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Dr. Neethu Mohan

Assistant Professor (Sr.Gr.), School of Artificial Intelligence, Coimbatore

Qualification: BE, M.Tech., Ph.D
m_neethu@cb.amrita.edu
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Research Interest: Artificial Intelligence for Biomedical Data Analysis, Artificial Intelligence for Power System Applications, Demand Forecasting, Intelligent Methods for Power Quality Analysis, Machine Learning, Signal Processing for Intelligent Power Quality Analysis

Bio Publications Research Professional Projects Awards FDPs/Workshops
Bio

Dr. Neethu Mohan is currently serving as Assistant Professor (Sr.Gr.) at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore Campus. She completed her Ph.D. under the guidance of Dr. Soman K. P. (Head & Professor, CEN. She holds a B.E. in Electronics and Communication Engineering from Anna University and a Master’s degree in Remote Sensing and Wireless Sensor Networks from Amrita Vishwa Vidyapeetham.

Her research broadly focuses on Artificial Intelligence for signal and image processing. Her key research interests include AI for Biomedical Data Analysis and Power System Applications, and the development of computational and data-driven algorithms. She has received research funding from the ICMR in collaboration with clinicians at AIMS, Kochi, for research work on “AI for Retinopathy of Prematurity Screening and Diagnosis.” This work reflects her interdisciplinary research contributions at the intersection of AI and healthcare.

Publications

Journal Article

Year : 2026

Enhancing Causal Text Detection Using Uncertainty-Weighted Machine Learning Ensembles

Cite this Research Publication : Sivachandra K B, Neethu Mohan, Mithun Kumar Kar, Sikha O K, Sachin Kumar S, Enhancing Causal Text Detection Using Uncertainty-Weighted Machine Learning Ensembles, Informatics, MDPI AG, 2026, https://doi.org/10.3390/informatics13030037

Publisher : MDPI AG

Year : 2026

Explainable automated detection of heart valve diseases using deep multimodal fusion technique with PCG signals

Cite this Research Publication : Suchithra K.P., Neethu Mohan, U. Rajendra Acharya, Sachin Kumar S., Explainable automated detection of heart valve diseases using deep multimodal fusion technique with PCG signals, Array, Elsevier BV, 2026, https://doi.org/10.1016/j.array.2026.100792

Publisher : Elsevier BV

Year : 2026

An accurate data-driven multi-horizon short-term electric load prediction using HODMD

Cite this Research Publication : C. M. Rohith, S. Sachin Kumar, U. Rajendra Acharya, Neethu Mohan, An accurate data-driven multi-horizon short-term electric load prediction using HODMD, Evolutionary Intelligence, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s12065-026-01181-8

Publisher : Springer Science and Business Media LLC

Year : 2025

Impact of Fine-Tuned Embeddings on Machine Learning-Based Causal Detection

Cite this Research Publication : C M Rohith, K B Sivachandra, Neethu Mohan, S Sachin Kumar, Impact of Fine-Tuned Embeddings on Machine Learning-Based Causal Detection, 2025 5th International Conference on Intelligent Technologies (CONIT), IEEE, 2025, https://doi.org/10.1109/conit65521.2025.11167597

Publisher : IEEE

Year : 2025

Artificial Intelligence for Materials Informatics

Cite this Research Publication : , Artificial Intelligence for Materials Informatics, Studies in Computational Intelligence, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-89983-6

Publisher : Springer Nature Switzerland

Year : 2025

Topological Indices Based Vector Representation of Graphs

Cite this Research Publication : Padmakumar Vandana, Neethu Mohan, Neelesh Ashok, S. Sachin Kumar, Topological Indices Based Vector Representation of Graphs, Studies in Computational Intelligence, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-031-89983-6_1

Publisher : Springer Nature Switzerland

Year : 2025

Fake News and Offensive Content Detection in Malayalam Using Machine Learning, Deep Learning, and Transformer Based Methods With XAI

Cite this Research Publication : O. V. Likha, S. Sachin Kumar, Neethu Mohan, O. K. Sikha, Fake News and Offensive Content Detection in Malayalam Using Machine Learning, Deep Learning, and Transformer Based Methods With XAI, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3623172

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Hybrid Approach Using Dynamic Mode Decomposition and Wavelet Scattering Transform for EEG-Based Seizure Classification

Cite this Research Publication : Sreevidya C, Neethu Mohan, Sachin Kumar S, Aravind Harikumar, Hybrid Approach Using Dynamic Mode Decomposition and Wavelet Scattering Transform for EEG-Based Seizure Classification, Informatics, MDPI AG, 2025, https://doi.org/10.3390/informatics12040117

Publisher : MDPI AG

Year : 2024

EEG based automated detection of seizure using machine learning approach and traditional features

Cite this Research Publication : Abhishek S., Sachin Kumar S., Neethu Mohan, Soman K.P., EEG based automated detection of seizure using machine learning approach and traditional features, Expert Systems with Applications, Elsevier BV, 2024, https://doi.org/10.1016/j.eswa.2024.123991

Publisher : Elsevier BV

Year : 2023

An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images

Cite this Research Publication : Lokesh Sai Phani Babu, S Sachin Kumar, Neethu Mohan, Raghunathan Krishankumar, K.S. Ravichandran, Tapan Senapati, O K Sikha, An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images, null, Springer Science and Business Media LLC, 2023, https://doi.org/10.21203/rs.3.rs-3357602/v1

Publisher : Springer Science and Business Media LLC

Year : 2023

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems

Cite this Research Publication : Neethu Mohan, S. S. Kumar, K. P. Soman, V. G. Sujadevi, P. Poornachandran and U. R. Acharya, "A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems," in IEEE Access, vol. 11, pp. 39228-39242, 2023, doi: 10.1109/ACCESS.2023.3267125.

Publisher : IEEE

Year : 2020

Random fourier feature based music-speech classification

Cite this Research Publication : Vyshnav MT, Sachin Kumar S, Neethu Mohan, KP Soman, Random Fourier Feature Based Music-Speech Classification, Journal of Intelligence and Fuzzy Systems, 2020 (Scopus)

Publisher : Journal of Intelligence and Fuzzy Systems

Year : 2020

A Data-driven Technique for Harmonics Monitoring in Emerging Power Grids using Noise-aware Dynamic Mode Decomposition

Cite this Research Publication : Dr. Neethu Mohan and Dr. Soman K. P., “A Data-driven Technique for Harmonics Monitoring in Emerging Power Grids using Noise-aware Dynamic Mode Decomposition”, Measurement Science and Technology, vol. 31, p. 015016, 2020.

Publisher : Measurement Science and Technology, IOP Publishing

Year : 2019

An Improvised Word Recognition System using CNN in a Non-Isolated Environment

Cite this Research Publication : Neethu Mohan, Arul V H, An Improvised Word Recognition System using CNN in a Non-Isolated Environment, International Journal of Computer Trends & Technology, Seventh Sense Research Group Journals, 2019, https://doi.org/10.14445/22312803/ijctt-v67i4p117

Publisher : Seventh Sense Research Group Journals

Year : 2019

Data-driven Computing in Elasticity via Chebyshev Approximation

Cite this Research Publication : R. - V. K, Dr. Neethu Mohan, and Dr. Soman K. P., “Data-driven Computing in Elasticity via Chebyshev Approximation”, arXiv preprint arXiv:1904.10434, 2019.

Publisher : arXiv preprint arXiv

Year : 2019

A hybrid method for fundamental heart sound segmentation using group-sparsity denoising and variational mode decomposition

Cite this Research Publication : V G Sujadevi, Neethu Mohan, Sachin Kumar S, K P Soman, A Hybrid Method for Fundamental Heart Sound Segmentation Using Group-Sparsity Denoising and Variational Mode Decomposition, Biomedical Engineering Letters, Springer, Vol 9, pp 413-424, 2019

Publisher : Springer

Year : 2018

A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model

Cite this Research Publication : Neethu Mohan, K P Soman, Sachin Kumar S, A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model, Elsevier Applied Energy, Vol 20, pp 229-244, 2018

Publisher : Elsevier Applied Energy

Year : 2017

An t₁-Norm Based Optimization Approach for Power Line Interference

Cite this Research Publication : Neethu Mohan, S Sachin Kumar, KP Soman, An t₁-Norm Based Optimization Approach for Power Line Interference, 2017

Publisher : Springer

Year : 2016

Least Square Based Approach for Image Inpainting

Cite this Research Publication : Aiswarya M., Deepika N., V. Sowmya, Neethu Mohan, K. P. Soman, Least Square Based Approach for Image Inpainting, 2016

Year : 2016

New Generation of Hydroxyapatite Bone Grafts from ‘Coral like’ Synthetic Inorganic Precursors

Cite this Research Publication : Mohan Nimmy, Varma Harikrishna, New Generation of Hydroxyapatite Bone Grafts from �Coral like� Synthetic Inorganic Precursors, Frontiers in Bioengineering and Biotechnology, Frontiers Media SA, 2016, https://doi.org/10.3389/conf.fbioe.2016.01.00682

Publisher : Frontiers Media SA

Year : 2016

Modified variational mode decomposition for power line interference removal in ECG signals

Cite this Research Publication : Dr. Neethu Mohan, S. Kumar, S., Poornachandran, P., and Dr. Soman K. P., “Modified variational mode decomposition for power line interference removal in ECG signals”, International Journal of Electrical and Computer Engineering, vol. 6, pp. 151-159, 2016.

Publisher : International Journal of Electrical and Computer Engineering

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

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

Audio Data Authentication with PMU Data and EWT

Cite this Research Publication : Premjith, B., Mohan, Neethu, Poornachandran, P., & Soman, K. (2015). Audio data authentication with pmu data and ewt. Procedia Technology, 21, 596–603.

Publisher : Procedia Technology

Year : 2012

Two Stage Wavelet based Image Denoising

Cite this Research Publication : G. Abraham, Dr. Soman K. P., Prasannan, N., S, S., and Dr. Neethu Mohan, “Two Stage Wavelet based Image Denoising”, International Journal of Computer Applications, vol. 56, no. 14, 2012.

Publisher : International Journal of Computer Applications

Conference Paper

Year : 2025

Explainable Approach Towards Fake News Detection in Malayalam Using Hybrid Deep Learning Model

Cite this Research Publication : O. V. Likha, S. Sachin Kumar, O. K. Sikha, Neethu Mohan, K. P. Soman, Explainable Approach Towards Fake News Detection in Malayalam Using Hybrid Deep Learning Model, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-032-05855-3_30

Publisher : Springer Nature Switzerland

Year : 2025

Mental Health Data Analysis using Deep learning based Methods

Cite this Research Publication : M Abishek, N Vimal Dharshan, Sachin Kumar S, Neethu Mohan, Mental Health Data Analysis using Deep learning based Methods, 2025 5th International Conference on Intelligent Technologies (CONIT), IEEE, 2025, https://doi.org/10.1109/conit65521.2025.11167052

Publisher : IEEE

Year : 2025

Exploring Efficient Truncation Strategies for Case Dismissal Prediction using Transformer Models

Cite this Research Publication : G Jagadeesh, T Guhan Kumar, S Dharshan Kumaar, Neethu Mohan, S Sachin Kumar, Exploring Efficient Truncation Strategies for Case Dismissal Prediction using Transformer Models, 2025 5th International Conference on Intelligent Technologies (CONIT), IEEE, 2025, https://doi.org/10.1109/conit65521.2025.11167544

Publisher : IEEE

Year : 2025

Dynamic Mode Decomposition Based Multi-View Learning

Cite this Research Publication : Dilip Parasu, M Kalyana Sundaram, Sarvesh Shashikumar, Neethu Mohan, S Sachin Kumar, Kp Soman, Dynamic Mode Decomposition Based Multi-View Learning, 2025 5th International Conference on Intelligent Technologies (CONIT), IEEE, 2025, https://doi.org/10.1109/conit65521.2025.11167412

Publisher : IEEE

Year : 2025

Pediatric Gait Classification based on Pose Estimation and Machine Learning Approach

Cite this Research Publication : Kalyana Sundaram M, Sowmya V, Sajith Variyar V V, Neethu Mohan, Vaishakh Anand, K P Vinayan, Ravi Sankaran, Perraju Bendapudi, Pediatric Gait Classification based on Pose Estimation and Machine Learning Approach, 2025 International Conference on Biomedical Engineering and Sustainable Healthcare (ICBMESH), IEEE, 2025, https://doi.org/10.1109/icbmesh66209.2025.11182242

Publisher : IEEE

Year : 2025

Integrated License Plate Recognition Using YOLO and CNN for Automated Vehicle Identification

Cite this Research Publication : Sahaana Shri S.K, R. Nethra, C.H Vaishnavi Krishna, Lekshmi C. R, Neethu Mohan, Integrated License Plate Recognition Using YOLO and CNN for Automated Vehicle Identification, 2025 9th International Conference on Inventive Systems and Control (ICISC), IEEE, 2025, https://doi.org/10.1109/icisc65841.2025.11187533

Publisher : IEEE

Year : 2025

YOLO vs. CNN: Deep Learning Approaches for ASL Alphabet Classification

Cite this Research Publication : Anirudh Jayan, Abhinav Variyath, S Tara Samiksha, Sarvesh Ram Kumar, Aravind S Harilal, Lekshmi C. R, Neethu Mohan, YOLO vs. CNN: Deep Learning Approaches for ASL Alphabet Classification, 2025 IEEE Recent Advances in Intelligent Computational Systems (RAICS), IEEE, 2025, https://doi.org/10.1109/raics66191.2025.11330938

Publisher : IEEE

Year : 2025

EEG-Based Multi-Class Sleep Disorder Classification Using Deep Learning, Machine Learning and Neural Tangent Kernel

Cite this Research Publication : M Madhav, Vp Rohit, Neethu Mohan, S Sachin Kumar, EEG-Based Multi-Class Sleep Disorder Classification Using Deep Learning, Machine Learning and Neural Tangent Kernel, 2025 5th International Conference on Intelligent Technologies (CONIT), IEEE, 2025, https://doi.org/10.1109/conit65521.2025.11166752

Publisher : IEEE

Year : 2025

Dynamic Mode Decomposition-Based Features for Cardiovascular Disease Analysis From Phonocardiogram Signals

Cite this Research Publication : K. P. Suchithra, Neethu Mohan, O. K. Sikha, S. Sachin Kumar, Dynamic Mode Decomposition-Based Features for Cardiovascular Disease Analysis From Phonocardiogram Signals, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3631408

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Fast Iterative Filtering-Based Deep Belief Network for Accurate Short-term Electric Load Forecasting

Cite this Research Publication : N. Sai Satwik Reddy, A. Venkata Siva Manoj, Neethu Mohan, S. Sachin Kumar, K. P. Soman, Fast Iterative Filtering-Based Deep Belief Network for Accurate Short-term Electric Load Forecasting, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-4149-6_35

Publisher : Springer Nature Singapore

Year : 2024

Unveiling COVID-19 Dynamics: Insights and Predictions Through Dynamic Mode Decomposition

Cite this Research Publication : Maha Nivetha JK, Gayathri Devi R V, Neethu Mohan, Sachin Kumar S, Soman K P, Unveiling COVID-19 Dynamics: Insights and Predictions Through Dynamic Mode Decomposition, 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, 2024, https://doi.org/10.1109/icaccs60874.2024.10716912

Publisher : IEEE

Year : 2024

A Data-Driven Approach for CO2 Emission Prediction using Dynamic Mode Decomposition

Cite this Research Publication : Sahil Khandelwal, P Ishan, R Raveena, Hemavathi Yerchuru, Neethu Mohan, S Sachin Kumar, K P Soman, A Data-Driven Approach for CO2 Emission Prediction using Dynamic Mode Decomposition, 2023 4th International Conference on Intelligent Technologies (CONIT), IEEE, 2024, https://doi.org/10.1109/conit61985.2024.10626252

Publisher : IEEE

Year : 2024

Fast Iterative Filtering based approach for Seizure Detection in EEG Signals

Cite this Research Publication : Likith Adithya Atmuri, Gowtham Sai Chandhra K, A Venkata Sai Krishna Varun, Devika Krishna Kumar, Neethu Mohan, Sachin Kumar S, Soman K P, Fast Iterative Filtering based approach for Seizure Detection in EEG Signals, 2024 11th International Conference on Advances in Computing and Communications (ICACC), IEEE, 2024, https://doi.org/10.1109/icacc63692.2024.10845336

Publisher : IEEE

Year : 2024

Deep Learning-Based Classification of PCG Signals Using Chaogram Transform and CNN-LSTM Network

Cite this Research Publication : K. P. Suchithra, Neethu Mohan, Deep Learning-Based Classification of PCG Signals Using Chaogram Transform and CNN-LSTM Network, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-3817-5_40

Publisher : Springer Nature Singapore

Year : 2024

Enhancing Power Quality Disturbance Classification Through Ensemble Learning and Statistical Techniques

Cite this Research Publication : Ajay Surya Jampana, Mohitha Velagapudi, Neethu Mohan, Sachin Kumar S, Soman K P, Enhancing Power Quality Disturbance Classification Through Ensemble Learning and Statistical Techniques, 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, 2024, https://doi.org/10.1109/icaccs60874.2024.10716931

Publisher : IEEE

Year : 2024

Effectiveness of GNN based approach for Topic Classification of Telugu Text

Cite this Research Publication : Sai Sylesh Gupta Namburu, K.P. Soman, S Sachin Kumar, Neethu Mohan, Effectiveness of GNN based approach for Topic Classification of Telugu Text, 2023 4th International Conference on Intelligent Technologies (CONIT), IEEE, 2024, https://doi.org/10.1109/conit61985.2024.10626622

Publisher : IEEE

Year : 2024

Machine learning Techniques Based Gas Pipeline Leakage Detection

Cite this Research Publication : V Yadukrishnan, Neethu Mohan, K.P. Soman, S Sachin Kumar, Machine learning Techniques Based Gas Pipeline Leakage Detection, 2023 4th International Conference on Intelligent Technologies (CONIT), IEEE, 2024, https://doi.org/10.1109/conit61985.2024.10626316

Publisher : IEEE

Year : 2023

Higher Order Dynamic Mode Decomposition for Robust Parameter Estimation in Power Grids

Cite this Research Publication : Pinninti Sai Ravula, Hema Radhika Reddy, Aadharsh Aadhithya A, Neethu Mohan, Sachin Kumar S, Soman K P, Higher Order Dynamic Mode Decomposition for Robust Parameter Estimation in Power Grids, 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), IEEE, 2023, https://doi.org/10.1109/icefeet59656.2023.10452210

Publisher : IEEE

Year : 2023

A Fast Iterative Filtering Method for Efficient Denoising of Phonocardiogram Signals

Cite this Research Publication : N. S. Satwik Reddy, V. P. M. Saisdhar Reddy, V. S. Manoj A, N. Mohan, S. K. S and S. K P, "A Fast Iterative Filtering Method for Efficient Denoising of Phonocardiogram Signals," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-6, doi: 10.1109/CONIT59222.2023.10205633.

Publisher : IEEE

Year : 2023

Face Mask Detection Using Transfer Learning and TensorRT Optimization

Cite this Research Publication : Chowdary, P.N. et al. (2023). Face Mask Detection Using Transfer Learning and TensorRT Optimization. In: Hassanien, A.E., Castillo, O., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. ICICC 2023. Lecture Notes in Networks and Systems, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-99-3315-0_63

Publisher : SpringerLink

Year : 2023

DMD-CGR: Dynamic Mode Decomposition-based Novel Features for DNA sequence classification

Cite this Research Publication : A. A. A, A. Edpuganti, S. K. S, N. Mohan and S. K. P, "DMD-CGR: Dynamic Mode Decomposition-based Novel Features for DNA sequence classification," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-5, doi: 10.1109/CONIT59222.2023.10205561.

Publisher : IEEE

Year : 2023

Covid Cough Identification using Machine Learning and Deep Learning Networks

Cite this Research Publication : A. Vinod, N. Mohan, S. K. S and S. K P, "Covid Cough Identification using Machine Learning and Deep Learning Networks," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-4, doi: 10.1109/CONIT59222.2023.10205895.

Publisher : IEEE

Year : 2023

Random Fourier Features based approach for Covid-19 Twitter Sentiment Classification using Machine Learning and Deep Learning

Cite this Research Publication : E. Vignesh, S. K. S, N. Mohan and K. P. Soman, "Random Fourier Features based approach for Covid-19 Twitter Sentiment Classification using Machine Learning and Deep Learning," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-8, doi: 10.1109/CONIT59222.2023.10205735.

Publisher : IEEE

Year : 2022

On the Denoising of Periodic and Aperiodic ECG Signals from a Discretized Reaction Diffusion Heart Model using Variational Mode Decomposition

Cite this Research Publication : Sachin Kumar S, On the Denoising of Periodic and Aperiodic ECG Signals from a Discretized Reaction Diffusion Heart Model using Variational Mode Decomposition, ICASIC 2022

Year : 2022

Oil Spill Detection from Images Using Deep Learning

Cite this Research Publication : Gopinath, V., Sachin Kumar, S., Mohan, N., Soman, K.P. (2023). Oil Spill Detection from Images Using Deep Learning. In: Chakraborty, B., Biswas, A., Chakrabarti, A. (eds) Advances in Data Science and Computing Technologies. ADSC 2022. Lecture Notes in Electrical Engineering, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-99-3656-4_65

Publisher : SpringerLink

Year : 2022

Forecasting and Classification Of Power Quality Disturbance In Smart Grid Using Hybrid Networks

Cite this Research Publication : K. Murali, K. Sabeena Beevi, J. A. Varughese, S. Visakh, N. Mohan and A. Thasneem, "Forecasting and Classification Of Power Quality Disturbance In Smart Grid Using Hybrid Networks," 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE), Trivandrum, India, 2022, pp. 1-6, doi: 10.1109/PESGRE52268.2022.9715824.

Publisher : IEEE

Year : 2022

Automated Detection of Kidney Stone Using Deep Learning Models

Cite this Research Publication : M. B, N. Mohan, S. K. S and S. K. P, "Automated Detection of Kidney Stone Using Deep Learning Models," 2022 2nd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2022, pp. 1-5, doi: 10.1109/CONIT55038.2022.9847894.

Publisher : IEEE

Year : 2022

Prospects of NFMD for Power System Frequency and Amplitude Estimation

Cite this Research Publication : A. A. A, N. Mohan, S. K. S, S. K. P and P. Poornachandran, "Prospects of NFMD for Power System Frequency and Amplitude Estimation," 2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), MANGALORE, India, 2022, pp. 512-516, doi: 10.1109/ICRAIE56454.2022.10054262.

Publisher : IEEE

Year : 2020

Group Sparsity Assisted Synchrosqueezing Approach for Phonocardiogram Signal Denoising

Cite this Research Publication : Mohan, Neethu, Kumar, S., & Soman, K. (2020). Group sparsity assisted synchrosqueezing approach for phonocardiogram signal denoising. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.

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 : 2019

9th International Conference on Advances in Computing and Communication (ICACC)

Cite this Research Publication : K Sreelakshmi, Turaga Tulasi Sasidhar, Neethu Mohan, Soman Kp, Reshma Ravindran, Abhishek Viswakumar, Aashif Aza, Prashant Shekhar, Ashish Kumar Mishra, Ramesh Chand Pandey, S Kala, Debdeep Paul, Babita Jose, Jimson Mathew, S Nalesh, Partho Sarothi Dey, N Kayalvizhi, Amrita Mary John, ES Shajahan, Cheryl Nellissery Anto Jaya, GP Sajeev, R Vignesh, R Vishnu, M Raj Sreenu, MB Akshay, G Nair Divya, J Jyothisha, 9th International Conference on Advances in Computing and Communication (ICACC), 2019

Year : 2019

Significance of Incorporating Chebfunction Coefficients for Improved Machine Fault Diagnosis

Cite this Research Publication : T K Sachin Saj, Neethu Mohan, S Sachin Kumar, K.P Soman, Significance of Incorporating Chebfunction Coefficients for Improved Machine Fault Diagnosis, IOP Conference Series Materials Science and Engineering 11/2019

Publisher : IOP Conference Series Materials Science and Engineering

Year : 2019

Data-driven Analysis for Low Frequency Oscillation Identification in Smart Grid using FB-DMD and T-DMD Methods

Cite this Research Publication : ⦁ Priyanga, V., Chandni, M., Mohan, Neethu, & Soman, K. (2019). Data-driven analysis for low frequency oscillation identification in smart grid using fb-dmd and t-dmd methods. In 2019 9th International Conference on Advances in Computing and Communication (ICACC) (pp. 51–57). IEEE.

Publisher : IEEE

Year : 2019

A Methodology for Spikes and Transients Detection and Removal in Power Signals Using Chebyshev Approximation

Cite this Research Publication : Sreelakshmi k, T Sasidhar, Neethu Mohan, Soman K P “A Methodology for Spikes and Transients Detection and Removal in Power Signals Using Chebyshev Approximation” in International Conference on Advances in Computing and Communications (ICACC) 2019.

Publisher : ICACC

Year : 2019

A Novel Method for Multiple Power Quality Disturbance Classification using Dynamic Mode Decomposition

Cite this Research Publication : ⦁ Nair, A. R., Soman, K., & Mohan, Neethu. (2019). A novel method for multiple power quality disturbance classification using dynamic mode decomposition. In 2019 International Conference on Intelligent Computing and Control Systems (ICCS) (pp. 182–186). IEEE.

Publisher : IEEE

Year : 2019

Dynamic Mode Decomposition based feature for Image Classification

Cite this Research Publication : K Rahul V, Sachin Kumar S, Neethu Mohan, KP Soman, Dynamic Mode Decomposition based feature for Image Classification, Tencon 2019, IEEE Region 10 Conference, pp 745-750, 2019. (Scopus)

Publisher : IEEE

Year : 2019

A Data-driven Approach for Estimating Power System Frequency and Amplitude Using Dynamic Mode Decomposition

Cite this Research Publication : Dr. Neethu Mohan, Dr. Soman K. P., and S. Kumar, S., “A Data-driven Approach for Estimating Power System Frequency and Amplitude Using Dynamic Mode Decomposition”, in Proceedings of the Conference on the Industrial and Commercial Use of Energy, ICUE, 2019, vol. 2018-October.

Publisher : IEEE

Year : 2018

Performance Enhancement of a Series Active Power Filter using Kalman Filter based Neural Network Control Strategy

Cite this Research Publication : Ravikumar, A., Mohan, Neethu, & Soman, K. (2018). Performance enhancement of a series active power filter using kalman filter based neural network control strategy. In 2018 International Conference on Advances In Computing, Communications and Informatics (ICACCI) (pp. 1702–1706). IEEE.

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

Year : 2018

An L1 -Norm Based Optimization Approach for Power Line Interference Removal in ECG Signals

Cite this Research Publication : Neethu Mohan, S. Kumar, S., and Dr. Soman K. P., “An ℓ1 -Norm Based Optimization Approach for Power Line Interference Removal in ECG Signals”, in Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, Singapore, 2018.

Publisher : Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, Springer Singapore, Singapore .

Year : 2018

Wide-Area Monitoring of Power System Using Dynamic Mode Decomposition on Nonlinear Observables

Cite this Research Publication : Neethu Mohan, KP Soman, Sachin Kumar S, Wide Area Monitoring of Power System using Dynamic Mode Decomposition on Nonlinear Observables, IEEE Indicon 2018 (Scopus)


Publisher : IEEE

Year : 2018

Power System Frequency and Amplitude Estimation Using Variational Mode Decomposition and Chebfun Approximation System

Cite this Research Publication : Dr. Neethu Mohan and Dr. Soman K. P., “Power System Frequency and Amplitude Estimation Using Variational Mode Decomposition and Chebfun Approximation System”, in 2018 Twenty Fourth National Conference on Communications (NCC), Hyderabad, India, 2018.

Publisher : 2018 Twenty Fourth National Conference on Communications (NCC), IEEE, Hyderabad, India .

Year : 2018

Overlapping Group Sparsity Induced Condition Monitoring in Rotating Machineries

Cite this Research Publication : A. Chandran, Anjali, T., Dr. Neethu Mohan, and Dr. Soman K. P., “Overlapping Group Sparsity Induced Condition Monitoring in Rotating Machineries”, in Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016), Cham, 2018.

Publisher : Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016), Springer International Publishing, Cham .

Year : 2018

A Novel Cyclic Convolution Based Regularization Method for Power-Line Interference Removal in ECG Signal

Cite this Research Publication : V. G. Sujadevi, Dr. Soman K. P., S. Kumar, S., and Dr. Neethu Mohan, “A Novel Cyclic Convolution Based Regularization Method for Power-Line Interference Removal in ECG Signal”, in Advances in Signal Processing and Intelligent Recognition Systems, Cham, 2018.

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

Year : 2017

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

Denoising of phonocardiogram signals using variational mode decomposition

Cite this Research Publication : Sujadevi, V., Soman, K., Kumar, S. S., Mohan, Neethu, & Arunjith, A. (2017). Denoising of phonocardiogram signals using variational mode decomposition. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1443–1446). IEEE.

Publisher : IEEE

Year : 2017

Deep power: Deep learning architectures for power quality disturbances classification

Cite this Research Publication : Mohan, Neethu, Soman, K., & Vinayakumar, R. (2017). Deep power: Deep learning architectures for power quality disturbances classification. In 2017 International Conference on Technological Advancements in Power and Energy (TAP ENERGY) (pp. 1–6). IEEE.

Publisher : IEEE

Year : 2016

Total Variation Denoising Based Approach for R-peak Detection in ECG Signals

Cite this Research Publication : Sachin Kumar S, Neethu Mohan, Prabaharan P, KP Soman, Total Variation Denoising based Approach for R-peak Detection in ECG Signals, ICACC, Elsevier Procedia Computer Science, 2016 (Scopus)

Publisher : Elsevier Procedia Computer Science

Year : 2016

Image Fusion Using Variational Mode Decomposition

Cite this Research Publication : D. Pankaj, S, S. Kumar, Dr. Neethu Mohan, and Dr. Soman K. P., “Image Fusion Using Variational Mode Decomposition”, in International Conference on Innovation in Information Embedded and Communication Systems (ICIIECS’16), 2016.

Publisher : IJST

Year : 2016

Accurate frequency estimation method based on basis approach and empirical wavelet transform

Cite this Research Publication : Lakshmi P, Neethu Mohan, Sachin Kumar S, KP Soman, Accurate Frequency Estimation method based on Basis approach and Emperical Wavelet Transform, International Conference on Computer and Communication Technologies, Springer Conference, Vol 380, pp 801-809, 2015 (Scopus)

Publisher : Springer

Year : 2015

Microgrid architecture for line fault detection and isolation

Cite this Research Publication : Ramesh, Maneesha Vinodini, Neethu Mohan, and Aryadevi Remanidevi Devidas. "Microgrid architecture for line fault detection and isolation." In Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on, pp. 1-6. IEEE, 2015

Publisher : IEEE

Year : 2015

Micro grid architecture for line fault detection and isolation

Cite this Research Publication : Dr. Maneesha V. Ramesh, Mohan, N., and Arya Devi R. D., “Micro grid architecture for line fault detection and isolation”, in Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on, 2015.

Publisher : Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on, IEEE.

Year : 2015

Condition Monitoring in Roller Bearings using Cyclostationary Features

Cite this Research Publication : Sachin Kumar S, Neethu Mohan, Prabaharan P, KP Soman, Condition Monitoring in Roller Bearings using Cyclostationary Features, WCI, pp 690-607, 2015 (Scopus)

Publisher : WCI

Year : 2015

A VMD based approach for speech enhancement

Cite this Research Publication : B Ganga, Sachin Kumar S, Neethu Mohan, KP Soman, A VMD based approach for Speech Enhancement, SIRS, Vol 425, pp 309-321, 2015 (Scopus)

Publisher : SIRS

Conference Proceedings

Year : 2025

Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT

Cite this Research Publication : Pathange Omkareshwara Rao, Harish Vijay V, Ippatapu Venkata Srichandra, Neethu Mohan, Sachin Kumar S, Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT, Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Association for Computational Linguistics, 2025, https://doi.org/10.18653/v1/2025.dravidianlangtech-1.49

Publisher : Association for Computational Linguistics

Year : 2025

Cyber Protectors@DravidianLangTech 2025: Abusive Tamil and Malayalam Text Targeting Women on Social Media using FastText

Cite this Research Publication : Rohit Vp, Madhav M, Ippatapu Venkata Srichandra, Neethu Mohan, Sachin Kumar S, Cyber Protectors@DravidianLangTech 2025: Abusive Tamil and Malayalam Text Targeting Women on Social Media using FastText, [source], Association for Computational Linguistics, 2025, https://doi.org/10.18653/v1/2025.dravidianlangtech-1.53

Publisher : Association for Computational Linguistics

Year : 2024

Investigating the significance of special measurement matrices for DMD based frequency estimation

Cite this Research Publication : Anirudh Edpuganti, Jayanth Mohan, Neethu Mohan, S. Sachin Kumar, K. P. Soman, Investigating the significance of special measurement matrices for DMD based frequency estimation, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0189798

Publisher : AIP Publishing

Year : 2024

Exploring Kolmogorov Arnold Networks for Interpretable Mental Health Detection and Classification from Social Media Text

Cite this Research Publication : Jampana, Exploring Kolmogorov Arnold Networks for Interpretable Mental Health Detection and Classification from Social Media Text, [source], NLP Association of India (NLPAI), 2024, https://aclanthology.org/2024.icon-1.23/

Publisher : NLP Association of India (NLPAI)

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,

Journal

Year : 2024

EEG Based Automated Detection of Seizure Using Machine Learning Approach and Traditional Features

Cite this Research Publication : Abhishek, S., Sachin Kumar, Neethu Mohan, and K. P. Soman. "EEG based automated detection of seizure using machine learning approach and traditional features." Expert Systems with Applications 251 (2024): 123991.

Publisher : Elsevier

Book Chapter

Year : 2020

Dynamic Mode Decomposition and Its Application in Various Domains: An Overview

Cite this Research Publication : Neethu Mohan, Sachin Kumar S, Akshay S, KP Soman, Dynamic mode decomposition and its application in various domains- An overview, EAI/Springer book Recent Advances in Ubiquitous Computing, 2020

Publisher : Springer

Year : 2019

Modern methods for signal analysis and its applications

Cite this Research Publication : KP Soman, Sachin Kumar S, Neethu Mohan, Prabaharan P, Modern Methods for Signal Analysis and Its Applications, Recent Advances in Computational Intelligence, Vol 823, pp 263-290, Springer Cham, 2019

Publisher : Springer Cham

Research

Presentations

  • Presented a paper entitled “Wide Area Monitoring of Power System using Dynamic Mode Decomposition on Nonlinear Observables”, in 15th IEEE India Council International Conference (INDICON 2018), at Amrita Vishwa Vidyapeetham, Coimbatore, 15-18 Dec 2018.
  • Presented a paper entitled “Power System Frequency and Amplitude Estimation Using Variational Mode Decomposition and Chebfun Approximation System”, in 24th National Conference on Communications (NCC), at IIT Hyderabad, 25-28 Feb 2018.
  • Presented a paper entitled “Deep Power: Deep Learning Architectures for Power Quality Disturbances Classification”, in 2017 IEEE International Conference on Technological Advancements in Power and Energy (TAP Energy 2017), at Amrita University, Amritapuri Campus, Kollam, 21-23 Dec. 2017.
  • Presented a paper entitled “An L1 norm based Optimization Approach for Power Line Interference Removal in ECG Signals” in 4th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2016), at National Institute of Technology (NIT), Rourkela, 22-24 Sep 2016.
  • Presented a paper entitled “Condition Monitoring in Roller Bearings using Cyclostationary Features” in Third International Symposium on Women in Computing and Informatics (WCI2015), ACM International Conference Proceeding Series, at SCMS school of engineering and technology, Ernakulam, 10th to 13th August 2015.
  • Presented a paper entitled “Multicomponent Fault Diagnosis using Statistical Features and Regularized Least Squares” in 2nd International Conference on Innovations in Information, Embedded and Communication systems (ICIIECS-2015), at Karpagam College of Engineering, Coimbatore, 19-20 March 2015.

 Reviewing

  • IEEE Access (IF-3.557)
  • Energy Conversion and Management (IF-6.3), Elsevier
  • Annals of Nuclear Energy (IF-1.38), Elsevier
  • Measurement (IF-3.364), Elsevier
  • Recent Advances in Ubiquitous Computing Book (EAI/Springer Innovations in Communication and Computing Series)
  • 9th International Symposium on Embedded Computing and System Design – 2019 (ISED)

Student Guidance

Doctoral Students

  • Ms. Vandana Padmakumar (CB.AI.R4CEN23016) – Thesis Advisor
  • Ms. Suchithra K P (CB.EN.R4CEN22003) – Thesis Advisor
  • Ms. Likha O V (CB.EN.R4CEN22004)-DC Member
  • Ms. Nanditha R (CB.EN.R4CEN22005) – DC Member
  • Ms. Sreevidya C (CB.EN.D*ECE21012) – Thesis Advisor
  • Mr. Akshay S (CB.EN.D*CEN20002-FT)- DC Member
  • Ms. Shahimol Basheer (CB.EN.D*EEE20006-PT)- DC Member
  • Ms. Radhika R (CB.EN.D*EEE20005-PT)- CO-Guide
  • Mr. Shashank Anivilla (CB.EN.D*.CEN20003-FT)- DC Member
  • Ms. M.Raveenthini (CB.EN.ID*ECE21001-FT)- DC Member

M.Tech. Students

  • 2022: Covid Cough Analysis
  • 2021: Automated Detection of Kidney Stone Using Deep Learning Models
  • 2021: Phonocardiogram Signal Analysis
Professional

Professional Experience

  • Assistant Professor (Senior Grade), Department of Artificial Intelligence, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore. (November 2023-till date)
  • Assistant Professor, Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore. (March 2020-October 2023)
  • Faculty Associate, Department of Electronics and Communication Engineering, Amrita School of Engineering, Amritapuri, Kollam. (July 2019-December 2019).
  • Research Scholar, Center for Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore (August 2013- June 2019).

Professional Activities

  • Organizer of the Special Session titled “Recent Trends in AI: Challenges and Applications” in the Scopus Indexed International Conference/Doctoral Symposium on Computational Intelligence (DoSCI-2022) Organized by Institute of Engineering & Technology, a constituent college of Dr APJ Abdul Kalam Technical University Lucknow, India in association with University of Calabria, Italy during March 5th, 2022.
  • Organizer of the Special Session titled “- AI-powered Solutions to Tackle Covid-19 problems and Beyond” in the Scopus Indexed 5th International Conference on Innovative Computing and Communication Organized by Shaheed Sukhdev College of Business Studies, New Delhi, India in association with National Institute of Technology Patna & Korea Institute of Digital Convergence, South Korea University of Valladolid, Spain
    during 19-20th February, 2022
  • Participated and successfully completed the 5-day online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by AICTE from 22nd to 26th November 2021.
  • Participated and successfully completed the 5th Summer School on Artificial Intelligence from 2-August-2021 to 31-August-2021 organized by IIIT Hyderabad
  • Participated and successfully completed the AICTE sponsored QIP short term course on Digital Communication & Communication Networks held from 14th to 25th June 2021 organized by IIT Bhubaneswar
  • Participated in the online workshop on “Linear algebra optimization and Robotics” organized by CEN department, Amrita Vishwa Vidyapeetham, Coimbatore during 1-2nd Aug, 2020.
  • Participated in the workshop on “Primer on artificial intelligence and data science” organized by CEN department, Amrita Vishwa Vidyapeetham, Coimbatore during 20th -28th Jan 2020.
Projects
  • Sponsored Projects
    Year: 2024
    Funding agency: Indian Council of Medical Research (ICMR
    Title: Screening, Diagnosing and Staging of Retinopathy of Prematurity in Preterm Low Birth Weight Infants using AI
    Duration: 3 years
    Amount: 92 Lakhs
Awards
  • Awarded with two “Publication Merit Award” for research accomplishments in the Amrita Innovation & Research Awards (AIRA) held on April 8, 2021.
  • Received “Letter of Appreciation” from Dean- Faculty of Engineering for publications in journals that are ranked in the top 75+ percentile in Scopus, 2021.
FDPs/Workshops
  • Session on “Fundamentals of Communication Engineering” at the online workshop on “Software defined communication systems” conducted during 16th to 18th September, 2021 organized by the CEN Department, Amrita Vishwa Vidyapeetham.
  • Session on “Introduction to Communication Systems” at the 5-days online “FDP on Third Semester Courses for B-Tech CSE (AI)” conducted during 12th to 18th July, 2020 organized by the CEN Department, Amrita Vishwa Vidyapeetham.
  • Handled hands-on session in the workshop for engineers entitled “Optimization based Signal and Image Processing” for Data Scientists on 22-09-2018, organized by CEN, Amrita School of Engineering, Coimbatore
  • Handled practical classes in the “Summer Course on AI and Data Science” for students and research scholars from 21st to 30th May 2018, organized by CEN, Amrita School of Engineering, Coimbatore.
  • Handled practical classes in the workshop on “A Refresher Experimental Course on Linear Algebra and Optimization for Modern Signal Processing and Pattern Classification (MSP-2017)” organized by CEN, Amrita Vishwa Vidyapeetham, Coimbatore on 25th Nov – 27th Nov, 2017.
  • Handled practical classes in the national level workshop on “Advanced Optimization, Deep Learning and Applications” held at Amrita Vishwa Vidyapeetham, Coimbatore on 30th Jan – 02nd Feb, 2014.

 

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