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Dr. Sachin Kumar S.

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

Qualification: B-Tech, M.Tech, Ph.D
s_sachinkumar@cb.amrita.edu
ORCID
Google Scholar
Scopus
Research Interest: Artificial Intelligence, Data-driven approaches and applications for text, cybersecurity, bio-sequence, biomedical data, machine vision systems, forecasting etc, Graph based machine learning and applications, multimodal data analysis

Bio

Dr. Sachin Kumar S. currently serves as Assistant Professor (Sr. Gr.) at the Department of Artificial Intelligence, School of Artificial Intelligence, Coimbatore Campus.

Education

  • PhD in Natural Language Processing, 2020
    Centre for Computational Engineering and Networking, Coimbatore ,Amrita Vishwa Vidyapeetham
  • M.Tech  in Computational Engineering and Networking Centre for Computational Engineering and Networking, Coimbatore  ,Amrita Vishwa Vidyapeetham, Coimbatore, 2012
  • B.Tech  in Information Technology AITEC, Kollam, Kerala University, 2007

 

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 : 2021

Development of a paper-based analytical device for the colourimetric detection of alanine transaminase and the application of deep learning for image analysis

Cite this Research Publication : P.E. Resmi, S. Sachin Kumar, D. Alageswari, P.V. Suneesh, T. Ramachandran, Bipin G. Nair, T.G. Satheesh Babu, Development of a paper-based analytical device for the colourimetric detection of alanine transaminase and the application of deep learning for image analysis, Analytica Chimica Acta, Elsevier, Volume 1188,2021 (Scopus)

Publisher : Elsevier

Year : 2020

Offensive Language Detection: A Comparison

Cite this Research Publication : Vyshnav MT, Sachin Kumar S, KP Soman, Offensive Language Detection: A Comparison, arXiv:2001.03131 [cs.CL], 2020

Publisher : 2020

Year : 2020

Machine learning approach to detect focal-onset seizures in the human anterior nucleus of the thalamus

Cite this Research Publication : Emilia Toth, Sachin Kumar S, Chaitanya Ganne, Kristen O Riley, Karthi Balasubramanian, Sandipan Pati, Machine learning approach to detect focal-onset seizures in the human anterior nucleus of the thalamus, Journal of Neural Engineering, 2020

Publisher : Journal of Neural Engineering

Year : 2020

VMD-DMD coupled data-driven approach for visual saliency in noisy images

Cite this Research Publication : OK Sikha, KP Soman, Sachin Kumar S, VMD-DMD Coupled Data Driven Approach for Visual Saliency in Noisy Images, Multimedia Tools and Application, Springer, 2020 (Scopus)

Publisher : Springer

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 : 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

Detecting Android malware using Long Short-term Memory (LSTM)

Cite this Research Publication : R. Vinayakumar, Dr. Soman K. P., Poornachandran, P., and S. Kumar, S., “Detecting Android malware using Long Short-term Memory (LSTM)”, Journal of Intelligent and Fuzzy Systems, vol. 34, pp. 1277-1288, 2018.

Publisher : Journal of Intelligent and Fuzzy Systems

Year : 2018

Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing)

Cite this Research Publication : Sachin Kumar S, M Anand Kumar, K P Soman, Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing), Journal of Intelligent Systems, Vol 28, pp 423-435, 2018 (Scopus)

Publisher : Journal of Intelligent Systems

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

Resolving Polysemy in Malayalam Verbs, Language in India

Cite this Research Publication : Mohanraj, Sachin Kumar S, S Rajendran, K P Soman, Resolving Polysemy in Malayalam Verbs, Language in India, vol. 17, 2017

Year : 2017

Salient Region Detection and Object Segmentation in Color Images using Dynamic Mode Decomposition

Cite this Research Publication : O K Sikha, Sachin Kumar S, K P Soman, Salient Region Detection and Object Segmentation in Color Images using Dynamic Mode Decomposition, Journal of Computational Science-Elsevier, Vol 25, pp351-366, 2017

Publisher : Journal of Computational Science-Elsevier

Year : 2017

Real-time automotive engine fault detection and analysis using bigdata platforms

Cite this Research Publication : Yadhu C Nair, Sachin Kumar S, KP Soman, Real-Time Automotive Engine Fault Detection and Analysis Using BigData Platforms, FICTA, Vol 515, pp 507-514, 2016 (Scopus)

Publisher : FICTA

Year : 2016

A Fast and Efficient Framework for Creating Parallel Corpus

Cite this Research Publication : Premjith B, Sachin Kumar S, Shyam R, M Anand Kumar, K P Soman, A Fast and Efficient Framework for creating Parallel Corpus, IJST, Vol 9, 2016

Publisher : Indian Journal of Science and Technology

Year : 2016

A simplified exposition of sparsity inducing penalty functions for denoising

Cite this Research Publication : Shivkaran Sing, Sachin Kumar S, KP Soman, A Simplified Exposition of Sparsity Inducing Penalty Functions for Denoising, ISTA, Springer, Vol 530, pp 1005-1015, 2016 (Scopus)

Publisher : Springer

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 : 2016

Power quality signal classification using convolutional neural network

Cite this Research Publication : P. Binsha, S. Kumar, S., Athira, S., and Soman, K. P., “Power quality signal classification using convolutional neural network”, International Journal of Control Theory and Applications, vol. 9, pp. 6405-6414, 2016.

Publisher : IJCTA

Year : 2016

Experimental analysis of malayalam pos tagger using epic framework in scala

Cite this Research Publication : Sachin Kumar S, M Anand Kumar, K P Soman, Experimental Analysis of Malayalam POS Tagger using Epic Framework in Scala, ARPN Journal of Engineering and Applied Sciences, Vol 11, pp 8017-8023, 2016 (Scopus)

Publisher : ARPN Journal of Engineering and Applied Sciences

Year : 2015

Apache Spark a Big Data Analytics Platform for Smart Grid

Cite this Research Publication : Shyam R, Bharathi Ganesh HB, Sachin Kumar S, Prabaharan P, KP Soman, Apache Spark a Big Data Analytics Platform for Smart Grid, Smart Grid Technologies, Elsevier Procedia Technology, Vol 21, pp 171-178, 2015 (Scopus)

Publisher : Elsevier Procedia Technology

Year : 2015

Multicomponent Fault Diagnosis using Statistical Features and Regularized Least Squares

Cite this Research Publication : Neethu Mohan, Ambika PS, Sachin Kumar S, M Saimurugan, KP Soman, Multicomponent Fault Diagnosis using Statistical Features and Regularized Least Squares, International Journal of Applied Engineering Research, Vol 10, pp 19074-19080, 2015

Publisher : International Journal of Applied Engineering Research

Year : 2014

Novel SVD based character recognition approach for Malayalam language script

Cite this Research Publication : Sachin Kumar S, Manjusha K, KP Soman, Novel SVD based Character Recognition Approach for Malayalam Language Script, Recent Advances in Intelligent Systems and Computing, Springer, Vol 235, pp 435-442, Jan 2014 (Scopus)

Publisher : Springer

Year : 2014

Convolutional neural networks for the recognition of malayalam characters

Cite this Research Publication : R Anil, Manjusha K, Sachin Kumar S, KP Soman, Convolutional Neural Network for the Recognition of Malayalam Characters, International Conference on Frontiers of Intelligent Computing, Springer, Vol 328,pp 493-500, 2014 (Scopus)

Publisher : Springer

Year : 2013

Insight into Primal Dual Augmented Lagrangian Multiplier Method

Cite this Research Publication : Premjith B, Sachin Kumar S, Akhil M, Bijeesh TV, KP Soman, Insight into Primal Dual Augmented Lagrangian Multiplier Method, arXiv: 1312.7637 [cs. NA], 2013

Publisher : International Journal of Computer Science and Information Technology & Security

Year : 2012

Active Contour based document image segmentation and restoration using split-bregman and edge enhancement diffusion

Cite this Research Publication : A. Raghukumar, Dr. Soman K. P., Rajan, P., and Haridas, D., “Active Contour based document image segmentation and restoration using split-bregman and edge enhancement diffusion”, IJCA, 2012.

Publisher : IJCA

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

Year : 2012

Directional Total Variation Filtering Based Image Denoising Method

Cite this Research Publication : S Karthik, Hemanth VK, KP Soman, V Balaji, Sachin Kumar S, M Sabarimalai Manikandan, Directional Total Variation Filtering based Image Denoising Method, IJCSI International Journal of Computer Science Issues, Vol 9, pp 161-170, 2012

Publisher : IJCSI

Year : 2012

A Performance Study on Detection of Hypernasality in Children using MFCC, BFCC and various orders of GMM classifier

Cite this Research Publication : N. George, Soman, K. P., S, S. Kumar, and G, R., “A Performance Study on Detection of Hypernasality in Children using MFCC, BFCC and various orders of GMM classifier”, International Journal of Computer Science and Information Technology & Security, 2012.

Publisher : International Journal of Computer Science and Information Technology & Security

Year : 2012

Hindi Character Segmentation in Document Images using Level set Methods and Non-linear Diffusion

Cite this Research Publication : M. K, Dr. Soman K. P., Rajendran, J., and S, S. Kumar, “Hindi Character Segmentation in Document Images using Level set Methods and Non-linear Diffusion”, International Journal for Computer Applications (IJCA), vol. 44 , no. 16, 2012.

Publisher : IJCA

Year : 2012

Speech Enhancement based on Savitzky-Golay Smoothing Filter

Cite this Research Publication : U. Shajeesh.K., SachinKumar, S., Pravena, D., and Dr. Soman K. P., “Speech Enhancement based on Savitzky Golay Smoothing Filter”, International Journal of Computer Applications, vol. 57, pp. 39-44, 2012.

Publisher : International Journal of Computer Applications

Year : 2012

A Two Stage Algorithm for DenoisingofSpeech Signal

Cite this Research Publication : S. K.U, K. P. Soman, and S, S. Kumar, “ A Two Stage Algorithm for DenoisingofSpeech Signal”, IOSR, 2012.

Publisher : IOSR

Year : 2012

Enhancing Bregmanised NLTV Image Denoising using Savitzky Golay filter and SVD

Cite this Research Publication : Aswathy M, P Rajan, Deepthi TVN, R Das, Sachin Kumar S, K P Soman, Enhancing Bregmanised NLTV Image Denoising using Savitzky Golay Filter and SVD, International Journal of Scientific & Engineering Research, Volume 4, 2013

Publisher : IJSER

Year : 2011

Corpus Driven Malayalam Text-to-Speech Synthesis for Interactive Voice Response System

Cite this Research Publication : Arun S, Sachin Kumar S, Hemanth VK, M Sabarimalai Manikandan, KP Soman, Corpus Driven Malayalam Text-to-Speech Synthesis for Interactive Voice Response System, International Journal of Computer Applications, Vol 29, No 4, 2011

Publisher : International Journal of Computer Applications

Conference Paper

Year : 2023

Social Media Data Analysis for Malayalam YouTube Comments: Sentiment Analysis and Emotion Detection using ML and DL Models

Cite this Research Publication : Abeera V P, Dr. Sachin Kumar, and Dr. Soman K P. 2023. Social Media Data Analysis for Malayalam YouTube Comments: Sentiment Analysis and Emotion Detection using ML and DL Models. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 43–51, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.

Year : 2023

 Enhancing Telugu News Understanding: Comparative Study of ML Algorithms for Category Prediction

Cite this Research Publication : Manish Rama Gopal Nadella, Venkata Krishna Rayalu Garapati, Eswar Sudhan S.k., Gouthami Jangala, Soman K.p., and Sachin Kumar. 2023. Enhancing Telugu News Understanding: Comparative Study of ML Algorithms for Category Prediction. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 108–115, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.

Year : 2023

Improving Reinfocement Learning Agent Training using Text based Guidance: A study using Commands in Dravidian Languages

Cite this Research Publication : Nikhil Chowdary Paleti, Sai Aravind Vadlapudi, Sai Aashish Menta, Sai Akshay Menta, Vishnu Vardhan Gorantla V N S L, Janakiram Chandu, Soman K P, and Sachin Kumar S. 2023. Improving Reinfocement Learning Agent Training using Text based Guidance: A study using Commands in Dravidian Languages. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 33–42, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.

Publisher : INCOMA Ltd., Shoumen, Bulgaria

Year : 2023

An Informal Introduction to Semirings for GraphBLAS using Matlab

Cite this Research Publication : A. A. A, A. Edpuganti, V. Rejathalal, S. K. S, S. K. P and P. Poornachandran, "An Informal Introduction to Semirings for GraphBLAS using Matlab," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-6, doi: 10.1109/CONIT59222.2023.10205881.

Publisher : IEEE

Year : 2023

Optimal Perfect Phylogeny Using ILP and Continuous Approximations

Cite this Research Publication : Pranav Kumaar, B.E., Aadharsh Aadhithya, A., Sachin Kumar, S., Anandaram, H., Soman, K.P. (2023). Optimal Perfect Phylogeny Using ILP and Continuous Approximations. In: Singh, M., Tyagi, V., Gupta, P., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2023. Communications in Computer and Information Science, vol 1848. Springer, Cham. https://doi.org/10.1007/978-3-031-37940-6_11

Publisher : Springer

Year : 2023

Circ RNA Based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV Using Machine Learning

Cite this Research Publication : Vinayak, M., Anandaram, H., Sachin Kumar, S., Soman, K.P. (2023). Circ RNA Based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV Using Machine Learning. In: Singh, M., Tyagi, V., Gupta, P., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2023. Communications in Computer and Information Science, vol 1848. Springer, Cham. https://doi.org/10.1007/978-3-031-37940-6_35

Publisher : SpringerLink

Year : 2023

Sentiment Analysis at Document level of Telugu Data from Multi-Domains

Cite this Research Publication : K. V. Reddy, S. Kumar S and K. Soman, "Sentiment Analysis at Document level of Telugu Data from Multi-Domains," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-8, doi: 10.1109/CONIT59222.2023.10205691.

Publisher : IEEE

Year : 2023

Finding Network Motifs: A comparative study between ILP and Symmetric Rank-One NMF

Cite this Research Publication : Aadharsh Aadhithya A, Sachin Kumar S, Vinith R, Sujadevi V G, Prabaharan Poornachandran, and Soman K P, ”Finding Network Motifs: A comparative study between ILP and Symmetric Rank-One NMF”, The International Conference for Intelligent Technologies, 2023

Publisher : IEEE

Year : 2023

Natural Language Processing as an Information Extraction Tool for Materials Science: A Review

Cite this Research Publication : Manjumol Mathew, Sachin Kumar S, Soman K P, Vinith R, Prabhakaran Poornachandran, ”Natural Language Processing as an Information Extraction Tool for Materials Science: A Review”,Proceedings of 2023 IEEE International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology (5NANO2023)

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

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

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

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

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 : 2022

A comparison between steepest descent and non-linear conjugate gradient algorithms for binding energy minimisation of organic molecules

Cite this Research Publication : J Akshaya, G Rahul, S Rishi Karthigayan, S V Rishekesan, A Harischander, S Sachin Kumar and KP Soman, "A comparison between steepest descent and non-linear conjugate gradient algorithms for binding energy minimisation of organic molecules", Journal of Physics: Conference Series, Volume 2484, International Conference on Material Science, Mechanics, and Technology (ICMMT 2022) 23/12/2022 - 24/12/2022 Indore, India, 2023 J. Phys.: Conf. Ser. 2484 012004.

Publisher : IOP Science

Year : 2022

Meme-Text Analysis: Identifying Sentiment of Memes

Cite this Research Publication : P Aditya Krishna Rohith, Sachin Kumar S, K P Soman, Meme-Text Analysis: Identifying Sentiment of Memes, ADSC, 2022 (Accepted)

Publisher : ADSC

Year : 2022

Oil Spill Detection from Images using Deep Learning

Cite this Research Publication : Vignesh Gopinath, Sachin Kumar S, Neethu Mohan, K P Soman, Oil Spill Detection from Images using Deep Learning, ADSC 2022 (Accepted)

Publisher : ADSC

Year : 2022

Data-Driven Volatile Cryptocurrency Price Forecasting via Variational Mode Decomposition and Bi-LSTM

Cite this Research Publication : Rohith Ramakrishnan, Anirudh Vadakedath, Anirudh Bhaskar, Sachin Kumar S, and KP Soman, Data-Driven Volatile Cryptocurrency Price Forecasting via Variational Mode Decomposition and Bi-LSTM, ICICC, 2022 (Accepted, presented)

Publisher : ICICC

Year : 2022

Biological Sequence Classification using Deep Learning Architecture

Cite this Research Publication : Arrun Sivasubramanian, Prashanth VR, Sachin Kumar S, Soman KP, Biological Sequence Classification using Deep Learning Architectures, ICICC, 2022(Accepted, presented)

Publisher : ICICC

Year : 2021

Deep Learning Based Emotion Classification of Hindi Text from Social Media

Cite this Research Publication : Sruthi S Kumar, Sachin Kumar S, Soman K P, Deep Learning Based Emotion Classification of Hindi Text from Social Media, MISP 2021 (Accepted, Scopus)

Year : 2021

Deep Learning based NLP Embedding Approach for Biosequence Classification

Cite this Research Publication : Shamika Ganesan, Sachin Kumar S and Soman KP, Deep Learning based NLP Embedding Approach for Biosequence Classification, MIKE 2021 (Accepted, Scopus)

Year : 2021

Deep Learning Based Topic Categorization of Tamil Social Media Text Content

Cite this Research Publication : Geerthana Anusha M, Sachin Kumar S, and K.P.Soman, Deep Learning Based Topic Categorization of Tamil Social Media Text Content, MISP 2021 (Accepted, Scopus)

Publisher : MISP

Year : 2021

Stacked LSTM Recurrent Neural Network: A Deep Learning Approach for Short Term Wind Speed Forecasting

Cite this Research Publication : C. Sowmya, A. G. Kumar and S. S. Kumar, "Stacked LSTM Recurrent Neural Network: A Deep Learning Approach for Short Term Wind Speed Forecasting," 2021 International Conference on Intelligent Technologies (CONIT), 2021

Publisher : CONIT

Year : 2021

Multilingual Speech Recognition for Indian Languages

Cite this Research Publication : Priyamvada R, Sachin Kumar S, Bharathi Ganesh HB, Soman KP, Multilingual Speech Recognition for Indian Languages, MISP 2021 (Accepted, Scopus)

Publisher : MISP

Year : 2021

Biological Sequence Embedding Based Classification for MERS and SARS

Cite this Research Publication : Ganesan, S., Sachin Kumar, S., Soman, K.P. (2021). Biological Sequence Embedding Based Classification for MERS and SARS. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham

Publisher : Springer

Year : 2020

Dynamic Modes based Feature with Random Mapping for Sentiment Analysis

Cite this Research Publication : Sachin Kumar S, M Anand Kumar, KP Soman, Prabaharan P, Dynamic Modes based Feature with Random Mapping for Sentiment Analysis, Intelligent Systems, Technologies and Applications (ISTA), Springer, Vol 910, pp 1-15, 2020 (Scopus)

Publisher : Springer

Year : 2019

Deep Neural Network Based Hierarchical Control of Residential Microgrid Using LSTM

Cite this Research Publication : Anu G Kumar, Sindhu M, Sachin Kumar S, Deep Neural Network Based Hierarchical Control of Residential Microgrid Using LSTM, Tencon 2019, IEEE Region 10 Conference, pp 2129-2134, 2019. (Scopus)

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

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

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

Real time Optimal Operation of an Indian Microgrid using Convex Optimisation

Cite this Research Publication : Anu G Kumar, Sindhu M, Sachin Kumar S, Real Time Optimal Operation of an Indian Microgrid using Convex Optimisation, Internation Conference on Circuits and Systems in Digital Enterprise Technology, IEEE, pp 1-5, 2018 (Scopus)

Publisher : IEEE

Year : 2018

Fabrication of Paper Microfluidics POCT Device for the Colorimetric Assay of Alkaline Phosphatase

Cite this Research Publication : Reshmi PE, John S, Sachin Kumar S, Ramachandran T, Satheesh Babu TG, Fabrication of Paper Microfluidics POCT device for the colorimetric assay of Alkaline phosphatase, IEEE Indicon 2018 (Scopus)

Publisher : IEEE Indicon

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 : 2018

Evaluating deep learning approaches to characterize and classify the DGAs at scale

Cite this Research Publication : Vinaykumar R, K P Soman, Prabaharan P, Sachin Kumar S, Evaluating Deep Learning Approaches to Characterize and Classify the DGA at Scale, Journal of Intelligent and Fuzzy Systems, Vol 34, pp 1265-1276, 2018

Publisher : , Journal of Intelligent and Fuzzy Systems

Year : 2017

Sentiment Analysis on Malayalam Twitter data using Long Short-Term Memory Units and Convolutional Neural Nets

Cite this Research Publication : Sachin Kumar S, M Anand Kumar, KP Soman, Sentiment Analysis on Malayalam Twitter data using Long Short-Term Memory Units and Convolutional Neural Nets, Lecture Notes in Artificial Intelligence, Springer, pp 320-334, 2017 (Scopus)

Year : 2017

DEFT 2017 – Texts Search @ TALN / RECITAL 2017: Deep Analysis of Opinion and Figurative language on Tweets in French

Cite this Research Publication : Vinayakumar R, Sachin Kumar S, Premjith B, Prabaharan P, KP Soman, DEFT 2017 – Text Search @ TALN/RECITAL 2017 : Deep Analysis of Opinion and Figurative language on Tweets in French, TALN/RECITAL Shared Task, 2017 (Scopus)

Publisher : TALN/RECITAL

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

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets

Cite this Research Publication : Vinayakumar R, B. Premjith, Sachin Kumar S., Dr. Soman K. P., and Prabaharan Poornachandran, “deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets”, in Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017.

Publisher : EMNLP-WASSA

Year : 2017

Deep Stance and Gender Detection in Tweets on Catalan Independence@IBEREVAL

Cite this Research Publication : Vinayakumar R, Sachin Kumar S, Premjith B, KP Soman, Deep Stance and Gender Detection in Tweets on Catalan Independence@IBEREVAL, IBEREVAL, pp 222-229, 2017, (Scopus)

Publisher : IBEREVAL

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

Text/Image Region Separation for Document Layout Detection of Old Document Images Using Non-linear Diffusion and Level Set

Cite this Research Publication : Sachin Kumar S, Parvathy R, Prabaharan P, KP Soman, Text/Image Region Separation for Document Layout Detection of Old Document Images using Non-linear Diffusion and Level Set, ICACC 2016, Elsevier Procedia Computer Science, Vol 93, pp 469-477, 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

Self-sufficient Smart Prosumers of Tomorrow

Cite this Research Publication : Lakshmi P, Sugatha KPR, Sharanya Chandran, Sachin Kumar S, KP Soman, Self-sufficient Smart Prosumers of Tomorrow, Smart Grid Technologies, Elsevier Procedia Technology, Vol 21, pp 338-344, 2015 (Scopus)

Publisher : Elsevier Procedia Technology

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

Year : 2015

AMRITA_CEN-NLP@SAIL2015: Sentiment analysis in indian language using regularized least square approach with randomized feature learning

Cite this Research Publication : Sachin Kumar S, Premjith B, M Anand Kumar, KP Soman, AMRITA_CEN-NLP@SAIL2015: Sentiment analysis in Indian language using regularized least square approach with randomized feature learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, Volume 9468, Hyderabad India, p.671-683 (2015) (Scopus)

Publisher : Springer

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 : 2014

Performance comparison of VMD over EWT for the classification of power quality disturbances using SVM

Cite this Research Publication : Aneesh C, Sachin Kumar S, PM Hisham, KP Soman, Performance comparison of VMD over EWT for the classification of power quality disturbances using SVM, International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 372-380, 2014 (Scopus)

Publisher : Elsevier Procedia Computer Science

Year : 2014

A low cost implementation of multi-label classification algorithm using mathematica on Raspberry Pi

Cite this Research Publication : Neethu J, R Surya, R Ashwini, Sachin Kumar S, KP Soman, A low cost implementation of multi-label classification algorithm using Mathematica on Raspberry Pi, International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 306-313, 2014 (Scopus)

Publisher : Elsevier Procedia Computer Science

Year : 2014

Spike detection of disturbed power signal using VMD

Cite this Research Publication : Amitha V, Jyotsna JK, Nithya K, Sachin Kumar S, KP Soman, Spike Detection of Disturbed Power Signal using VMD, International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 1087-1094, 2014 (Scopus)

Publisher : Elsevier Procedia Computer Science

Conference Proceedings

Year : 2015

Variance Based Offline Power Disturbance Signal Classification Using Support Vector Machine and Random Kitchen Sink

Cite this Research Publication : C Aneesh, PM Hisham, Sachin Kumar S, P Maya, KP Soman, Variance based offline Power Disturbance Signal Classification using Support Vector Machine and Random Kitchen Sink, International conference on SMART GRID Technologies, Elseiver, Vol 21, pp 163-170, 2015 (Scopus)

Publisher : Elsevier

Year : 2014

Deep model for classification of hyperspectral image using restricted Boltzmann machine

Cite this Research Publication : Midhun EM, Sarath R Nair, Nidhin PTV, Sachin Kumar S, Deep Model for Hyperspectral Image Classification using Restricted Boltzman Machines, International Conference on Interdisciplinary Advances in Applied Computing, ACM-Sig Conference, 2014 (Scopus)

Publisher : ACM-Sig Conference

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

Comparative study of recent compressed sensing methodologies in astronomical images

Cite this Research Publication : Nidhin PTV, Hemanth VK, Sachin Kumar S, KP Soman, Arun S, Comparative Study of Recent Compressed Sensing Methodologies in Astronomical Images, Eco-friendly Computing and Communication Systems Communication in Computer and Information Science (Springer), Vol 305, pp 108-116, 2012 (Scopus)

Publisher : Communications in Computer and Information Science

Year : 2012

A Robust Watermarking method based on Compressed Sensing and Arnoldscrambling

Cite this Research Publication : Veena VK, Jyothish Lal G, Vishnu P, Sachin Kumar S, KP Soman, A Robust Watermarking method based on Compressed Sensing and Arnold Scrambling, International Conference on Machine Vision and Image Processing, IEEE, pp 105-108, 2012 (Scopus)

Publisher : IEEE

Book Chapter

Year : 2020

Modern Signal Processing with Linear Algebra and Optimization

Cite this Research Publication : Dr. Soman K. P., Sachin Kumar S., and Neethu Mohan, “Modern Signal Processing with Linear Algebra and Optimization”, in Modern Signal Processing with Linear Algebra and Optimization, vol. Vol 1 – Linear Algebra for Signal Processing , 2020.

Year : 2020

Resolving Polysemy in Malayalam Verbs Using Context Similarity

Cite this Research Publication : Mohanraj, Sachin Kumar S, S Rajendran, KP Soman, Resolving polysemy in Malayalam verbs using context similarity, EAI/Springer book Recent Advances in Ubiquitous Computing, 2020

Publisher : EAI/Springer book Recent Advances in Ubiquitous Computing

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

Identifying Sentiment of Malayalam Tweets Using Deep Learning

Cite this Research Publication : Sachin Kumar S, M Anand Kumar, K P Soman, Identifying Sentiment of Malayalam Tweets using Deep Learning, Springer Digital Business, Springer Cham, pp 391-408, 2019

Publisher : Springer Cham

Year : 2019

Modern Time-Frequency Techniques for Signal Analysis and its Applications

Cite this Research Publication : Neethu Mohan, Sachin Kumar S, K P Soman, Modern Time-Frequency Techniques for Signal Analysis and its Applications, Studies in Computational Intelligence, Springer, 2019

Publisher : Springer

Year : 2019

Word Sense Disambiguation in Malayalam using Noun

Cite this Research Publication : Mohanraj, Sachin Kumar S, S Rajendran, K P Soman, Word Sense Disambiguation in Malayalam using Noun, Studies in Computational Intelligence, Springer, 2019

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

Poster

Year : 2019

Temporal Trends and Predictors of Anterior Thalamic Ictal Recruitment in Human Focal Epilepsy

Cite this Research Publication : Emilia Toth, Diana Pizarro, Sachin Kumar S, Loannis Vlachos, Adeeli Ilyas, Andrew Romeo, Kristen Riley, Karthi Balasubramanian, Sandipan Pati, Temporal Trends and Predictors of Anterior Thalamic Ictal Recruitment in Human Focal Epilepsy, presented at American Epilepsy Society Annual Meeting, 2019.

Publisher : American Epilepsy Society Annual Meeting

Professional Experience
  • Assistant Professor (Sr. Gr.)
    June 2023 – till date
    Amrita School of Artificial Intelligence, Coimbatore
    Amrita Vishwa Vidyapeetham, Tamil Nadu, India
  • Assistant Professor 
    Sept 2020 – May 2023
    Centre for Excellence in Computational Engineering and Networking
    Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu
  • Faculty Associate
    March 2020 – August 2020
    Centre for Excellence in Computational Engineering and Networking
    Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu
  • Data Science Consultant 
    (Natural Language Processing, Machine Vision System, Bio-Signal Analysis) August 2019 – Feb 2020
  • Data Science Engineer 
    February 2019 – July 2019
    Founding Minds, Technopark, Trivandrum, Kerala
  • Research Assistant 
    April 2015 – December 2018
    Amrita Centre for Cyber Security,  Amrita Vishwa Vidyapeetham, Kollam, Kerala
  • Research Associate 
    August 2012 – March 2015
    Centre for Excellence in Computational Engineering and Networking
    Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu
  • Junior Research Associate 
    Sept 2011 – Feb 2012
    Centre for Excellence in Computational Engineering and Networking
    Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu
  • Junior Training Officer
    August 2009 – November 2009
    Centre for Corporate Relations, Amrita Vishwa Vidyapeetham, Kollam, Kerala
  • Software Engineer
    August 2007 – July 2009
    Amrita E-learning Research Initiatives, Amrita Vishwa Vidyapeetham, Kollam, Kerala
Awards

Awards & Achievements

  • Chief guest for ‘Virtual Ideathon 2020’, AJ Inst. of Engg & Tech, Mangalore.
  • Three ‘Amrita Innovations & Research Awards’, 2021.
  • ‘Letter of Appreciation’ from Dean Faculty-Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, for Research publications, 2021.
  • “Award of Excellence in Research 2021-2022” from Novel Research Academy (Reference no: NRA/AER/0111895/2021-2022).

Academic Roles and Responsibilities:

  • Deputy Director of Admissions, Amrita School of AI, Amrita Vishwa  Vidyapeetham, India
  • Research Committee Member, Amrita School of AI, Coimbatore, Amrita Vishwa  Vidyapeetham, India
  • Faculty, Class Advisor, Class Counselor
  • Dept. International Relations Coordinator
  • Curriculum design
  • Organize Workshops/Seminars
Reviewer
  • Elsevier – Applied Mathematical Modelling
  • Elsevier – Applied Energy
  • Elsevier – DSP
  • Elsevier – Measurements
  • Elsevier – Information Sciences
  • Elsevier – Ocean Engineering
  • Taylor & Francis – Applied Artificial Intelligence
  • IEEE – IEEE Transactions on Cybernetics
  • IEEE Access
  • ACM Transactions on Asian and Low Resource Language Information Processing
Sessions

Session on Materials Informatics, Sreepathy College of Engineering, Kerala, 2023

  • Organized Workshop on ‘Transformers: Applications in Text and Image’,  April 2023, at Amrita Vishwa Vidyapeetham, Coimbatore
  • Organized workshop series on Applications of Dynamic Mode Decomposition, Feb 2023, at Amrita Vishwa Vidyapeetham, Coimbatore
  • Resource person for FDP on ‘NLP’, at Shri Madhwa Vadiraja Institute of Technology and Management, July 2022
  • Session on Java based Blockchain, 2021
  • Session on Social Media Data Analysis, Manipal University of Higher  Education, Manipal, 2020
  • One day FDP @ Gov Engineering College, Kannur on Machine Learning, October 2019
  • Three day Workshop on Machine Learning @ AJET, Mangalore, August 2019
  • Participated in Intuit Tech Bridge Program at Bangalore, July 2018
  • Session on Introduction to Machine Learning with Deep Learning at Amrita Vishwa Vidyapeetham, Coimbatore campus; Mepco Shlenk Engineering College, Sivakasi, Tamil Nadu and;  TKM Engineering College, Kerala – Jan 2018
  • Sessions on Linear Algebra and Optimization for Machine Learning to MTech and Research students
  • Session on Deep Learning for Research groups
  • Sessions on Machine Learning for Research groups from Industry, Academics  & Govt, in the period 2015 – 2016
  • Assisted Dr. K. P. Soman for a talk on Biomedical Image Processing at PSG College of Technology, April 2014, Coimbatore
  • Assisted Dr. K. P. Soman for a talk on Data Mining and Machine Learning at Rajagiri School of Engineering, Ernakulam, Kerala, April 2014
  • Assisted Dr. K. P. Soman for the FDP programme on Emerging  Research Avenues in Signal and Image Processing lecture titled Wavelets for Signal and Image Processing on Oct 23, 2013, at PSG College of Technology, Coimbatore (conducted by Dept of ECE)
  • Assisted Dr. K. P. Soman for the FDP programme on Wireless Technologies for Modern Medical Equipment’s on Nov 18, 2013, at PSG College of  Technology, Coimbatore (conducted by Dept of Biomedical Engineering)
  • Assisted Dr. K. P. Soman and Dr. M. Anand Kumar for the programme on Introduction to Translation at Central Institute of Indian Languages – Mysore,  in delivering a one day session titled “Machine Translation”, dated Dec 16, 2013. Gave a project demonstration of “Hindi Machine Translation System”

Special Session Chaired/Organized:

  • Special session on Recent Trends in AI: Challenges and Applications, International Conference/Doctoral Symposium on Computational Intelligence, 2022
  • Special Session on AI Powered solutions to tackle Covid-19 problems and Beyond, 5 th International Conference on Innovative Computing and Communication
  • Special Session on Multimodal Data Representation and Analysis, FICTA 2022
Courses offered
  • 2020-2021 Odd ‘19AIE105 Object-Oriented Programming’ (3rd Semester, 73 B.Tech students)
  • 2020-2021 Odd ‘19AIE202 Operating System’ (3rd Semester, 73 B.Tech students)
  • 2020-2021 Odd ‘19BIO201 Intelligence of Biological Systems 3’ (3rd Semester, 73 B.Tech students)
  • 2020-2021 Even ‘19BIO211 Intelligence of Biological Systems 4’ (4th Semester, 73 B.Tech students)
  • 2020-2021 Even ‘19AIE111 Data Structures and Algorithm 1’ (2nd Semester, 73 B.Tech students)
  • 2021-2022 Odd ‘21AIE105 Object-Oriented Programming’  (3rd Semester ,157 B.Tech students)
  • 2021-2022 Even ‘21AIE314 AI in Natural Language Processing’ (6th Semester, 73 B.Tech students)
  • 2021-2022 Even ‘21AIE111 Data Structures and Algorithm 1’ (2nd Semester, 156 B.Tech students)
  • 2022-2023 Odd ‘21AIE203 Data structures and Algorithms 2’ (3rd Semester, B.Tech students)
  • 2022- 2023 Odd ‘19AIE495 Mini Project’ (7th Semester,  73 B.Tech students)
  • 2022-2023 Even ‘21AIE314 AI in Natural Language Processing’ (6th Semester, 73 B.Tech students, current)
  • 2022-2023 Even ‘21DS635 Big Data Framework for Data Science’ (2nd  Semester M.Tech, 18 students, current)
  • 2023-2024 Odd ‘21AIE303 Signal & Image Processing’ (5th Semester, 156  BTech students) 2023-2024 Even ‘21AIE314 AI in Natural Language Processing’ (6th  Semester, 156 B.Tech students)

 

Project Guide

Project Guide

Postgraduate:

2019-2021

  • NLP based approach for Genetic Sequence Analysis
  • Deep Learning Based Topic Categorization of Tamil Social Media Text  Content
  • Multilingual Speech Recognition for Indian Languages
  • Deep learning based Emotion Classification of Hindi text from social media

2020-2022

  • Meme-Text Analysis: Identifying Sentiment of Memes
  • Sentiment Analysis on Telugu News Headlines
  • Oil Spill detection from Images using Deep learning

2021-2023

  • Covid 19 Twitter Sentiment Classification using Dynamic Mode Decomposition and Higher-order Dynamic Mode Decomposition methods
  • Sentiment Analysis at Document level of Telugu Data from Multi-Domains
  • Covid cough analysis
  • A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA

2022-2024

  • Gas leakage detection using AI
  • Offensive language detection using semi-supervised method
  • Indic language text analysis using Graph Convolution method
  • Raga identification using AI

Undergraduate:

2019-2023

  • Chaos Game Representation for Virus Gene Classification using MFDFA and DMD Features

2020-2024

  • Dynamic mode decomposition based microstructural analysis
  • Named entity recognition for medical text content using deep learning

PhD scholars:

  1. Ms. Abeera VP
  2. Ms. Likha OV
  3. Ms. Manjumol Mathew

Postdoctoral Fellow:

  1. Dr. S Abhishek

 

Admissions Apply Now