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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

Dr. Neethu Mohan currently serves as Assistant Professor (Sr.Gr.) at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore Campus. She pursued her Ph.D. under the guidance of Dr. Soman K. P. (Head & Professor, CEN) and her doctoral thesis was titled “Parameter Estimation and Forecasting Methods for Emerging Power Grids Using Data-Adaptive Techniques”. She obtained her BE degree in Electronics and Communication Engineering from Anna University and did her master’s in Remote Sensing and Wireless Sensor Networks from Amrita Vishwa Vidyapeetham.

Publications

Journal Article

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

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 : 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 : 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

Multi-Focus Image Fusion using 2D Compact Variational Mode Decomposition

Cite this Research Publication : S. K, A. S. Tirumalai, N. Mohan, S. K. S and S. K.P, "Multi-Focus Image Fusion using 2D Compact Variational Mode Decomposition," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-6, doi: 10.1109/CONIT59222.2023.10205637

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

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

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

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

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

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

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 : 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,

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

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).
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.
Manuscript Reviewing Service
  • 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 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.
FDP/Workshop Organization
  • 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.

 

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.
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