. Lavanya R., Kotwal, N. P., and Vijayan, D., “Change Detection In Mammogram Images Using Fuzzy C- Means Clustering”, International Journal of Applied Engineering Research, vol. 10, no. 11, pp. 29825-29834 , 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2014

Multiview mammographic CADx system based on correlation analysis

Cite this Research Publication : Dr. Lavanya R., Nagarajan, N., and M. Nirmala Devi, “Multiview mammographic CADx system based on correlation analysis”, International Journal of Graphics and Image Processing, vol. 4, 2014.

Publisher : International Journal of Graphics and Image Processing

Year : 2014

Information fusion in CAD systems for breast cancer diagnosisusing mammography and ultrasound imaging: A survey

Cite this Research Publication : Dr. Lavanya R. and Nagarajan, N., “Information fusion in CAD systems for breast cancer diagnosisusing mammography and ultrasound imaging: A survey”, Journal of Artificial Intelligence, vol. 7, pp. 113-122, 2014.

Publisher : Asian Network for Scientific Information

Year : 2014

False positive reduction in computer aided detection of mammographic masses using canonical correlation analysis

Cite this Research Publication : Dr. Lavanya R., Nagarajan, N., and M. Devi, N., “False positive reduction in computer aided detection of mammographic masses using canonical correlation analysis”, Journal of Theoretical and Applied Information Technology, vol. 59, pp. 139-145, 2014.

Publisher : Journal of Theoretical and Applied Information Technology

Year : 2014

Comparison of fusion schemes for two-view analysis of breast cancer using mammograms

Cite this Research Publication : Dr. Lavanya R. and Nagarajan, N., “Comparison of fusion schemes for two-view analysis of breast cancer using mammograms”, International Journal of Advanced Computer Technology, vol. 3, 2014.

Publisher : International Journal of Advanced Computer Technology

Year : 2013

Modified Leach Protocol for Wireless Sensor Network

Cite this Research Publication : B. .A.Sabarish and Dr. Lavanya R., “Modified Leach Protocol for Wireless Sensor Network”, International Journal of Computer Applications, vol. 62, pp. 1-5, 2013.

Publisher : International Journal of Computer Applications

Conference Paper

Year : 2020

Root Cause Analysis on the Nature of Breakdown for Computerized Maintenance Management System

Cite this Research Publication : S. B and Dr. Lavanya R., “Root Cause Analysis on the Nature of Breakdown for Computerized Maintenance Management System”, in 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2020.

Publisher : IEEE

Year : 2020

Brain on a-board implementation of Neural Networks

Cite this Research Publication : B. Bhardwaj, S. R., D., Anjali, S., Ganesan, M., and Dr. Lavanya R., “Brain on a-board implementation of Neural Networks”, in 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2020.

Publisher : IEEE

Year : 2019

Arrhythmia classification on ECG using Deep Learning

Cite this Research Publication : A. Rajkumar, Ganesan, M., and Dr. Lavanya R., “Arrhythmia classification on ECG using Deep Learning”, in 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS), Coimbatore, India, 2019.

Publisher : IEEE

Year : 2019

Superpixel based Segmentation for Multilesion Detection in Diabetic Retinopathy

Cite this Research Publication : S. Praveena and Dr. Lavanya R., “Superpixel based Segmentation for Multilesion Detection in Diabetic Retinopathy”, in 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2019.

Publisher : IEEE

Year : 2019

Retrieval driven classification for mammographic masses

Cite this Research Publication : K. Kiruthika, Vijayan, D., and Dr. Lavanya R., “Retrieval driven classification for mammographic masses”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, 2019, pp. 725-729.

Publisher : Institute of Electrical and Electronics Engineers

Year : 2019

Multivariate time-series classification for automated fault detection in satellite power systems

Cite this Research Publication : S. Dheepadharshani, Anandh, S., Bhavinaya, K. B., and Dr. Lavanya R., “Multivariate time-series classification for automated fault detection in satellite power systems”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, 2019, pp. 814-817.

Publisher : Institute of Electrical and Electronics Engineers

Year : 2018

Auto-encoder Based Automated Epilepsy Diagnosis

Cite this Research Publication : V. Sharathappriyaa, Gautham, S., and Dr. Lavanya R., “Auto-encoder Based Automated Epilepsy Diagnosis”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018.

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2018

Selection of Features Using Particle Swarm Optimization for Microaneurysm Detection in Fundus Images

Cite this Research Publication : S. N. Kumar, Dinesh, D., Siddharth, T., Ramkumar, S., Nikhill, S., and Dr. Lavanya R., “Selection of Features Using Particle Swarm Optimization for Microaneurysm Detection in Fundus Images”, in Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, 2018, vol. 2018-January, pp. 140-144.

Publisher : Institute of Electrical and Electronics Engineers Inc

Year : 2018

Improved Microaneurysm Detection in Fundus Images for Diagnosis of Diabetic Retinopathy

Cite this Research Publication : V. Dharani and Dr. Lavanya R., “Improved Microaneurysm Detection in Fundus Images for Diagnosis of Diabetic Retinopathy”, in Advances in Signal Processing and Intelligent Recognition Systems, Cham, 2018.

Publisher : Advances in Signal Processing and Intelligent Recognition Systems, Springer International Publishing, Cham .

Year : 2017

PSO Based Density Classifier for Mammograms

Cite this Research Publication : S. Simon, Dr. Lavanya R., and Vijayan, D., “PSO Based Density Classifier for Mammograms”, in The 16th International Conference on Biomedical Engineering, Singapore, 2017.

Publisher : Springer Singapore

Year : 2016

Mass Characterization in Mammograms using an Optimal Ensemble Classifier

Cite this Research Publication : D. Balachandran and Dr. Lavanya R., “Mass Characterization in Mammograms using an Optimal Ensemble Classifier”, in 2016 IEEE Region 10 Conference (TENCON), 2016.

Publisher : 2016 IEEE Region 10 Conference (TENCON)

Year : 2015

Computer-aided Diagnosis of Breast Cancer by Hybrid Fusion of Ultrasound and Mammogram Features

Cite this Research Publication : Dr. Lavanya R., Nagarajan, N., and M. Devi, N., “Computer-aided Diagnosis of Breast Cancer by Hybrid Fusion of Ultrasound and Mammogram Features”, in Artificial Intelligence and Evolutionary Algorithms in Engineering Systems, New Delhi, 2015, vol. 325, pp. 403–409.


Publisher : Springer India

Conference Proceedings

Year : 2020

A survey on the advancement of ECG classification using deep convolutional neural network

Cite this Research Publication : B. Ashwini, Ganesan, M., and Dr. Lavanya R., “A survey on the advancement of ECG classification using deep convolutional neural network”, Journal of Advanced Research in Dynamical and Control Systems, vol. 12, 5 vol. pp. 1072–1078, 2020.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2018

A Survey on Ballistocardiogram to study the Mechanical Activity of Heart

Cite this Research Publication : M. Ganesan, Dr. Lavanya R., and Sumesh, E. P., “A Survey on Ballistocardiogram to study the Mechanical Activity of Heart”, Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, ICCSP 2017. Institute of Electrical and Electronics Engineers Inc., pp. 0557-0561, 2018.

Publisher : Institute of Electrical and Electronics Engineers Inc.,

Year : 2017

Peak Detection and Feature Extraction for the Diagnosis of Heart Diseases

Cite this Research Publication : Dr. Lavanya R., Swathi, O. N., and Ganesan, M., “Peak Detection and Feature Extraction for the Diagnosis of Heart Diseases”, Proceedings in IEEE International Conference in Computing, Communications and Informatics. 2017.

Publisher : Communications and Informatics

Year : 2014

Identification of Corresponding Lesions from Ipsilateral Mammograms using eigen ROI approach

Cite this Research Publication : D. Pramod, DasariVenkatesh,, VenkataKarthik, J., Raghunathan, R., Kiran, C. S. Sai, and Dr. Lavanya R., “Identification of Corresponding Lesions from Ipsilateral Mammograms using eigen ROI approach”, International Journal of Computational Intelligence and Informatics. 2014.

Publisher : International Journal of Computational Intelligence and Informatics

Year : 2014

Handling Missing Data In Ipsilateral Mammograms For Computer Aided Breast Cancer Diagnosis

Cite this Research Publication : Y. Anjana, .Vinutna, G., Kalimatha, N., Namrata, B., Abinaya, A., and Dr. Lavanya R., “Handling Missing Data In Ipsilateral Mammograms For Computer Aided Breast Cancer Diagnosis”, International Journal of Scientific & Engineering Research, vol. 5. 2014.

Publisher : International Journal of Scientific Engineering Research

Year : 2012

Computer Aided Detection and Diagnosis of Masses in Dense Tissue Breasts

Cite this Research Publication : Dr. Lavanya R., Sunith, G. N., Pradeep, S., DivyaBonagiri,, Anusha, A., and AbhipsaSamantra, “Computer Aided Detection and Diagnosis of Masses in Dense Tissue Breasts”, Proceedings of International Conference on Information Technology, Electronics & Communications. 2012.

Publisher : Proceedings of International Conference on Information Technology, Electronics Communications

Year : 2010

High Speed, Low Complexity, Folded, Polymorphic Wavelet Architecture Reconfigurable Hardware

Cite this Research Publication : Dr. Lavanya R. and .Saranya, B., “High Speed, Low Complexity, Folded, Polymorphic Wavelet Architecture Reconfigurable Hardware”, International Journal of Advanced Science and Technology, vol. 18. 2010.

Publisher : International Journal of Advanced Science and Technology

Year : 2009

Design of Multiple Description Image Coding System Applying Directional Lifting Based Transform

Cite this Research Publication : P. .L.Chidambaram, .B.Ganeshkumar, R., .Naren, M., .Raghuram, K., .Youvarajah, K., and Dr. Lavanya R., “Design of Multiple Description Image Coding System Applying Directional Lifting Based Transform”. 2009.

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