Dr. B.Kalpana

Professor, Department of Computer Science,

School of Physical Sciences and Computational Sciences.

Contact: 9486447430

Email: kalpana_cs@avinuty.ac.in

kalpanacsekar@gmail.com

Qualification

M.Sc., M.Phil.,Ph.D.

Experience

30 years

Specialization

Data Mining , Big data Analytics, Business Intelligence, Wireless Sensor Networks

Funded Projects

  • Principal Investigator for the project titled" Collaborative Context Sensitive Information Processing Model for Target Tracking " funded by Naval research Board, DRDO . 2011-13. Sanctioned Amount 13.6 lakhs

  • Mentored the Student Project "Smart Home Automation and Personalization System using AI". 2019-20 ( DST-Curie AI)

Research Guidance

PH.D Awarded 4

Ongoing :4

1.A framework for Admissible Kernel Function in Support Vector Machines usin Levy Distribution ( R.Sangeetha, 2014)

2.A Novel Framework for Web Log Mining using Transductive SVM Classifier and Ontology based Associative Classification ( S. Chitra , 2015)

3.Improved PSO Based Classifier For Multiclass Datasets ( M. Balasaraswathi ,2018)

4. Improved Strategies For Session Identification And Frequent Pattern Generation In Web Usage Mining ( D.Kavitha, 2018)

M.Phil : 12



Research Profile

Official website - www.avinuty.ac.in/

Website - www.avinuty.ac.in/

ORCID - https://orcid.org/0000-0001-7890-8105

Scopus -

Research Gate -

Google Scholar -

LinkedIn -


AWARDED(Give numbers)

Ph.D. (4)



AWARDED

Ph.D. ()




ONGOING

Ph.D. (9)

  1. G.Suba. Prevalence of Premenstrual syndromes and effect of supplementation of iron and calcium rich health mix on the symptoms of premenstrual syndromes

  2. S.Deepa. Nutrition intervention for Lower limb injury subjects

  3. Anshi Goel. Dual nutritional and health burden on women from urban low income group families

  4. R.M Remya. Assessing nutritional status and life style pattern of the adolescent girls in Tribal areas of Kannur and Vayanadu Districts of Kerala

  5. Jyoti Krishna. Impact of Nutrition Intervention and Symtoms of Polycystic Syndrome among women of Reproductive age( 18-45 years)

  6. Anit James. Food Safety Management of Processed Fruits and Vegetables Industries of Kerala

  7. Rachael Alphonso. Lifecycle Assessment in supporting agricultural food system

  8. Babina C. Khomdram. Formation of Probiotic Powder using different drying technique and In Vivo Efficacy Study in Animal Model

  9. Archana P. Nutritional Intervention for Bone Mineral Density

M.Phil. (14)

  1. R. PadmaPriya (2001). Developing and evaluating a nutrition education package for expectant mothers,

  2. K.R. Uma (2002). Impact of supplementation of iron tablets alone and in combination with citrus juice on selected vegetarian anemic adolescent girls (13-18 years),

  3. S.Radhika (2004). Acceptability of Red Palm Oil in the selected food preparations and its effect of supplementation on nutritional status of the selected adolescent girls (13-15 years),

  4. Gayathri Sivakumar (2005). Effect of supplementation of Red Palm Oil on nutritional tatus of the selected adolescent girls (16-18 years),

  5. Haily Thomas (2007). Effect of Herbal supplementation of Ashwagandha (Withania Sominifera) on health status of the selected Gouty Arthritic Elderly

  6. K.M.Bhuvaneswari (2008). Evaluation of school meal programme in selected schools in Thondamuthur Block of Coimbatore District.

  7. S. Pakialakshmi (2008). Evaluation of ICDS in selected ICDS centers in Thondamuthur Block of Coimbatore Distric.

  8. P.Revathy (2009). Effect of supplementation on plantain flower (MUSA PARA DISIACA) incorporated iron rich health mix to selected anemic dysmenorrhoea adolescent girls

  9. Sreeja Panneerselvam (2010). Formulation and evaluation of antiobese balls and its effect on the selected obese adolescent girls.

  10. S.Ponmozhi (2013). Effect of supplementation and nutrition education on children with disabilities

  11. R.Sujitha (2013). Physicochemical and sensory characteristics of value added breakfast biscuits for preschool child

  12. R.Gnana Suronmani (2015). Knowledge on Polycystic ovarian syndrome and its management among Reproductive age women.

  13. Manu Devi (2019). Formulation and Evaluation of Value Added Snack ( Biscuits) Suitable for Bone Health


Awards and Achievements

Best Paper Award for Lattice Based Hybrid Strategies for Frequent Itemset Mining”, International Conference on Systemics, Cybernetics & Informatics (ICSCI 2007), Jan 2007. Based on Ph.D Thesis.

Certificate of Merit Award For Efficient Search Space Pruning Strategies for Mining Frequent Itemsets”, International Conference on Data Mining and Applications (ICDMA 2007), March 2007, IAENG Hong Kong, 2007 .Based on Ph.D Thesis


Memberships

  • Member IAENG, IARCS

  • Technical Programme Committee member- IAENG Conferences

Publications

EDITED BOOK

  • G.Padmavathi, B.Kalpana, I. Elizabeth Shanthi "Advanced Computing Technologies", Proceedings of the National Conference on Advanced Computing Technologies, Yesdee Publishing Pvt ltd. ISBN 978-93-80381-02-2.


BOOK CHAPTERS (2)

  1. B.Kalpana, R.Nadarajan. “Novel and Efficient Search Strategies for Constraining the Search Space in Frequent Itemset Mining”. Trends in Intelligent Systems and Computer Engineering, Oscar Castillo, Li Xu and Sio-Long Ao Eds. ISBN: 978-0-387-74934-1 Springer, April 2008, pp.284-296. Cited by 2

  2. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental Mining of Closed Frequent Item Sets Based on a Galois Lattice Framework”. Database Systems for Advanced Applications, J.R.Haritsa, R.Kotagiri, Vikram Pudi Eds. LNCS 4947, Springer – Verlag, Berlin, Heidelberg,2008 pp.486-495.

  3. S. Sumitha Pandit, B. kalpana,"Coverage using swarm intelligence family in WSN", Soft Computing for Security Applications. pp 351-363, October 2021. Springer ,ISBN-13: 978-9811653001 .


JOURNALS (33)

  1. B.Kalpana, R.Nadarajan. “Incorporating Heuristics for Efficient Search Space Pruning in FIM Strategies”, Current Science, Journal of the Indian Academy of Sciences, Bangalore. Vol. 94, ISSN: 0011-3891 .January 2008.pp.97-101.Indexed by scopus. Impact Factor . Cited by 1.

  2. B.Kalpana, R.Nadarajan, “Hybrid Search Strategies for Mining Maximal Frequent and Frequent Item sets based on a Lattice Framework”, Journal of the Computer Society of India. Vol.37, No.2, ISSN 0254-7813April-June 2007, pp.2-7.

  3. B.Kalpana, R.Nadarajan. “Optimizing Search Space Pruning in Frequent Itemset Mining with Hybrid Traversal Strategies- A Comparitive Performance on Different Data organizations”, IAENG International Journal of Computer Science, 34:1,IJCS_34_1_13,ISSN: 1819-9224(onlineversion); 1819 56X(printversion), September 2007, pp.97-104. Indexed by Directory of open Access Journals, DBLP, Scopus.

  4. B.Kalpana.“ Using Context transformations as a pre processing Step in Mining large Datasets“.International Journal of Data Mining and Warehousing. CIIT International Journals. ISSN 0974-9683. Online ISSN 0974-9578, April 2009.pp.8-10.

  5. A.B. Dhivya, B.Kalpana, ”A Study on the performance of CT- Apriori and CT- PRO Algorithms using compressed structures for pattern mining", Journal of Global Research in Computer Science, Vol 1. No2,Sept 2010 ISSN 2229-371X.pp.8-15.

  6. K. Devipriyaa, B.Kalpana, ”User’s Navigation Pattern Discovery using Ant Based Clustering and LCS Classification.”,Journal of Global Research in Computer Science, Vol 1, No 2, August 2010, ISSN 2229-371X.pp 1-5.

  7. Dr. B.Kalpana, R. Sangeetha. ”Identifying Efficient Kernel function in multiclass support vector machines”, International Journal of Computer Applications, Vol 28- no8. Pp. 18-23 . ISSN: 0975-8887. August 2011.

  8. Dr B. Kalpana, R. Sangeetha” Performance Evaluation of kernels in Multiclass support vector machines”, International Journal of Soft computing and Engineering(IJSCE) Vol-1, Issue-5, Nov 2011.

  9. R.Sangeetha, Dr. B.Kalpana.”A Novel Preprocessing Directed Acyclic Graph Technique for Session Construction.International Journal of Computer Science and Information Security, Vol 9. No 12, Dec.2011.

  10. R. Sangeetha, Dr. B.Kalpana ,A Mathematical Framework for an Admissible Kernel Function in Support Vector Machines using Levy Distribution”, International Journal of Emerging Trends in Engineering and Development. Issue 4, vol 2 March 2014. Issn. 2249-6149.pp.883-891.


  1. Dr. B.Kalpana, R. Sangeetha. ”Identifying Efficient Kernel function in multiclass support vector machines”, International Journal of Computer Applications, Vol 28- no8. Pp. 18-23 . ISSN: 0975-8887. August 2011.

  2. Dr B. Kalpana, R. Sangeetha” Performance Evaluation of kernels in Multiclass support vector machines”,International Journal of Soft computing and Engineering(IJSCE), Vol-1, Issue-5, Nov 2011.

  3. R.Sangeetha, Dr.B .Kalpana.”A Novel Preprocessing Directed Acyclic Graph Technique for Session Construction”. International Journal of Computer Science and Information Security, Vol 9. No 12, Dec.2011.

  4. S.Chitra, B.Kalpana. "Knowledge Discovery from Weblogs -A survey",Global Journal of Computer Science and Technology, Vol 11(17), Oct.2011,ISSN: 0975-4172.

  5. R. Sangeetha, Dr. B.Kalpana ”,, “A Mathematical Framework for an Admissible Kernel Function in Support Vector Machines using Levy Distribution”, International Journal of Emerging Trends in Engineering and Development. Issue 4, vol 2 March 2014. Issn. 2249-6149.pp.883-891.

  6. Dr. B.Kalpana, R.Sangeetha, “ Evaluating the performance of an admissible kernel function in Banach Space for binary data”. Int. Journal of Advanced Computer Research, vol . No. 3, Issue-12 Sept 2013 . ISSN 2277-7970

  7. R.Sangeetha, B.Kalpana. “ Improvised Admissible Kernel Function for Support Vector Machines in Banach Space for Multiclass Data., International Journal of Computers and Technology, ISSN 2277-3061. Pp. 2273-2278

  8. R. Sangeetha, B.Kalpana .” Enhanced Fuzzy Roughset based Feature Selection Strategy using Differential Evolution" ,International Journal of Computer Science and Applications, Vol2. No.6, August 2013, ISSN 2278-1080. Pp. 13-20.

  9. S.Chitra, B.Kalpana.” Identifying Interesting Visitors through Transductive Support Vector Machine Web Log Classifier.” International Review on Computers and Software,. Vol 9. No 2.Feb 2014. ISSN 1828-6003.pp 390-395.

  10. S.Chitra, B.Kalpana.” Optimum Session Interval based on Particle Swarm Optimization for Generating Personalized Ontology. “ Indian Journal of Science and Technology, Vol 7(8),ISSN 0974-5645.Pp. 1137-1143.

  11. M. Balasaraswathi, B.Kalpana.” Multiobjective Multiswarm PSO based Feature Selection in Classification.”,International Journal of Applied Engineering Research, Vol 10. No.2 (2015) ISSN 0973-4562. Pp. 4603-4618.

  12. M. Balasaraswathi, B.Kalpana.” Metaheuristics for Mining Massive Datasets: A Comprehensive Study of PSO for Classification”, Advances in Natural and Applied Sciences AENSI Journals ,Vol 9(5). May 2015, ISSN 1995-0772. Pp. 27-38.

  13. D.Kavitha., B.Kalpana, “ Dynamic Log Session Identification Using a Novel Incremental Learning Approach for Database Trace Logs.”, International Journal of Scientific and Engineering Research, Vol 6, Issue 5, May 2015. ISSN 2229-5518. Pp. 1175-1181.

  14. S. Sumitha Pandit, B.Kalpana.” Hybrid Technique for Detection of DOS attack in Wireless Sensor Network",International Journal Advanced Networking and Applications . Vol 07(2).Oct 2015 ISSN: 0975-0290Pp. 2674-2681.

  15. S. Sumitha Pandit , B.Kalpana” Efficient Machine Learning Techniques for Intrusion Detection System in WSN". International Journal of Emerging Trends in Engineering and Development. Vol. 4, Issue 5, June – july 2015. ISSN 2249-6149. Pp. 252-261.

  16. T. Nandhini, B.Kalpana. " A survey of Weblogs for effective information retrieval using data mining techniques",International Journal of Advanced Research in Computers and Communication Engineering. Vol.5(5), May 2016, ISSN: 2319-5940,Pp.243-246.

  17. T. Nandhini, M. Sajitha, B. Kalpana." A survey on IOT architecture,World Scientific News,Vol 41. Pp 149-152.ISSN: 2318-5840.

  18. E.S.Rajarajeswari, B.Kalpana. An Energy Efficient Grey Wolf Optimizer for Wireless Sensor Networks,International Journal of Computer Science and Information Security. Pp. 286-291.Vol. 14 No. 11 NOVEMBER 2016

  19. D.Kavitha, B.Kalpana., “Modified Density Based Clustering for Ranked User Preference Paterns in Web Usage Mining”,International Journal of Theoretical and Applied Science. Special Issue 10(1). ISSN(online): 2249-3247 , Feb 2018.pp.25-3.

  20. M. Balasaraswathi, B.Kalpana, "Fast and Effective Classification using Parallel and Multistart PSO, Journal of Information Technology Research, Vol 11(2).DOI. 10.4018/JITR2018040102.

  21. M. Balasaraswathi, B.Kalpana. “ Evaluating the Effectiveness of Modified PSO in Classification.”, International Journal of Theoretical and Applied Science. Special Issue 10(1). ISSN(online): 2249-3247. Feb 2018.Pp.32-35.


  22. E.S. Rajarajeswari, B.Kalpana.” A study on Energy Optimization through Bio inspired algorithms in Wireless Sensor Networks”, International Journal of Theoretical and Applied Science. Special Issue 10(1). ISSN(online): 2249-3247 . Feb 2018..pp 91-94.

  23. K.H.Rizwana, B.Kalpana. “An ontology based sentiment analysis using Protégé software”, International Journal of Theoretical and Applied Science. Special Issue 10(1). ISSN(online): 2249-3247 . Feb 2018,pp. 41-46.

  24. K.H.Rizwana, B.Kalpana . A Survey on Sentiment Analysis and Opinion Mining, International Journal of Pure and Applied Mathematics Volume 118 No. 18 Aug 2018,


CONFERENCE (28)

  1. B.Kalpana, R.Nadarajan, Arun Raghavendar. “Lattice Based Hybrid Strategies for Frequent Itemset Mining”, International Conference on Systemics, Cybernetics & Informatics (ICSCI 2007), Jan 2007. Won the Best Paper Award.

  2. B.Kalpana, R.Nadarajan, Rukaiya Moyyad. “Efficient Search Space PruningStrategies for Mining Frequent Itemsets”, International Conference on Data Mining and Applications (ICDMA2007), March 2007, IAENG Hong Kong, 2007.Won the Certificate of Merit Award.

  3. B.Kalpana, R.Nadarajan, J.Senthil Babu. “Galois Lattice Framework to Handle Updates in the Mining of Closed Itemsets in Dynamic DatabasesACM Compute 2008, Jan 18th-20th, 2008, Bangalore, India, ACM Digital library.Article16.ISBN: 978-1- 59593-950-0

  4. B.Kalpana, R.Nadarajan, J.Senthil Babu. “An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets based on a Galois Lattice Framework”, 13th International Conference on Database Systems for Advanced Applications.ISBN978-3-540-7857-5 (DASFAA 2008), 19th-21st March 2008, New Delhi.

  5. B.Kalpana, “Web Based Education - Current Scenario and Future Prospects”, NETFORUM-2001, Mahatma Gandhi Kashi Vidyapeeth, Varanasi.

  6. B.Kalpana. “Exploiting Parallelism in a Relational Database System- an analysis of Speedup, Efficiency and Scalability”. Digital Campus, Feb 23rd - 24th, 2001, Computer Society of India Cecri chapter.

  7. B.Kalpana. “IT: The Industry where Women are under represented – Strategies to encourage Women participation”, Annual Conference of Women in IT, WIT 2002, Annamalai University, Aug 29th -30th 2002.

  8. B.Kalpana. “Towards Gender Equity in Digital Era.” International Conference on Women in the Digital Era: Opportunities and Challenges-WIT 2003, 10th -12th Dec 2003.

  9. P.Anitha, B.Kalpana. “Web Mining-Applications and Open issues”, First International Conference on Data Engineering and Management, ICDEM 2008, Bishop Heber College, Trichy, Feb 2008.ISBN: 978-81-906267-0-5.

  10. P.Anitha, B.Kalpana. “Web Mining: Information and Pattern Discovery on the World Wide Web.” National Conference on Data Mining and Warehousing- NCDMW’08, Vidyasagar College of arts and Science, Udumalpet, March 2008.

  11. B.Kalpana. “ Efficient Context Transformations for Representing large Datasets”, International Conference on Advanced Computing, Bharathidasan University Technology Parks and Cauvery College, Trichy, August 6-8, 2009.ISBN10:0230-3915-1.

  12. R. Sangeetha., Dr.B.Kalpana. “A Comparative Study and Choice of an Appropriate Kernel for Support Vector Machines”, ICT 2010, Sept 7-9, 2010, Springer-Verlag Berlin, Heidelberg. ISSN 1865-0929, ISBN 3-642-15765-3.

  13. R. Sangeetha., Dr.B.Kalpana. “Optimizing the Kernel Selection for Support Vector Machines using Performance Measures”. A2CWIC 2010, Sept 16-17, 2010, ISSN 978-1-4503-0914-7, ACM Digital Library.

  14. R. Sangeetha., Dr.B.Kalpana. “Supervised Classification Techniques - A Review”, National Conference on Information and Communication Technology, NCACT-2010, Feb 2010.

  15. Dr.B.Kalpana, R. Sangeetha. “A Study on Associative Classification Mining”, National Conference on Advanced Computing Technologies, NCACT 2010, 19th Feb-2010,ISBN 978-93-80381-02-2.

  16. B. Dhivya, B. Kalpana. “Semantic Web Usage Mining by a Concept Based Approach for Off-line Web Site Enhancements”, NCACT 2010, 19th Feb-2010 ISBN 978-93-80381-02-2.

  17. K. Devi Priyaa, B.Kalpana, “A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites”, NCACT 2010, 19th Feb-2010, ISBN 978-93-80381-02-2.

  18. Dr.B.Kalpana, R.Sangeetha.”Nonlinear Principal Component Analysis Technique for Dimensionality Reduction in Large Scale Support Vector Machine Data”, International Conference on Mathematics and Computer Science, ICMCS 2011, January 2011.

  19. Dr B. Kalpana, R. Sangeetha, “Distributed Data Association for Multitarget tracking- A Mathematical Perspective." International conference on Communication Technology and system Design 2011,Procedia engineering, Science Direct, Elsevier, ISSn 00(2011)000-000.pp 1037-1044., Vol -1,Issue-5, November

  20. Dr. B.Kalpana, R. Sangeetha.”A Novel Framework for Target Tracking and Data Fusion in Wireless Sensor Networks using Kernel Based Learning Algorithm”, Second International Conference on Recent Trends in Information, Telecommunication and Computing – ITC 2011,March 2011, ISSN: 978-3-642-19541-9 (Print) 978-3-642-19542-6 (Online).

  21. R. Sangeetha., Dr.B.Kalpana.”Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks”, Third International Conference on Electronics Computer Technology - ICECT 2011, April 8-10,2011.ISBN 978-1-4244-879-9

  22. S.Chitra, Dr. B.Kalpana .”Hierarchical Directed Acyclic Graph (HDAG) Based Preprocessing Technique for Session Construction”, Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, ISBN 978-3-642-31552-7.

  23. B.Kalpana, R.Sangeetha, ”A Collaborative Target Tracking Framework Using Particle Filter”,IEEE Wireless and Mobile Networking Conference WMNC 2013,Canadian University of Dubai, ISSN 978-1-4673-5616-9.

  24. M. Balasaraswathi, B.Kalpana."Particle Swarm optimizationto Classify Multiclass Datasets",IEEE International Conference on Computing, Communications, Signal Processing(ICCCSP-2017), IEEE Explore ISBN:978-1-5090-3716-2.

  25. Suganthapriya , D.kavitha , B.Kalpana,'Web Search Customisation Approach using Redundant Web Usage Data Association and Clustering, National Conference on Advanced Computing and IT Applications.

  26. E.S . Rajarajeswari, B.Kalpana, "Energy Optimization in Wireless Sensor Networks based on Magnetotactic Bacteria Optimization Algorithm", International Conference on Communications, Computing and IOT., 2018.Pp. 313-318, ISBN: 978-1-5386-2459-3

  27. S.Sumitha Pandit, B.Kalpana. “ Techniques for Electing Cluster Head to Prolong the Network Lifetime in WSN, 5th International Conference on Computing Methodologies and Communication (ICCMC 2021),IEEE Explore ISBN: 978-0-7381-1204-6

  28. A. Roshini, B.Kalpana , “Recommendation System for Music using Machine learning TechniquesProceedings of the international Conference on Artificial Intelligence and Soft Computing- ICAISC-2021.Pp.19-35.ISBN:978-93-88929-53-0.

  29. A.Roshini, B.Kalpana, “IOT based Smart Home Automation and Personalization System”, International conference on Next Generation Computing Systems(ICGNGCS-2021), March 2021.

  30. S. Sumitha Pandit, B. Kalpana," Coverage Using Swarm Intelligence Family in Wireless Sensor Networks", International Conference on Soft Computing for Security Applications ( ICSCS 2021), June 2021.

  31. Dhanapriyadarshini, B. Kalpana, " Survey on Disease Detection in plant leaf using Data augmentation",5th International Conference on Electronics, Communication and Aerospace Technology (ICECA-2021),IEEE . Dec 2021.

Academic and other responsibilities

Organized

  • Compufest 2002

  • NAAC- 2010

  • International Conference on SMAC- Reshaping the Furture (SMAC-2018)

  • Workshop on Photoshop and Cool Edit, 2018

  • Cybroz -2013 ( Intercollegiate Fest)

Overall Convenor

  • 31st Convocation Jan 2020

  • 32nd Convocation Jan 2021.

  • Ayya Avargal's Birthday Celebration- May 2019

Committee Convener and other responsibilites

  • Annai Vizha- 2017, 2018, 2019

  • National Science Day 2019, 2018

  • Kalai Vizha - 2019,2018

  • UGC 12B Committee Visit

  • Examination Committee Member- 2013-2015

  • Computer Science Association 2012-13

  • Professional certification co-ordinator ( DEPT) 2012-2015

  • ID Card Committee Member- 2015-17

  • Chief Superintendent- Examinations -2019

Other Resposibilities-

  • Faculty Coordinator-Value Added and Cocurricular courses, Anti Ragging Committee, Website committee- Core Committee member ,Board Of Studies- Incharge for MCA syllabii Revision,

  • Services rendered to other Institutions- Board of studies Subject Expert - VLB Janakiammal College of Arts and Science.

Doctoral Committee Member - Bharathiar University, Karunya University.

Question Paper Setter - Madras University, Alagappa University.

Paper Valuation TNPSC - 2017

Conference Review Committee Member- IAENG, ICCCM ,ICGNCS 2021,

Invited Talks in the areas of Data Mining, Data Analytics and Social Media Analytics , Data Mining and Business Intelligence

  • Have been invited as session chair at

  • National conference on Innovations in Computing Methodologies- NCICM 2011, 16th Dec.2011, Dept. of Information Technology, Bharathiar University.

  • National conference on Advanced Computing and IT Applications (NCACITA '11) on Feb 18, 2011.KGISL Delivered the key note address on Data Mining and Business Intelligence.

  • Advances in Video, Cyber learning and Electronics-ADVICE 2012, NITTTR, Chandigarh, March 1-2, 2012.

Resource Person

  • Faculty Development Programme on Data mining and Warehousing at Sree Saraswathi Thiagarajar College, Pollachi, 20th Oct.2012

  • Refresher Course, Department of Computer Science, Bharathiar University, March 2019.

  • Faculty Development Programme, Web Analytic Series- AVP college of Arts and Science, Tiruppur, May 2020

  • National Webinar on " Creative Adaptations with latest IT trends" Organised by Yuvakshetra Institute of Management Studies, University of Calicut, July 2020

  • Faculty Development Programme on Big Data Analytics, Organised by Bharathidasan University College of Arts and Science, Erode, August 2020.

Visiting Professor

  • i. Data Mining and Warehousing for M.Sc ( IT). Institute of Finance Management, Dar es salaam, Tanzania- 2012

  • ii. Data Mining and Warehousing, Total Quality Management, for M.Sc (IT)Institute of Finance Management, Dar es salaam, Tanzania- 2013

Edited lessons in computer science for National Institute of Open Schooling (NIOS) , New Delhi, 2018