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Dr. Sowmya V.

Associate Professor, School of Artificial Intelligence, Coimbatore

Qualification: M.Tech., Ph.D
v_sowmya@cb.amrita.edu
Ph: 9884113652
Orcid ID
Google Scholar Profile
Scopus Author ID
Research Interest: Artificial Intelligence for Healthcare Data Analytics, Machine Learning and Deep Learning Algorithms for Signal and Image Analysis.

Bio Publications Funded Projects Outcome of Internal Seed Funding Professional Experience Professional Achievements Webinars Rendered during COVID 2020-2021 Awards Invited Talks Professional Activities Presentations Ph. D. Guidance/ Co-Guidance Administrative Roles Courses Taught for UG/ PG/ Ph. D.
Bio

Dr. Sowmya V. joined the Center for Computational Engineering and Networking (CEN) in 2011 after completing M. Tech in Remote Sensing and Wireless Sensor Networks from Amrita School of Engineering, Coimbatore. She has about a year of experience as Programmer Analyst at Cognizant Technology Solution, Chennai. She completed Ph.D. in Artificial Intelligence (AI) for Natural Scene Analysis from Amrita Vishwa Vidyapeetham in 2018.Her broad research area is AI for Signal and Image Analysis. The sub-areas of her research interests includeHealthcare and Remote Sensing Data Analysis. Her research focuses on Explainable AI, Discriminative and Generative Models applied for Biomedical Data Analysis, Unmanned Aerial Vehicle (UAV) and Satellite Image Analysis.Her recent research focus ison “Generative AI Models for Multimodal Data Analysis.”

She published her research articles in Q1 journals namely, IEEE Transactions on Engineering Management, IEEE Transactions on Computational Social Systems, Artificial Intelligence Review, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Computers in Biology and Medicine, Digital Signal Processing: A Review, Journal of Environmental Management, etc., She received theresearch seed grant from Amrita Vishwa Vidyapeetham for UAV Image Analysis&from Naval Physical Oceanographic Laboratory (NPOL), Defence Research and Development Organization (DRDO) for the underwater acoustic signal analysis. She received the funding from ICMR, in collaboration with the doctors at Amrita Institute of Medical Sciences, Kochi under “AI for Retinopathy of Prematurity (RoP) Image Analysis”.She is one of the Editorial members in the SCI Indexed journal: Engineering Applications of Artificial Intelligence.

She has an active research collaboration with one of the top 2 % world scientists listed by Sandford University: Dr. Vinayakumar Ravi, Assistant Research Professor at Prince Mohammad Bin Fahd University, Saudi Arabia in AI for Biomedical Data Analysis. She is the recipient of awards namely, “Women in AI”, “NVIDIA Deep Learning Instructor Ambassadorship”, “Best Engineering Teacher”, “Contributor to Student Development”, “Young Women Researcher” and “Outstanding Researcher” and “Amrita Chancellor’s Publication Excellence Award”. Recently, she graduated one Ph.D. scholar in the area “AI for UAV Image Analysis for Biodiversity Applications”, in collaboration with Dr. Ramesh Sivanpillai, Senior Research Scientist, University of Wyoming, United States. As a co-guide, she also graduated one scholar in the area “AI for Parkinson’s Disease Detection Using Multimodal Data.” Under her guidance, one fellow completed her post-doctoral research in “AI for Neurogenerative Disease Analysis”. Currently, she is guiding 2 Ph.D. scholars,and co-guiding 2 Ph.D. scholars. She guided more than 30 M.Tech Projects since 2012 andmore than 20 B.Tech projects since 2021.

Publications

Book Chapter

Year : 2025

Semi Supervised Flood Damage Detection Using Satellite Images

Cite this Research Publication : Manish Nadella, Garapati Venkata Krishna Rayalu, Menta Sai Akshay, S. K. Eswar Sudhan, V. V. Sajith Variyar, V. Sowmya, Ramesh Sivanpillai, Semi Supervised Flood Damage Detection Using Satellite Images, Lecture Notes on Data Engineering and Communications Technologies, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-0451-7_11

Publisher : Springer Nature Singapore

Year : 2025

Unsupervised Representation Learning Approach for Intrusion Detection in the Industrial Internet of Things Network Environment

Cite this Research Publication : Vishnu Radhakrishnan, N. Kabilan, Vinayakumar Ravi, V. Sowmya, Unsupervised Representation Learning Approach for Intrusion Detection in the Industrial Internet of Things Network Environment, Springer Series in Reliability Engineering, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-72636-1_3

Publisher : Springer Nature Switzerland

Year : 2025

Accurate Estimation of Cargo Power Using Machine Learning Algorithms

Cite this Research Publication : A. Venkata Siva Manoj, N. Sai Satwik Reddy, V. Venkata Alluri Rohith, V. Sowmya, Vinayakumar Ravi, Accurate Estimation of Cargo Power Using Machine Learning Algorithms, Springer Series in Reliability Engineering, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-72636-1_11

Publisher : Springer Nature Switzerland

Year : 2025

Higher Order Dynamic Mode Decomposition-Based Timeseries Forecasting for Covid-19

Cite this Research Publication : A. Aadharsh Aadhithya, Vishnu Radhakrishnan, Jayanth Mohan, M. Visweswaran, V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, Higher Order Dynamic Mode Decomposition-Based Timeseries Forecasting for Covid-19, Springer Series in Reliability Engineering, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-72636-1_14

Publisher : Springer Nature Switzerland

Year : 2025

Performance Analysis of Big Transfer Models on Biomedical Image Classification

Cite this Research Publication : Abhishek Laxman Joshi, Iswarya Kannoth Veetil, B. Premjith, V. Sowmya, E. A. Gopalakrishnan, Ravi Vinayakumar, Performance Analysis of Big Transfer Models on Biomedical Image Classification, Springer Series in Reliability Engineering, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-72636-1_7

Publisher : Springer Nature Switzerland

Year : 2024

CASe_UNet: Multi-level Multi-scale UNet for Medical Image Segmentation

Cite this Research Publication : Arrun Sivasubramanian, Jayanth Mohan, V. Sowmya, CASe_UNet: Multi-level Multi-scale UNet for Medical Image Segmentation, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-7794-5_21

Publisher : Springer Nature Singapore

Year : 2024

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India

Cite this Research Publication : Chowdary, P. N., Pingali, S., Unnikrishnan, P., Sanjeev, R., Sowmya, V., Gopalakrishnan, E. A., & Dhanya, M. (2024, January). Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. In International Conference on Computation of Artificial Intelligence & Machine Learning (pp. 47-62). Cham: Springer Nature Switzerland.

Publisher : Cornell University

Year : 2023

Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features

Cite this Research Publication : Krishnendu, C. S., V. Sowmya, and K. P. Soman. "Deep Learning-Based Open Set Domain Hyperspectral Image Classification Using Dimension-Reduced Spectral Features." In Smart Computer Vision, pp. 273-293. Cham: Springer International Publishing, 2023.

Publisher : SpringerLink

Year : 2023

Enhanced Object Detection in Floor Plan Through Super-Resolution

Cite this Research Publication : Khare, Dev, N. S. Kamal, H. B. Barathi Ganesh, V. Sowmya, and V. V. Sajith Variyar. "Enhanced Object Detection in Floor Plan Through Super-Resolution." In Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, pp. 247-257. Singapore: Springer Nature Singapore, 2023.

Publisher : SpringerLink

Year : 2023

Analysis of Machine Learning and Deep Learning Algorithms for Detection of Brain Disorders Using MRI Data

Cite this Research Publication : Sudharsan, Deepthi, S. Isha Indhu, Kavya S. Kumar, Lakshaya Karthikeyan, L. Srividhya, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Analysis of Machine Learning and Deep Learning Algorithms for Detection of Brain Disorders Using MRI Data." In Artificial Intelligence on Medical Data, pp. 39-46. Springer, Singapore, 2023.

Publisher : In Artificial Intelligence on Medical Data

Year : 2022

Ensemble Deep Learning Models for Vehicle Classification in Motorized Traffic Analysis

Cite this Research Publication : Asmitha, U., S. Roshan Tushar, V. Sowmya, and K. P. Soman. "Ensemble Deep Learning Models for Vehicle Classification in Motorized Traffic Analysis." In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2022, Volume 2, pp. 185-192. Singapore: Springer Nature Singapore, 2022.

Publisher : SpringerLink

Year : 2022

Hybrid Features-Based Ensembled Residual Convolutional Neural Network for Bird Acoustic Identification

Cite this Research Publication : Theivaprakasham, Hari, V. Sowmya, Vinayakumar Ravi, E. A. Gopalakrishnan, and K. P. Soman. "Hybrid Features-Based Ensembled Residual Convolutional Neural Network for Bird Acoustic Identification." In Advances in Communication, Devices and Networking: Proceedings of ICCDN 2021, pp. 437-445. Singapore: Springer Nature Singapore, 2022.

Publisher : SpringerLink

Year : 2022

Long short-term memory-based recurrent neural network model for COVID-19 prediction in different states of India

Cite this Research Publication : Mredulraj S Pandianchery, V Sowmya, EA Gopalakrishnan, KP Soman "Long short-term memory-based recurrent neural network model for COVID-19 prediction in different states of India", Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics, 2022

Publisher : CRC Press

Year : 2022

Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learning

Cite this Research Publication : Arun Prakash Jayakanthan, S Shiva Rupan, V Sowmya, Moez Krichen, Vinayakumar Ravi "", International Conference on Innovations in Bio-Inspired Computing and Applications, 2023

Publisher : Springer Nature Switzerland

Year : 2022

Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning

Cite this Research Publication : CS Ayush Kumar, Advaith Das Maharana, Srinath Murali Krishnan, Sannidhi Sri Sai Hanuma, V Sowmya, Vinayakumar Ravi "Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning" International Conference on Innovations in Bio-Inspired Computing and Applications, 2022/12/15

Publisher : Springer Nature Switzerland

Year : 2022

Initial Stage Identification of COVID-19 Using Capsule Networks

Cite this Research Publication : Ganesan, S., Anand, R., Sowmya, V., & Soman, K. P. (2022). Initial Stage Identification of COVID-19 Using Capsule Networks. In Smart Computer Vision (pp. 203-222). Cham: Springer International Publishing.

Publisher : SpringerLink

Year : 2022

Segmentation of Epiphytes in Grayscale Images Using a CNN-Transformer Hybrid Architecture

Cite this Research Publication : Rahesh, R., V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, K. P. Soman, and Gregory K. Brown. "Segmentation of Epiphytes in Grayscale Images Using a CNN-Transformer Hybrid Architecture." In Data Engineering and Intelligent Computing, pp. 119-129. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Epiphyte Segmentation using DRU-Net

Cite this Research Publication : Menon, Anjana K., V. V. Sajith Variyar, Ramesh Sivanpillai, V. Sowmya, Gregory K. Brown, and K. P. Soman. "Epiphyte Segmentation using DRU-Net." In Data Engineering and Intelligent Computing, pp. 101-108. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks

Cite this Research Publication : Jain, Gokul S., H. B. Ganesh, N. S. Kamal, V. V. Variyar, V. Sowmya, and K. P. Soman. "Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks." In Advanced Machine Intelligence and Signal Processing, pp. 845-853. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, Gopalakrishnan EA, and Soman KP. "Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection." In Evolution in Computational Intelligence, pp. 171-178. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning

Cite this Research Publication : Kamal, N. S., H. B. Barathi Ganesh, V. V. Sajith Variyar, V. Sowmya, and K. P. Soman. "Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning." In Intelligent Data Engineering and Analytics, pp. 31-39. Springer, Singapore, 2022.

Publisher : In Intelligent Data Engineering and Analytics

Year : 2022

Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models

Cite this Research Publication : Kumar, Krishanth, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Classification of Class-Imbalanced Diabetic Retinopathy Images Using the Synthetic Data Creation by Generative Models." In Intelligent Sustainable Systems, pp. 15-24. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest

Cite this Research Publication : Madan, Yamini, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Deep Learning-Based Approach for Parkinson’s Disease Detection Using Region of Interest." In Intelligent Sustainable Systems, pp. 1-13. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

Unsupervised deep learning-based disease diagnosis using medical images

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Unsupervised deep learning-based disease diagnosis using medical images." In Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data, pp. 203-220. Academic Press, 2022.

Year : 2022

Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev

Cite this Research Publication : Bhanu Prakash, M., K. Sanjana, B. Ganga Gowri, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev." In Intelligent Vision in Healthcare, pp. 75-86. Springer, Singapore, 2022.

Publisher : Springer

Year : 2022

CT Image Enhancement Using Variational Mode Decomposition for AI-Enabled COVID Classification

Cite this Research Publication : Ramakrishnan, Rohith, Anirudh Vadakedath, Aakash Jignesh Modi, V. V. Sajith Variyar, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "CT Image Enhancement Using Variational Mode Decomposition for AI-Enabled COVID Classification." In Artificial Intelligence on Medical Data, pp. 27-37. Springer, Singapore, 2023.

Publisher : Artificial Intelligence on Medical Data

Year : 2021

Performance Analysis of Deep Learning Models for Biomedical Image Segmentation

Cite this Research Publication : T. K. Saj Sachin, Sowmya V., and Dr. Soman K. P., “Performance Analysis of Deep Learning Models for Biomedical Image Segmentation”, in Deep Learning for Biomedical Applications, 1st Editionst ed., CRC Press, 2021, pp. 83–100.

Publisher : CRC Press

Year : 2021

Tuberculosis Classification Using Pre-trained Deep Learning Models

Cite this Research Publication : G. Babu, K, S. Saj T., Vishvanathan, S., and Dr. Soman K. P., “Tuberculosis Classification Using Pre-trained Deep Learning Models”, in Advances in Automation, Signal Processing, Instrumentation, and Control, Select Proceedings of i-CASIC 2020, 2021, pp. 767-774.

Publisher : Advances in Automation, Signal Processing, Instrumentation, and Control, Select Proceedings of i-CASIC 2020

Year : 2021

Multi-task data driven modelling based on transfer learned features in deep learning for biomedical application

Cite this Research Publication : H. N., B., R., V, S., V., K. Menon, E.A., G., V.V., S. Variyar, and Dr. Soman K. P., “Multi-task data driven modelling based on transfer learned features in deep learning for biomedical application”, in Lecture Notes in Networks and Systems, vol. 171, 2021.

Publisher : Lecture Notes in Networks and Systems

Year : 2020

Musculoskeletal Radiographs Classification using Deep Learning

Cite this Research Publication : N. Harini, Ramji, B., Sriram, S., Sowmya V., and Soman, K. P., “Musculoskeletal Radiographs Classification using Deep Learning”, in Deep Learning for Data Analytics, H. Das, Pradhan, C., and Dey, N., Eds. Academic Press, 2020, pp. 79-98, Academic Press.

Year : 2020

Single-layer Convolution Neural Network for Cardiac Disease Classification using Electrocardiogram Signals

Cite this Research Publication : P. Gopika, Krishnendu, C. S., M. Chandana, H., Ananthakrishnan, S., Sowmya V., Gopalakrishnan, E. A., and Soman, K. P., “Single-layer Convolution Neural Network for Cardiac Disease Classification using Electrocardiogram Signals”, in Deep Learning for Data Analytics, H. Das, Pradhan, C., and Dey, N., Eds. Academic Press, 2020, pp. 21-35, Academic Press.

Publisher : Deep Learning for Data Analytics, Academic Press

Year : 2020

Transferable Approach for Cardiac Disease Classification using Deep Learning

Cite this Research Publication : P. Gopika, Sowmya V., Gopalakrishnan, E. A., and Dr. Soman K. P., “Transferable Approach for Cardiac Disease Classification using Deep Learning”, in Deep Learning Techniques for Biomedical and Health Informatics, B. Agarwal, Balas, V. Emilia, Jain, L. C., Poonia, R. Chandra, and Manisha,, Eds. Academic Press, 2020, pp. 285-303, Academic Press.

Publisher : Deep Learning Techniques for Biomedical and Health Informatics, Academic Press

Year : 2020

Performance Analysis of NASNet on Unconstrained Ear Recognition

Cite this Research Publication : K. Radhika, Devika, K., Aswathi, T., Sreevidya, P., Sowmya V., and Dr. Soman K. P., “Performance Analysis of NASNet on Unconstrained Ear Recognition”, in Nature Inspired Computing for Data Science, Springer International Publishing, 2020, pp. 57-82, Springer, Cham.

Publisher : Springer International Publishing

Year : 2019

A Deep Learning Approach for Patch-based Disease Diagnosis from Microscopic Images

Cite this Research Publication : A. Simon, Vinayakumar, R., Sowmya V., Soman, K. Padannayil, and Gopalakrishnan, E. Anathanara, “A Deep Learning Approach for Patch-based Disease Diagnosis from Microscopic Images”, in Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis, N. Dey, Ed. Academic Press, 2019, pp. 109-127, Academic Press.

Publisher : Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis, Academic Press

Year : 2019

Scene classification using transfer learning

Cite this Research Publication : N. Damodaran, Sowmya V., Govind, D., and Dr. Soman K. P., “Scene Classification using transfer Learning”, in Studies in Computational Intelligence, vol. 804, Springer Verlag, 2019, pp. 363-399, Springer, Cham.

Publisher : Springer Verlag

Year : 2019

Hyperspectral image: Fundamentals and advances

Cite this Research Publication : Sowmya V., Dr. Soman K. P., and Hassaballah, M., “Hyperspectral image: Fundamentals and advances”, in Studies in Computational Intelligence, vol. 804, Springer Verlag, 2019, pp. 401-424, Springer, Cham.

Publisher : Springer Verlag

Journal Article

Year : 2025

Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms

Cite this Research Publication : Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan, Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms, Physical and Engineering Sciences in Medicine, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s13246-025-01521-5

Publisher : Springer Science and Business Media LLC

Year : 2025

Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AI

Cite this Research Publication : Jayanth Mohan, Arrun Sivasubramanian, Sowmya V., Vinayakumar Ravi, Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AI, Computers in Biology and Medicine, Elsevier BV, 2025, https://doi.org/10.1016/j.compbiomed.2025.110007

Publisher : Elsevier BV

Year : 2024

Multiclass Classification of Tomato Leaf Diseases Using Convolutional Neural Networks and Transfer Learning

Cite this Research Publication : K. M. Vivek Anandh, Arrun Sivasubramanian, V. Sowmya, Vinayakumar Ravi, Multiclass Classification of Tomato Leaf Diseases Using Convolutional Neural Networks and Transfer Learning, Journal of Phytopathology, Wiley, 2024, https://doi.org/10.1111/jph.13423

Publisher : Wiley

Year : 2024

Unsupervised intrusion detection system for in-vehicle communication networks

Cite this Research Publication : Kabilan N, Vinayakumar Ravi, V Sowmya, Unsupervised intrusion detection system for in-vehicle communication networks, Journal of Safety Science and Resilience, Elsevier BV, 2024, https://doi.org/10.1016/j.jnlssr.2023.12.004

Publisher : Elsevier BV

Year : 2024

Significance of AI-assisted techniques for epiphyte plant monitoring and identification from drone images

Cite this Research Publication : Sajith Variyar V.V., Sowmya V., Ramesh Sivanpillai, Gregory K. Brown, Significance of AI-assisted techniques for epiphyte plant monitoring and identification from drone images, Journal of Environmental Management, Elsevier BV, 2024, https://doi.org/10.1016/j.jenvman.2024.121996

Publisher : Elsevier BV

Year : 2024

Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare." Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches 10 (2024): 207

Year : 2024

Transformer based ensemble deep learning approach for remote sensing natural scene classification

Cite this Research Publication : Sivasubramanian, Arrun, Prashanth VR, Sowmya V, and Vinayakumar Ravi. "Transformer based ensemble deep learning approach for remote sensing natural scene classification." International Journal of Remote Sensing 45, no. 10 (2024): 3289-3309

Year : 2024

A multi-branch dual attention segmentation network for epiphyte drone images

Cite this Research Publication : Variyar, VV Sajith, V. Sowmya, Ramesh Sivanpillai, and Gregory K. Brown. "A multi-branch dual attention segmentation network for epiphyte drone images." Image and Vision Computing (2024): 105099

Year : 2024

Transformer-based convolutional neural network approach for remote sensing natural scene classification

Cite this Research Publication : Sivasubramanian, Arrun, V. R. Prashanth, Theivaprakasham Hari, V. Sowmya, E. A. Gopalakrishnan, and Vinayakumar Ravi. "Transformer-based convolutional neural network approach for remote sensing natural scene classification." Remote Sensing Applications: Society and Environment 33 (2024): 101126

Year : 2024

Unsupervised generative learning-based decision-making system for COVID-19 detection

Cite this Research Publication : Menon, Neeraj, Pooja Yadav, Vinayakumar Ravi, Vasundhara Acharya, and V. Sowmya. "Unsupervised generative learning-based decision-making system for COVID-19 detection." Health and Technology (2024): 1-11

Year : 2024

Robust language independent voice data driven Parkinson’s disease detection

Cite this Research Publication : Veetil, Iswarya Kannoth, V. Sowmya, Juan Rafael Orozco-Arroyave, and E. A. Gopalakrishnan. "Robust language independent voice data driven Parkinson’s disease detection." Engineering Applications of Artificial Intelligence 129 (2024): 107494

Year : 2024

An analysis of data leakage and generalizability in MRI based classification of Parkinson’s Disease using Explainable 2D Convolutional Neural Networks

Cite this Research Publication : Veetil, Iswarya Kannoth, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, and E. A. Gopalakrishnan. "An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using Explainable 2D Convolutional Neural Networks." Digital Signal Processing (2024): 104407

Year : 2023

Effect of Hyperparameters on DEEPLABV3+ Performance to Segment Water Bodies in RGB Images

Cite this Research Publication : Reddy, O. C., I. D. Kumar, P. Sathvika, V. V. Sajith Variyar, V. Sowmya, and R. Sivanpillai. "Effect of Hyperparameters on DEEPLABV3+ Performance to Segment Water Bodies in RGB Images." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 203-209

Year : 2023

The Effect of Contrast Enhancement on Epiphyte Segmentation Using Generative Network

Cite this Research Publication : Sajith Variyar, V. V., V. Sowmya, R. Sivanpillai, and G. Brown. "The Effect of Contrast Enhancement on Epiphyte Segmentation Using Generative Network." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 219-226

Year : 2023

Mosquito on Human Skin Classification Using Deep Learning

Cite this Research Publication : Kumar, CS Ayush, Advaith Das Maharana, Srinath Murali Krishnan, Sannidhi Sri Sai Hanuma, V. Sowmya, and Vinayakumar Ravi. "Mosquito on Human Skin Classification Using Deep Learning." In Innovations in Machine and Deep Learning: Case Studies and Applications, pp. 193-212. Cham: Springer Nature Switzerland, 2023

Year : 2023

Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms

Cite this Research Publication : Reddy, N. Sai Satwik, A. Venkata Siva Manoj, and V. Sowmya. "Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms." In International Advanced Computing Conference, pp. 397-409. Cham: Springer Nature Switzerland, 2023

Year : 2023

Transfer Learning Approach for Differentiating Parkinson’s Syndromes Using Voice Recordings

Cite this Research Publication : Reddy, N. Sai Satwik, A. Venkata Siva Manoj, V. Poorna Muni Sasidhar Reddy, Aadharsh Aadhithya, and V. Sowmya. "Transfer Learning Approach for Differentiating Parkinson’s Syndromes Using Voice Recordings." In International Advanced Computing Conference, pp. 213-226. Cham: Springer Nature Switzerland, 2023

Year : 2023

Coconut Tree Detection Using Deep Learning Models

Cite this Research Publication : Sudharsan, Deepthi, K. Harish, U. Asmitha, S. Roshan Tushar, H. Theivaprakasham, V. Sowmya, VV Sajith Variyar, Krishnamoorthy Deva Kumar, and Vinayakumar Ravi. "Coconut Tree Detection Using Deep Learning Models." In Innovations in Machine and Deep Learning: Case Studies and Applications, pp. 469-487. Cham: Springer Nature Switzerland, 2023

Year : 2023

Effect of data quality on water body segmentation with deeplabv3+ algorithm

Cite this Research Publication : Edpuganti, A., P. Akshaya, J. Gouthami, V. V. Sajith Variyar, V. Sowmya, and R. Sivanpillai. "Effect of data quality on water body segmentation with deeplabv3+ algorithm." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 48 (2023): 81-85

Year : 2023

Parkinson’s Disease Assessment from Speech Data Using Recurrence Plot

Cite this Research Publication : Mohamed Ali, Arsya, G. Jyothish Lal, V. Sowmya, and E. A. Gopalakrishnan. "Parkinson’s Disease Assessment from Speech Data Using Recurrence Plot." In International Conference on Computing, Intelligence and Data Analytics, pp. 132-142. Cham: Springer Nature Switzerland, 2023

Year : 2023

Selective Kernel Networks for Lung Abnormality Diagnosis Using Chest X-rays

Cite this Research Publication : Phogat, Divith, Dilip Parasu, Arun Prakash, and V. Sowmya. "Selective Kernel Networks for Lung Abnormality Diagnosis Using Chest X-rays." In International Conference on Information, Communication and Computing Technology, pp. 937-950. Singapore: Springer Nature Singapore, 2023

Year : 2023

Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease

Cite this Research Publication : Srividya. L, Sowmya V, Vinayakumar R, Gopalakrishnan EA, and Soman KP. "Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease." Multimedia Tools and Applications (2023): 1-24. Multimedia Tools and Applications 82, no. 14 (2023): 21311-21351. (IF: 3.6 CiteScore: 6.1 Q1: 86 percentile).

Publisher : SpringerLink

Year : 2023

Learning and Adaptation from Minimum Samples with Heterogeneous Quality: An investigation of image segmentation networks on natural dataset

Cite this Research Publication : Variyar, VV Sajith, V. Sowmya, Ramesh Sivanpillai, and Gregory K. Brown. "Learning and Adaptation from Minimum Samples with Heterogeneous Quality: An investigation of image segmentation networks on natural dataset." IEEE Access (2023). (IF: 3.476 CiteScore: 9.0 Q1: 92 percentile).

Publisher : IEEE

Year : 2023

Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India

Cite this Research Publication : Pandianchery, Mredulraj S., V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, and K. P. Soman. "Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India." IEEE Transactions on Computational Social Systems (2023) (IF: 5.0 CiteScore: 10 Q1: 98 percentile).

Publisher : IEEE

Year : 2023

Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images

Cite this Research Publication : J. Arun Prakash, Vinayakumar Ravi, V. Sowmya & K. P. Soman "Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images", Neural Computing and Applications volume 35, pages8259–8279 (2023)

Year : 2023

Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures

Cite this Research Publication : J Arun Prakash, CR Asswin, Vinayakumar Ravi, V Sowmya & KP Soman "Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures", Multimedia Tools and Applications volume 82, pages21311–21351 (2023)

Year : 2023

AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition

Cite this Research Publication : KM Sudhesh, V Sowmya, Sainamole Kurian, OK Sikha "AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition", Engineering Applications of Artificial Intelligence, 2023

Publisher : Pergamon

Year : 2022

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India

Cite this Research Publication : Mredulraj S. Pandianchery, Gopalakrishnan E.A, Sowmya V, Vinayakumar Ravi, Soman K.P "Explainable AI Framework for COVID-19 Prediction in Different Provinces of India", arXiv preprint arXiv:2201.06997, 2022/1/12

Year : 2022

Unsupervised Deep Learning Approach for the Identification of Intracranial Haemorrhage in CT Images Using PCA-Net and K-Means Algorithm

Cite this Research Publication : Ganeshkumar, M., V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Unsupervised Deep Learning Approach for the Identification of Intracranial Haemorrhage in CT Images Using PCA-Net and K-Means Algorithm." In Intelligent Vision in Healthcare, pp. 23-31. Springer, Singapore, 2022

Publisher : Springer

Year : 2022

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN

Cite this Research Publication : Ganesh Kumar, M., Vinayakumar Ravi, V. Sowmya, and Chinmay Chakraborty. "Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN." Multimedia Tools and Applications (2022): 1-17. (IF: 2.577 CiteScore: 5.3 Q1: 81 percentile).

Publisher : Multimedia Tools and Applications 

Year : 2022

A two‐stage deep learning framework for image‐based android malware detection and variant classification

Cite this Research Publication : Yadav, Pooja, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, and Tuan D. Pham. "A two‐stage deep learning framework for image‐based android malware detection and variant classification." Computational Intelligence (2022). (IF: 2.142 CiteScore: 4.0 Q2: 75 percentile).

Publisher : Computational Intelligence 

Year : 2022

EfficientNet convolutional neural networks-based Android malware detection

Cite this Research Publication : Yadav, Pooja, Neeraj Menon, Vinayakumar Ravi, Sowmya Vishvanathan, and Tuan D. Pham. "EfficientNet convolutional neural networks-based Android malware detection." Computers & Security 115 (2022): 102622. (IF: 5.105 CiteScore: 10.1 Q1: 99 percentile).

Publisher : Computers & Security 115

Year : 2022

Odonata identification using Customized Convolutional Neural Networks

Cite this Research Publication : Theivaprakasham, Hari, S. Darshana, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, and K. P. Soman. "Odonata identification using Customized Convolutional Neural Networks." Expert Systems with Applications (2022): 117688. (IF:8.665 CiteScore: 12.2 Q1: 97 percentile).

Publisher : Expert Systems with Applications 

Year : 2021

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures

Cite this Research Publication : Arun Prakash J., Asswin C.R., Dharshan Kumar K.S., Avinash Dora, Vinayakumar Ravi, Sowmya V., E.A. Gopalakrishnan, Soman K.P. "Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures", Engineering Applications of Artificial Intelligence, Volume 123, Part B, August 2023, 106416

Year : 2021

Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images

Cite this Research Publication : Anand, R., Sowmya, V., Menon, V., Gopalakrishnan, A., & Soman, K. P. (2021). Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images. Biomedical and Biotechnology Research Journal (BBRJ), 5(1), 43-49.

Year : 2021

Effect of Annotation and Loss Function on Epiphyte Identification using Conditional Generative Adversarial Network

Cite this Research Publication : S. Aswin; V.V. Sajithvariyar; Ramesh Sivanpillai; V. Sowmya; Gregory K Brown; A. Shashank; K. P. Soman "Effect of Annotation and Loss Function on Epiphyte Identification using Conditional Generative Adversarial Network", 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)

Publisher : IEEE

Year : 2021

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram

Cite this Research Publication : G. M., Vinayakumar Ravi, Sowmya V., Dr. E. A. Gopalakrishnan, and Dr. Soman K. P., “Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram”, IEEE Transactions on Engineering Management (IF: 6.146 Citescore: 4.3 Q1: 76 percentile), pp. 1-13, 2021.

Publisher : IEEE Transactions on Engineering Management

Year : 2021

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images

Cite this Research Publication : Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, and Sowmya V., “Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images”, IEEE Transactions on Engineering Management (IF: 6.146 Citescore: 4.3 Q1: 76 percentile), pp. 1-13, 2021.

Publisher : IEEE Transactions on Engineering Management

Year : 2021

Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images

Cite this Research Publication : R. ANAND, Sowmya, V., VIJAYKRISHNAMENON,, Gopalakrishnan, E. A., and Dr. Soman K. P., “Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images”, IOP Conference Series: Materials Science and Engineering, vol. 1084, p. 012001, 2021.

Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing

Year : 2020

Randomized independent component analysis and linear discriminant analysis dimensionality reduction methods for hyperspectral image classification

Cite this Research Publication : Chippy Jayaprakash, Bharath Bhushan Damodaran, Sowmya Viswanathan, Kutti Padannayil Soman "Randomized independent component analysis and linear discriminant analysis dimensionality reduction methods for hyperspectral image classification", Journal of Applied Remote Sensing, 2020/7/1

Publisher : Society of Photo-Optical Instrumentation Engineers

Year : 2020

Explainable Artificial Intelligence for Heart Rate Variability in ECG Signal

Cite this Research Publication : Sowmya V., Sanjana, K., Gopalakrishnan, E. A., and Dr. Soman K. P., “Explainable Artificial Intelligence for Heart Rate Variability in ECG Signal”, Healthcare Technology Letters, vol. 7, no. 6, pp. 146 (IF:1.157, CiteScore: 3.1, Q2- 64 percentile), 2020.

Publisher : Healthcare Technology Letters

Year : 2020

Dimensionality Reduction Methods for Hyperspectral Image Classification

Cite this Research Publication : Chippy Jayaprakash, Damodaran, B. Bhushan, Sowmya V., and Dr. Soman K. P., “Dimensionality Reduction Methods for Hyperspectral Image Classification”, Journal of Applied Remote Sensing , vol. 14, no. 3, pp. 036507 (IF: 1.370, CiteScore: 2.6, Q2- 69 percentile), 2020.

Publisher : Journal of Applied Remote Sensing

Year : 2019

Shallow cnn with lstm layer for tuberculosis detection in microscopic images

Cite this Research Publication : Anson Simon, R Vinayakumar, V Sowmya, KP Soman "Shallow cnn with lstm layer for tuberculosis detection in microscopic images", Machine learning for Biomedical Applications, 2019

Year : 2019

Performance comparison of machine learning algorithms for malaria detection using microscopic images

Cite this Research Publication : G. B. Saiprasath, Babu, N., ArunPriyan, J., Vinayakumar, R., Sowmya, V., and Dr. Soman K. P., “Performance comparison of machine learning algorithms for malaria detection using microscopic images”, IJRAR19RP014 International Journal of Research and Analytical Reviews (IJRAR), vol. 6, no. 1, 2019.

Publisher : IJRAR19RP014 International Journal of Research and Analytical Reviews (IJRAR), IJRAR

Year : 2019

A two-band convolutional neural network for satellite image classification

Cite this Research Publication : A. Unnikrishnan, Sowmya, and Dr. Soman K. P., “A two-band convolutional neural network for satellite image classification”, in Lecture Notes in Electrical Engineering, 2019, vol. 500, pp. 161-170.

Publisher : Lecture Notes in Electrical Engineering, Springer Verlag

Year : 2019

Significance of processing chrominance information for scene classification: a review

Cite this Research Publication : Sowmya V., Govind, D., and Dr. Soman K. P., “Significance of Processing Chrominance Information for Scene Classification: a Review”, Artificial Intelligence Review, vol. 53, no. 2, pp. 811-842 (IF: 5.747, CiteScore: 9.1, Q1- 89 percentile), 2019.

Publisher : Artificial Intelligence Review

Year : 2019

Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image

Cite this Research Publication : A. Simon, Vinayakumar, R., Sowmya, and Dr. Soman K. P., “Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image”, International Journal of Recent Technology and Engineering, vol. 7, pp. 56-60, 2019.

Publisher : International Journal of Recent Technology and Engineering

Year : 2019

Pre-processed hyperspectral image analysis using tensor decomposition techniques

Cite this Research Publication : R. K. Renu, Sowmya, and Dr. Soman K. P., “Pre-processed hyperspectral image analysis using tensor decomposition techniques”, in Communications in Computer and Information Science, 2019, vol. 968, pp. 205-216.

Publisher : Communications in Computer and Information Science

Year : 2019

Effect of denoising on hyperspectral image classification using deep networks and kernel methods

Cite this Research Publication : N. V. Jacob, Sowmya, and Dr. Soman K. P., “Effect of denoising on hyperspectral image classification using deep networks and kernel methods”, in Journal of Intelligent and Fuzzy Systems, 2019, vol. 36, pp. 2067-2073.

Publisher : Journal of Intelligent and Fuzzy Systems, IOS Press

Year : 2019

Dimensionality reduction by dynamic mode decomposition for hyperspectral image classification using deep learning and kernel methods

Cite this Research Publication : K. S. Charmisha, Sowmya, and Dr. Soman K. P., “Dimensionality reduction by dynamic mode decomposition for hyperspectral image classification using deep learning and kernel methods”, in Communications in Computer and Information Science, 2019, vol. 968, pp. 256-267.

Publisher : Communications in Computer and Information Science

Year : 2019

Deep learning architectures for land cover classification using red and near-infrared satellite images

Cite this Research Publication : A. Unnikrishnan, Sowmya V., and Dr. Soman K. P., “Deep learning architectures for land cover classification using red and near-infrared satellite images”, Multimedia Tools and Applications, vol. 78, no. 13, pp. 18379-18394 (IF: 2.313, CiteScore: 3.7, Q1- 80 percentile)., 2019.

Publisher : Multimedia Tools and Applications

Year : 2018

Least Square Based Fast Denoising approach to Hyperspectral Imagery

Cite this Research Publication : S. Srivatsa, Sowmya, and Dr. Soman K. P., “Least square based fast denoising approach to hyperspectral imagery”, Advances in Intelligent Systems and Computing, vol. 518, pp. 107-115, 2018.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

Year : 2018

Effect of Dimensionality Reduction on Sparsity Based Hyperspectral Unmixing

Cite this Research Publication : M. Swarna, Sowmya, and Dr. Soman K. P., “Effect of dimensionality reduction on sparsity based hyperspectral unmixing”, Advances in Intelligent Systems and Computing, vol. 614, pp. 429-439, 2018.

Publisher : Advances in Intelligent Systems and Computing.

Year : 2018

Fusion of panchromatic image with low-resolution multispectral images using Dynamic Mode Decomposition

Cite this Research Publication : V. Ankarao, Sowmya, and Dr. Soman K. P., “Fusion of panchromatic image with low-resolution multispectral images using dynamic mode decomposition”, Lecture Notes in Electrical Engineering, vol. 490, pp. 335-346, 2018.

Publisher : Lecture Notes in Electrical Engineering, Springer Verlag

Year : 2018

Effect of Legendre–Fenchel denoising and SVD-based dimensionality reduction algorithm on hyperspectral image classification

Cite this Research Publication : R. Reshma, Sowmya V., and Dr. Soman K. P., “Effect of Legendre–Fenchel denoising and SVD-based Dimensionality Reduction Algorithm on Hyperspectral image Classification”, Neural Computing and Applications, vol. 29, pp. 301-310 (IF: 4.774, CiteScore: 6.5, Q1- 81 percentile), 2018.

Publisher : Neural Computing and Applications, Springer London.

Year : 2018

Multi-sensor data fusion using NIHS transform and decomposition algorithms

Cite this Research Publication : V. Ankarao, Sowmya V., and Dr. Soman K. P., “Multi-sensor Data Fusion using NIHS Transform and Decomposition Algorithms”, Multimedia Tools and Applications, vol. 77, pp. 30381–30402 (IF: 2.313, CiteScore: 3.7, Q1- 80 percentile), 2018.

Publisher : Multimedia Tools and Applications

Year : 2018

Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms

Cite this Research Publication : M. Swarna, Sowmya V., and Dr. Soman K. P., “Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms”, Signal, Image and Video Processing, vol. 12, no. 8, pp. 1463-1470 (IF: 1.794, CiteScore: 3.8, Q2- 69 percentile), 2018.

Publisher : Signal, Image and Video Processing

Year : 2017

Significance of incorporating chrominance information for effective color-to-grayscale image conversion

Cite this Research Publication : Sowmya, Divu, G., and Dr. Soman K. P., “Significance of incorporating chrominance information for effective color-to-grayscale image conversion”, Signal, Image and Video Processing, vol. 11, 2016.

Publisher : Signal, Image and Video Processing.

Year : 2017

Significance of perceptually relevant image decolorization for scene classification

Cite this Research Publication : Sowmya V., Divakaran, G., and Dr. Soman K. P., “Significance of perceptually relevant image decolorization for scene classification”, Journal of Electronic ImagingJournal of Electronic Imaging, vol. 26, no. 6, pp. 063019 (IF: 0.780, CiteScore: 2.0, Q3- 46 percentile), 2017.

Publisher : Journal of Electronic Imaging

Year : 2017

Effect of Legendre-Fenchel Denoising and SVD based Dimensionality Reduction Algorithm on Hyperspectral Image Classification

Cite this Research Publication : Sowmya, “Effect of Legendre-Fenchel Denoising and SVD based Dimensionality Reduction Algorithm on Hyperspectral Image Classification”, Special Issue in the Journal of Neural Computing and Applications, Springer, 2017.

Publisher : Special Issue in the Journal of Neural Computing and Applications, Springer

Year : 2017

Application of M-band wavelet in pan-sharpening

Cite this Research Publication : V. V. Pradeep, Sowmya, and Dr. Soman K. P., “Application of M-band wavelet in pan-sharpening”, Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press, Netherlands, vol. 32, no. 4, pp. 3151-3158, 2017.

Publisher : Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press,

Year : 2016

Variational Mode Feature-Based Hyperspectral Image Classification

Cite this Research Publication : N. Nechikkat, Sowmya, V., and Dr. Soman K. P., “Variational mode feature-based hyperspectral image classification”, Advances in Intelligent Systems and Computing, vol. 380, pp. 365-373, 2016.

Publisher : Advances in Intelligent Systems and Computing, Springer Verlag

Year : 2016

Variational mode decomposition based multispectral and panchromatic image fusion

Cite this Research Publication : V. V. Pradeep, Sowmya, and Dr. Soman K. P., “Variational mode decomposition based multispectral and panchromatic image fusion”, International Journal of Control Theory and Applications, vol. 9, no. 16, pp. 8051-8059, 2016.

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

Year : 2016

Regularized least square approach for remote sensing image denoising using wavelet filters

Cite this Research Publication : M. Swarna, Megha, P., Sowmya, and Dr. Soman K. P., “Regularized least square approach for remote sensing image denoising using wavelet filters”, Indian Journal of Science and Technology, vol. 9, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Performance Evaluation of Sparse Banded Filter Matrices using content based image retrieval

Cite this Research Publication : H. T. Suseelan, Sudhakaran, S., Sowmya, and Dr. Soman K. P., “Performance Evaluation of Sparse Banded Filter Matrices using content based image retrieval”, Institute of Integrative Omics and Applied Biotechnology, vol. 7, no. 3, pp. 11-18, 2016.

Publisher : Institute of Integrative Omics and Applied Biotechnology

Year : 2016

Low dimensional variational mode features for hyperspectral image classification

Cite this Research Publication : N. Nechikkat, Sowmya, and Dr. Soman K. P., “Low dimensional variational mode features for hyperspectral image classification”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 565-570, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Least Square based Signal Denoising and Deconvolution using Wavelet Filters

Cite this Research Publication : Sowmya, Praveena, R., and Dr. Soman K. P., “Least Square based Signal Denoising and Deconvolution using Wavelet Filters”, Indian Journal of Science and Technology, vol. 9, no. 33, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Least Square based image denoising using wavelet filters

Cite this Research Publication : V. P.V, G, R. Devi, Sowmya, and Dr. Soman K. P., “Least Square based image denoising using wavelet filters”, Indian Journal of Science and Technology, vol. 9, no. 30, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Least Square Based approach for Image Inpainting

Cite this Research Publication : A. M, N, D., Sowmya, Mahan, D. Neethu, and Dr. Soman K. P., “Least Square Based approach for Image Inpainting”, Institute of Integrative Omics and Applied Biotechnology, vol. 7, pp. 44-59, 2016.

Publisher : Institute of Integrative Omics and Applied Biotechnology

Year : 2016

Improvement in kernel based Hyperspectral image classification using legendre fenchel denoising

Cite this Research Publication : Reshma R, Sowmya, and Dr. Soman K. P., “Improvement in kernel based Hyperspectral image classification using legendre fenchel denoising”, Indian Journal of Science and Technology, vol. 9, no. 33, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2016

Impact of least square denoising on kernel based hyperspectral image classification

Cite this Research Publication : P. Megha, Swarna, M., K. Dixon, D. Merlin, Dr. Soman K. P., and Sowmya, “Impact of least square denoising on kernel based hyperspectral image classification”, International Journal of Control Theory and Applications, vol. 9, pp. 4623-4630, 2016.

Publisher : International Journal of Control Theory and Applications.

Year : 2016

Fourier Descriptor features for Shape Deformation Classification using Random Kitchen Sink

Cite this Research Publication : S. Se, Pradeep, D., Sowmya, and Dr. Soman K. P., “Fourier Descriptor features for Shape Deformation Classification using Random Kitchen Sink”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 554-558, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Enhanced Variational Mode Features for Hyperspectral Image Classification

Cite this Research Publication : L. S. Kiran, Sowmya, and Dr. Soman K. P., “Enhanced Variational Mode Features for Hyperspectral Image Classification”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 502-505, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2016

Empirical Wavelet Transform for Multifocus Image Fusion

Cite this Research Publication : S. Moushmi, Sowmya, V., and Dr. Soman K. P., “Empirical wavelet transform for multifocus image fusion”, Advances in Intelligent Systems and Computing, vol. 397, pp. 257-263, 2016.

Publisher : AISC Springer Series

Year : 2016

Digit recognition using multiple feature extraction

Cite this Research Publication : D. P. Kuttichira, Sowmya, and Dr. Soman K. P., “Digit recognition using multiple feature extraction”, IIOAB Journal, vol. 7, pp. 37-43, 2016.

Publisher : IIOAB Journal

Year : 2016

Aerial and satellite image denoising using least square weighted regularization method

Cite this Research Publication : D. Merlin K. Dixon, Ajay, A., Dr. Soman K. P., and Sowmya, “Aerial and satellite image denoising using least square weighted regularization method”, Indian Journal of Science and Technology, vol. 9, no. 30, 2016.

Publisher : Indian Journal of Science and Technology

Year : 2015

Spreadsheet implementation of random kitchen sink for classification

Cite this Research Publication : Y. C. Nair, Binsha, P., V. Pradeep, V., Sowmya, and Dr. Soman K. P., “Spreadsheet implementation of random kitchen sink for classification”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19228-19233, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Sparse banded matrix filter for image denoising

Cite this Research Publication : ⦁ Sowmya, V., Mohan, Neethu, & Soman, K. (2015b). Sparse banded matrix filter for image denoising. Indian Journal of Science and Technology, 8(24), 1–6.

Publisher : Indian Journal of Science and Technology

Year : 2015

Smart meter data security based on cosine transform and chaotic theory

Cite this Research Publication : M. Aswathi, M. Babu, J., Sowmya, and Dr. Soman K. P., “Smart meter data security based on cosine transform and chaotic theory”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19181-19185, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Performance Enhancement of Minimum Volume based Hyper Spectral Unmixing Algorithms by Variational Mode Decomposition

Cite this Research Publication : P. G. Mol, Sowmya, and Dr. Soman K. P., “Performance Enhancement of Minimum Volume based Hyper Spectral Unmixing Algorithms by Variational Mode Decomposition”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

Performance Comparison of Empirical wavelet Transform and Empirical Mode Decomposition on Pan sharpening

Cite this Research Publication : Sowmya, S., M., and Dr. Soman K. P., “Performance Comparison of Empirical wavelet Transform and Empirical Mode Decomposition on Pan sharpening”, International Journal of Applied Engineering Research, vol. 10, no. 73, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Parameter analysis of random kitchen sink algorithm

Cite this Research Publication : S. Athira, Harikumar, K., Sowmya, and Dr. Soman K. P., “Parameter analysis of random kitchen sink algorithm”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 19351-19355, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

Multispectral and Panchromatic Image Fusion using Empirical Wavelet Transform

Cite this Research Publication : S. Moushmi, Sowmya, and Dr. Soman K. P., “Multispectral and Panchromatic Image Fusion using Empirical Wavelet Transform”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

GURLS vs LIBSVM: Performance Comparison of Kernel Methods for Hyperspectral Image Classification

Cite this Research Publication : N. Haridas, Sowmya V., and Dr. Soman K. P., “GURLS vs LIBSVM: Performance Comparison of Kernel Methods for Hyperspectral Image Classification”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.

Publisher : Indian Journal of Science and Technology

Year : 2015

Effect of AB filter denoising on ADMM based Hyperspectral Image Classification

Cite this Research Publication : A. C, Haridas, N., Sowmya, and Dr. Soman K. P., “Effect of AB filter denoising on ADMM based Hyperspectral Image Classification”, International Journal of Applied Engineering Research (IJAER), vol. 10, no. 73, pp. 127-131, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year : 2015

Edge Detection Using Sparse Banded Filter Matrices

Cite this Research Publication : Sowmya, Dr. Neethu Mohan, and Dr. Soman K. P., “Edge Detection Using Sparse Banded Filter Matrices”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi , pp. 10–17, 2015.

Publisher : Procedia Computer Science

Year : 2015

A Comparative Analysis of Variational Mode and Empirical Mode Features on Hyperspectral Image Classification

Cite this Research Publication : N. Nechikkat, Sowmya, and Dr. Soman K. P., “A Comparative Analysis of Variational Mode and Empirical Mode Features on Hyperspectral Image Classification”, International Journal of Applied Engineering Research, vol. 10, no. 73, 2015.

Publisher : Rajagiri School of Social Sciences, Kalamassery, Kochi

Year : 2015

ADMM based hyperspectral image classification improved by denoising using legendre fenchel transformation

Cite this Research Publication : C. Aswathy, Sowmya, and Dr. Soman K. P., “ADMM based hyperspectral image classification improved by denoising using legendre fenchel transformation”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015

Publisher : Indian Journal of Science and Technology

Year : 2014

Image Classification Using Convolutional Neural Networks

Cite this Research Publication : Sowmya, Dr. Soman K. P., and Deepika, J., “Image Classification Using Convolutional Neural Networks”, International Journal of Scientific & Engineering Research , vol. 5, no. 6, p. 06/2014, 2014.

Publisher : International Journal of Scientific Engineering Research

Year : 2014

Classification of hyperspectral images using scattering transform

Cite this Research Publication : P. S. Ashitha, Sowmya, and Dr. Soman K. P., “Classification of hyperspectral images using scattering transform”, International Journal of Scientific & Engineering Research, vol. 5, no. 7, pp. 315-319, 2014.

Publisher : International Journal of Scientific Engineering Research

Year : 2012

Enhancing computational thinking with spreadsheet and fractal geometry: Part 4 plant growth modeling and space filling curves

Cite this Research Publication : KP Soman, Manu Unni VG, Praveen Krishnan, V Sowmya "Enhancing computational thinking with spreadsheet and fractal geometry: Part 4 plant growth modeling and space filling curves", International Journal of Computer Applications, Volume 55, Issue 14, 2012/1/1

Year : 2012

Spatial preprocessing for improved sparsity based hyperspectral image classification

Cite this Research Publication : K. Balakrishnan, Dr. Soman K. P., and Sowmya, “Spatial Preprocessing for Improved Sparsity based Hyperspectral Image Classification”, International Journal of Engineering Research and Technology (IJERT), vol. 1, no. 5, 2012.

Publisher : IJERT

Year : 2012

Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 3 Mandelbrot and Julia Set

Cite this Research Publication : K. P. Soman, V.G, M. Unni, Sowmya, V., and Krishnan, P., “Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 3 Mandelbrot and Julia Set”, International Journal of Computer Applications, vol. 55, pp. 16-23, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 1

Cite this Research Publication : Dr. Soman K. P., Sowmya, V., Krishnan, P., and V.G, M. Unni, “Enhancing Computational Thinking with Spreadsheet and Fractal Geometry: Part 1”, International Journal of Computer Applications, vol. 55, pp. 1-8, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

Computational Thinking with Spreadsheet: Convolution, High-Precision Computing and Filtering of Signals and Images

Cite this Research Publication : KP Soman, Sachin Kumar S, Soumya V, Shajeesh KU, Computational Thinking with Spreadsheet: Convolution, High-Precision Computing and Filtering of Signals and Images, International Journal of Computer Applications, 60(19):1-7, 2012

Publisher : International Journal of Computer Applications

Conference Paper

Year : 2024

Video Anomaly Detection Using Liquid Neural Networks

Cite this Research Publication : A. V. Kanishkar, B. Nithesh, R. Nithish Kumar, S Rishi Karthigayan, V. Sowmya, K. Deepak, Video Anomaly Detection Using Liquid Neural Networks, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-7710-5_13

Publisher : Springer Nature Singapore

Year : 2024

Appearance-Trajectory Network for Video Anomaly Detection System

Cite this Research Publication : K Ram Prasath, V. Sowmya, K. Deepak, B. Premjith, G. Jyothish Lal, Appearance-Trajectory Network for Video Anomaly Detection System, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724532

Publisher : IEEE

Year : 2024

Precision healthcare analytics: a machine learning approach for efficient length of stay estimation in acute malnutrition patients in Mali

Cite this Research Publication : Venu Pulagam, M. L. Rakhil, Velaga Lakshman, V. Sowmya, Precision healthcare analytics: a machine learning approach for efficient length of stay estimation in acute malnutrition patients in Mali, IET Conference Proceedings, Institution of Engineering and Technology (IET), 2024, https://doi.org/10.1049/icp.2024.2538

Publisher : Institution of Engineering and Technology (IET)

Year : 2024

Effect of Segmentation on Skin Lesion Classification Using Multi-Scale Convolution Neural Networks

Cite this Research Publication :

Publisher : IEEE

Year : 2024

Automated Crack Analysis and Reporting in Civil Infrastructure using Generative AI

Cite this Research Publication : Sanjay Kumar K. J, K.L Amritha Nandini, S.P Saran Dharshan, Sowmya V, Tharindu Bandaragoda, Automated Crack Analysis and Reporting in Civil Infrastructure using Generative AI, IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2024, https://doi.org/10.1109/iecon55916.2024.10905875

Publisher : IEEE

Year : 2024

Findings of the Shared Task on Multimodal Social Media Data Analysis in Dravidian Languages (MSMDA-DL)

Cite this Research Publication : Premjith B, Jyothish G, Sowmya V, Bharathi Raja Chakravarthi, K Nandhini, Rajeswari Natarajan, Abirami Murugappan, Bharathi B, Saranya Rajiakodi, Rahul Ponnusamy, Jayanth Mohan, and Mekapati Reddy. 2024. Findings of the Shared Task on Multimodal Social Media Data Analysis in Dravidian Languages (MSMDA-DL)@DravidianLangTech 2024. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 56–61, St. Julian's, Malta. Association for Computational Linguistics.

Publisher : Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages

Year : 2023

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems

Cite this Research Publication : Akshay, S., E. A. Gopalakrishnan, V. Sowmya, J. Venkatramani, Dheeraj Tripathi, Jay Shankar Prasad, and Sirshendu Mondal. "Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems." IEEE Access (2023)

Year : 2023

Significance of Atrous Spatial Pyramid Pooling (ASPP) in Deeplabv3+ for Water Body Segmentation

Cite this Research Publication : Sunandini, Gosula, Ramesh Sivanpillai, V. Sowmya, and VV Sajith Variyar. "Significance of Atrous Spatial Pyramid Pooling (ASPP) in Deeplabv3+ for Water Body Segmentation." In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 744-749. IEEE, 2023.

Publisher : IEEE

Year : 2023

Two-stage deep learning model for automate detection and classification of lung diseases

Cite this Research Publication : M. Ganeshkumar, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman & M. Rupeshkumar "Two-stage deep learning model for automate detection and classification of lung diseases",

Year : 2023

Performance Improvement of Water Body Segmentation by DeeplabV3+Using Two Dimensional Variational Mode Decomposition

Cite this Research Publication : Bichu George, Variyar.V.V Sajith, V Sowmya, Ramesh Sivanpillai "Performance Improvement of Water Body Segmentation by DeeplabV3+Using Two Dimensional Variational Mode Decomposition", 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)

Year : 2022

Artificial Intelligence Framework for COVID Protocol Detection

Cite this Research Publication : Kabilan, N., Sajith Variyar VV, P. Adithan, V. Sowmya, and PS Sai Ganesh. "Artificial Intelligence Framework for COVID Protocol Detection." In 2022 3rd International Conference on Computing, Analytics and Networks (ICAN), pp. 1-4. IEEE, 2022.

Publisher : IEEE

Year : 2022

Influence of Additional Spectral Bands for Epiphyte Segmentation on Dru-Net

Cite this Research Publication : Menona, Anjana K., V. V. Sajithvariyar, Ramesh Sivanpillaib, Sowmya Va, Gregory K. Brownc, and K. P. Somana. "Influence of Additional Spectral Bands for Epiphyte Segmentation on Dru-Net." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 159-163.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2022

Multiple Oil Pad Detection Using Deep Learning

Cite this Research Publication : Giri, A., V. V. Sajith Variyar, V. Sowmya, R. Sivanpillai, and K. P. Soman. "Multiple Oil Pad Detection Using Deep Learning." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 91-96.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2022

Extracting Water Bodies in RGB Images Using DEEPLABV3+ Algorithm

Cite this Research Publication : Harika, A., R. Sivanpillai, V. V. Sajith Variyar, and V. Sowmya. "Extracting Water Bodies in RGB Images Using DEEPLABV3+ Algorithm." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46 (2022): 97-101.

Publisher : ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 

Year : 2022

MARS: A Hybrid Deep CNN-based Multi-Accent Recognition System for English Language

Cite this Research Publication : Darshana, S., Theivaprakasham, H., Jyothish Lal, G., Premjith, B., Sowmya, V., Soman, K. P., "MARS: A Hybrid Deep CNN-based Multi-Accent Recognition System for English Language" (2022) 2022 1st International Conference on Artificial Intelligence Trends and Pattern Recognition, ICAITPR 2022, DOI: 10.1109/ICAITPR51569.2022.9844177

Publisher : ICAITPR

Year : 2021

Ensemble of Deep Transfer Learning Models for Parkinson’s Disease Classification

Cite this Research Publication : Kiranbabu Rajanbabu, Iswarya Kannoth Veetil, V. Sowmya, E. A. Gopalakrishnan & K. P. Soman "Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification", Advances in Intelligent Systems and Computing book series (AISC,volume 1340), 24 July 2021

Year : 2021

Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks

Cite this Research Publication : Veetil, I. K., Gopalakrishnan, E. A., Sowmya, V. and Soman, K. P. “Parkinson’s disease classification from Magnetic Resonance Images using deep transfer learned Convolutional Neural Networks”, Proceedings of 18th Indian Council International Conference, INDICON (2021).

Publisher : INDICON

Year : 2021

Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram

Cite this Research Publication : Kesav, R. Sai, M. Bhanu Prakash, Krishanth Kumar, V. Sowmya, and K. P. Soman. "Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification Using Spectrogram." In International Conference on Advances in Computing and Data Sciences, pp. 538-549. Springer, Cham, 2021.

Publisher : Springer

Year : 2021

Early Warning Indicators for Financial Crisis During Covid-19

Cite this Research Publication : Modi, A., Jyothish Lal, G., Gopalakrishnan, E. A., Sowmya, V., Soman, K. P. and Vinayakumar, R. “Early warning indicators of financial crisis during Covid-19”, Communications in Computer and Information Science (2022), 1528, 229-243.

Publisher : Springer

Year : 2021

Analysis of Four Generator Architectures of C-Gan, Loss Function, and Annotation Method for Epiphyte Identification

Cite this Research Publication : Sajith Variyar V. V., Aswin Sunil, Sowmya V., Dr. Soman K. P., Ramesh Sivanpillai, and Greg Brown, “Analysis of Four Generator Architectures of C-Gan, Loss Function, and Annotation Method for Epiphyte Identification”, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021.

Publisher : Remote Sensing and Spatial Information Sciences

Year : 2021

Identifying Oil Pads in High Spatial Resolution Aerial Images Using Faster R-Cnn

Cite this Research Publication : Aswin Sunil, Sajith Variyar V. V., Sowmya V., Ramesh Sivanpillai, and Dr. Soman K. P., “Identifying Oil Pads in High Spatial Resolution Aerial Images Using Faster R-Cnn”, in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021.

Publisher : ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2021

Optimizing Low-Cost Uav Aerial Image Mosaicing for Crop Growth Monitoring

Cite this Research Publication : P. Bupathy, Ramesh Sivanpillai, Sajith Variyar V. V., and Sowmya V., “Optimizing Low-Cost Uav Aerial Image Mosaicing for Crop Growth Monitoring”, in International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences , 2021.

Publisher : International Archives of the Photogrammetry

Year : 2021

Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification

Cite this Research Publication : K. C. S., Sowmya, V., and Dr. Soman K. P., “Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification”, in Evolution in Computational Intelligence, Singapore, 2021.

Publisher : Springer Singapore

Year : 2021

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification

Cite this Research Publication : Sanjana, K., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance improvement of deep residual skip convolution neural network for atrial fibrillation classification”. (2021). Advances in Intelligent Systems & Computing, 1176, 755-763.

Publisher : Springer Singapore

Year : 2021

Robust Malware Detection using Residual Attention Network

Cite this Research Publication : Shamika Ganesan, R. Vinayakumar, Moez Krichen, Sowmya V., Roobaea Alroobaea, and Dr. Soman K. P., “Robust Malware Detection using Residual Attention Network”, in Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 2021, pp. 1-6.

Publisher : IEEE

Year : 2021

Noise Reduction of ECG using Chebyshev filter and Classification using Machine Learning Algorithms

Cite this Research Publication : Prakash, M. B, Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Noise reduction of ECG using Chebyshev filter and classification using machine learning algorithms”, Proceedings of International Conference on Computing, Communication and Intelligent Systems. (2021).

Publisher : IEEE

Year : 2020

Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids

Cite this Research Publication : Kumar, K. S., Krishna, U. V., Mohan, Neethu, Sowmya, V., Soman, K. et al. (2020). Investigating the significance of dynamic mode decomposition for fast and accurate parameter estimation in power grids. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.

Publisher : IEEE

Year : 2020

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading

Cite this Research Publication : R. Balasubramanian, Vishvanathan, S., Gopalakrishnan, E. A., Menon, V., V, S. V., and Dr. Soman K. P., “Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading”, in 2020 11th International Conference on Computing, Communication and Networking Technologies, 2020.

Year : 2020

Deep Learning Based Approach for Multiple Myeloma Detection

Cite this Research Publication : M. T. Vyshnav, Sowmya, V., Gopalakrishnan, E. A., V.V., S. Variyar, Menon, V. Krishna, and Dr. Soman K. P., “Deep Learning Based Approach for Multiple Myeloma Detection”, in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020.

Publisher : IEEE

Year : 2020

Facial Emotion Recognition Using Shallow CNN

Cite this Research Publication : T. K. Sachin Saj, Babu, S., Reddy, V. Kiran, Gopika, P., Sowmya, V., and Dr. Soman K. P., “Facial Emotion Recognition Using Shallow CNN”, in Machine Learning and Metaheuristics Algorithms, and Applications, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network

Cite this Research Publication : S. Sriram, R. Vinayakumar, Sowmya V., Mamoun Alazab, and Dr. Soman K. P., “Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network”, in IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada, 2020, pp. 740-745.

Publisher : IEEE

Year : 2020

Identifying epiphytes in drones photos with a conditional generative adversarial network (C-GAN)

Cite this Research Publication : Shashank Anivilla, Sajith Variyar V. V., Sowmya V., Dr. Soman K. P., Ramesh Sivanpillai, and Greg Brown, “Identifying epiphytes in drones photos with a conditional generative adversarial network (C-GAN)”, in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, pp. 99-104.

Publisher : ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2020

Comparison of Image Enhancement Techniques for Rapid Processing of POST Flood Images

Cite this Research Publication : M. Harichandana, Sowmya V., Sajith Variyar V. V., and Ramesh Sivanpillai, “Comparison of Image Enhancement Techniques for Rapid Processing of POST Flood Images”, in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, pp. 45-50.

Publisher : The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Year : 2020

Effect of Data Pre-processing on Brain Tumor Classification Using Capsulenet

Cite this Research Publication : V. R. Kurup, Sowmya, V., and Dr. Soman K. P., “Effect of Data Pre-processing on Brain Tumor Classification Using Capsulenet”, in ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Capsule Network for Plant Disease and Plant Species Classification

Cite this Research Publication : V. R. Kurup, Anupama, M. A., Vinayakumar, R., Sowmya, V., and Dr. Soman K. P., “Capsule Network for Plant Disease and Plant Species Classification”, in Computational Vision and Bio-Inspired Computing, Cham, 2020.

Publisher : Springer International Publishing, Cham

Year : 2020

Remote Sensing Image Super-Resolution Using Residual Dense Network

Cite this Research Publication : A. Jayanarayan, Sowmya, V., and Dr. Soman K. P., “Remote Sensing Image Super-Resolution Using Residual Dense Network”, in Advances in Intelligent Systems and Computing, Singapore, 2020.

Publisher : Springer Singapore

Year : 2020

Deep Convolutional Neural Network Based Image Spam Classification

Cite this Research Publication : S. Srinivasan, Ravi, V., V, S., Krichen, M., Ben Noureddine, D., Anivilla, S., and Dr. Soman K. P., “Deep Convolutional Neural Network Based Image Spam Classification”, in 2020 6th Conference on Data Science and Machine Learning Applications (CDMA), 2020.

Publisher : 2020 6th Conference on Data Science and Machine Learning Applications (CDMA)

Year : 2019

Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform

Cite this Research Publication : Gopika, P., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform”. International Conference on Advances in Computing and Communication. November 6 – 7, 2019, Hyderabad, India.

Publisher : IEEE

Year : 2019

Convolutional Neural Networks for Placenta Cell Classification

Cite this Research Publication : E. Rohith, Sowmya, V., and Dr. Soman K. P., “Convolutional Neural Networks for Placenta Cell Classification”, in 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India, 2019.

Publisher : IEEE

Year : 2019

Indian Car Number Plate Recognition using Deep Learning

Cite this Research Publication : N. R Babu, Sowmya, V., and Dr. Soman K. P., “Indian Car Number Plate Recognition using Deep Learning”, in 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India, 2019.

Publisher : IEEE

Year : 2019

Spatio-Spectral Compression and Analysis of Hyperspectral Images using Tensor Decomposition

Cite this Research Publication : R. K. Renu, Sowmya, and Dr. Soman K. P., “Spatio-Spectral Compression and Analysis of Hyperspectral Images using Tensor Decomposition”, in 2018 24th National Conference on Communications, NCC 2018, Hyderabad; India, 2019.

Publisher : 2018 24th National Conference on Communications, NCC 2018

Year : 2019

Single-plane scene classification using deep convolution features

Cite this Research Publication : N. Damodaran, Sowmya, Govind, D., and Dr. Soman K. P., “Single-plane scene classification using deep convolution features”, in Advances in Intelligent Systems and Computing, 2019, vol. 900, pp. 743-752.

Publisher : Springer Verlag

Year : 2019

Opportunities and challenges of launching UAVs within wooded areas

Cite this Research Publication : Sajith Variyar V. V., Sowmya, V., Gopalakrishnan, E. A., Dr. Soman K. P., Sivanpillai, R., and Brown, G. K., “Opportunities and challenges of launching UAVs within wooded areas”, in ASPRS Annual Conference and International Lidar Mapping Forum 2019, 2019.

Publisher : ASPRS Annual Conference and International Lidar Mapping Forum 2019

Year : 2019

Dimensionally reduced features for hyperspectral image classification using deep learning

Cite this Research Publication : K. S. Charmisha, Sowmya, and Dr. Soman K. P., “Dimensionally reduced features for hyperspectral image classification using deep learning”, in Lecture Notes in Electrical Engineering, 2019, vol. 500, pp. 171-179.

Publisher : Springer Verlag

Year : 2019

Deep rectified system for high-speed tracking in images

Cite this Research Publication : V. S. Mohan, Vinayakumar, R., Sowmya, and Dr. Soman K. P., “Deep rectified system for high-speed tracking in images”, in Journal of Intelligent and Fuzzy Systems, 2019, vol. 36, pp. 1957-1965.

Publisher : IOS Press

Year : 2019

A complex network approach for plant growth analysis using images

Cite this Research Publication : Sajith, V. V., Gopalakrishnan, E. A., Sowmya, V. and Soman, K. P. “A Complex Network Approach for Plant Growth Analysis using Images”. International Conference on Communication and Signal Processing. April 4 – 6, 2019, Tamil Nadu, India.

Publisher : Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019

Year : 2019

Breast cancer classification using capsule network with preprocessed histology images

Cite this Research Publication : M. A. Anupama, Sowmya, and Dr. Soman K. P., “Breast cancer classification using capsule network with preprocessed histology images”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, Melmaruvathur; India, 2019.

Publisher : Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019

Year : 2018

Effect of dynamic mode decomposition-based dimension reduction technique on hyperspectral image classification

Cite this Research Publication : P. Megha, Sowmya, and Dr. Soman K. P., “Effect of dynamic mode decomposition-based dimension reduction technique on hyperspectral image classification”, in Lecture Notes in Electrical Engineering, 2018, vol. 490, pp. 89-99.

Publisher : Lecture Notes in Electrical Engineering

Year : 2018

Effect of decolorized images in scene classification using deep convolution features

Cite this Research Publication : N. Damodaran, Sowmya, Govind, D., and Dr. Soman K. P., “Effect of decolorized images in scene classification using deep convolution features”, in Procedia Computer Science, 2018, vol. 143, pp. 954-961.

Publisher : Procedia Computer Science

Year : 2018

Dimensionality Reduction of Hyperspectral Images for Classification using Randomized Independent Component Analysis

Cite this Research Publication : C. Jayaprakash, Damodaran, B. B., Sowmya, and Dr. Soman K. P., “Dimensionality Reduction of Hyperspectral Images for Classification using Randomized Independent Component Analysis”, in 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Amity School of Engineering and Technology, Noida, India, 2018.

Publisher : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc., Amity School of Engineering and Technology, Noida, India.

Year : 2018

Deep Neural Networks as Feature Extractors for Classification of Vehicles in Aerial Imagery

Cite this Research Publication : V. S. Mohan, Sowmya, and Dr. Soman K. P., “Deep Neural Networks as Feature Extractors for Classification of Vehicles in Aerial Imagery”, in 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, 2018.

Publisher : 2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018, Institute of Electrical and Electronics Engineers Inc.

Year : 2018

Deep alexnet with reduced number of trainable parameters for satellite image classification

Cite this Research Publication : A. Unnikrishnan, Sowmya, and Dr. Soman K. P., “Deep alexnet with reduced number of trainable parameters for satellite image classification”, in Procedia Computer Science, 2018.

Publisher : Procedia Computer Science, Elsevier B.V .

Year : 2018

A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods

Cite this Research Publication : N. V. Jacob, Sowmya, and Dr. Soman K. P., “A Comparative Analysis of Total Variation and Least Square Based Hyperspectral Image Denoising Methods”, in Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, Adhiparasakthi Engineering CollegeMelmaruvathur, Chennai; India, 2018, pp. 58-63.

Publisher : Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018

Year : 2017

Least square based image deblurring

Cite this Research Publication : Jose, S., Mohan, Neethu, Sowmya, V., & Soman, K. (2017). Least square based image deblurring. In 2017 International Conference on Advances In Computing, Communications and Informatics (ICACCI) (pp. 1453–1457). IEEE.

Publisher : IEEE

Year : 2017

Improved color scene classification system using deep belief networks and support vector machines

Cite this Research Publication : Sowmya, Ajay, A., Dr. Govind D., and Dr. Soman K. P., “Improved color scene classification system using deep belief networks and support vector machines”, in 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching, Sarawak; Malaysia, 2017, pp. 12-14 .

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Hyperspectral image denoising: A least square approach using wavelet filters

Cite this Research Publication : V. S. Dev, Rajan, S., Sowmya, and Dr. Soman K. P., “Hyperspectral image denoising: A least square approach using wavelet filters”, in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 2017.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

Year : 2016

ℓ1 Trend Filter for Image Denoising

Cite this Research Publication : S. Selvin, Ajay, S. G., Gowri, B. G., and Dr. Soman K. P., “ℓ1 Trend Filter for Image Denoising”, in Procedia Computer Science, 2016, vol. 93, pp. 495-502.

Publisher : Procedia Computer Science, Elsevier.

Year : 2016

X-ray Image Classification Based On Tumor using GURLS and LIBSVM

Cite this Research Publication : P. A, R, M., Sowmya, and Dr. Soman K. P., “X-ray Image Classification Based On Tumor using GURLS and LIBSVM”, in International Conference on Communications and Signal Processing (ICCSP’16), Adhiparasakthi Engineering College, Melmaruvathur , 2016.

Publisher : International Conference on Communications and Signal Processing (ICCSP’16)

Year : 2016

Low Contrast Satellite Image Restoration based on adaptive Histogram Equalization and Discrete Wavelet Transform

Cite this Research Publication : M. P, M, S., Sowmya, and Dr. Soman K. P., “Low Contrast Satellite Image Restoration based on adaptive Histogram Equalization and Discrete Wavelet Transform”, in - 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Adhiparasakthi Engineering College, Melmaruvathur , 2016.

Publisher : - 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15

Year : 2016

Dimensionality Reduction Using Band Selection Technique for Kernel Based Hyperspectral Image Classification

Cite this Research Publication : R. Reshma, Sowmya, Dr. Soman K. P., J., M., and J., J., “Dimensionality Reduction Using Band Selection Technique for Kernel Based Hyperspectral Image Classification”, in 6th International Conference on Advances in Computing and Communications , ICACC-2016, Rajagiri School of Engineering & Technology, 2016, vol. 93, pp. 396-402.

Publisher : 6th International Conference on Advances in Computing and Communications , ICACC-2016

Year : 2016

Application of Least Square Denoising to Improve ADMM Based Hyperspectral Image Classification

Cite this Research Publication : S. Srivatsa, Ajay, A., Chandni, C. K., Sowmya, and Dr. Soman K. P., “Application of Least Square Denoising to Improve ADMM Based Hyperspectral Image Classification”, in 6th International Conference on Advances in Computing and Communications , ICACC-2016, Rajagiri School of Engineering & Technology, 6-8 September 2016, 2016, vol. 93, pp. 416-423.

Publisher : 6th International Conference on Advances in Computing and Communications , ICACC-2016

Year : 2015

Aerial Image Classification using GURLS and LIBSVM

Cite this Research Publication : A. Joy, Merlin, D., .K, D., Sowmya, and Dr. Soman K. P., “Aerial Image Classification using GURLS and LIBSVM”, in 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15, Adhiparasakthi Engineering College, Melmaruvathur , 2015.

Publisher : 5th IEEE International Conference on Communication and Signal Processing-ICCSP'15

Year : 2014

A novel approach for denoising coloured remote sensing image using Legendre Fenchel Transformation

Cite this Research Publication : S. Santhosh, Abinaya, N., Rashmi, G., Sowmya, and Dr. Soman K. P., “A novel approach for denoising coloured remote sensing image using Legendre Fenchel Transformation”, in 2014 International Conference on Recent Trends in Information Technology, ICRTIT 2014, Chennai, India, 2014.

Publisher : 2014 International Conference on Recent Trends in Information Technology, ICRTIT 2014

Year : 2014

Image Classification using Deep Learning Features

Cite this Research Publication :

Publisher : International Conference on Emerging Trends in Electrical Engineering-ICETREE

Year : 2012

Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel

Cite this Research Publication : P. K. Indukala, Lakshmi, K., Sowmya V., and Dr. Soman K. P., “Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 69-72, 2012

Publisher : IEEE

Conference Proceedings

Year : 2019

Performance Improvement of Residual Skip Convolutional Neural Network for Myocardial Disease Classification

Cite this Research Publication : Gopika, P., Sowmya, V., Gopalakrishnan, E. A. and Soman, K. P. “Performance Improvement of Residual Skip Convolutional Neural Network for Myocardial Disease Classification”, International Conference on Intelligent Computing and Communication Technologies. January 9 – 11, 2019, Hyderabad, India.

Year : 2018

Vehicle detection in Aerial imagery using Eigen features

Cite this Research Publication : Sowmya, Aleena Ajay, and Dr. Soman K. P., “Vehicle detection in Aerial imagery using Eigen features”, IEEE International Conference on Communication and Signal Processing-ICCSP'17. IEEE, Adhiparasakthi Engineering College, Melmaruvathur , pp. 1620-1624, 2018.

Publisher : Adhiparasakthi Engineering College, Melmaruvathur

Year : 2018

Sparse Image Denoising using Dictionary constructed based on Least Square Solution

Cite this Research Publication : Sowmya, V. Ankarao, and Dr. Soman K. P., “Sparse Image Denoising using Dictionary constructed based on Least Square Solution”, International Conference on Wireless Communications Signal Processing and Networking (WISPNET) 2017. IEEE, SSN College of Engineering, Chennai, India, pp. 1165-1171, 2018.

Publisher : International Conference on Wireless Communications Signal Processing and Networking (WISPNET) 2017

Year : 2018

Image Dehazing Using Variational Mode Decomposition

Cite this Research Publication : Sowmya, Hima . T.Suseelan, and Dr. Soman K. P., “Image Dehazing Using Variational Mode Decomposition”, International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2017). IEEE, SSN College of Engineering, Chennai, India, pp. 200-205, 2018.

Publisher : IEEE

Year : 2018

Effect of Denoising on Vectorized Convolutional Neural Network for Hyperspectral Image Classification

Cite this Research Publication : Sowmya, Deepa Merlin Dixon.K, and Dr. Soman K. P., “Effect of Denoising on Vectorized Convolutional Neural Network for Hyperspectral Image Classification”, International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), Lecture Notes in Electrical Engineering, vol. 490. Springer Nature Singapore Pte Ltd. 2018, VIT University, Chennai Campus, India, pp. 305-313, 2018.

Publisher : Springer Nature Singapore

Year : 2018

Dependency of Various Color and Intensity Planes on CNN Based Image Classification

Cite this Research Publication : Dr. Govind D., Sowmya, Sachin, R., and Dr. Soman K. P., “Dependency of Various Color and Intensity Planes on CNN Based Image Classification”, Advances in Intelligent Systems and Computing, International Symposium on Signal Processing and Intelligent Recognition Systems SIRS 2017, vol. 678. Springer International Publishing AG 2018, Manipal, India, pp. 167-177, 2018.

Publisher : Springer International Publishing AG 2018

Year : 2017

Significance of contrast and structure features for an improved color image classification system

Cite this Research Publication : Sowmya, Dr. Govind D., and Dr. Soman K. P., “Significance of contrast and structure features for an improved color image classification system”, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). pp. 210-215, 2017.

Publisher : 2017 IEEE International Conference on Signal and Image Processing Applications

Year : 2017

Performance Evaluation of Edge Feature Extracted using Sparse Banded Matrix Filter Applied for Face Recognition

Cite this Research Publication : Ashwini, B., Mohan, Neethu, Se, S., Sowmya, V., & Soman, K. (2017). Performance evaluation of edge feature extracted using sparse banded matrix filter applied for face recognition. In 2017 International Conference On Circuit, Power And Computing Technologies (ICCPCT) (pp. 1–5). IEEE.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017,

Year : 2017

Least Square Denoising in Spectral Domain for Hyperspectral Images

Cite this Research Publication : Chippy Jayaprakash, Naveen Varghese Jacob, Renu .R.K., Sowmya, and Dr. Soman K. P., “Least Square Denoising in Spectral Domain for Hyperspectral Images”, Procedia Computer Science, 7th International Conference on Advances in Computing and Communications , ICACC-2017, vol. 115. Elsevier, Rajagiri School of Engineering & Technology, Kochi, Kerala, India, pp. 399-406, 2017.

Publisher : Procedia Computer Science, 7th International Conference on Advances in Computing and Communications , ICACC-2017, Elsevier,

Year : 2017

Image Denoising based on Weighted Regularized Least Square Method

Cite this Research Publication : M .Srikanth, K.S. Gokul Krishnan, Sowmya, and Dr. Soman K. P., “Image Denoising based on Weighted Regularized Least Square Method”, IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering, Kerala, pp. 19-20, 2017.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017.

Year : 2017

Effect of Dynamic Mode Decomposition Based Dimension Reduction Technique on Hyperspectral Image Classification

Cite this Research Publication : Sowmya, Megha .P, and Dr. Soman K. P., “Effect of Dynamic Mode Decomposition Based Dimension Reduction Technique on Hyperspectral Image Classification”, International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2. LNEE Springer Proceedings, VIT University, Chennai Campus, India, pp. 23-25 , 2017.

Publisher : International Conference on Nextgen Electronic Technologies: Silicon to Software

Year : 2017

Effect of Denoising on Dimensionally Reduced Sparse Hyperspectral Unmixing

Cite this Research Publication : Swarna .M, Sowmya, and Dr. Soman K. P., “Effect of Denoising on Dimensionally Reduced Sparse Hyperspectral Unmixing”, 7th International Conference on Advances in Computing and Communications , ICACC-2017, vol. 115. Elsevier, Rajagiri School of Engineering & Technology, pp. 391-398, 2017.

Publisher : 7th International Conference on Advances in Computing and Communications , ICACC-2017, Elsevier,

Year : 2017

Comparative Analysis of Sparsity based and Kernel based algorithms for Hyperspectral Image Classification

Cite this Research Publication : Vishnu Pradeep V, Reshma R, Sowmya, and Dr. Soman K. P., “Comparative Analysis of Sparsity based and Kernel based algorithms for Hyperspectral Image Classification”, IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering, Kerala, pp. 19-20, 2017.

Publisher : IEEE International Conference on Circuit, Power and Computing, ICCPCT-2017. Baselious Mathews II College of Engineering,

Year : 2016

Performance enhancement of minimum volume-based hyperspectral unmixing algorithms by empirical wavelet transform

Cite this Research Publication : P. G. Mol, Sowmya, and Dr. Soman K. P., “Performance enhancement of minimum volume-based hyperspectral unmixing algorithms by empirical wavelet transform”, International Conference on Soft Computing Systems (ICSCS 2015), Advances in Intelligent Systems and Computing, vol. 397. AISC Springer Series, Noorul Islam Centre for Higher Education, Kumaracoil; India, pp. 251-256, 2016.

Publisher : AISC Springer Series

Year : 2016

Hyperspectral image denoising using legendre-fenchel transform for improved sparsity based classification

Cite this Research Publication : N. Haridas, Aswathy, C., Sowmya, and Dr. Soman K. P., “Hyperspectral Image Denoising Using Legendre-Fenchel Transform for Improved Sparsity Based Classification”, Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, vol. 384. Springer, SCMS School of Engineering, Aluva, Kochi , pp. 521–528, 2016.

Publisher : Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Springer

Year : 2016

Dimensionality reduced recursive filter features for hyperspectral image classification

Cite this Research Publication : L. S. Kiran, Sowmya, and Dr. Soman K. P., “Dimensionality reduced recursive filter features for hyperspectral image classification”, Advances in Intelligent Systems and Computing, Second International Conference on Computer and Communication Technologies (IC3T -2015), vol. 380. AISC Springer Series(SCOPUS, ISI proceedings), CMR Technical Campus, Hyderabad, pp. 557-565, 2016.

Publisher : AISC Springer Series

Year : 2016

Analysis of various color space models on effective single image super resolution

Cite this Research Publication : N. John, Viswanath, A., Sowmya, and Dr. Soman K. P., “Analysis of various color space models on effective single image super resolution”, Advances in Intelligent Systems and Computing, International Symposium on Intelligent Systems Technologies and Applications (ISTA-15), co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, vol. 384. Springer Verlag, Kochi, India, pp. 529-540, 2016.

Publisher : Springer Verlag

Year : 2015

Hyperspectral Image Denoising using Low Pass Sparse Banded Filter Matrix for Improved Sparsity Based Classification

Cite this Research Publication : C. Aswathy, Sowmya, and Dr. Soman K. P., “Hyperspectral Image Denoising using Low Pass Sparse Banded Filter Matrix for Improved Sparsity Based Classification”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi, pp. 26–33, 2015.

Publisher : Elsevier Procedia Computer Science Journal, SCMS School of Engineering,

Year : 2015

Hyperspectral image denoising using legendre Fenchel Transformation for improved Multinomial Logistic Regression based classification

Cite this Research Publication : C. Aswathy, Sowmya, Gandhiraj R., and Dr. Soman K. P., “Hyperspectral image denoising using legendre Fenchel Transformation for improved Multinomial Logistic Regression based classification”, 4th IEEE International Conference on Communications and Signal Processing (ICCSP), 2015 . IEEE, Adhiparasakthi Engineering College , Melmaruvathur, pp. 1670 - 1674, 2015.

Publisher : IEEE

Year : 2015

Hyperspectral image classification using Random Kitchen Sink and Regularized Least Squares

Cite this Research Publication : N. Haridas, Sowmya, and Dr. Soman K. P., “Hyperspectral image classification using Random Kitchen Sink and Regularized Least Squares”, 4th IEEE International Conference on Communications and Signal Processing (ICCSP), 2015 . IEEE, Adhiparasakthi Engineering College , Melmaruvathur, pp. 1665 - 1669, 2015.

Publisher : , IEEE, Adhiparasakthi Engineering College

Year : 2015

Fast Fourier Transform and Nonlinear Circuits Based Approach for Smart Meter Data Security

Cite this Research Publication : J. M Babu, Sowmya, and Dr. Soman K. P., “Fast Fourier Transform and Nonlinear Circuits Based Approach for Smart Meter Data Security”, International Conference onSmart Grid Technologies (ICSGT’15). Elsevier Procedia Technology, Amrita School of Engineering, Coimbatore, pp. 287–294, 2015.

Publisher : Elsevier Procedia Technology

Year : 2015

Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification

Cite this Research Publication : N. Haridas, Sowmya, and Dr. Soman K. P., “Comparative Analysis of Scattering and Random Features in Hyperspectral Image Classification”, Second International Symposium on Computer Vision and the Internet (VisionNet’15). Elsevier Procedia Computer Science Journal, SCMS School of Engineering, Aluva, Kochi, pp. 307 – 314, 2015.

Publisher : Elsevier Procedia Computer Science Journal

Year : 2015

ADMM based algorithm for spike and smooth signal separation using over-complete dictionary

Cite this Research Publication : K. Harikumar, Athira, S., Nair, Y. C., Sowmya, and Dr. Soman K. P., “ADMM based algorithm for spike and smooth signal separation using over-complete dictionary”, 4th IEEE International Conference on Communication and Signal Processing-ICCSP'15. IEEE, Adhiparasakthi Engineering College , Melmaruvathur , pp. 1617 - 1622, 2015.

Publisher : IEEE

Year : 2014

Comparison of Performance Analysis of Image Classification by K-Means and Bisecting K-Means

Cite this Research Publication :

Publisher : 4th National Conference on Advanced Trends in Information and Computing Sciences (NCATICS’14)

Year : 2013

An experimental study on application of orthogonal matching pursuit algorithm for image denoising

Cite this Research Publication : Suchithra M., Sukanya, P., Prabha, P., Sikha O. K., Sowmya, and Dr. Soman K. P., “An experimental study on application of orthogonal matching pursuit algorithm for image denoising”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 729-736, 2013.

Publisher : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

Year : 2013

A comparative study of spike and smooth separation from a signal using different overcomplete dictionary

Cite this Research Publication : G. Aarthy, Amitha, P. L., Krishnan, T., Pillai, G. S., Sowmya, and Dr. Soman K. P., “A comparative study of spike and smooth separation from a signal using different overcomplete dictionary”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 590-595, 2013.

Publisher : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

Year : 2013

2D Image Data Approximation using Savitzky-Golay Filter – Smoothing and Differencing

Cite this Research Publication : B. G. Gowri, Hariharan, V., Thara, S., Sowmya, Kumar, S. S., and Dr. Soman K. P., “2D Image data approximation using Savitzky Golay filter - Smoothing and differencing”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 365-371, 2013.

Publisher : IEEE

Year : 2012

Visualization of OFDM using Microsoft Excel spreadsheet in Linear Algebra Perspective

Cite this Research Publication : R. Anand, Prabha, P., Sikha, O. K., Suchithra, M., Dr. Soman K. P., and Sowmya V., “Visualization of OFDM using Microsoft Excel spreadsheet in Linear Algebra Perspective”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 58-64, 2012

Publisher : IEEE

Year : 2012

Computation of continuous wavelet transform using microsoft excel spreadsheet

Cite this Research Publication : P. Prabha, Sikha O. K., Suchithra M., Sukanya, P., Sowmya, and Dr. Soman K. P., “Computation of continuous wavelet transform using microsoft excel spreadsheet”, Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 73-77, 2012.

Publisher : IEEE

Year : 2011

An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery

Cite this Research Publication : B. D Bhushan, Sowmya V., M Manikandan, S., and Dr. Soman K. P., “An Effective Pre-processing Algorithm for Detecting Noisy Spectral Bands in Hyperspectral Imagery”, International Symposium on Ocean Electronics, SYMPOL 2011. IEEE, Kochi, pp. 34 - 39, 2011.

Publisher : IEEE

Year : 2011

A Decision Tree Based Land Cover Image Classification Using Color Space and Texture

Cite this Research Publication : Sowmya, “A Decision Tree Based Land Cover Image Classification Using Color Space and Texture”, IEEE International Conference on Computational Intelligence and Computing Research. IEEE, Cape Institute of Technology, Levengipuram, Kanyakumari, India, 2011.

Publisher : Cape Institute of Technology

Year : 2010

Super resolution blind reconstruction of low resolution images using framelets based fusion

Cite this Research Publication : B. D. Bhushan, Sowmya, and Dr. Soman K. P., “Super resolution blind reconstruction of low resolution images using framelets based fusion”, International Conference on Recent Trends in Information, Telecommunication, and Computing ITC 2010. IEEE, Kochi, Kerala, pp. 100-104, 2010.

Publisher : IEEE

Newspaper Article

Year : 2013

Voice Your Views -5 –Should the death penalty be abolished?

Cite this Research Publication : Sowmya, “Voice Your Views -5 –Should the death penalty be abolished?”, The Hindu Metroplus, CBE Edition , Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -4- What do you think should be censored from movies?

Cite this Research Publication : Sowmya, “Voice Your Views -4- What do you think should be censored from movies?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -3- Favorite yet unusual getaways at Coimbatore

Cite this Research Publication : Sowmya, “Voice Your Views -3- Favorite yet unusual getaways at Coimbatore”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2013

Voice Your Views -2 – Is Coimbatore Safe for Women?

Cite this Research Publication : Sowmya, “Voice Your Views -2 – Is Coimbatore Safe for Women?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2013.

Publisher : The Hindu Metroplus, CBE Edition

Year : 2012

Voice Your Views -1 –Is there a way to segregate the volume of garbage we generate?

Cite this Research Publication : Sowmya, “Voice Your Views -1 –Is there a way to segregate the volume of garbage we generate?”, The Hindu Metroplus, CBE Edition, Coimbatore, 2012.

Publisher : The Hindu Metroplus, CBE Edition

Funded Projects
  • Co-Investigator in “Screening, Diagnosing, Staging of Retinopathy of Prematurity in Preterm and Low Birth Weight Infants Using AI” funded by Indian Council of Medical Research (ICMR) sanctioned in January 2024. Duration: (Jan 2024 to Dec 2026).
  • “Development and Implementation of a Robust Pre-Processing Technique for Detection Improvement in Passive SONAR” under Contract for Acquisition of Research Services (CARS) by Government of India, Ministry of Defence Research and Development Organisation, Naval Physical Ocenographic Laboratory (NPOL), Kochi. (Duration: Dec 2020 to Dec 2021).
Outcome of Internal Seed Funding

Received the internal seed fund (IFRP_4) which paved the way for International Collaboration with University of Wyoming. This progressed to the joint International Conference Publication in the American Society for Photogrammetry and Remote sensing (ASPRS) held at Denver, 2019. [Link]

Professional Experience
  • Programmer Analyst Trainee at Cognizant Technology Solutions, Chennai (August 2010 -June 2011).
  • Assistant Professor, Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, (July 2011 – October 2015).
  • Successfully defended her Ph. D. Thesis titled, “Significance of Incorporating Chrominance Information for Scene Classification” on July 2018 under the supervision of Dr. D. Govind, Assistant Professor (SG), CEN, and Dr. K. P. Soman, Professor & Head, CEN, Amrita School of Engineering, Coimbatore.
  • Assistant Professor (Senior Grade), Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, (November 2015 – June 2021).
  • Assistant Professor (Selection Grade), Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, (July 2021 – June 2024).
  • Associate Professor, Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham (July 2024 – Till Date).
Professional Achievements
  • International Level Collaborator with Prince Mohammad Bin Fahd University, Saudi Arabia.
  • Recipient of Best Session Award for organizing the Special Session on “Artificial Intelligence for Smart Healthcare” in the World Conference in Virtual Format on “Congress on Intelligent Systems (CIS-2020) conducted by Soft Computing Research Society in association with Springer Publications during September 05 – 06, 2020.
  • Received “Women In AI Leadership Awards 2019 (Only Academician among the winners)” sponsored by Jigsaw Academy, during the one day Conference, “The Rising 2019” on Women in Analytics and AI, organized by the Analytics India on March 8, 2019 at Taj Hotel, Bangalore.
  • Awarded with Deep Learning Instructor Ambassadorship Grant by NVIDIA (December 2018).
  • Invited Speaker by Premier National Institutes to deliver lectures on “Deep Learning and its Applications in Image Processing”.
  • Organizer of the “Special Session on Artificial Intelligence and Machine Learning Applications (AIML)”, in the Scopus Indexed Springer International Conferences.
  • Recipient of several National Awards for Teaching and Research.
  • Author of more than 100 Scopus Indexed Publications in the area of Machine Learning and Deep Learning applied to Signal and Image Analysis, attained through M.Tech Projects Guidance.
  • International Level Collaborator with University of Wyoming in the research area of “Image Analysis and Drones”.
Webinars Rendered during COVID 2020-2021
  • Session on “Prospects of AI/Ml in Signal Processing” at the 5-days workshop on “Applications of AI and ML in Power and Electronics Engineering Challenges” conducted during 21st to 25th September 2021 organized by the IEEE PES Association at RV College of Engineering, Bangalore.
  • Session on “AI for Biomedical Signal Analysis” at the DBT sponsored National Level Seminar on “Artificial Intelligence in Diabetes and Heart Diseases: A Technology Driven Progress in Healthcare” conducted during 22nd to 23rd September 2021 organized by the Department of ECE at Sri Shakthi Institute of Engineering and Technology, Coimbatore.
  • Session on “Deep Learning Based Algorithms for Image Analysis” at the KTU sponsored Faculty Development Program on “Research Perspectives of Machine Learning and Deep Learning for Signal Processing Applications” conducted during 6th to 10th September 2021 organized by the Department of ECE at Sree Chitra Thirunal College of Engineering, Kerala.
  • Session on “Applications of DL Techniques in Image Processing” at the ATAL Faculty Development Program on “AI Applications in Biomedical Engineering” conducted from 2nd to 6th August 2021 organized by the Department of EEE at NIT, Calicut.
  • Session on “Deep Learning Based Approaches for Biomedical Data Analysis” at the KTU sponsored Faculty Development Program on “Deep Learning of Image and Video Applications” conducted on 15th June 2021 organized by the Department of ECE at LBS College of Engineering, Kasargod, Kerala.
  • Session on “AI for Biomedical Image Analysis” at the 5-days Faculty Training Program on “Recent Advances in Image Processing and Computer Vision” conducted on May 17-21, 2021 organized by the Department of CSE at LBS Institute of Technology for Women, Trivandrum, Kerala.
  • Session on “Beneficial AI for Humanity” at the webinar series titled, “Unravelling Technologies of the Future” conducted on 4th June 2021 organized by CLEMENTIA, the CSE Department Association at Sreepathy Institute of Management and Technology, Kerala.
  • Session on “AI in Computer Vision” organized by Technology Enabling Center (TEC), Amrita Vishwa Vidyapeetham on February 27, 2021.
  • Session on “Constrained Optimization and Support Vector Machines” in the AICTE sponsored Online FDP on “Machine Learning and Optimization” organized by Ahalia School of Engineering and Technology, Kerala on February 24, 2021.
  • Session on “AI for Biomedical Image Analysis” in the ATAL sponsored Online FDP organized by Department of Biomedical Engineering, Model Engineering College, Kerala on February 22, 2021.
  • Session on “Drone Image Analysis Using Deep Learning for Agricultural Applications” in 5 – Days AICTE – ATAL Sponsored FDP on “Artificial Intelligence, Machine Learning and Deep Learning”, organized by Department of ECE, Karpagam College of Engineering, Coimbatore on February 5, 2021.
  • Session on “AI in Signal Processing” in the one week AICTE sponsored STTP on “Artificial Intelligence” organized by Department of ECE, Sona College of Technology, Salem on January 6, 2021.
  • Session on “AI for Healthcare” in the AICTE Sponsored STTP on “Leveraging Artificial Intelligence and Data Analytics for Helathcare” organized by K.J.Somaiya Institute of Engineering and Information Technology, Mumbai on January 4, 2021.
  • Session on “Artificial Intelligence and Deep Learning” in the FDP, organized by Department of ECE, Kalasalingam Academy of Research and Education on December 31, 2020.
  • Session on “Concepts of Data Science” in the AICTE Sponsored STTP on “IOT and DataScience”, organized by Department of ECE, St.Joseph’s College of Engineering and Technology, Keral on December 28, 2020.
  • Session on “Supervised Deep Learning Based Approaches for Image Analysis” in the AICTE sponsored 6 days STTP on Supervised and Unsupervised Machine Learning Using Google Cloud, organized by Department of ECE, R.M.K.College of Engineering and Technology, Chennai on November 21, 2020.
  • Session on “Efficacy of Artificial Intelligence”, in “HER TALKS – The Virtual Meetup”, organized by the software development company: Informatica on November 19, 2020.
  • Session on “Biomedical Processing” in the 5 – Days AICTE – ATAL Sponsored FDP on Data Sciences, organized by Department of Information Technology, National Institute of Technology Karnataka (NIT-K), Surathkal on September 25, 2020.
  • Session on “Artificial Intelligence for HealthCare” in the Short Term Training Program (STTP) on “Biomedical Systems Design using Artificial Intelligence & Machine Learning” sponsored by AICTE, Delhi and organized by Biomedical Engineering and Technology Incubation Center, Nagpur and Department of Artificial Intelligence, G.H.Raisoni College of Engineering, Nagpur on September 9, 2020.
  • Session on “Efficacy of Artificial Intelligence” hosted by the Department of Computer Science, and Engineering, KMEA engineering College, Kerala in association with Computer Society of India on June 8, 2020.
  • Session on “Expert View on Artificial Intelligence and Data Science (Courses after 12th exam)” hosted by Shiksha.com belongs to Info Edge (India) Ltd, the owner of established brands like Naukri.com, 99acres.com, Jeevansathi.com on May 15, 2020.
  • Session on “Efficacy of Artificial Intelligence” hosted by the Department of Mathematics with Computer Applications, Shri Nehru Maha Vidyalaya College of arts and Sciences and Institute of Management, affiliated to Bharathiar University, Coimbatore on May 6, 2020.
Awards
  • “Chancellor’s Award for Extramural Grant” and“Chancellor’s Publication Excellence”in Amrita Innovation and Research Awards (AIRA) organized by Amrita Vishwa Vidyapeetham in 2025.
  • “Young Research Achiever Award” in National Science Day Celebrations: Academic, Innovation & Society Achievers Awards 2024 organized by Prosper Foundation at Theni on May 12, 2024.
  • “Top Cited Article 2022 -2023” by Wiley: “A two-stage deep learning framework for image-based android malware detection and variant classification” published in Computational Intelligence, 2023.
  • “Best Paper Award” for “CASe UNet: Multilevel Multiscale UNet for Medical Image Segmentation” in the Scopus Indexed Springer 4th International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN – 2023).
  •  “Chancellor’s Publication Excellence” and “Publication Merit” in Amrita Innovation and Research Awards (AIRA) organized by Amrita Vishwa Vidyapeetham in 2024.
  •  “Outstanding Researcher Award 2023” by Amrita Vishwa Vidyapeetham.
  •  “Pride of Indian Women Excellence Award 2023” by Dr APJ Abdul Kalam Skill Development Center, Kochi on March 8, 2023.
  •  “Chancellor’s Publication Excellence” and “Publication Merit” in Amrita Innovation and Research Awards (AIRA) organized by Amrita Vishwa Vidyapeetham in 2021.
  •  “Contribution to Student Development” in recognition for excellence in teaching at Education Excellence Awards 2021.
  •  “Dr.S.Radhakrishnan Bharat Shiksha” for the outstanding contributions in Mentoring on 5thSeptember 2021 by Bharat Shiksha, New Delhi.
  •  “National Women Excellence” by National Academy for Education, Pune in 2021.
  •  “Best Engineering College Teacher” by Society for Engineering Education Enrichment (SEEE) at Dr.N.G.P Institute of Technology, Coimbatore on July 20, 2019.
  •  “Bharat Excellence” and “Best Indian Global Personalities” by Friendship Forum of India at Delhi on July 28, 2019.
  • “Best Young Researcher Award” rendered by Integrated Intelligent Research Groups on Republic Day Achievers award 2018, celebrated at Loyola-ICAM College of Engineering and Technology (LICET), Chennai.
  • “Excellence in Research for the academic year 2016-2017” by Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham on 23rd Institution Day held on 10th January 2018.
  • “Young Women Educator and Researcher” by National Foundation for Entrepreneurship Development (NFED), Coimbatore on 4thWomen’s Day Awards celebrated on 8th March 2017 at Grand Reagent Coimbatore
  • “Young Women Achiever (in recognition of Your Role, Outstanding Contributions, Significant Achievements and Sustained Excellence in the field of Engineering) of the Women Awards – VIWA 2016” celebrated on 5 March 2016 at Radha Regent Chennai.
  • “Associate of the month of January 2011” for project excellence by Cognizant Technology Solutions (CTS), Chennai.
  • PG Merit Scholarship for University Rank Holders – Rs.40000 by University Grants Commission (UGC), New-Delhi in the year 2008.
  • University Rank Holder in B.Sc. (Chemistry and Physics)awarded in the year 2006 at Avinashilingam University, Coimbatore.
  • University Rank Holder in M.Tech. awarded in the year 2010 at Amrita Vishwa Vidyapeetham, Coimbatore.
Invited Talks
  • Session on “Explainable AI for Medical Image Analysis Using Python” in Online FDP on “Artificial Intelligence and Machine Learning for Medical Image Analysis – Python Perspective”, organized by CMR Institute of Technology, Bangalore during April 21-25, 2025.
  • Session on “Big Data in Healthcare: Challenges and Opportunities”, organized by the Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham on April 9, 2025.
  • Sessions on “Defining and Developing Deep Learning Architecture for Problem Solving” in the ICAR sponsored Short Course on “Data Analytics using Machine Learning and Deep Learning Techniques for Social Science Research”, organized by Agricultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore during February 11-20, 2025.
  • Session on “Remote Sensing based Groundwater studies using AI” in AICTE-ATAL sponsored 6 days Online FDP on “Artificial Intelligence in Satellite Image Processing & Applications”, organized by CMR Institute of Technology, Bangalore during January 20-25, 2025.
  • Sessions on “Introduction to Fundamentals of Generative AI” and Generative AI in Computer Vision” in the second edition “Winter School on Generative AI and LLMs” organized by Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore on January 6 – 10, 2025.
  • Session on “Explainable Artificial Intelligence for Healthcare Data Analysis” in AICTE-ATAL sponsored 6 days Online FDP on “Emerging Trends in Artificial Intelligence (AI): Innovations and Applications” organized by Sairam Engineering College, Chennai during December 16-21, 2024.
  • Session on “Fundamentals of Artificial Intelligence” in DST sponsored National Workshop on “Future Proof Technology: Securing Tomorrow’s Digital World”, organized by Erode Sengunthar Engineering College on November 28, 2024.
  • Sessions on “Image ProcessingUsing Python Programming” in the 5 daysFaculty Development Programme organized by Indian Institute of Information Technology (IIIT) Kottayam on June 10-14, 2024.
  • Session on “Artificial Intelligence for Healthcare Data Analysis” organized by Amrita Vishwa Vidyapeetham, Coimbatore on May 4, 2024.
  • Session on “AI Algorithms for Computer Vision Applications” in the1-week online Faculty Development Programme organized by Coimbatore Institute of Technology,on April 22 – 27, 2024.
  • Session on “AI Applied to Computer Vision” under “AI in Education” organized by EDUDEVS (School of Inspired Teaching and Learning) on April 30, 2024.
  • Session on “Recent Trends and Challenges in Medical Image Analysis in Python” in the 5 days online Faculty Development Programme organized by CMR Institute of Technology, Bangalore on March 18– 22, 2024.
  • Session on “Transformations in Education: Benefits and Challenges” in the International Conference on Educational Professionalism (ICEP’24), organized by Amrita Vishwa Vidyapeetham, Coimbatore on February 9 and 10, 2024.
  • Session on “Generative AI with Hands on Training using Python” in the Faculty Development Programme organized by Baselios College of Engineering and Technology, Trivandrum on January 29 to February 3, 2024.
  • Session on “Pedagogy: Power-Up: Igniting Student Engagement through Dynamic Teaching in Project Realms” in the Faculty Development Programmer organized by Sri Eshwar College of Engineering, Coimbatore on January 23, 2024.
  • Session on “Applications of Large Language Models in Computer Vision” in the Winter School Conducted by Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore on January 8 – 12, 2024.
  • Sessions on “Image Analysis with Hands-On Training in Python” in the 7 days online Faculty Development Programmeorganized by Indian Institute of Information Technology (IIIT) Kottayam on December 14-20, 2023.
  • Session on “Artificial Intelligence and Machine Learning for Satellite Image Analysis in Python” in the 5 days online Faculty Development Programmeorganized by CMR Institute of Technology, Bangalore on November21 – 24, 2023.
  • Sessions on “Advances in Deep Learning Models for Object Detection” in the 3 days online Faculty Development Programmeorganized by Cochin University of Science and Technology (CUSAT), Kerala on October26 – 28, 2023.
  • Session on “Transformers in Computer Vision” in the International Workshop on Computational Intelligence 2023 (ICWI’23), organized by Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham Coimbatore on August 7-11, 2023.
  • Session on “AI for Image Processing” and “AI for Biomedical Data Analysis” in the IETE Technical Sponsored FDP organized by Mangalam College of Engineering, Kottayam held during July 3-7, 2023.
  • Session on “Implementation of Smart Technology in Agriculture and AI Solutions to Increase the Yield” in the DST-SERB National Seminar on “AI Solutions for Farmer’s Safety and Security in India”, organized by Dr. N. G. P. Arts and Science College, Coimbatore on July 21, 2023.
  • Session on “AI for Satellite Image Analysis” and “AI for UAV and Aerial Image Analysis” in the one-week workshop on Remote Sensing Image Analysis organized by Sri Eshwar College of Engineering, Coimbatore and IIT- Tirupati held during March 20-25, 2023.
  • Session on “Recent Advancements in Artificial Intelligence (AI)” in the 5 days National Level FDP organized by R.M.K. College of Engineering and Technology, Tiruvallur held during January 2-6, 2023.
  • Session on “Optimization Techniques” in the 5 days IETE Sponsored FDP on Innovations and Optimization with Energy Systems organized by Mangalam College of Engineering, Kottayam held during November 18 -24, 2022.
  • Session on “Metaverse AI” at the CSIR sponsored National Seminar on “Metaverse” conducted during 18th to 19th May, 2022 organized by P.A. College of Engineering and Technology, Coimbatore.
  • Session on “Data Collection and Pre-Processing” and “Hands-on Training with Statistical Packages and Tools” at 5 days workshop on Research Methodology organized by Rajiv Gandhi National Institute of Youth Development in Collaboration with Amrita Vishwa Vidyapeetham, during 28th February to 4th March, 2022.
  • Session on “Deep Learning Based Image Segmentation Algorithms for Computer Vision Applications” at the AICTE sponsored one week Refresher Program on “Intelligent Decision Support Systems” conducted during 2nd to 7th February, 2022 organized by Kumaraguru College of Technology, Coimbatore.
  • Session on “Explainable Deep Learning Approaches for Healthcare Data Analysis” at the AICTE sponsored one week Refresher Program on “Deep Learning and its Applications” conducted during 13th to 18th December, 2021 organized by KJ Somaiya Institute of Engineering and Information Technology, Mumbai.
  • Rendered one-day invited lecture on “Generative Adversarial Networks (GAN) for Computer Vision” as a part of the TEQIP-III sponsored Workshop on “Artificial Intelligence and Machine Learning Applications in the Emerging Areas of Computer Science and Information Technology” held at NIT-Suratkal on December 13, 2019.
  • Rendered one-day invited lecture on “Applications of Deep Learning in Image Processing Applications” as a part of the FDP program on “Deep Learning and Machine Learning Approaches and its Applications” held at NIT – Calicut on December 12, 2019.
  • Rendered a session on “Basic theory of Deep Neural and Convolutional Network” during “Two days workshop on Machine Learning – Hands on with Matlab and Python” , organized by Center for Development Advanced Computing (C-DAC), Trivandrum during 5-6 July, 2019.
  • Rendered a session on “Fundamentals of Computer Vision using NVIDIA DIGITS” (as a part of NVIDIA DLI University Ambassador, organized by P.A. College of Engineering and Technology, Pollachi on June 26, 2019.
  • Rendered a session on “Fundamentals of Computer Vision using NVIDIA DIGITS ” (as a part of NVIDIA DLI University Ambassador Grant) during “FDP on Deep Learning for Object Detection”, organized by Sona College of Technology, Salem on June 21, 2019.
  • Rendered a session on “Generative Adversarial Networks (GAN)“, along with the hands on in python at a National Level Faculty Development Program on “Deep Learning Unfolded”, conducted by Amrita School of Engineering, Amritapuri Campus, Kollam on May 31, 2019.
  • Rendered a session on “Drones for Forestry Applications” at a monthly seminar conducted by the Institute of Forest Genetics and Tree Breeding (IFGTB), Indian Council of Forestry Research and Education, Coimbatore, India on May 30, 2019.
  • Delivered one day workshop on “Fundamentals of Deep Learning for Computer Vision – Hands-on using NVIDIA DIGITS” at KMEA College of Engineering, Aluva on May 14, 2019. This was certified and sponsored by NVIDIA as a part of “NVIDIA Deep Learning Instructor University Ambassadorship Award”.
  • Delivered a guest lecture on “Opportunities in Remote Sensing” at Avinashilingam Institute of Home Science and Higher Education for Women, Coimbatore on March 6, 2019.
  • Delivered one-day workshop on “Computational Tools Needed for Data Science (with hands-on in Matlab and Python)” during the 9thNational Level Tech fest – Anokha 2019 organized by Amrita School of Engineering, Coimbatore during February 14-16, 2019.
  • Delivered a guest lecture on “Machine Learning” at Karpagam College of Engineering, Coimbatore on January 24, 2019.
  • Invited talk on “Deep Learning” in Two days IEEE workshop on Machine Learning held at Kalasalingam University on 2-3 Feb, 2018.
  • Invited talk on “Deep Learning for Bio-medical Application” in ICMR Sponsored Seminar on Deep Learning Techniques and Tools for Medical Application organized by Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasion 17/01/2018.
  • Delivered a lecture on “Deep Learning for Medical Image Processing” in “TEQIP Sponsored Artificial Intelligence for Biomedical Applications” organized by TKM College of Engineering, Kollam, on 14th Dec, 2017.
  • Delivered a lecture on “Drone based Hyperspectral Imaging for Precision Agriculture” in “Refresher Course for Computer Science” organized by Bharathiar University, on 21st Nov, 2017.
  • Delivered a lecture on “Data Mining” for MBA students of Avinashilingam University on 18th March 2017.
  • Delivered a session on “Least square based image processing” as a part of short-term training programme on Digital Signal Processing and its Applications held at Engineering College, Thrissuron 5th Dec, 2016.
  • Rendered hands on training in “Support Vector Machines using Libsvm and Weka” for M.Tech students of the Department of Electronics and Communication Engineering, Rajiv Gandhi Institute of Technology, Kottayamon 18-12-2015.
  • Delivered one day session on ‘PDE and Image Processing” in two days “National Level Workshop on Signal and Image Processing” conducted by Department of Information Technology, Sona College of technology, Salemduring 4-5 Dec 2015.
  • Rendered a lecture on “PDE based Image Processing” in “A training workshop on Advanced Optimization, Deep Learning Applications (AODA)” organized by organized by the Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham (University), Coimbatore, during January 30 – February 2, 2014.
  • Rendered Invited Guest Lecture on “Remote Sensing and Applications of GIS” at Avinashilingam University, Coimbatore, 2012.
  • Rendered a talk on “Hyperspectral Image Processing” at “First National Workshop on “Sparse Image and Signal Processing (SISP-2011)”, organized by the Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham (University), Coimbatore.
Professional Activities
  1. Editorial Member in the SCI Indexed Journal : Engineering Applications of Artificial Intelligence.
  2. Technical Program Committee Member and Reviewer in the 4thInternational Conference on Computer Vision and Robotics (CVR2023), organized by Symbiosis Skills and Professional University (SSPU), Pune on May 16-17, 2024.
  3. Technical Program Committee Member and Reviewer in the 4th International Conference on Paradigms of communication, Computing and Data Analytics (PCCDA), organized by Soft Computing Research Society on April 20 – 21, 2024.
  4. Technical Program Committee Member and Reviewer in IEEEInternational Conference on Contemporary Computing and Communications (inC4), organized by CHRIST University, Bangalore on March 15-16, 2024.
  5. Technical Program Committee Member and Reviewer in the International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology, Jaipur on December 16-17, 2023.
  6. Technical Program Committee Member and Reviewer in the 3rd International Conference on Intelligent Vision and Computing (ICIVC2023), organized by National Institute of Technology, Agartala on November 25-26, 2023.
  7. Session Co-Chair in the International Conference on Machine Learning and Data Engineering (ICMLDE 2023), organized by School of Computer Science, UPES, Dehradun on November 23-24, 2023.
  8. Technical Program Committee Member and Reviewer in the 2nd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS2023), organized by BITS, Pilani on September 21-23, 2023.
  9. Technical Program Committee Member and Reviewer in the 4th Congress on Intelligent Systems (CIS), organized by CHRIST University, Bangalore on September 04-05, 2023.
  10. Technical Program Committee Member and Reviewer in the World Conference on Applied Intelligence and Computing (AIC), organized by Soft Computing Research Society on July 29-30, 2023.
  11. Technical Program Committee Member and Reviewer in the 4th International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society, during July 14-15, 2023.
  12. Reviewer in the 2023 IEEE International Conference on Contemporary Computing and Communications (InC4) organised by the Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore during April 21-22, 2023.
  13. Technical Program Committee Member and Reviewer in the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Soft Computing Research Society, during March 18-19, 2023.
  14. Technical Program Committee Member and Reviewer in the 5th International Conference on Communication and Computational Technologies (ICCCT 2023), organized by Rajasthan Institute of Engineering and Technology, and Soft Computing Research Society, during January 28-29, 2023.
  15. Technical Program Committee Member and Reviewer in the 4th International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by National Institute of Technology Delhi, and Soft Computing Research Society, during December 19-20, 2022.
  16. Session Chair in Scopus Indexed 7th IEEE International Conference on Recent Advances and Innovations in Engineering (7th IEEE ICRAIE 2022), organized by National Institute of Technology Karnataka, Surathkal, during December 1 – 3, 2022.
  17. Technical Program Committee Member and Reviewer in the 2nd International Conference on Intelligent Vision and Computing (ICIVC 2022), organized by National Institute of Technology Agartala, and Soft Computing Research Society, during November 26-27, 2022.
  18. Organizer of special session on “AI for Biomedical Text and Image Analysis, in the Scopus Indexed 10th International Conference on Machine Learning and Data Engineering (ICMLDE) held at UPES Dehradun, during September 7-8, 2022.
  19. Program Committee Member and Reviewer of IEEE World Conference on Applied Intelligence and Computing (AIC), organized by Soft Computing Research Society (SCRS), during June 17-19, 2022.
  20. Organized a special session on “Artificial Intelligence on HealthCare Data Analytics (AIHCDA), in the Scopus Indexed 10th International Conference on Frontiers of Intelligent Computing (FICTA), held at National Institute of Technology, Mizoram, during June 18-19, 2022.
  21. Session Chair of “Use of Deep Learning” in the Scopus Indexed 11th International Advanced Computing Conference (IACC), held at University of Malta in association with Bennet University, Delhi, during December 18-19, 2021.
  22. Session Chair of “Biomedical Signal Processing” in the Scopus Indexed International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM), held at Sikkim Manipal University in association with Sikkim Manipal Institute of Medical Sciences, Sikkim, during November 11-12, 2021.
  23. Program Committee Member, Reviewer and Technical Session Chair on “Inteliigent System: Algortihms and Applications” in the Scopus Indexed Springer International Conference on Communication and Computational Technologies (ICCCT), organized by Rajasthan Technical University in association with Soft Computing Research Scoiety (SCRS)held online during February 27-28, 2021.
  24. Program Committee Member, Reviewer and Technical Session Chair on “Inteliigent System: Algortihms and Applications” in the Scopus Indexed Springer International Conference on Communications and Intelligent Systems (ICCIS), organized by Rajasthan Technical University in association with Soft Computing Research Scoiety (SCRS)held online during December 26-27, 2020.
  25. Organizer of the Special Session titled “Artificial Intelligence and Machine Learning (AIML)” in the Scopus Indexed Springer 4th  International Conference on Smart Computing and Informatics (SCI), organized by Vasavi College of Engineering, Hyderabad during October 9-10, 2020.
  26. Organizer of the Special Session titled “Advanced Deep Learning Methods for Multidisciplinary Applications (ADMMA) in the Scopus Indexed International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), organized by Reva University, Bangalore during October 9-10, 2020.
  27. Organizer of the Special Session titled “Artificial Intelligence and Machine Learning (AIML)” in the Scopus Indexed Springer 4th  International Conference on Intelligent Computing and Coomunication (ICICC), organized by Dayananda Sagar University, Bangalore during September 18-20, 2020.
  28. Chaired the technical session titled, “Artificial Intelligence”, in the World Conference in Virtual Format on “Congress on Intelligent Systems (CIS-2020)”conducted by Soft Computing Research Society in association with Springer Publications during September  05 – 06, 2020.
  29. Program Committee Member and Reviewer in the World Conference in Virtual Format on “Congress on Intelligent Systems (CIS-2020)“conducted by Soft Computing Research Society in association with Springer Publications during September 05 – 06, 2020.
  30. Chaired a Technical Session on Machine Learning and Deep Learning Applicationsas a part of Main Track in “8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020)” held at NIT-K, Surathkal on 4-5 Jan 2020.
  31. One of the organizers of “Special Session on Artificial Intelligence and Machine Learning Applications (AIML)” as a part of SCOPUS INDEXED SPRINGER International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), January 4-5, 2020 at NIT Suratkal, Karnataka.
  32. Participated in the hands-on ZOYC workshop on “Automation of Image Processing & Analysis using Cloud Infrastructure”, organized by AIMS, Cochin and Carl Zeiss India (Bangalore) Pvt.Ltd on 22 April, 2019.
  33. Actively Participated in the “Accenture Learning Symposium workshops on Deep Learning and DevOps“, conducted on March 13-14, 2018 at Amrita School of Engineering, Coimbatore.
  34. Successfully cleared the assessment test and completed a hands on workshop on “Artificial Intelligence and Deep Learning,” held at Kongu Engineering College, Erode from July 28 – 30, 2018, conducted by leadingIndia.ai, a nation wide initiative by Bennett University, Greater Noida, India. (Listed as one of the toppers in the assessment)
  35. Presented a paper tiled, “Inspiring stories from Indian Freedom Movement” in SADGAMAYA 5119, Cultural Camp organized by Amrita Vishwa Vidyapeetham, Coimbatore on 29-30 June 2017.
  36. Event Coordinator – ‘Cook without Fire or Wire’ of Amrita Cultural Fest “Amritotsavam-2015’.
  37. Participated in one day Seminar on “Projects in Signal & Image Processing, Communication, embedded, Robotics, Networks and VLSI”, organized by Department of Electronics and Communication Engineering, SNS College of Engineering, Coimbatore on 20thJuly, 2013.
  38. Participated in Faculty Development programme on “Linear Algebra and Applications” organized by the department of Mathematics and Centre for Continuing Education held at National Institute of Technology, Calicut during 07-13 July 2013.
  39. Participated in National Workshop on “Computer Vision and Image Processing Techniques” organized by Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore on 15-16 March 2013.
  40. Participated in two days workshop on “Geospatial Technologies for Coastal Resources Management”, organized by Department of Earth and Space Sciences, Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram on 19-20 May 2012.
  41. Participated in two days workshop on “Machine Vision and Image Processing using Labview”, organized by Department of Instrumentation and Control Systems Engineering, PSG College of Technology, in association with NI Systems (India) Pvt.Ltd, Bangalore on 18-19 May 2012.
  42. Participated in “Second Edition of Amrita International Conference of Women in Computing” organized by Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore on 9-11 January 2012.
  43. Co-ordinator of the “First National Workshop on “Sparse Image and Signal Processing (SISP-2011)”, organized by the Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore during 23rdDec-26th Dec,2011.
Presentations
  • Presented two papers entitled “Significance of Contrast and Structure Features for an Improved Color Image Classification System”, Improved Color Scene Classification System using Deep Belief Networks and Support vector Machines”, in 2017 International Conference on Signal and Image Processing, ICSIPA-2017, Kuching, Malaysia, 12-14 Sep.2017.
  • Presented a paper entitled ““Edge Detection Using Sparse Banded Filter Matrices” – Second International Symposium on Computer Vision and the Internet (VisionNet’15) held at SCMS School of Engineering, Aluva, Kochi on Aug 10-13, 2015. Publisher: Elsevier Procedia Computer Science Journal. (Published)
  • Presented a paper entitled “Role of Teachers in Nation Building” in the seminar for College Faculty on Swami Vivekananda’s thoughts in the modern context organized by Swami Vivekananda 150th Birth Anniversary Celebration Committee, Coimbatore Region in association with Hindusthan Arts and Science, Coimbatore on September 7, 2013.
  • Rendered a lecture on “Signal and Image Processing Application” on two days workshop on Sparse Image and Signal Processing-2013 organized by organized by the Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore.
  • Rendered a talk on “Hyperspectral Image Processing” at “First National Workshop on Sparse Image and Signal Processing (SISP-2011), organized by the Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore.
  • Presented a paper entitled “A Decision Tree Based Land Cover Image Classification Using Color Space and Texture” in 2011 IEEE International Conference on Computational Intelligence and Computing Research, at Cape Institute of Technology, Levengipuram, Kanyakumari, India.
  • Presented a paper entitled “An Effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery” in International Symposium on Ocean Electronics, SYMPOL 2011 at Cochin university of Science and Technology (CUSAT), Kochi.
  • Presented a paper entitled “A Decision Tree Based Land Cover Image Classification Using Color Space and Texture” in National Level Seminar on Signal Processing held at Sree Narayana Guru Institute of Science and technology, Kochi.
  • Rendered Invited Guest Lecture on “Remote Sensing and Applications of GIS” at Avinashilingam University, Coimbatore.
Ph. D. Guidance/ Co-Guidance

Ph.D. Graduates in 2025

  1. Sajith Variyar V. V. – “AI-Assisted Epiphyte Mapping from UAV Images: A Biodiversity Monitoring Application.” (as Thesis Advisor)
  2. Iswarya. K. V. – “An Exploration of Bias and Generalizability in Data-driven Models for Detection of Parkinson’s Disease.” (as Thesis Co-Advisor)

AI for Engineering System Data Analysis

  1. Akshay S (Full Time) – Registered in August 2020. (Thesis Co-Advisor)

AI for Healthcare Data Analysis

  1. Naveen Varghese Jacob (Full Time) – Registered in June 2023. (Thesis Co-Advisor)
  2. Saranya S Nair (Full Time) – Registered in June 2023. (Thesis Advisor)

Generative AI for Automated Assessment in Education

  1. Kamal N. S. (Part Time) – Registered in June 2023. (Thesis Advisor)
Administrative Roles
  1. Anti-Ragging Committee Member.
  2. Women Empowerment and Grievance Cell Member.
  3. Student Grievance Redressal Cell Member.
  4. Department Level Post Graduate Program Member.
  5. Department Level Ph.D. Admission Coordinator.
  6. Thrust Area Group Lead – AI for Multimodal Data Analysis.
  7. Research Committee Member.
Courses Taught for UG/ PG/ Ph. D.
  • Signal and Image Processing.
  • Mathematics for Intelligent Systems.
  • Machine Learning.
  • Deep Learning for Signal and Image Processing.
  • Deep Learning for Visual Recognition.
  • Deep Learning for Biomedical Data Analysis.
Admissions Apply Now