KEC Faculty Profile

Journal Publication 

1. A.Kogilavani.,Dr.P.Balasubramanie., “Ontology enhanced clustering based summarization of medical documents”, International Journal of Recent Trends in Engineering, Vol.1,No.1, pp.546-549, May 2009

2. A.Kogilavani.,Dr.P.Balasubramanie., "Clustering and Feature Specific Sentence Extraction based Summarization of Multiple Documents”, International Journal of Computer Science and Information Technology, Vol.2, No.4, pp.99-111, August 2010

3. A.Kogilavani.,Dr.P.Balasubramanie., "Clustering Based Extractive Summary Generation", International Journal of Computer Information Systems, Vol.1, No.2, pp.1-5, September 2010

4. A.Kogilavani.,Dr.P.Balasubramanie., "Semantic Summary Generation from Multiple Documents using Feature Specific Sentence Ranking", Elixir Computer Science Engineering Online Journal, Vol.40, pp.5372-5375, November 2011

5. A.Kogilavani.,Dr.P.Balasubramanie., “Multi-Document Summarisation Using Genetic Algorithm-based Sentence Extraction”, International Journal of Computer Applications in Technology, Inderscience Publication, Vol. 40, No. 5, pp. 246-253, 2011

6. A.Kogilavani.,Dr.P.Balasubramanie., “Comparative Analysis of Clustering and Genetic Algorithm Based Multi-Document Summarization", International Journal of Computational Cognition, Vol.10, No.2, pp.18-25, June 2012

7. A.Kogilavani.,Dr.P.Balasubramanie., “Sentence Annotation based Enhanced Semantic Summary Generation from Multiple Documents”, American Journal of Applied Sciences, Vol. 9, No. 7, pp. 1063-1070, 2012

8. A.Kogilavani.,Dr.P.Balasubramanie., “Update Summary Generation based on Semantically Adapted Vector Space Model”, International Journal of Computer Applications, United States, Vol.42, No. 16, pp. 32-39, March 2012

9. A.Kogilavani, Ms.K.Ambika, Dr.P.Balasubramanie, "Feature Based Semantic Summary Generation", International Journal of Operations System and Human Research, Vol.2, No.1-2, pp.1-12, Jan-Dec 2012

10. Dr.S.V.Kogilavani., Dr.C.S.Kanimozhiselvi., Dr.S.Malliga., “Automatic Enhanced Update Summary Generation System for News Documents”, International Journal of Computer, Control, Quantum and Information Engineering, World Academy of Science, Engineering and Technology, Vol.9, No.2, pp.361-366, February 2015

11. R.I.Sakthika., Dr.S.V.Kogialvani., “An Integration of Triple Parser with Supervised Learning Algorithm for Search Engine Development”, International Journal of Applied Engineering Research, Research India Publications, Vol.10 No.20, pp:15253-15258, 2015

12. Dr.S.V.Kogilavani., Dr.C.S.Kanimozhiselvi., Dr.S.Malliga., “Summary generation approaches based on semantic analysis for news documents”, Journal of Information Science, Vol.42(4), pp.465-476, 2016.

13. Dr.S.Malliga., Dr.C.S.Kanimozhiselvi., Dr.S.V.Kogilavani., “A Low Storage and Traceback overhead IP Traceback: A Hybrid Approach”, Journal of Information science and engineering, Vol.32, pp.27-45, 2016

14. Dr.S.V.Kogilavani., Ms.V.Naveena.,"Service Recommendation based on Ranking using Keywords in Hadoop", Journal of Scientific Research and Reports, Vo.10, Issue.4, pp.1-9, 2016.

15. Dr.C.S.Kanimozhiselvi, Dr.S.Malliga, Dr.S.V.Kogilavani, "Automated Support Thresholds for Rule Mining", International Journal of Business Intelligence and Data Mining, Vol.11, No.2, pp.151-170, Jan 2017

16. Dr.S.V.Kogilavani, Dr.R.Thangarajan, Dr.S.Malliga, Dr.C.S.Kanimozhiselvi, "Semantic Ranking Based Service Recommendation System using MapReduce on Big Datasets", International Journal of Advances in Computer and Electronics Engineering, Vol.2,Issue.4,pp.36-43, April 2017

17. Dr.S.V.Kogilavani, Dr.S.Malliga, Dr.C.S.Kanimozhiselvi, "Machine Learning Approaches for Sentence Level Paraphrase Identification", International Journal of Software and Computer Science Engineering, Vol.2,Issue.2,pp.1-15, May 2017

18. Dr.S.V.Kogilavani, Dr.R.Thangarajan, Dr.C.S.Kanimozhiselvi, Dr.S.malliga, "Detecting Paraphrases in Tamil Language Sentences", International Research Journal of Engineering and Technology, Vol.4, Issue.5, pp.442-446, May2017

19. Dr.S.Malliga, Dr.C.S.Kanimozhiselvi, Dr.S.V.Kogilavani, "Design of Cost-Effective Printer to print Tactile Images for the Visually Impaired", Journal of Image Processing and Artificial Intelligence, Vol.3, No.2, May

20. Dr.S.V.Kogilavani, K. S.Puujhitha, J. Priyadharshini, S. Poovendran, "Customer Behavior Prediction using Machine Learning Techniques", International Journal on Future Revolution in Computer Science & Communication, Special Issue, March 2018, pp.73-79

21. Dr.S.V.Kogilavani, Dr.C.S.Kanimozhiselvi, Dr.S.Malliga, "Sentence Level Paraphrase Identification System for Tamil Language", International Journal of Darshan Institute of Engineering Research and EmergingTechnologies, Vol:7, No:1, pp.26-30, 2018.

22. Rajkumar, Dr.S.V.Kogialvani,K.Venkatesh, "A Survey on Data Mining Techniques for Website Phishing Detection", International Journal of Pure and Applied Mathematics, Vol:119, No:16, pp.2127-2133

23. Dr.S.V.Kogilavani, Dr.S.Malliga, Dr.C.S.Kanimozhiselvi, "Text Document Classification using Machine Learning and Optimization Techniques",International Journal of New Technologies in Science and Engineering,Vol:5, Issue:4, pp.119-123

24. Dr.C.S.Kanimozhiselvi, Dr.S.V.Kogilavani, Dr.S.Malliga, Mr.D.Jayaprakash, "Short Text Segmentation for Improved Query Processing",International Journal for Research in Applied Science and Engineering Technology, Vol:6,Issue:3,pp.2719-2724,March 2018

25. Dr.C.S.Kanimozhiselvi, Dr.S.V.Kogilavani, Dr.S.Malliga, Mr.D.Jayaprakash, "Classification and Prediction of Diabetics using Weka and Hive Tool",International Journal of Advance Engineering and Research Development,Vol:5,Issue:4,pp.105-111,April 2018

26. Dr.S.V.Kogilavani, Dr.S.Malliga, "Deep Learning based Model for Plant Disease Detection", International Journal of Innovative Technology and Exploring Engineering,Vol:8, Issue:12, pp.3416-3420, October 2019

27. Dr.S.Malliga, Dr.S.V.Kogilavani, Ms.P.S.Nandhini,"A Marking/Traceback System for Detecting the Source of Dos/Ddos Attacks", International Journal of Engineering and Advanced Technology, Vol:9, Issue:2, pp.874-878, December 2019.

28. Kogilavani, S.V., Harsitha, K., Jayapratha, P., Mirtthula, S.G.,"Heart disease prediction using machine learning techniques ", International Journal of Advanced Science and Technology, Vol:29, No:3s, pp.78-87, March 2020.

29. Kogilavani, S.V., Malliga, S., Jaipriya, G., Kausalyaa, S.T., Makeshkumar, R., "Tuberculosis detection using SVM and CNN", International Journal of Advanced Science and Technology, Vol:29, No:3s, pp:1039-1048, March 2020.

30. Malliga, S., Kogilavani, S.V., Jaivignesh, D., Jeevananth, S., "Classification of plant seedlings using deep learning architectures ",

31. International Journal of Advanced Science and Technology, Vol:29, No:3s, pp:1024-1030, March 2020.

32. Shanthi S, Sandhiya R, Kogilavani S V, "Analysis of Social Networking Sites Addiction: A Systematic Review", International Journal of Advance and Innovative Research, Vol:8, Issue:3, pp.102-108, July-September 2021.

33. Loganathan P, Shanmugavaddivel N, Kogilavani S V, "Design and Implementation of Thyristor based automatic onload tap changer using ANN-IOT", Journal of Advanced Research in Dynamical and Control Systems, Vol: 12, Issue:7, pp:1802-1807, 2020.

34. Malliga S, Kogilavani S V, Jaivignesh D, Jeevananth S, "Classification of Plant Seedlings using Deep Learning Architectures", International Journal of Advanced Science and Technology, Vol:29, Issue:3, pp.1024-1030, 2020.

35. S. V. Kogilavani , J. Prabhu, R. Sandhiya, M. Sandeep Kumar, UmaShankar Subramaniam, Alagar Karthick , M. Muhibbullah , and Sharmila Banu Sheik Imam , "COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques", Computational and Mathematical Methods in Medicine , Vol:2022, Article ID: 7672196, https://doi.org/10.1155/2022/7672196, January 2022.

36. Dr.S.V.Kogilavani, S.T.Kausalyaa,G.Jaipriya, R.Mahesh Kumar," Tuberculosis Detection using SVM and CNN", 7th National Conference on Networking, Intelligence and Computing, Kongu Engineering College, Perundurai, March 2020.

37. C. Rajeshkannan and S. V. Kogilavani, "Analysis of Environmental Flood Prediction using Sophisticated Machine Learning Algorithm with Implementation in Social Media", Journal of Environmental Protection and Ecology, Vol:21, No:5, pp.1837-1849, 2020. 

38. C. Rajeshkannan and S. V. Kogilavani, " Reconstructing Geographical Flood Probability and Analyzed Inundation Flood Mapping on Social Media Implementation", Studies in Inforamtics and Control, Vol:30, Issue:1, pp:29-38, 2021

39. P.Rajkumar, S.V.Kogilavani,"Opinion mining for user experience evaluation model using kernel-naïve bayes classification algorithm", Journal of Engineering Research, Volume 9, Year 2021, Pages 1-15

40. Malliga Subramanian, Kogilavani Shanmuga Vadivel, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Mohamed Abdelhady, and Sathishkumar V E , "The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis", Expert Systems, Available in online, 10.1111/exsy.12834, November 2021.

41. S. V. Kogilavani, S. Malliga, A. Preethi, L. Nandhini, and S. R. Praveen,"A Comprehensive Analysis on Question Classification Using Machine Learning and Deep Learning Techniques", Lecture Notes on Data Engineering and Communications Technologies, Vol:68, pp.825-838, January 2022.

42. C. Rajeshkannan and S. V. Kogilavani, "Modelling of Flood Prediction by Optimizing Multimodal Data Using Regression Network", Lecture Notes on Data Engineering and Communications Technologies, Vol:68, pp.489-511, January 2022.

43. S. V. Kogilavani , J. Prabhu, R. Sandhiya, M. Sandeep Kumar, UmaShankar Subramaniam, Alagar Karthick , M. Muhibbullah and Sharmila Banu Sheik Imam, "COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques", Hindawi Computational and Mathematical Methods in Medicine", Vol:2022,  Article ID 7672196, pp. 1 - 13, February 2022.

44. Pandiyarajan Rajkumar, Shanmugavadivel Kogilavani, "Opinion Mining for User Expression Evaluation Model using Bayesian estimation of Markov Chain Monte Carlo Technique", DYNA Journal, Vol:97, Issue:2, pp.189-194, March 2022.

45. S.Malliga, P.S.Nandhini, S.V.Kogilavani, "A Comprehensive Review of Deep Learning Techniques for the Detection", Information Technology and Control, Volume 51, Year 2022, Pages 180-215.

46. Dhivya Rajaram, Kogilavani Shanmugavadivel, "Moving Objects Detection, Classification and Tracking of Video Streaming bu Improved Feature Extraction Approach using K-SVM", Vol:97, pp.274-280, May 2022.

47. KogilavaniShanmugavadivel, Sai HarithaSampatha, PramodNandhakumara, PrasathMahalingama, MalligaSubramanian, Prasanna KumarKumaresan, RubaPriyadharshini, "An analysis of machine learning models for sentiment analysis of Tamil code-mixed data", Computer Speech & Language, Vol:76, November 2022, 101407, Available in online, https://doi.org/10.1016/j.csl.2022.101407.

48. Malliga Subramanian, Kogilavani Shanmugavadivel, P.S.Nandhini, "On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves", Neural Computing and Applications, Available in online march 2022,https://doi.org/10.1007/s00521-022-07246-w.

49. MalligaSubramanian,RahulPonnusamy,SeanBenhur,KogilavaniShanmugavadivel,AdhithiyaGanesan,DeeptiRaviaGowtham,"Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer ", Computer Speech & Language, Vol:76, November 2022, 101404, Available in online, https://doi.org/10.1016/j.csl.2022.101404.

50. Rajeena P. P., F.; Orban, R.; Kogilavani Shanmugavadivel.; Subramanian, Malliga.; Muthusamy, Suresh.; Elminaam, D.S.A.; Nabil, A.; Abulaigh, L.; Ahmadi, M.; Ali, M.A.S. A Novel Method for the Classification of Butterfly Species Using Pre-Trained CNN Models. Electronics 2022, 11, 2016. https://doi.org/10.3390/electronics11132016

51. R.Dhivya, S.V.Kogilavani, An Optimised Regional-Based Convolutional Neural Network For Detecting Moving Objects In Multimedia Streams For Environmental Protection, Journal of Environmental Protection and Ecology, Vol:23, Issue:7, pp:2970-2976, 2022.

52. Malliga Subramanian, Vani Rajasekar, Sathishkumar VE, Kogilavani Shanmugavadivel, PS Nandhini, Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification, Electronics, Vol:11, Issue:24, 2022 

53. Shanmugavadivel K.;Sathishkumar V.E.;Raja S.;Lingaiah T.B.;Neelakandan S.;Subramanian M., Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data, Scientific Reports, Vol:12, Issue:1, 2022.

54. Malliga Subramanian, Veerappampalayam Easwaramoorthy Sathishkumar, Jaehyuk Cho, Kogilavani Shanmugavadivel, Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images , Scientific Reports, Vol:13, Issue:1, 2023.

55. Kogilavani Shanmugavadivel, V.E. Sathishkumar, Jaehyuk Cho, Malliga Subramanian, Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection, Ageing Research Reviews, Volume 91, 2023, 102072 

56. Kogilavani Shanmugavadivel, Murali Dhar M S, Mahesh T R, Taher Al-Shehari, Nasser A. Alsadhan & Temesgen Engida Yimer, Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data, BMC Medical Informatics and Decision Making, Vol:24,A.No:281, 2024.

Paper Presented in National Conferences

1. Embedded System Design Using UML,National Seminar on Uml Based Desing Environment for Interactive Applications, Thiagarajar College of Engineering, Madurai, March 2004

2. Spatial Data Mining Approaches, National Conference on Recent Trends in IT, Vivekanandhaa College of Engineering for Women, Tiruchengode, September 2004

3. Implementation of TeleHealth for Clinical Applications, National Conference on IT Applications for Rural Development and Health Care, Kongu Engineering College, March 2005

4. Targeted Information Retrieval on XML Documents, National Conference on Social Benefits through Applications of IT, KEC, December 2016

5. A review on Multi-Document Summarization, National Research Conference on Challenges and Innovations in Information Technology, KEC, February 2008

6. C.Anly Vathana, A.Kogilavani, “Semantic Multi -document summary generation”, National Conference on Recent Advances in Computer Vision and Information Technology, Government College of Technology, Coimbatore March, 2011

7. C.Anly Vathana, A.Kogilavani, “Semantic based text summarization”, National Conference on Natural Language Processing, Kumaraguru College of Technology, Coimbatore March 2011

8. K.Ambika, A.Kogilavani, “Feature based Semantic Multi-Document Update Summary Generation”, DRDO sponsored Third National Conference on Innovations in Information Technology, Bannari Amman Institute of Technology, Sathy February 2012

9. Dr.S.V.Kogilavani, Dr.S.Malliga, “Update Summary Generation based on Semantically Adopted Vector Space Model and Semantic Element Extraction Strategy”, National conference on Recent Advances and Security Trends in Computing Methodologies, N.S.N College of Engineering and Technology, Karur, April 2015

10. R.I.Sakthika, Dr.S.V.Kogialvani, “A Novel Approach of Triple Parser with Predicate Based Approach for Search Engine Development”, National conference on Recent Advances and Security Trends in Computing Methodologies, N.S.N College of Engineering and Technology, Karur, April 2015

11. Dr.S.V.Kogilavani, Ms.A.Manju, Ms.M.Priyanga, "Investigation of Keyword Selection Approaches for Patent Documents Analysis",National Conference on Innovations in Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, February 2016

12. Ms.P.Sowmiya, Ms.S.Shathya, Ms.E.Vidhya, Dr.S.V.Kogilavani, " Paraphrase Detection System for Tamil Sentences using Machine Learning Techniques", National Conference on Computing Perspectives on Smart City, Kumaraguru College of Technology, Coimbatore, march 2017

13. Customer Behavior Prediction using Machine Learning Techniques, "3rd National Conference on Innovative Research Trends in Computer Science and Technology", March 2018

14. Text Document Classification using Machine Learning and Optimization Techniques, 5th National Conference on Networking, Intelligence and Computing, March 2018.

15. Dr.S.V.Kogilavani, K.Harshita,P.Jayapratha, S.G.Mirthula, "Heart Disease Prediction using Machine Learning Classifiers",7th National Conference on Networking, Intelligence and Computing, Kongu Engineering College, Perundurai, March 2020

International Conference Publication 

1. Medical Document Summarization Based on Ontology Knowledge, International Conference on Recent Trends in Engineering ASM Group of Institutes, Pune, March 2009

2. A.Kogilavani, Dr.P.BalasubraManie, “Multidocument Summarization based on Feature Profile Oriented Sentence Extraction”, International Conference on Information Processing, Bangalore, August 2009

3.  A.Kogilavani, Dr.P.BalasubraManie, “Clustering Based Optimal Summary Generation Using Genetic Algorithm”, IEEE Sponsored International Conference on Communication and Computational Intelligence, Kongu Engineering College, December 2010

4. K.Ambika, A.Kogilavani, "Feature Based Semantic Summary Generation", International Conference on Computational Intelligence and Information Technology, March 2012

5. P.Vanitha, S.V.Kogilavani, “An Enhanced Spectral Based Approach for Initial and Update Summary Generation”, International Conference on Computer Communication and Informatics, Sri Shakthi Institute of Engineering and Technology, Coimbatore, January 2013

6.  P.Vanitha, S.V.Kogialvani, "A New Spectal Based Approach For Initial and Update Summary Generation", International Conference on Women in Computing, January 2013

7. P.Vanitha, A.Kogilavani, “Update Summarization Using Spectral Analysis”, Third International Conference on Computer Science & Information Technology, Academy & Industry Research Collaboration Center (AIRCC), Bangalore, February 2013

8. K.Venu, S.V.Kogilavani, “An Integrated Approach to Sentence Ordering in Multi-Document Summarization”, IEEE Sponsored International Conference on Computational Systems in Engineering and Technology, Sri Venkateswara College of Engineering, Chennai, March 2014

9. K.Venu, S.V.Kogilavani, “Context Based Approach to Sentence Ordering in Multi-Document Summarization”, International Conference on Innovations in Information, Embedded and Communication Systems, Karpagam College of Engineering, Coimbatore, March 2014

10. R.I.Sakthika, S.V.Kogilavani, “An Integration of Triple Parser with Predicate Based Approach for Search Engine Development”, IEEE Sponsored 2nd International Conference on Electronics and Communication Systems, Karpagam College of Engineering, Coimbatore, February 2015

11. R.I.Sakthika, S.V.Kogilavani, “An Integration of Predicate Parser with Supervised learning Algorithm for Search Engine Development”, DRDO Sponsored 2nd IEEE International Conference on Innovations in Information Embedded and Communication Systems, March 2015

12. Dr.S.V.Kogilavani, Ms.V.Naveena, "Semantic Based Service Recommendation using Collaborative Filtering on Mapreduce for Big Data", IEEE sponsored 3rd International Conference on Electronics and Communication Systems, Karpagam College of Engineering, Coimbatore, February 2016

13. Dr.C.S.Kanimozhiselvi, Dr.S.Malliga, Dr.S.V.Kogilavani, "Big Data Analytics for Classifying Stock Exchange Dataset using Hive and Weka", International Conference on Transformation for Business Sustainability Issues and Strategies, Kongu Engineering College, Perundurai, February 2016

14. Dr.R.Thangarajan, Dr.S.V.Kogilavani, A.kartic, S.Jawahar, " Detection of Paraphrases in Inian Languages (Tamil), CEUR Workshop Proceedings, Working Notes of FIRE 2016, Kolkata, Vol.1737, pp.282-288, December 2016

15. A Low Traceback and Zero Logging Overhead IP Traceback Approach for Communication Networks, International Conference on Intelligent Computing and Communication for Smart World, December 2018

16. Plant Disease Detection using Convolutional Neural Network, 2018 International Conference on Latest Trends in Science, Engineering and Technology (ICLTSET’18), Karpagam Institute of Technology, March 2019

    1.  Darshniya, S.Malliga, S.V.Kogilavani, “A Network Intrusion Detection System for IoT using Machine Learning and Deep Learning Approaches”, Recent Trend and challenges in Healthcare Informatics, December 2019

17. Dr.S.V.Kogilavani, Dr.S.Malliga, "Indian Native Language Identification using Keras Framework", International Conference on Emerging Trends in Engineering and Management, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, March 2020.

18. Shanthi S, Sandhiya R, Kogilavani S V,"Analysis of Social Networking Sites Addiction",  International E-Conference on Current Trends in Multidisciplinary Research organized by Indian Academicians and Researchers Association, August 2021.

19. P Santhiya, SV Kogilavani, S Malliga, "Sentiment Analysis Classifiers for Polarity Detection in Social Media Text:A Comparative Study", 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) in IEEE Explorer, December 2021,  PP.1407-1411.

20. Mallliga S, Nandhini P S, Kogilavani S V, Jaya Harini R, Jaya Shree S, Jeeva G, "Maize Leaf Disease Classification using Convolutional Neural Network", AIP Conference Proceedings, Vol:2387, 2021.

Workshops / Seminars / Symposium/ Conference/ Refresher / Orientation course / FDP/STTP attended : 56

Workshops / Seminars / Symposium/ Conference/ Refresher / Orientation course / FDP/STTP Organized:06

1. Workshop on Free and Open Source Tools

2. Workshop on Data Mining Tools and Techniques

3. Workshop on Android, PHP, MySQL, Adobe Photoshop

4. Workshop on Big Data Framework Hadoop

5. Hands-on Training on Developing IoT Applications using Raspberry Pi

6. Hands-on Training on Amazon Web Services

ResourcePerson/ Invited Talk in Seminar/Conference/Workshop: 40

Funded Projects Obtained: