Faculty

B.Subbulakshmi

 bscse@tce.edu

56

PUBLICATIONS       

69

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
B.E CSE Thiagarajar College of Engineering 2000
M.E. Computer Science & Engineering Madurai Kamaraj University Thiagarajar College Of Engineering. Madurai – 15 2003
Ph.D Information and Communication Engineering / Computer Science Anna University of Technology, Madurai 2019

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
11-07-2000 to 10-02-2002 1.6 Part Time Lecturer Thiagaragar College of Engg
01-12-2009 to 02-02-2012 2.2 Assistant Professor Thiagarajar College of Engineering
07-07-2003 to 30-11-2009 6 Lecturer Thiagarajar College of Engineering
03-02-2012 to Till date 14 Assistant Professor Thiagarajar College of Engineering

 Publications

 Journals
  1. Dr B Subbulakshmi, Dr.M Nirmaladevi, Rithani , Crop Prediction and Recommendation Using Ensemble of DL Models ,Mapana - Journal of Sciences 2023, Vol. 22, Special Issue 2, 147-169, ISSN 0975-3303 UGC CARE
  2. A.M.Rajeswari , B.Subbulakshmi , M.Nirmaladevi and M.Sivakumar, "APPLICATION OF PROBABILITY BASED SURPRISING MEASURE IN OUTLIER DETECTION", , European Chemical Bulletin (ISSN 2063-5346), Volume -12, Special Issue-5 (2023 ), doi: 10.48047/ecb/2023.12.si5.174 , (Scopus indexed-Q3)
  3. B.Subbulakshmi, M.Nirmaladevi, A.M.Rajeswari and M.Sivakumar, A GRAPH-BASED APPROACH FOR PERSONALIZED JOBRECOMMENDATION, BioGecko - A Journal for New Zealand Herpetology, Vol 12 Issue 03 2023, Page No: 4474 - 4486
  4. Subbulakshmi B, Deisy C;An adaptive algorithm for frequent pattern mining over data streams using diffset strategy, International Journal of Business Information Systems, Vol. 31, No. 1, 2019.
  5. Subbulakshmi B, Deisy C; An adaptive algorithm for frequent pattern mining over data streams using diffset strategy, International Journal of Business Information Systems, Vol. 31, No. 1, 2019, Inderscience.
  6. B.Subbulakshmi, Hemavathi, " A Compressed Tree based approach for Frequent Itemsets Mining from Uncertain Data", in International Journal of Emerging Technologies in Computational and Applied Sciences, March-May 2013
  7. Mrs. B.Subbulakshmi,SK janene, MS keerthana, " Hybrid Classification for Sentiment Analysis of Movie Reviews", in International Journal of Engineering Sciences & Research Technology, Vol.7, No.4, April 2018
  8. Mrs. B.Subbulakshmi, Ms. A. Periyanayaki, Dr. C.Deisy," Survey on Frequent Pattern Mining on Data Streams", in International Journal of Engineering Research & Technology, Vol. 2, Issue 12, Dec 2013.
  9. Mrs. B.Subbulakshmi, Dr. C.Deisy, An improved incremental algorithm for mining weighted class-association rules, International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3,pp. 291-308, 2018, Inderscience.
  10. Mr. Vinoth, Mrs. B.Subbulakshmi, Mining of class association rules using a parallel approach, International Journal of Applied Engineering Research, Volume 10, Number 20 , 2015
  11. Mrs. B.Subbulakshmi, Ms. A. Periyanayaki, Dr. C.Deisy, Mining Frequent Patterns with Screening of Null Transactions Using Different Models, International Journal of Innovative Research in Science, Engineering and Technology, Volume 3, Special Issue 3, 2014
  12. B. Subbulakshmi, S.Padmavathi, Tailor-made Educational Model realizing Intended Learning Outcome to enhance competencies among Engineering graduates, Journal of Engineering Education Transformations, Special Issue Jan. 2018
 Conferences
  1. Nirmala Devi, M., Mahesh, S., Subbulakshmi, B., Rakshana Malya, A. (2026). GAE-MedBERT: Leveraging Graph Neural Networks to Optimize Chronic Disease Risk Prediction from Patient Records. Emerging Electronics and Automation, Vol1. E2A 2024 Intn con NIT Silchar 9-11 Dec 2024 , Lecture Notes in Electrical Engineering, vol 1455. Springer, Singapore. https://doi.org/10.1007/978-981-96-9554-6_39(Scopus)
  2. Nirmala Devi M; Thanusri V, Swathy K , Subbulakshmi B "Enhanced Tuberculosis Detection Using a Dual-Path Vision Model with Feature-Space Augmentation and Progressive Fine-Tuning" in 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN-2025) at NIT Goa, Dec 20-21, 2025. https://doi.org/10.1109/CICN67655.2025.11367832 (Scopus)
  3. Divya R, B Subbulakshmi, Nirmala Devi M "An Enhanced Skin Cancer Detection And Classification Using Deep Convolutional Neural Network" in 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN-2025) at NIT Goa, Dec 20-21, 2025. https://doi.org/10.1109/CICN67655.2025.11367853 (Scopus)
  4. Nirmala Devi, M., Sivakumar, M., Aravind, R., Subbulakshmi, B. (2025). Lightweight Unmanned Surface Vehicles Detection in Maritime Regions through Yolov8x with Focus and Attention Mechanisms. Intelligent Solutions for Smart Adaptation in Digital Era. InCITe 2024. Lecture Notes in Electrical Engineering, vol 1278. Springer, Singapore. https://doi.org/10.1007/978-981-97-8193-5_15(Scopus)
  5. Nirmala Devi, M., Subbulakshmi, B., Sivakumar, M., Teenu Prinica, T. (Sep 2024). Severity Levels Categorization for Detecting Diabetic Retinopathy Using YOLOv7. Intelligent Computing Systems and Applications. ICICSA 2023. Lecture Notes in Networks and Systems, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-97-5412-0_33 (Scopus)
  6. S. B, N. D. M, P. S, R. M. A, M. S and J. G. M, "Parkinson’s Disease Detection via MRI:A Machine Learning Approach with XAI Integration," 2024 5th IEEE International Conference on Data Intelligence and Cognitive Informatics (ICDICI), Tirunelveli, India, 2024, pp. 948-956, doi: 10.1109/ICDICI62993.2024.10810784. (Scopus indexed)
  7. Nirmala Devi, M., Siva Kumar, M., Subbulakshmi, B., Uma Maheswari, T., Karpagam, Vasanth Kumar, M. (2024). A Deep Learning Based Bio Fertilizer Recommendation Model Based on Chlorophyll Content for Paddy Leaves. ICCSST 2023. Communications in Computer and Information Science, vol 1973. Springer, Cham. https://doi.org/10.1007/978-3-031-50993-3_25 (Scopus)
  8. M Nirmala Devi,B Subbulakshmi,M Siva Kumar,N Swetha Adhirai, andN Theeraj Jegan, Customer Churn Prediction - An Analytical Surveyof Data Science Methods 56th Annual Convention of ORSI and 10th International Conference on Business Analytics and Intelligence., IISC Bang, 18 to 20 Dec 2023
  9. B. Subbulakshmi, M. Nirmala Devi, M. Sivakumar, V. S. A, V. S. K and K. M. T, "Efficient AI-Powered Audio-to-Text Transcription: A GUI-Enhanced Stack with EXE Build for Innovation in Communications," 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), Madurai, India, 2023, pp. 1-7, doi: 10.1109/ICEMCE57940.2023.10434163.14,15 Dec 2023,14-12-2023 to 15-12-2023
  10. Dr.M.Nirmala Devi, R.Aravind, Dr.M.Sivakumar, Dr.B.Subbulakshmi, “ UNMANNED SURFACE VEHICLES DETECTION IN SEA AREAS USING YOLOV8 ALGORITHM”, International Conference on Transforming Engineering Systems for Sustainability (TESS-2023) Organized byHindusthan College of Engineering and Technology (Autonomous), India jointly withTaylor's University, Kuala Lampur, Malaysia, 29-30, Nov , 2023
  11. Nirmala Devi , B Subbulakshmi, M Siva Kumar, T Teenu Prinica,Severity levels Categorization for detecting diabetic retinopathy using YOLOv7, presented the paper in International Conference on Intelligent Computing Systems and Applications (ICICSA 2023), organized by Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam, India September 22-23, 2023.
  12. Uma Maheswari, Karpagam ,Nirmala Devi M,B.Subbulakshmi, Vasanth kumar, "Deep learnind based Bio fertilizer Recommendation model based on Chlorophyll content for paddy leaves ICCSST - 23-INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES AND SUSTAINABLE TECHNOLOGIES- Conference conducted jointly by CHRIST Univ., Bangalore, India, and Modern College of Business and Science, Muscat, Oman 8-9 May 2023
  13. Rithani R, Dr.B.Subbulakshmi, Dr.M.Nirmala Devi, "Crop Prediction and Recommendation using an ensemble of DL models", ICCSST - 2023-INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES AND SUSTAINABLE TECHNOLOGIES- Conference conducted jointly by CHRIST (Deemed to be University), Bangalore, India, and Modern College of Business and Science, Muscat, Oman 8-9 May 2023
  14. B. Subbulakshmi, M. Nirmala Devi, J. Srimadhion Human action recognition in smart home using deep learning technique - International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), Gr. Noida, UP, India, 24 - 25 February 2023
  15. M.Nirmala Devi, B Subbulakshmi, Harsha Prada and SriSaila, “Semi-Supervised Approach with Entity Embeddings for Heart Disease Prediction ” at the Fifth International Conference on Information Systems and Management Science (ISMS 2022) organized by the faculty of ICT, University of Malta and Department of CSE, NIT Raipur, India 24 Nov 2022
  16. B.Subbulakshmi, C.Deisy , Incremental Mining of Class Association Rules using Hash based approach , International Conference on Innovative Systems (ICIS 2016) Dec 2016.
  17. Subbulakshmi, B; Surya, Prabha PM; Seetha, Lakshmi V; Analysis of user emotions and opinion using Multinomial Naive Bayes Classifier, International conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 410-415, Jun 2019, IEEE.
  18. Subbulakshmi, B; Surya, Prabha PM; Sentimental Analysis using Naive Bayes Classifier, International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), Mar 2019, IEEE.
  19. B. Subbulkshmi, Kannimalar, Harini Priya, Saranya, A machine learning approach for Personalized Job Recommendation System, International Conference on Communication and Intelligent System, NIT, Delhi, Dec 18-19, 2021.
  20. Mrs.B.Subbulakshmi, T.vijayalakshmi,Dr.C.Deisy, " Top Rank-K Frequent Itemset Mining usuing Diffnodeset:, in Research Conference on Data & Decision Science, Mar 2018
  21. Mrs.B.Subbulakshmi,Dr.C.Deisy,B.Dharani," Recent Weighted Maximal Frequent Itemsets Mining", in IEEE International Conference on I-SMAC, 10-11 Feb 2017
  22. Mrs.B.Subbulakshmi,C.Deisy, B.Dharani, M.Monisha, "An efficient algorithm for associative classification using interestingness measures" in Fourth International Conference on Business Analytics and Intelligence, 19-21,December, 2016
  23. Mrs.B.Subbulakshmi, Ms.M.Monisha, Associative Classification using Itemset Constraints for Incremental Data, National Conference on SMAC, TCE, Madurai, Dec 2015.
  24. Mrs. B.Subbulakshmi Ms.M.Monisha, Incremental Constraint Class Association Rule Mining of Student Performance Dataset, IEEE sponsored Fifth International conference on Recent Trends in Information Technology, MIT, Chennai, April 2016.
  25. Mrs. B.Subbulakshmi, Dr. C.Deisy, Ms. C. Hemavathi, An Incremental Approach for Frequent Item Sets Mining over Uncertain Databases, International Conference On Computational Intelligence, April 2014
  26. Mrs. B.Subbulakshmi, Ms. Divya, Incremental Mining for high utility patterns in large databases, Conference on recent trends in computer science and engineering ,May 2012
  27. Dr. C.Deisy, Mrs. B.Subbulakshmi, and Dr. S. Baskar, Efficient Dimensionality Reduction Approaches for Feature Selection,IEEE Conference Indian International Conference On Computational Intelligence And Multimedia Applications ,2007,Dec 2007
  28. Dr. C.Deisy, , Dr.S. Baskar, Mrs. B.Subbulakshmi, A Novel Multi Thread Based Feature Selection For Dimensionality Reduction, DBLP ISBN 978-0-9727412-2-4,Proceedings of the 3rd Indian International Conference on Artificial Intelligence, Pune, India(IICIA),1108 to1123,Dec 2007
  29. Dr. C.Deisy,Mrs. B.Subbulakshmi, Mrs. Parvathy, Correlation Based Consistency Measure Algorithm For Feature Reduction,IEEE International Advance Computing Conference,2009,March 2009
  30. Dr. C.Deisy, Ms. Gowri, Mrs.B.Subbulakshmi, Text Categorization using Support Vector machine based on Weighted Inverse Document Frequency,Conference on Advances in Information Technology and Computer Applications ,March 2008
 Books
  1. Subbulakshmi, B., Nirmala Devi, M., Rakshana Malya, A., Mahesh, S. (2026). A Comprehensive Review of Methods and Approaches for Clickbait Detection. In: Subirats, L., Gurung, S., Ningombam, D., Banerji, N. (eds) Advanced Computational and Communication Paradigms. ICACCP 2025. Lecture Notes in Networks and Systems, vol 1761. Springer, Cham. https://doi.org/10.1007/978-3-032-13555-1_18
  2. Nirmala Devi, M., Sivakumar, M., Subbulakshmi, B., Suba Sowandariya, S. (2026). Boosting-Based Prediction and Auto-Optimization Models for Irrigation Scheduling, Soil Deficiency Analysis. In: Subirats, L., Gurung, S., Ningombam, D., Banerji, N. (eds) Advanced Computational and Communication Paradigms. ICACCP 2025. Lecture Notes in Networks and Systems, vol 1761. Springer, Cham. https://doi.org/10.
  3. M Nirmala Devi, B Subbulakshmi, G Ananthi, AR Abdul Rajak, KS Sendhil Kumar, Integration of Mobile Edge Computing and Artificial Intelligence for Distributed Learning Approaches,Intelligent Mobile and IoT Ecosystems,Pages150-169,PublisherChapman and Hall/CRC 29-4-26 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003608653-9/integration-mobile-edge-computing-artificial-intelligence-distrib
  4. Graph Convolution Neural Network on Human Motion PredictionB. Subbulakshmi, M. Nirmala Devi, J. Srimadhihttps://onlinelibrary.wiley.com/doi/10.1002/9781394356362.ch7First published: 05 December 2025 https://doi.org/10.1002/9781394356362.ch7
  5. M. Nirmala Devi, B. Subbulakshmi, Book chapter on "Tutor Ward Mentoring Chatbot Incubating Social and Moral Values to the Students"Adopting Artificial Intelligence Tools in Higher Education , Taylor and Francis CRC Press,eBook ISBN9781003469315 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003469315-9/tutor-ward-mentoring-chatbot-nirmala-devi-subbulakshmi (Scopus Indexed)
  6. Nirmala Devi, M., Siva Kumar, M., Subbulakshmi, B., Uma Maheswari, T., Karpagam, Vasanth Kumar, M. (2024). A Deep Learning-Based Biofertilizer Recommendation Model Based on Chlorophyll Content for Paddy Leaves. Computational Sciences and Sustainable Technologies. Communications in Computer and Information Science, vol. 1973. Springer, Cham. https://doi.org/10.1007/978-3-031-50993-3_25 Scopus Q4
  7. Nirmala Devi M., Thangavel Murugan, R. Karthigeyan, B. Subbulakshmi , Design of a Smart Walking Stick for the Visually Impaired Using Internet of Things ,Source Title: Technologies for Sustainable Healthcare DevelopmentCopyright: © 2024 |Pages: 18ISBN13: 9798369329016|ISBN13 Softcover: 9798369366387|EISBN13: 9798369329023DOI: 10.4018/979-8-3693-2901-6.ch006 (Scopus Indexed) IGI Global
  8. An automated drug dispenser mobile application using Internet of Things (IoT) in smart healthcare systems Devi, M.N. Subbulakshmi, B. Harish, T.S. ,Vignesh, G., Niranjan, L.Technologies for Sustainable Healthcare Development, 2024, pp. 115–132 https://www.igi-global.com/chapter/an-automated-drug-dispenser-mobile-application-using-internet-of-things-iot-in-smart-healthcare-systems/352433 (Scopus)
  9. Subbulakshmi, B., Nirmala Devi, M, Sriram, Srimadhi, Arvindhan, M.,A Hybrid Machine Learning Model for House Price Prediction,Intelligent Manufacturing Systems in Industry 4.0. IPDIMS 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. (Scopus Q4)https://doi.org/10.1007/978-981-99-1665-8_35 Jul 2023
  10. B. Subbulakshmi, M. Nirmala Devi, J. Srimadhi, Human action recognition in smart home using deep learning technique .Book Artificial Intelligence, Blockchain, Computing and Security Volume 2 Edition1st Edition First Published2023 ImprintCRC Press eBook ISBN9781032684994 (Scopus Indexed
  11. M. Nirmala Devi M., Subbulakshmi B., Naga Nivedithaa G., Swathi R., Analysis of Campus Recruitment Data and Career Counseling in the Engineering Sector, Handbook of Research Data Science and Cybersecurity Innovations in Industry 4.0 Technologies https://www.igi-global.com/book/handbook-research-data-science-cybersecurity/311470,doi:10.4018/978-1-6684-8145-5,Jun 2023(Scopus Q4)
  12. Harsha Prada, M.D., Sri Saila, A.S., Subbulakshmi, B., Nirmala Devi, M,Semi Supervised Approach with Entity Embeddings for Heart Disease Prediction.,Lecture Notes in Networks and Systems, vol 671. Springer, Cham. (Scopus Q4)https://doi.org/1007/978-3-031-31153-6_44, May 2023
  13. B, Subbulakshmi; V, Seethalakshmi; Comprehensive Survey of Algorithms for Sentiment Analysis, Lecture Notes on Data Engineering and Communications Technologies (LNDECT), Vol. 38, pp. 179-186, 2020, Springer.
  14. Mrs. B.Subbulakshmi, Ms. A. Periyanayaki, Dr. C.Deisy, Frequent Itemset Mining with elimination of null transactions over data streams, Springer - Artificial Intelligence and Evolutionary Algorithms in Engineering Systems, Advances in Intelligent Systems and Computing Volume 2, 2015, pp 353-361.

 Seminar, Conference, Workshop Attended

  1. Research perspectives in Data management Schemes in Engineering Applications, Thiagarajar College of Engineering, 03.12.2018 to16.12.2018
  2. Data Analytics And Data Mining, National Institute Of Technology,Trichi, 14 -15 Mar 2008
  3. CDIO Based Curriculum Design, Thiagarajar College of Engineering, 26.08.2019
  4. The Art of Writing Winnable Project Proposals, Thiagarajar College Of Engineering, 10 th August 2019
  5. Short Term Course on Advanced Data Analytics with Python Programming, Dept. of Management Studies, IIT, Roorkee, 20.05.2019 to24.05.2019
  6. High Performance Computing for Science and Engineering, Thiagarajar College of Engineering, 04.02.2019 to 10.02.2019
  7. Completed 1)Introduction to Python,2)Programming Fundamentals using Python - Part 1 and Part 2 in Infosys Spring Board, 22-06-2022 to 22-06-2022
  8. Tamil Nadu Skill Development Corporation and Naan Muthalvan Scheme Jointly with veranda Edureka " Big Data Analytics" Faculty Training Program 16 Nov 2022, 10-09-2022 to 16-11-2022
  9. Tamil Nadu state government Five days sponsored Faculty Development Programme on "Integrated Artificial Intelligence in Data Science and its applications in Cloud., 06-03-2023 to 10-03-2023
  10. One Week National Level Faculty Development Program on Cloud Infrastructure (AWS)Organized by VELLORE INSTITUTE OF TECHNOLOGY,CHENNAI in collaboration with Brainovision Solutions India Pvt Ltd and All India Council for Technical Education (AICTE),During the period of 21st to 25th August 2023., 21-08-2023 to 25-08-2023
  11. Faculty Development Programme on R organized by Thiagarajar College of Engineering by Spoken Tutorial Project, IIT Bombay, 19-09-2023 to 25-09-2023
  12. 5-day Online FDP on the theme “Inculcating Universal Human Values in Technical Education” organized by All India Council for Technical Education (AICTE) from 6th November to 10th November 2023.
  13. 2 Days FDP on Open Source Tools for AI and Machine Learning, Oct 8th to 9th 2021, Dept. of CSE, TCE
  14. Three days Workshop on Machine Learning Techniques for Real-world Applications using Python, July 29th - 31st, 2021, Dept. of IT, TCE
  15. Online FDP on Exploring math and Artificial Intelligence Techniques for Engineering and Science Applications, June 3-5, 2021,Dept. of IT, TCE
  16. 2 week course on Digital Transformation in Teaching Learning Process, April 6th to April 22nd 2020, IIT, Bombay(TEQIP)
  17. Coursera Certification on AI for Everyone, 14.08.2020
  18. Online course on Algorithms, IIT BombayX, 26.01.21 to 28.05.21
  19. FDP on Internet of Things(IoT), National Institute of Technology Durgapur (ATAL), 05.01.21 to 09.01.21
  20. One Week Online FDP On Course Design in CDIO Curriculum, Thiagarajar College of Engineering, 27.07.2020 to 31.07.2020
  21. TEQIP sponsored 2-week course on Digital Transformation in Teaching Learning Process, IIT Bombay & TCE, 06.04.2020to 22.04.2020
  22. Course on Algorithms, IIT BombayX, 26.01.21 to 28.05.21
  23. ATAL FDP on Internet of Things(IoT), National Institute of Technology Durgapur , 05.01.21 to 09.01.21
  24. FDP on Data Science for Engineers, NPTEL, January to March 2019
  25. Product Design, Thiagarajar College Of Engineering,19.10.2019
  26. One Week STC on Deep Learning for Visual Computing, TCE, 28-01-2019 to 03-02-2019
  27. Academic Research Submit on Data Science and AI, IIT,Madras, 24-01-2019 to 25-01-2019
  28. One Week FDP on Free/Open Source Software for AI and Machine Learning, TCE, 01-10-2018 to 06-10-2018
  29. TEQIP sponsored Two day Workshop on Bid Data Analytics for Cyber Security Solutions, TCE, 18-09-2018 to 19-09-2018
  30. TEQIP sponsored Two day Workshop on Recent Trends and Research Challenges in Deep Learning, TCE, 30-08-2018 to 31-08-2018
  31. FDP on Database Management Systems, NPTEL, 01-08-2018 to 30-09-2018
  32. One Day Workshop on Outcome Based Education(OBE): National & International Accreditation , TCE, 07-01-2018 to 07-01-2018
  33. TEQIP sponsored One Day Workshop on Awareness on UG Self Assessment Report(SAR) of NBA, TCE, 13-10-2017 to 13-10-2017
  34. TEQIP sponsored one week workshop on Real Time Data Analytics, TCE, 09-03-2017 to 15-03-2017
  35. TEQIP sponsored Three days Hands-on Workshop on Artificial Intelligence Tools, TCE, 23-01-2017 to 25-01-2017
  36. GIAN course on Social Network Analysis, IIT, Hyderabad, 17-12-2016 to 23-12-2016
  37. DST-SERB sponsored Two day Workshop on Computational Intelligence for Big Data Analytics,TCE, 17-11-2016 to 18-11-2016
  38. TEQIP sponsored One Day Workshop on R software for Statistical Computing in Research, TCE, 11-11-2016 to 11-11-2016
  39. Three days Seminar on Current Research Trends in Computational Techniques in Bioinformatics, TCE, 21-09-2016 to 23-09-2016
  40. TEQIP sponsored workshop on Design of Effective Learning Environments, 01-06-2016 to 03-06-2016
  41. Two days residential workshop on Basic Counseling and Psychotherapy Skills, 16-10-2015 to 17-10-2015
  42. Two-Week ISTE STTP on Introduction to Design of Algorithms, IIT, Kharagpur, 27-04-2015 to 30-05-2015
  43. One day workshop on Formal Methods, TCE, Madurai, 05-03-2015 to 05-03-2015
  44. One Week workshop on Databases - Learning through Activity, TCE, Madurai, 23-06-2014 to 27-06-2014
  45. Two week ISTE Workshop on Pedagogy for Effective use of ICT in Engineering Education, IIT, Bombay, 12-06-2014 to 02-08-2014
  46. Three days workshop on Tools and Technologies for Cloud Computing and Big Data, TCE, Madurai, 05-05-2014 to 07-05-2014
  47. Three days FDP on .NET, TCE, Madurai, 27-01-2014 to 29-01-2014
  48. Workshop on Outcome based Education, TCE, Madurai., 22-10-2013 to 23-10-2013
  49. Workshop on New Outcome based Accreditation, TCE, Madurai, 26-09-2013 to 28-09-2013
  50. One day Workshop on Recent Trends and Research Challenges in Business Analytics and Optimization, TCE, Madurai, 13-08-2013 to 13-08-2013
  51. Workshop on Big Data Analytics, College of Engineering, Anna University, Chennai, 18-01-2013 to 20-01-2013
  52. FDP on Data Mining, TCE, Madurai, 31-07-2012 to 31-07-2012
  53. One day seminar on “Support Vector machines”NIT,Trichy, 08-06-2012 to 08-06-2012
  54. National Seminar on “Semantic Information Retrieval”NIT,Trichy, 30-01-2012 to 30-01-2012
  55. National Seminar on Symbolic Computing and Applications, TCE, Madurai, 25-11-2011 to 25-11-2011
  56. Recent Trends in Data Mining, Thiagarajar College of Engineering, Dec 9 -10, 2010
  57. Workshop on data warehousing and data mining tools, Vellore Institute of Technology, Jan 8-9, 2010
  58. Industry Academia Workshop on Professional Approach towards Software Development (using C++, VC++ and Oracle), Honeywell Technology Solutions Madurai, Participant
  59. National Conference on Information Management, Thiagarajar College of Engineering, Madurai -15., Organiser
  60. Multimedia Data Types And Formats, Thiagarajar College Of Engg, 12 - 24 Nov 2007
  61. Four Year Curricula And How To Raise The Bar Of Competency For Students, Thiagarajar College Of Engg, 30 Nov 2007
  62. Business Intelligence, Thiagarajar College Of Engg, 17 -18 Sep 2007
  63. SDLC And Project Management - Best Practices, Thiagarajar College Of Engg, 27 - 28 Jul 2007
  64. XML and Related Technologies, Thaigarajar College Of Engg, 28 - 30 Jun 2007
  65. DB2 Viper, Thiagarajar College Of Engg, 30 May 2007
  66. J2E 1.4 Api Technology In Service Oriented Computing, Thiagarjar College Of Engg, 16 -17 Feb 2006
  67. Application Of Remote Sensing & Gis In Civil Engineering, Thiagarajar College Of Engg, 23 Dec 2005
  68. Data Warehousing And Data Mining, Thiagarajar College Of Engg, 18 -19 Nov 2004
  69. Instructional Design And DeliveryThiagarajar College Of Engg International,25 - 30 Oct 2004, 30-10-2004

 Seminar, Conference, Workshop Organised

  1. 40-Hour Value-Added Course/Hands-on Training Program on Data Analytics Using Python, SQL & Generative AI Tools (Online Mode), 19-01-2026 to 01-02-2026
  2. 40 Hours value added course for 2026 CSE passed out students on “Cloud Product and Platform Engineering” in association with Wipro, 25-08-2025 to 31-10-2025
  3. one week Online FDP on Generative AI Models for Engineering Applications, 01-07-2024 to 06-07-2024
  4. Three days Faculty Development Program on Foundations of Deep Learning using Python,, 05-08-2021 to 07-08-2021
  5. Three days Hands-on Workshop on Artificial Intelligence Tools, 23-01-2017 to 25-01-2017
  6. IEEE International Conference on MOOCs,Innovation and Technology in Education (MITE 2016), 09-12-2016 to 10-12-2016
  7. Conference On Information ManagementThiagarajar College Of Engg, 28-12-2007 to 28-12-2007

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
Hands on with LLM in the one week Online FDP on Generative AI Models for Engineering Applications in CSE Department,01-07-2024 to 06-07-2024 01-07-2024 to 06-07-2024
DBMS - Query Languages A.C.Tech, Karaikudi 07-12-2018 to 07-12-2018
System Software Velammal College of Engineering, Madurai 2010
Database Normalization K.L.N College of Engineering, Madurai 2009
Multimedia Databases Thiagarajar College Of Engineering,Madurai Nov 2007
Object Oriented Programming in C++ Thiagarajar College Of Engineering. Madurai - 15 Programming Language
Database Management Systems Thiagarajar College Of Engineering. Madurai - 15 Computer Science

  Awards and Honours

  1. Faculty Conclave 2022 - Appreciation for sharing best practices in TLP, TCE
  2. Elite Certification on Data Science for Engineers, NPTEL
  3. Topper of 5% in DBMS course, NPTEL
  4. AwardedIBM Certified Database Associate DB2 Universal database V8.1, IBM
  5. IBM Certified Associative developer Web sphere Studio, IBM

 Membership

NAME OF SOCIETY DETAILS PERIOD
Computer Society of India Associative Life Member 13/07/2006