Faculty Details

Name

Dr.A.Meena Kowshalya

Earned Degree/Diploma

M.E.,Ph.D

Current Designation

Associate Professor

Department

Computer Science and Engineering

Contact Phone Number

9585502131

Email (Official Preferred)

meenakowsalya@gct.ac.in

Publications

  1. Anita, M., and A. Meena Kowshalya. "Automatic epileptic seizure detection using MSA-DCNN and LSTM techniques with EEG signals." Expert Systems with Applications ,238 (2024): 121727
  2. BS Revathi, A Meena Kowshalya, " Automatic image captioning system based on augmentation and ranking mechanism", Signal, Image and Video Processing, Springer London, 1-10, 2023.
  3. Meena Kowshalya, Ramy, Monisha, “Fake News Clasification using BERT Model”, Science , Technology and Devlopment Journal, Vol13, Issue 3, 2024.
  4. Meena kowshalya, Velmurugan,” Fault Tolerate Routing in Wireless Sensor Networks using a Gaussian Network”, International Journal for Research”, vol.11, Issue VI, 2023
  5. M Anita, AM Kowshalya, B Maheswari, A Muthuram, “An Extensive Review of Machine Learning Techniques for EEG Signal Processing”  International Conference on Automation, Computing and Renewable Systems , 2022
  6. BS Revathi, AM Kowshalya, “A review on image captioning system from artificial intelligence, machine learning and deep learning techniques”, I-Manager's Journal on Image Processing 9 (3), 2022
  7. Shanthini S,, Meena kowshalya A,” Deep Learning Based Skin Lesion Classification”, Journal of Information and Computational Science, 12(7), pp: 377 – 391, 2022.
  8. Madhumathi, R., A. Meena Kowshalya, and R. Shruthi. "Assessment of Sentiment Analysis Using Information Gain Based Feature Selection Approach." COMPUTER SYSTEMS SCIENCE AND ENGINEERING 43, no. 2 (2022): 849-860.
  9. Ramasamy, M., Meena Kowshalya, A. Information Gain Based Feature Selection for Improved Textual Sentiment Analysis. Wireless Pers Commun (2022). https://doi.org/10.1007/s11277-022-09597-y
  10. MeenaKowshalya A NivethaM,” Multicriteria based Recommender system for Enhancing Customer Centric Business”, Journal of Computer Science Engineering and Software Testing, 7(2), 2021
  11. Meenakowshalya A Asha. J,” Fake News Detection Using Unsupervised and Deep Learning Algorithms”, Journal of Computer Science Engineering and Software Testing, 7(2),pp28-37, 2021.
  12. Nivetha, M., and A. MEENA KOWSHALYA. "Customer Segmentation for Enhancing Customer Centric Business." E-Commerce for Future & Trends 8, no. 1 (2021): 17-31.
  13. John, Asha, and A. Meenakowshalya. "Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms." Journal of Mobile Computing, Communications & Mobile Networks 8, no. 1 (2021): 33-43.
  14. Lincy, M., and A. Meena Kowshalya. "Early Detection of Type-2 Diabetes Using Federated Learning." International Journal of Scientific Research in Science, Engineering and Technology, 7(6),257-267, 2020.
  15. Muthuchelvam, M., and A. Meena Kowshalya. "Modelling Networks as Neighborly Irregular Graphs." Wireless Personal Communications 115, no. 1 (2020): 391-400.
  16. Dr. A.Meena Kowshalya R Suvarna, "Credit Card Fraud Detection Using Federated Learning Techniques",International Journal of Scientific Research in Science Engineering and Technology, 7(3), 356-367.
  17. Kowshalya, A. Meena, M. Lincy, and R. Suvarna. "Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification." International Journal of Software Computing and Testing 6, no. 1 (2020): 39-51.
  18. Kowshalya, A. Meena, M. Lincy, and R. Suvarna. "Context Aware Physical Activity Recognition Using Social Objects." International Journal of Computer Science & Programming languages 6, no. 1 (2020): 41-50.
  19. Suvarna, A Meena Kowshalya. Credit card fraud detection using deep learning techniques. Journal of Web Engineering & Technology. 2020; 7 (1): 30–47.
  20. M. Lincy, A. Meena Kowshalya. Leveraging Feature Selection Algorithms for Early Detection of Type-2 Diabetes. Journal of Computer Technology & Applications. 2020; 11(1): 13–20p.
  21. Kowshalya, A. Meena, and Xiao-Zhi Gao. "Efficient service search among Social Internet of Things through construction of communities." Cyber-Physical Systems (2019): 1-16.
  22. Kowshalya, A. Meena, R. Madhumathi, and N. Gopika. "Correlation Based Feature Selection Algorithms for Varying Datasets of Different Dimensionality." Wireless Personal Communications (2019): 1-17
  23. N. Gopika, A. Meena kowshalya, Correlation Based Feature Selection Algorithm for Macmhine Learning", 3rd International Conference on Communication and Electronics Systems (ICCES), 2018.
  24. Kowshalya, A. Meena, and M. L. Valarmathi. "Dynamic trust management for secure communications in social internet of things (SIoT)." Sādhanā 43.9 (2018): 136.
  25. Kowshalya, A. Meena, and M. L. Valarmathi. "Evaluating Twitter Data to Discover User’s Perception About Social Internet of Things." Wireless Personal Communications, 2018, 1-11.
  26. Kowshalya, A. Meena, and M. L. Valarmathi. "Trust Management in the Social Internet of Things." Wireless Personal Communications 96, no. 2 (2017): 2681-2691.
  27. Kowshalya, A. Meena, and M. L. Valarmathi. "Trust management for reliable decision making among social objects in the Social Internet of Things." IET Networks 6, no. 4 (2017): 75-80.
  28. A.Meena Kowshalya and M.L. Valaramathi, “The Road Map From Wireless Sensor Networks to Internet of Things to the Social Internet of Things”, European Journal of Applied Sciences, 9, no.2, pp:170-177, 2017.
  29. Kowshalya, Meena A., and M. L. Valarmathi. "Think smart, think social! The road map from smarter objects to social objects in social internet of things: A survey." Journal of Applied Engineering Science 15, no. 2 (2017): 149-154.
  30. Kowshalya, A. Meena, and ML VALARMATHI. "Community Detection in the Social Internet of Things Based on Movement, Preference and Social Similarity." Studies in Informatics and Control 25, no. 4 (2016): 499-506.
  31. Valarmathi, M. L., A. Meenakowshalya, and A. Bharathi. "Robust Sybil attack detection mechanism for Social Networks-a survey." In Advanced Computing and Communication Systems (ICACCS), 2016 3rd International Conference on, vol. 1, pp. 1-5. IEEE, 2016.
  32. Kowshalya, Meena A., and M. L. Valarmathi. "Detection of Sybil's across communities over Social Internet of Things." Journal of Applied Engineering Science 14, no. 1 (2016): 75-83.
  33. Kowshalya, A. Meena, and M. L. Valarmathi. "Towards Trustworthy and Secure Communications in Social Internet of Things (SIoT)." Asian Journal of Information Technology 15, no. 20 (2016): 3957-3964.
  34. M.Aarthi A.Meena Kowshalya, Dr.M.L.Valarmathi, " Research Challenges in the Social Internet of Things - A survey", 3rd International Conference on Signal Processing, Communications and Networking, 2016.
  35. Kowshalya, A. Meena, S. Pradeep, V. Gautham, and Jarin Manuwel Mathew. "Content based Information Retrieval using Relevance Techniques." Digital Image Processing 4, no. 8 (2012): 409-413.
  36. MeenaKowshalya, A., and A. Sukanya. "Clustering algorithms for heterogeneous wireless sensor networks-A brief survey." International Journal of Ad Hoc, Sensor & Ubiquitous Computing 2, no. 3 (2011): 57.
  37. MeenaKowshalya, A., and Dr ML Valarmathi. "Secure and Efficient Ciphertext Policy Attribute Based Encryption without key Escrow Problem." International Journal of Emerging Engineering Research and Technology 2, no. 2: 126-130.
  38. Kowshalya, A. Meena, and M. L. Valarmathi. "Improved Network Navigability and Service Search in Social Internet of Things (SIoT)." International Journal of Research and Scientific Innovations, 2(9), 2015

 

Programmes Organized 

1. National Level Workshop on Ethical Hacking on 21.02.2014

2. TEQIP II One week Faculty Developement Programme on "Emerging Trends in Pervasive and Mobile computing" from 27.02.2017 to 05.03.2017

3. ICT Academy Sponsored IT/ITES Sector Training Programme on "Data Science, Big Data Analytics & Soft Skills" from 31.08.2017 to 13.10.2017

4. TCS Sponsored Students Workshop on "Big Data and Analytics" on 03.03.2018.

5. TEQIP II Sponsored Student Workshop on " Big Data Anaytics" on 17.09.2018.

6. TEQIP III Sponsored Workshop on "IoT & Embedded Systems" from 07.08.2019 to 08.08.2019

7. ICT Academy Sponsored IT/ITES Sector Training Programme on " Soft Skills, Big Data Analtyics, Hardare and Networking" from 02.12.2019 to  21.101.2020

8. Student Excellence & Learning Program (SELP) held under TEQIP-III 20.01.2020 to 25.01.2020

9. Student workshop & FDP on “Digital Twin” on 19.09.2019 coordinated  by TCS, Chennai along with Department Of Computer Science and Engineering & Placement Cell, GCT

10.Student workshop  on "Cyber security" on 18.08.2021 coordinated  by TCS, Chennai along with Department Of Computer Science and Engineering & Placement Cell, GCT

11. ONLINE ONE DAY STUDENT WORKSHOP ON “ARTIFICIAL INTELLIGENCE” UNDER INDUSTRY READINESS PROGRAMME on 28.01.2021 coordinated  by TCS, Chennai along with Department Of Computer Science and Engineering & Placement Cell, GCT

Sponsored Research:

1. Principal Investigator - Machine Learning Based accurate Focal Cortical Dysplasia – AICTE RPS  

2. Scientist Mentor - Deep Learning based Automatic Image Captioning systems – WOS A – DST

Awards:

  1. National Winner of the National Convention of 2nd AICTE-ECI-ISTE Vishwakarma Awards 2018
  2. Regional Winner of the National Convention of 2nd AICTE-ECI-ISTE Vishwakarma Awards 2019
  3. Finalist SIH Software Edition 2020
  4. Awarded Exceptional contribution as Primary evaluator in Toycathon 2021 by Ministry of Education, Innovation Cell, Government of India.

Guest Lectures and Key Notes given

  1. Guest Lecture on “Industrial Internet of Things” in the AICTE- ISTE sponsored INDUCTION / REFRESHER PROGRAMME (online mode) on "Digital Manufacturing" on 14.12.2021 organized by PSNA College of Engineering and Technology.
  2. Guest Lecture on “Exceptional Artificial Intelligence (XAI)” in the Five Day online FDP on “Artificial Intelligence and Deep Learning” on17.09.2021 organized by Faculty Training Center in association with Department of ECE, GCT Coimbatore,
  3. Invited Lecture on “Design, Develop online courses through MOODLE”, Jointly hosted by SPIU TN, GCT, PSG and CIT. Batch 1 – May 29-30 2020
  4. Invited Lecture on “Design, Develop online courses through MOODLE”, Jointly hosted by SPIU TN, GCT, PSG and CIT. Batch 2 : May 15-16 2020
  5. Invited talk on title “Image Captioning” in Two Weeks FDP in Research Challenges in Signal and Image Processing jointly organized by Faculty Training Centre & Dept of ECE, GCT, Coimbatore on 20.02.2020 .
  6. Invited talk on title “Collaborative Filtering” in Two Weeks FDP in Machine Learning jointly organized by Faculty Training Centre & Dept of ECE, GCT, Coimbatore on 05.03.2020
  7. Invited talk on title “Customized Machine Learning using Tensor Flow” in Two Weeks FDP in Big Data Computing jointly organized by Faculty Training Centre & Dept of IT, GCT, Coimbatore on 12.12.2019
  8. Invited Lecture on “The Social side of IoT” in One Week Faculty Development Programme on Emerging Trends in Pervasive and Mobile Computing, Department of CSE, Government College of Technology, Coimbatore, Feb 2017
  9. Invited Lecture on “Context Aware Human Activity Recognition” in One Week Faculty Development Programme on Building Context Aware Applications in IoT, Department of CSE, Government College of Technology, Coimbatore, Feb 2017
  10. Invited Lecture on “Classical Encryption” in One Week Faculty Development Programme on Cyber Security, Department of CSE, Government College of Technology, Coimbatore, March 2017

Ph.D Guidance : 06 Ongoing & 01 Completed

               

Contributions

1. Programme coordinator - B.E CSE

2. Department NBA Coordinator  

3. Department NAAC Coordinator

4.Department Time Table  incharge

5. NIRF - Nodal Officer

6. Department Coordinator - IIIC (Industry Institute Interaction Cell)

7. Internal Quality Assurance Cell member 

8. Institute Innovation Council Ambassdor, GCT.

9. Incharge of College Website Maintenance