Faculty

Dr.M.K.KavithaDevi

 mkkdit@tce.edu

70

PUBLICATIONS       

-

SPONSORED PROJECTS

1

CONSULTANCY PROJECTS

10

M.E./Ph.D. SCHOLARS

36

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
B.E. Computer Science Bharathidasan University 1994
M.E. Computer Science Madurai Kamaraj University 2004
PH.D. Information and Communication Engineering Anna University Chennai 2011

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
20-07-1994 to 30-04-1995 1 Lecturer Coimbatore Institute of Tech., Coimbatore
30-07-1996 to 22-08-1997 1 Part Time Lecturer Madurai Kamaraj University, Madurai
27-08-1997 to 30-09-2001 4 Lecturer Madura College, Madurai
01-10-2001 to 30-09-2006 5 Lecturer Thiagarajar College Of Engineering, Madurai
01-10-2006 to 23-08-2011 2 Senior Grade Lecturer Thiagarajar College of Engineering, Madurai
24-08-2011 to 02-06-2013 2 Assistant Professor Thiagarajar College of Engineering, Madurai
03-06-2013 to 11-12-2017 4 Associate Professor Thiagarajar College of Engineering
12-12-2017 to Till date 6 Professor Thiagarajar College of Engineering

 Publications

 Journals
  1. J Hemalatha, V Vivek, M Sekar, M K Kavitha Devi, Improving Rainfall Forecasting via Radial Basis Function and Deep Convolutional Neural Networks Integration", Journal of Climate Change, Vol. 9 (4), pp. 37-43, 2023
  2. M. K. Kavitha Devi, M. Sathya Thendral. Using Kolb's Experiential Learning Theory to Improve Student Learning in Theory Course. Journal of Engineering Education Transformations. Volume: 37, Issue: 1, Pages: 70-81, Year: 2023. DOI: 10.16920/jeet/2023/v37i1/23133
  3. Abinaya, S., Alphonse, A.S., Abirami, S. et al. Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder. Neural Process Lett (2023). https://doi.org/10.1007/s11063-023-11163-x
  4. G. Sharmila, M. K. Kavitha Devi: BTLA-LSDG: Blockchain-Based Triune Layered Architecture for Authenticated Subgraph Query Search in Large-Scale Dynamic Graphs. IETE Journal of Research, https://doi.org/10.1080/03772063.2023.2171910, Published online: 12 Feb 2023
  5. G. Sharmila, M. K. Kavitha Devi: Blockchain Based Consensus Algorithm and Trustworthy Evaluation of Authenticated Subgraph Queries. Comput. Syst. Sci. Eng. 45(2): 1743-1758 (2023)
  6. S. Abinaya, M. K. Kavitha Devi, A. Sherly Alphonse, "Enhancing Context-Aware Recommendation Using Hesitant Fuzzy Item Clustering by Stacked Autoencoder Based Smoothing Technique", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 30, No. 4 (2022) 595–624, © World Scientific Publishing Company, DOI: 10.1142/S0218488522500155
  7. Abinaya, S., & Devi, M. K., Enhancing top-N recommendation using stacked autoencoder in context-aware recommender system. Neural Processing Letters, 53(3), 1865-1888, 2021.
  8. Indira, K., & Kavithadevi, M. K., "Efficient machine learning model for movie recommender systems using multi-cloud environment." Mobile Networks and Applications, 24(6), 1872-1882, 2019.
  9. K. Abhirami, M. K. Kavitha Devi, "Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences", Computer Systems Science & Engineering, 40(3): 1127-1144, 2022
  10. Hemalatha.J, Kavitha Devi M.K.,"Effective image stego intrusion detection system using statistical footprints of the steganogram and fusion of classifiers", Int. J. Computer Aided Engineering and Technology, Vol. 13, No. 3, pp. 325-340, 2020
  11. Hemalatha.J, Kavitha Devi M.K., Geetha.S, “Enhancing the JPEG Image Hiding security by RSA and attaining high payload using advanced DCT Replacement method and modified quantization table" Int. J. Business Intelligence and Data Mining, Vol. 14, Nos. 1/2, pp. 138-154, 2019
  12. J. Ragaventhiran, M.K. Kavitha Devi, "Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop", Elsevier Future Generation Computer Systems, Vol. 103, pp. 111–122, 2020
  13. Maya Mohan, M.K.Kavitha Devi, v.Jeevan Prakash, ‘Confidential and efficient asset proofs for Bitcoin exchanges’, Sadhana , vol.43 No.126 pp.1-8 2018 , Springer (Annexure I, IF-0.465)
  14. Kamatchi Priya, L,Kavitha Devi, MK &Nagarajan, S 2018 'Data analytics: Feature extraction for application with small sample inclassification algorithms', International journal of Business Information Systems, vol. 26, no. 3, pp. 378-401.
  15. Hemalatha.J, Kavitha Devi M.K., Geetha.S, “Improving Image Steganalyser Performance through Curvelet Transform Denoising”. Springer – Cluster Computing, pp. 1-19, 2018
  16. Maya Mohan, M.K.Kavitha Devi, “Privacy Preserving Non-Interactive Proof of Assets for Bitcoin Exchanges”, Applied Mathematics & Information Sciences, Vol. 11, No. 3, pp.749-758, 2017
  17. S.Vairachilai, M.K.Kavitha Devi and M.Raja, "Analysis of Statistical and Structural Properties of Complex networks with Random Networks", Applied Mathematics & Information Sciences, Vol. 11, No. 1, pp.1-10, 2017
  18. Maya Mohan,M.K.Kavitha Devi,Jeevan Prakash V, "Improved Classical Ciper for Healthcare Applications", Elsevier Procedia Computer Science, Vol. 93, pp. 742-750, 2016
  19. S.Vairachilai, M.K.Kavitha Devi, M.Raja, "Alleviating the cold start problem in recommender systems based on modularity maximization community detection algorithm", Circuits and Systems, 2016
  20. Maya Mohan,M.K.Kavitha Devi,Jeevan Prakash V, "Exponential Simplification using Euler’s and Fermat’s Theorem", Elsevier Procedia Computer Science, Vol. 78, pp. 714 – 721, 2016
  21. G.Sharmila, M.K.Kavitha Devi, "A study on various indexing techniques in subgraph search ", Int. J. Applied Engineering Research, Vo. 10, No. 55, 2015
  22. L.Kamatchi Priya, M.K.Kavitha Devi, J.Illakiya, " Laplancian Fisher Clustering based Feature subset selection for semi-supervised data", Int. J. Applied Engineering Research, Vo. 10, No. 75, 2015
  23. J.Ragavendiran, M.K.Kavitha Devi, "Mining Frequent pattern in MTC environment using tree based association rule ", Int. J. Applied Engineering Research, Vo. 10, No. 55, 2015
  24. J.Hemalatha, M.K.KavithaDevi, MayaMohan, "Blind image Steganalysis of interpolation error based data hiding in stereo images", International Journal of Applied Engineering Research, Vol. 10 No.20, pp.16848-16852, 2015
  25. L.Kamatchi Priya, Dr.M.K.Kavitha Devi, Dr.S.Nagarajan, "Spending on Education Determinant of Economic Growth Using Using Structural Equation Modeling", International Journal of Applied Engineering Research, Vol. 10, No. 7, pp. 17991-18005, 2015
  26. L. Anitha, M. K. Kavitha Devi, P.Anjali Devi, "A Review on Recommender System", International Journal of Computer Applications, Vol. 82, No.3, 2013
  27. M.K.KavithaDevi, An Efficient Approach Based on Trust to Purge the Weakness of Recommender Systems, International Journal of Computer Applications, 1(25):2232, February 2010
  28. M.K.KavithaDevi, IDSS: AN INTELLIGENT DECISION SUPPORT SYSTEM FOR E-PURCHASING USING CBR AND CF, INT. Journal. AGENT-ORIENTED SOFTWARE ENGINEERING, , Pg. 212-229, Vol. 3, Nos. 2/3, 2009
  29. M.K.KavithaDevi, "Kernel based Collaborative Filtering System for E-Purchasing", Sadhana - Academy Proceedings in Engineering Science, Springer, Impact Factor: 0.276 ,Vol. 35, Part 5, pp. 513524, October 2010
  30. M.Islabudeen, M.K.Kavitha Devi, " A smart approach for intrusion detection and prevention system in mobile ad hoc networks against security attacks". Wireless Personal Communications, 112(1), 193-224, 2020.
  31. Maya Mohan, M. K. Kavitha Devi, V. Jeevan Prakash, "Security Analysis and Modification of Classical Encryption Scheme", Indian Journal of Science and Technology, Vol 8, pp. 542–548, 2015
  32. K. Indira, M.K. Kavitha Devi, "Enhanced Recommender System For Managing Sparse Data in Secured Cloud for E-Business Management", Advances in Mathematics: Scientific Journal 9, no.8, 5731-5744, 2020
  33. M K Kavitha Devi, "ICRS: AN INTELLIGENT COLLABORATIVE RECOMMENDER SYSTEM FOR ELECTRONIC PURCHASING", INT. Journal. BUSINESS EXCELLENCE, Pg. 179-193, Vol. 2, No. 2, 2009
  34. M.K.KavithaDevi, Smoothening approach to Alleivate the Meager rating problem in Collaborative Recommender Systems, Elsevier International Journal on Future Generation Computer Systems, 29 (2013), pp. 262-270
 Conferences
  1. Lithika venkateson, Kavitha Devi M K, "Parallel Convolutional Neural network for Brain Tumor using MR Images", Second International Conference on Emerging trends in Information Technology and Engineering, India, 22th-23th February 2024
  2. Madhav S ; Nandhika T M ; Kavitha Devi M K, Super Resolution of Medical Images using SRGAN", Second International Conference on Emerging trends in Information Technology and Engineering, India, 22th-23th February 2024
  3. Hariesh Ramiya Premnath Babu ; Arsha Fatima T, Kavitha Devi M K "Voice based common cold detection", Second International Conference on Emerging trends in Information Technology and Engineering, India, 22th-23th February 2024
  4. Arun Kumar M, Harsha Prada S; Caroline Dorathy Esther J; Kavitha Devk M K "Semantic Nexus: Knowledge Graph Creation from CrossNER Data using NLP," 2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech), Banur, India, 2023, pp. 175-181, doi: 10.1109/ICACCTech61146.2023.00036.
  5. Nithuna A S Nair, N Ramagomathy, M K Kavitha Devi, "Prediction of Methane Gas Emission", 56th Annual Convention of ORSI (2023-ORSI) and 10th Int. Conf. on Business Analytics and Intelligence (2023-ICBAI), IISc Bangalore, 18 - 20 December 2023
  6. S Ishvarya, Madhav S , M K Kavitha Devi, "Dental Hand Gesture Recogniser", Springer 12th International Conference on Soft Computing for Problem Solving, IIT Roorkee, 11-13 August 2023
  7. M.M. Sangeetha, M.K. Kavitha Devi, "Performance Analysis of Air Pollution Prediction using Machine Learning Algorithms", International Conference on Emerging Trends in Social, Business, and Management Science Research, India, 04-05 May 2023ISBN:978-93-92811-56-2
  8. Sabareeswaran, Pavithra, Saravanan, Kavitha Devi, "Analysis and Forecasting of Water Quality Index using Machine Learning Algorithm", Springer CCIS2nd International Conference on Next Generation Computing Systems, India, 17th-18th March 2023.
  9. Sathya Thendral M and Kavitha Devi M K, "Machine learning approach for Organic Manure Recommendation System", Proceeding in ICBAI-2021 - 8th International Conference on Business Analytics and Intelligence, December 2021
  10. Swetha Thashini S., Kavitha Devi M.K., Nivetha S., Meenakshi Aiswarya N., "Design and Development of Stylometric Based Fake News Detection onSocial Media using Natural Language Processing and Machine Learning", In Proceeding: IoTCloud'21 - ACM/CSI/IEEECS Research & Industry Symposium on IoT Cloud For Societal Applications, May 2021
  11. Abinaya S., Kavitha Devi M.K., "Trust-Based Context-Aware Collaborative Filtering Using Denoising Autoencoder", In Proceedings: ICPCSN 2021: Int. Conf on Pervasive Computing and Social Networking, 2021
  12. M. Mohan, M. K. Kavitha Devi and J. Prakash V., "Improved ElGamal Cryptosystem for Secure Data Transfer in IoT Networks," 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2020, pp. 295-302, doi: 10.1109/I-SMAC49090.2020.9243407.
  13. AN EFFICIENT INTRUSION DETECTION SYSTEM WITH BOAT CLASSIFIER TO DETECT RARE AND FREQUENT MISUSE ATTACKS IN MANET, Proceeding in International Conference on Advances in Applied Engineering and Technology, India, May 14-16, 2015
  14. A PROFICIENT INDEXING IN GRAPH DATABASES USING FEATURE - BASED METRIC APPROACH”, Proceeding in International Conference on Advances in Applied Engineering and Technology, India, May 14-16, 2015
  15. "Survey on various cryptographic standards", Proceeding on IEEE Sponsored 2nd International Conference on Innovations in Information, Embedded and Communication systems (ICIIECS), Coimbatore, Vol. 3, pp.856 - 861, 2015
  16. "Blind image Steganalysis of interpolation error based data hiding in stereo images", Proceeding on IEEE Sponsored 2nd International Conference on Innovations in Information, Embedded and Communication systems (ICIIECS), Coimbatore, Vol. 3, pp.149-153, 2015
  17. “Effective Integrated Parallel Distributed Processing Approach in Optimized Multi-cloud computing Environment”, Proceeding on Sixth International Conference on Advanced Computing (ICoAC), MIT Chennai, pp.1-10, 2014
  18. M.K.KavithaDevi, ALLEVIATING SPARSITY PROBLEM USING RADIAL BASIS FUNCTION NETWORK, IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, 6th 7th March 2009
  19. M.K.KavithaDevi, HYBRID PREDICTIVE SYSTEM USING BACKPROPAGATION, NATIONAL CONFERENCE ON INFORMATION AND SOFTWARE ENGINEERING, 13th 14th February 2009
  20. M.K.KavithaDevi, AN IMPROVED COLLABORATIVE RECOMMENDER SYSTEM, THE FIRST INTERNATIONAL CONFERENCE ON NETWORKS & COMMUNICATIONS (NETCOM-2009), 27-29 December 2009
  21. M.K.KavithaDevi, MATHEMATICAL APPROXIMATION FOR MODEL BASED RECOMMENDER SYSTEM, SIXTH INTERNATIONAL CONFERENCE ON SUPPLY CHAIN MANAGEMENT AND INFORMATION SYSTEMS, 8th 10th December 2008
  22. M.K.KavithaDevi, Hybrid Predictive System using Backpropagation, National Conference on Information and Software Engineering, Chennai, pp. 92-95, 2009
  23. M.K.KavithaDevi, An Efficient Approach for Finding Optimal Allocations in Multi-Unit Combinatorial Auction using SGA, Conference on Theory and Practice of Operational Research in Information Technology & Supply Chain Management, Madurai, pp.75-78, 2007
  24. M.K.KavithaDevi, Probabilistic neural network approach to alleviate sparsity and cold start problems in collaborative Recommender Systems, IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, pp. 245-248, 2010
  25. M.K.KavithaDevi, Kernel based Collaborative Filtering System for E-Purchasing, Sadhana - Academy Proceedings in Engineering Science, Springer, Impact Factor: 0.276, Vol. 35, Part 5, pp. 513524, October 2010
  26. A STUDY ON VARIOUS INDEXING TECHNIQUES IN SUBGRAPH SEARCH, Proceeding in International Conference on Advances in Applied Engineering and Technology, India, May 14-16, 2015
 Books
  1. J Hemalatha, V Vivek, S Mohan, R Venkatesh, MK Kavitha Devi, "The Impact of Denoising in Watermarking Robustness", Multimedia Watermarking: Latest Developments and Trends, Springer Nature Singapore, pp. 67-85, 22 Feb 2024
  2. Hemalatha J., Vivek V., Kavitha Devi M. K., Sekar Mohan. Generalization and Efficiency on Finger Print Presentation Attack Anomaly Detection. Source Title: Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era. Chapter: 23. Pages: 362 - 379. Year: 2023. DOI: 10.4018/978-1-7998-8892-5.ch023
  3. Hemalatha Jeyaprakash, KavithaDevi M. K., Geetha S., "A Comparative Review of Various Machine Learning Approaches for Improving the Performance of Stego Anomaly Detection", Source Title: Research Anthology on Machine Learning Techniques, Methods, and Applications, Copyright: © 2022 |Pages: 21DOI: 10.4018/978-1-6684-6291-1.ch052
  4. Hemalatha JeyaprakashKavithaDevi M. K.Geetha S., "A Comparative Review of Various Machine Learning Approaches for Improving the Performance of Stego Anomaly Detection", DOI: 10.4018/978-1-6684-6291-1.ch 052, In book: Research Anthology on Machine Learning Techniques, Methods, and Applications, May 2022
  5. Abinaya S., Kavitha Devi M.K. (2022) Trust-Based Context-Aware Collaborative Filtering Using Denoising Autoencoder. In: Ranganathan G., Bestak R., Palanisamy R., Rocha Á. (eds) Pervasive Computing and Social Networking. Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_4
  6. Hemalatha J., Kavitha Devi M.K., Geetha S. Performance Analysis of Image Denoising with Curvelet Transform in Detecting the Stego Noise. In: Saini H., Sayal R., Govardhan A., Buyya R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, Springer, Singapore, vol 32, pp 445 - 453, 2019. ISBN 978-981-10-8200-9 https://doi.org/10.1007/978-981-10-8201-6_50
  7. "FAQ's in Computer Science and Information Technology", Dipti Press, 2018 ISBN 978 93 86923 27 1
  8. "Fascinating Projects on C ", Dipti Press, 2017 ISBN 978 81 934040 1 0
  9. Hemalatha J., Kavitha Devi M. K., "Effective Recognition of Stereo Image Concealed Media of Interpolation Error with Difference Expansion" IGI Book Combating Security Breaches and Criminal Activity in the Digital Sphere, Chapter 10, pp.157-165, 2016
  10. K. Indira Suthakar, M. K. Kavitha Devi, "Resource Scheduling for Big Data on Cloud: Scheduling Resources" IGI Book Managing and Processing Big Data in Cloud Computing, Chapter 13, pp.185-205, 2016. ISBN13: 9781466697676|ISBN10: 1466697679|EISBN13: 9781466697683|DOI: 10.4018/978-1-4666-9767-6

 Consultancy

NAME OF INDUSTRY DETAILS PERIOD
Oracle Beta Tester for Oracle SIS 21-12-2015 to 31-12-2016

 Seminar, Conference, Workshop Attended

  1. FDP on "Applications of Blockchain Technology", organized by the Department of CSE, IEM, in association with IQAC, IEM, ACM, CSI and IEEE Students Chapter, IEM, Kolkata, West Bengal (online mode), 29-01-2024 to 02-02-2024
  2. Tamilnadu State Govt. Sponsored FDP on "Enhancing VLSI Design with Machine Learning Opportunities and Challenges” by GCT Coimbatore and TCE Madurai (online mode), 08-01-2024 to 12-01-2024
  3. FDP on R organized by TCE with course material provided by Spoken Tutorial Project, IIT Bombay, 19-09-2023 to 25-09-2023
  4. Tamil Nadu State Government sponsored Five Days FDP on "Computational Mathematics using R and MATLAB", GCT, Coimbatore in association with TCE, Madurai through Online Mode, 10.10.2022 to 14.10.2022, 10-10-2022 to 14-10-2022
  5. IBM Sponsored One Week Webinar Series on "IBM CLOUD", TCE, Madurai, 19-09-2022 to 26-09-2022
  6. Two Days FDP on Open Source Tools for AI and Machine Learning, TCE, 08-10-2021 to 09-10-2021
  7. Webinar on Designing efficient algorithms for computational biology applications, TCE, Madurai, 24-12-2020 to 24-12-2020
  8. TEQIP III Sponsored Two Days FDP on Design, Develop and Deliver online courses through MOODLE platform, 23-04-2020 to 24-04-2020
  9. Certificate Course on Effective Patent Search and Drafting - 2019, TCE, Madurai, 25-11-2019 to 29-11-2019
  10. TEQIP III Sponsored Two Days Workshop on Machine Learning Algorithms in Big Data Analytics for Engineering Applications, 11-09-2019 to 12-09-2019
  11. TEQIP III Sponsored One Week FDP on Free/Open Source Software for AI and Cyber Security, 26-08-2019 to 31-08-2019
  12. AICTE—QIP Sponsored STC on High Performance Computing for Science and Engineering, TCE, Madurai, 04-02-2019 to 10-02-2019
  13. AICTE-QIP Sponsored One Week Short Term Course on Deep Learning for Visual Computing, TCE, Madurai, 28-01-2019 to 03-02-2019
  14. TEQIP Sponsored One Day Workshop on Myths and Realities of R&D and IPR at EEIs : Issues, Challenges & Opportunities at TCE, Madurai, 13-07-2018 to 13-07-2018
  15. One Day Workshop on Outcome Based Education (OBE): National & International Accreditation on 7.1.2018, 07-01-2018 to 01-01-0001
  16. TEQIP III sponsored One day workshop on Awareness on UG Self Assessment Report (SAR) of NBA on 13.10.2017 , 13-10-2017 to 01-01-0001
  17. GIAN Workshop on “Modern applications in numeral algebra methods” at IIT Indore, 27-06-2016 to 05-07-2016
  18. One week workshop on "Database Management Systems" at IIT Bombay, 06-05-2013 to 10-05-2013
  19. DRDO Sponsored Workshop on Application of Soft Computing Techniques in Information Retrieval and Knowledge Discovery, TCE, Madurai,
  20. 1 day workshop on Recent Trends and Research Challenges in Business Intelligence, Thiagarajar College Of Engineering,
  21. 2. 2 days ISTE Workshop on Big Data Analytics , PSG, Technology, Coimbatote,
  22. 1. 2 days ISTE Workshop on Aakash for Education National Mission on Education through ICT (MHRD, Govt. of India), Thiagarajar College Of Engineering,
  23. Workshop on Wavelet and Sparse Signal Representation - Research Focus, Thiagarajar College of Engineering, 30-Sept-2011, 01-Oct-2011
  24. IBM sponsored Workshop on Service Oriented Architecture, Thiagarajar College of Engineering, 9-Sept-2011
  25. Wipro Mission 10x Faculty Empowerment Programme, Thiagarajar College of Engineering, 22-Aug-2011 to 26-Aug-2011
  26. THE FIRST INTERNATIONAL CONFERENCE ON NETWORKS AND COMMUNICATIONS (NETCOM), LE MERIDIAN, CHENNAI, 27-29 December 2009
  27. SIXTH INTERNATIONAL CONFERENCE ON SUPPLY CHAIN MANAGEMENT AND INFORMATION SYSTEMS, NIT, TRICHY, 8th 10th December 2008
  28. SHORT-TERM COURSE ON EVOLUTIONARY OPTIMIZATION ALGORITHMS, TCE, MADURAI, 19-24, November 2007
  29. ONE DAY FDP ON FOUR YEAR CURRICULA AND HOW TO RAISE THE BAR OF COMPETENCY FOR STUDENTS., TCE, MADURAI, 30th November 2007
  30. SHORT TERM COURSE ON APPLICATION OF EVOLUTIONARY COMPUTATION TO ENGINEERING OPTIMIZATION PROBLEMS, TCE, MADURAI, May-28 to June 1, 2007
  31. CONFERENCE ON THEORY AND PRACTICE OF OPERATIONAL RESEARCH IN INFORMATION TECHNOLOGY & SUPPLY CHAIN MANAGEMENT (ORITSCM 2007), TCE, MADURAI, September 6-8, 2007
  32. SHORT TERM COURSE ON REMOTE SENSING & GEOGRAPHICAL INFORMATION SYSTEMS, TCE, MADURAI, 05&06, August 2005
  33. AICTE SPONSORED NATIONAL SEMINAR ON XML & ITS APPLICATIONS, TCE, MADURAI, April 7 - 8, 2003
  34. AICTE-ISTE STTP ON INTELLIGENT INFORMATION AGENTS, PSG COLLEGE OF TECHNOLOGY, 24th October 6th November 2004
  35. Certificate Course on Programming for Everybody (Getting Started with Python), University of MICHIGAN, 15/5/2020, 01-01-0001 to 01-01-0001
  36. One day Program on Covid-19 Awareness Program, Unnat Bharat Abhiyan, TCE, Madurai, TamilNadu 1-May-2020, 01-01-0001 to 01-01-0001

 Seminar, Conference, Workshop Organised

  1. Three Days FDP on Foundations of Deep Learning Using Python, TCE, Madurai, 05-08-2021 to 07-08-2021
  2. TEQIP III Sponsored One Week FDP on AI for Engineering research, TCE, Madurai, 11-11-2019 to 15-11-2019
  3. TEQIP III Sponsored One Week Short Term Course on Machine Learning Techniques in Modern Manufacturing, 10-12-2018 to 16-12-2018
  4. AICTE Sponsored Two Weeks FDP on Context-Aware Recommender System in Cloud Environment, 20-11-2017 to 03-12-2017
  5. TEQIP Sponsored One Week Workshop on Real Time Data Analytics, 09-03-2017 to 15-03-2017
  6. "Student Special Lecture on Formal Verification and Model Checking", 24-03-2016 to 24-03-2016
  7. "Student Special Lecture on Formal Verification and Model Checking" , 18-02-2016 to 01-01-0001
  8. TEQIP II Sponsored National Conference on Research Challenges in SMAC (NCSMAC - 2016), 29-01-2016 to 30-01-2016
  9. TEQIP II Sponsored "One Day Workshop on Formal Methods" , 05-03-2015 to 05-03-2015
  10. TEQIP II & CSI SIGDATA Sponsored One Week Workshop on Databases - Learning through Activity, 23-06-2014 to 27-06-2014
  11. Two week ISTE workshop on DataBase Management Systems, Thiagarajar College of Engineering, Madurai, 21-05-2013 to 31-05-2013
  12. Intra department student seminar on Basics of Apache Hadoop, Thiagarajar College of Engineering, Madurai 625 015 , March 3rd 2012
  13. FMAST ICE - Formalisms, Methodologies, Algorithms and Solution Techniques for Information and Communication Engineering Research Problems, Thiagarajar College of Engineering, Madurai 625 015 , March 15th and 16th, 2012
  14. DST SPONSORED 2 DAYS WORKSHOP ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, THIAGARAJAR COLLEGE OF ENGG, MADURAI, 29.09.06 to 30.09.06
  15. INTER DEPARTMENTAL SEMINAR ON DESIGN AND ANALYSIS OF ALGORITHMS, THIAGARAJAR COLLEGE OF ENGG, MADURAI, 23.09.05 - 25.09.05

 M.E./Ph.D. Scholars

NAME OF SCHOLAR COURSE AREA OF RESEARCH STATUS
Dr.L.Kamatchi Priya Ph.D DESIGN AND DEVELOPMENT OF DECISION-MAKING FRAMEWORK FOR SMALL DATASET Completed
Dr.M.Islabudeen Ph.D A New Fangled Smart Approach for Intrusion Detection and Prevention System in Mobile Adhoc Networks Completed
Dr.J.Ragaventhiran Ph.D An innovative frequent pattern mining using map optimize reduce framework on hadoop Cloud Computing Ongoing
Dr.J.Hemalatha Ph.D IMPROVING BLIND IMAGE STEGANALYZER PERFORMANCE USING THIRD ORDER SPAM FEATURES AND RANDOM ROTATION FOREST ENSEMBLE MPSVM Completed
Ms.G.Sharmila Ph.D Subgraph Query Ongoing
Ms.K.Abhirami Ph.D Web Usage Mining Ongoing
Dr.Maya Mohan Ph.D Design of an integrity based ElGamal Cryptosystem for Bitcoin Exchanges Completed
Dr.S.Vairachilai Ph.D An Effective Community Detection Based Approach to Solve the Cold Start Problem in Recommender Systems Completed
Dr.K.Indira Ph.D An Efficient Machine Learning Model for Recommender System in Multi-Cloud Environment Completed
Dr. S.Abinaya Ph.D Development of Deep Learning and Hesitant Logic Based Context Aware Recommender System Completed

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
Computational Intelligence University College of Engineering, Nagercoil 11-02-2022 to 17-02-2022
Recommender Systems Thiagarajar College of Engineering 27-08-2021 to 28-08-2021
Teaching Process Bannari Amman Institute of Technology, Erode 28-02-2020 to 28-02-2020
Supervised Learning Algorithms Thiagarajar College Engineering 14-12-2018 to 14-12-2018
Supervised Learning Algorithms AICTE QIP STC on Machine Learning Techniques for Manufacturing Optimization, Dept. of Mech. Engg., TCE, Madurai 14-12-2017 to 14-12-2017
Context Aware Recommender System Thiagarajar College of Engineering, Madurai 20-11-2017 to 03-12-2017
Recent Trends in Computer Science Sri Sarada College for Women, Tirunelveli organisesState Level Intercollegiate Technical Symposium VIEWIT’16 09-09-2016 to 09-09-2016
Expert System - Applications and Research Sri Krishna College of Technology, Coimbatore organizing Two days FDP on “ARTIFICIAL INTELLIGENCE” on May 23rd and 24th, 2016 23-05-2016 to 23-05-2016
Expert Systems Sri Vidya College of Engineering & Technology, Virudhunagar 16-04-2016 to 16-04-2016
VSN Communication @ DST sponsored FDP on Advancements in Visual Sensor Network and its impact on Public Safety and Security National Engineering College, Kovilpatti 09-01-2015 to 09-01-2015
Formal Specification and Verification of Cryptographic Protocols @ CRSI sponsored Instructional Workshop on “Formal Methods in Cryptography” National Engineering College, Kovilpatti 09-01-2015 to 09-01-2015
Introduction to UML and Use Case Modeling @ AU sponsored FDP on OOAD KLNCE. Pottapalayam 15-12-2014 to 15-12-2014
Data Structures Francis Xavier College, Tirunelveli 14-07-2014 to 14-07-2014
MIPS Implementation and Building Data path @ AU sponsored FDP on Computer Architecture Thiagarajar College of Engineering, Madurai 04-07-2014 to 04-07-2014
Learning Methods in AU FDP on Artificial Intelligence Sethu Institute of Technology, Madurai 07-12-2012 to 07-12-2012
Haptic Technology National Engineering College, Kovilpatti IEEE Sponsored FDP on "Human Conputer Interaction = Ubiquitous+Pervasive+Haptic Technology"
Information Overload Thiagarajar College, Madurai UGC sponsored Intercollegiate State Level Seminar on "Data Mining and Applications"
INTRUSION DETECTION SYSTEM MADURA COLLEGE 03-03-2005 to 03-03-2005
CRYPTOGRAPHY MADURA COLLEGE 02-08-2004 to 02-08-2004

  Awards and Honours

  1. Best Computer Science Faculty, ASDF

 Membership

NAME OF SOCIETY DETAILS PERIOD
Association of Computing Machinery (ACM)
Computer Society of India

  Other Achievements

  1. AC Tech - BOS University Nominee
  2. Sri Ramakrinshna - BOS University Nominee
  3. Anna University Inspection ChairPerson
  4. Kongu Engineering College - BOS Univ Nominee
  5. PG NBA Coordinator
  6. Anna University Inspection Member