Publications

Publications

Publications – 2025–2025

S.NOTITLE
1S. Meenakshi, V. Ananthaswamy, M. Subha, M. Shruthi, & Seenith Sivasundaram. (2025). A semi-analytical study of a non-linear initial value problem for the measles disease model Mathematics in Engineering, Science and Aerospace. Scopus, SJR Ranking: Q3, ISSN: 2041-3165. https://nonlinearstudies.com/index.php/mesa/article/view/3855 (August 2025).
2S. Parthasarathy & S. Sivagurunathan. (2025). Putting Data Science and AI Ethics into Practice Journal of Hunan University (Natural Sciences). Web of Science; Scopus, SJR Ranking: Q2, Impact Factor: 0.84. (September 2025).
3S. Parthasarathy & S. Sivagurunathan. (2025). Computational Trade-offs Between Traditional Algorithms and Machine Learning Models: A Time Complexity Perspective Journal of Hunan University (Natural Sciences). Web of Science; Scopus, SJR Ranking: Q2, Impact Factor: 0.84, ISSN: 1674-2974. https://zenodo.org/records/17079436 (September 2025).
4S. Meenakshi, V. Ananthaswamy, J. Anantha Jothi, Seenith Sivasundaram, & V.K. Santhi. (2025). A semi-analytical study of the SEIR model for Hepatitis B disease in Ambon City Mathematics in Engineering, Science and Aerospace. Scopus, SJR Ranking: Q3, ISSN: 2041-3165. https://nonlinearstudies.com/index.php/mesa/article/view/3993 (November 2025).
5G. Nithyakala, Ayyappan, G. Alzabut, & J. Thandapani. (2025). New Oscillation Criteria for Third-Order Nonlinear Noncanonical Delay Difference Equations Using the Canonical Transformation Palestine Journal of Mathematics. Scopus, SJR Ranking: Q3, Impact Factor: 0.37, h-index: 10, ISSN: 2219-5688. https://openurl.ebsco.com/results?sid=ebsco:ocu:record&bquery=IS+2219-5688+AND+VI+14+AND+IP+4+AND+DT+202 (December 2025).
6D. Anitha, B. Surya Devi, S. Srimathi, & G. Nithyakala. (2026). Enhancing Engagement and Learning Outcomes in Mathematics through Collaborative Gamification: A Case Study Journal of Engineering Education Transformations. Scopus, SJR Ranking: Q2, h-index: 18, ISSN: 2394-1707. https://journaleet.in/index.php/jeet/article/view/3617 (February 2026).
7S. Srimathi & D. Anitha. (2026). Adaptive Gamification Through Learner Profiling: Integrating Player Type, Learning Style, and Cognitive Ability International Journal of Human–Computer Interaction. SCI; Web of Science; Scopus, SJR Ranking: Q1, Impact Factor: 5.5, h-index: 110, ISSN: 1044-7318. https://www.tandfonline.com/doi/abs/10.1080/10447318.2026.2636243 (March 2026).
8D. Anitha, S. Betsybha Evangeline, & Kaushikram. (2026). CPR-SAT: A Context-Aware Pictogram Recommendation System – A Speech Assistive Technology SoftwareX. SCIE; Web of Science; Scopus, SJR Ranking: Q2, Impact Factor: 2.4, h-index: 59, ISSN: 2352-7110. https://www.sciencedirect.com/science/article/pii/S2352711026001287 (April 2026).
9D. Anitha & S. Betsybha Evangeline. (2026). A Low-Resource NLP Framework for Bilingual Next-Word Prediction in Tamil in Assistive Technology International Journal of Drug Delivery Technology (IJDDT). Scopus, SJR Ranking: Q3, Impact Factor: 1.2, h-index: 21, ISSN: 0975-4415. https://ijddt.com/abstract/16/IJDDT,Vol16,Issue10s,Article111.html (April 2026).
10D. Anitha, Rajan Prakash, Jeyamala, & Baskar. (2026). A Four-Phased Project Approach for Enhancing CDIO Skills in Undergraduate Engineering Programs Journal of Engineering Education Transformations. Scopus, SJR Ranking: Q2, h-index: 18, ISSN: 2394-1707. https://journaleet.in/index.php/jeet/article/view/3666 (February 2026).
11D. Anitha, Kavitha, & Elavarasan. (2026). CIPHER: An AI-Driven Gamified Activity Model for Enhancing Learning and Engagement in Engineering Education Journal of Engineering Education Transformations. Scopus, SJR Ranking: Q2, h-index: 18, ISSN: 2394-1707. https://www.journaleet.in/index.php/jeet/article/view/3589 (February 2026).
12S. Parthasarathy & Prabin Kumar Panigrahi. (2026). From Myth to Practice: Tracing the Rise of Responsible AI Journal of Psychology and AI. ISSN: 2997-4100. https://doi.org/10.1080/29974100.2026.2662255 (May 2026).
13S. Parthasarathy, Anitha Gracy Jeyaram, Sivakumar Muthuramalingam, & Padmapriya Thiyagarajan. (2026). Customer Requirements-Based Enterprise Resource Planning Personalization Using a Federated Learning Technique PeerJ Computer Science. SCI; Scopus, SJR Ranking: Q1, ISSN: 2376-5992. https://doi.org/10.7717/peerj-cs.3750 (July 2026).
14S. Parthasarathy & Sivagurunathan S. (2026). A Simplified Ethical Data Collection Framework for Medical Image Analysis: A Lifecycle-Oriented Perspective. International Journal of Drug Delivery Technology. Scopus (to be verified), ISSN: 0975-4415. https://doi.org/10.25258/ijddt.16.27s.106 (July 2026).
15S. Parthasarathy, Anitha Gracy J., Chandrakumar T., Vaishnavi V., & Premnitin P. (2026). Software Effort Estimation Using Validated Accuracy Points for Open-Source Packaged Software. International Journal of Productivity and Quality Management. Scopus, SJR Ranking: Q3, ISSN: 1746-6474. https://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2025.150888 (January 2026).
16S.T. Padmapriya, M. Sharmila, & Kavya Shree A. (2026). Interpretable MRI Feature Learning for Differentiating Multiple Sclerosis and Brain Tumors. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE Xplore (Scopus Indexed Conference Proceedings), ISBN: 979-8-3315-4970-1. https://doi.org/10.1109/IATMSI68868.2026.11465343 (March 2026).
17S.T. Padmapriya & M. Sivakumar. (2025). Enhanced AI-Based Diagnostic Framework: Ensemble Modeling for Multi-Orientation MRI Classification of Brain Tumors and Multiple Sclerosis. Journal of Cancer Research Updates. Scopus, ISSN: 1929-2279. (2025).
18S. Parthasarathy & Sivagurunathan S. (2026). A Simplified Ethical Data Collection Framework for Medical Image Analysis: A Lifecycle-Oriented Perspective. International Journal of Drug Delivery Technology. Scopus (to be verified), ISSN: 0975-4415. https://doi.org/10.25258/ijddt.16.27s.106 (July 2026).
19S. Parthasarathy, Anitha Gracy J., Chandrakumar T., Vaishnavi V., & Premnitin P. (2026). Software Effort Estimation Using Validated Accuracy Points for Open-Source Packaged Software. International Journal of Productivity and Quality Management. Scopus, SJR Ranking: Q3, ISSN: 1746-6474. https://www.inderscienceonline.com/doi/abs/10.1504/IJPQM.2025.150888 (January 2026).
20S.T. Padmapriya, M. Sharmila, & Kavya Shree A. (2026). Interpretable MRI Feature Learning for Differentiating Multiple Sclerosis and Brain Tumors. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE Xplore (Scopus Indexed Conference Proceedings), ISBN: 979-8-3315-4970-1. https://doi.org/10.1109/IATMSI68868.2026.11465343 (March 2026).
21S.T. Padmapriya & M. Sivakumar. (2025). Enhanced AI-Based Diagnostic Framework: Ensemble Modeling for Multi-Orientation MRI Classification of Brain Tumors and Multiple Sclerosis. Journal of Cancer Research Updates. Scopus, ISSN: 1929-2279. (2025).
22Revathy, K. R., Padmapriya, S. T., & Meenakshi, D. (2026). AI-driven PCOS prediction using a neuroendocrine stress index and wearable inspired features. International Journal of Drug Delivery Technology, 16(62s), 429–442. https://doi.org/10.25258/ijddt.16.62s.50
23Meenakshi, D., Padmapriya, S. T., & Revathy, K. R. (2026). Early diagnosis of brain tumor from MRI reports using large language models with retrieval-augmented generation. International Journal of Drug Delivery Technology, 16(62s), 534–539. https://doi.org/10.25258/ijddt.16.62s.60

Publications – 2024–2025

S.NOTITLE
1Sivakumar M, Parthasarathy S, Padmapriya S. T. (2024) "A Simplified Approach for Efficiency Analysis of Machine Learning Algorithms", PeerJ Computer Science 10:e2418 http://doi.org/10.7717/peerj-cs.2418 (Impact Factor: 3.8), SJR Ranking: Q1
2Sharmila, P., Anbananthen, K. S. M., Chelliah, D., Parthasarathy, S., Balasubramaniam, B., & Lurudusamy, S. N. (2024). Transformer-Based Sequence Modeling Short Answer Assessment Framework. HighTech and Innovation Journal, 5(3), 627-639.
3Parthasarathy, S., Prabin Kumar Panigrahi*, Girish H. Subramanian** (2024), "A framework for managing ethics in data science projects", Engineering Reports Journal (Wiley) 6(3):e12722. doi: 10.1002/eng2.12722 [*IIM Indore; **Penn State Harrisburg, USA] SJR Ranking: Q2
4M Sivakumar, ST Padmapriya, "Impact of federated learning and explainable artificial intelligence for medical image diagnosis", IAES International Journal of Artificial Intelligence (IJ-AI), Volume 13, Issue 4, Pages 3772-3785.
5Sivakumar, M., Parthasarathy, S., & Padmapriya, T. (2024). Trade-off between training and testing ratio in machine learning for medical image processing. PeerJ Computer Science, 10, e2245.
6M Sivakumar, ST Padmapriya, "Transformative Tumor Substructures Segmentation From Brain Mri: Harnessing The Efficiency Of Vgg-16 And U-Net Fusion", YMER Journal, Pages 1286-1298.
7Sivakumar, M., & Padmapriya, S. T. (2024). Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques. Current Medical Imaging.
8T Padmapriya, S., Chandrakumar, T., & Kalaiselvi, T. (2024). Improving the Prediction Accuracy of MRI Brain Tumor Detection and Segmentation. International Journal of Computing and Digital Systems, 15(1), 1-10. (Scopus Indexed) (SJR:Q3)
9SAKTHIPRIYA, D., & THANGAVEL, C. (2024). Comparison of machine learning classification algorithms based on weather variables and seed characteristics for the selection of paddy seed. Journal of Agrometeorology, 26(2), 209-214.(WOS, Scopus Indexed) (SJR:Q3)
10JOHNSON, B., & CHANDRAKUMAR, T. (2024). Influence of weather parameters on rice blast disease progression in Tamil Nadu, India. Journal of Agrometeorology, 26(3), 362–366. (WOS, Scopus Indexed) (SJR:Q3)
11Chandrakumar Thangavel and D Sakthipriya,(2024). Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars. Applied Artificial Intelligence (Taylor & Francis), VOL. 38, NO. 1, e2394734 (25 pages). (Science Citation Index) (Impact Factor:3.0)(SJR:Q2)
12Johnson, B., Chandrakumar, T. (2024). Paddy Crop Disease Prediction—A Detailed Review on Image Processing Techniques. Lecture Notes in Networks and Systems, vol 1010. Springer, Singapore. (Scopus Indexed)
13SAKTHIPRIYA , D., & THANGAVEL CHANDRAKUMAR. (2024). Weather based paddy yield prediction using machine learning regression algorithms. Journal of Agrometeorology, 26(3), 344–348. (WOS, Scopus Indexed) (SJR:Q3)
14M.S.Sassirekha. (2024). The Effectiveness of Implementing Prescriptive Analytics in Addressing Student Academic Needs and Behavioral Challenges. Zenodo. https://doi.org/10.5281/ZENODO.13335466
15M.S.Sassirekha. (2024). ENHANCING STUDENT PERFORMANCE THROUGH DATA ANALYTICS PREDICTION. Zenodo. https://doi.org/10.5281/ZENODO.14271733
16Kavitha, D., & Anitha, D. (2024). TPACK based blended learning model to improve engineering graduate attributes–a case study with Kirkpatrick evaluation. Journal of Applied Research in Higher Education.
17Kavitha, D., Anitha, D., & Manoharan, P. S. (2024). Project based learning and Proctored online assessment in Lab courses to enhance CDIO Skills--A case study of Microcontroller laboratory course. Journal of Engineering Education Transformations, 37.
18Srimathi, S., & Anitha, D. (2024). A Multi Criteria Decision Making approach to integrate Gamification in Education. Journal of Engineering Education Transformations, 37.
19Anitha, D., Jeyamala, C., Abirami, A. M., & Thiruvengadam, S. (2024). Creating teaching dynamics with In-house Faculty conclaves--a longitudinal study. Journal of Engineering Education Transformations, 37.
20Increasing the effectiveness of ‘Power Electronics’ classes using a supplementary web-based virtual laboratory setup to impart CDIO skills
21Application of artificial intelligence in adaptation of gamification in education: A literature review. Computer Applications in Engineering Education, 32(1), e22683. https://doi.org/10.1002/cae.22683 (Q1, IF: 2.209)
22Ramprakash B.; B., Surya Devi; Nithyakala G.; Bhumika K.; Avanthika, S.(2024)Comparing Traditional Instructional Methods to ChatGPT: A Comprehensive Analysis.Journal of Engineering Education Transformations, 10.16920/jeet/2024/v37is2/24095 Vol 37, p612
23Nithyakala, G., Ayyappan, G., Alzabut, J. & Thandapani, E. (2024). Fourth-order nonlinear strongly non-canonical delay differential equations: new oscillation criteria via canonical transform. Mathematica Slovaca, 74(1), 115-126. https://doi.org/10.1515/ms-2024-0008
24P. Sharmila, K. S. M. Anbananthen, Nithyakala Gunasekaran, B. Balasubramaniam and D. Chelliah, "FTLM: A Fuzzy TOPSIS Language Modeling Approach for Plagiarism Severity Assessment," in IEEE Access, vol. 12, pp. 122597-122608, 2024, doi: 10.1109/ACCESS.2024.3438434. keywords: {Plagiarism;Semantics;Syntactics;Analytical models;MCDM;Vectors;Costs;Plagiarism detection;semantic analysis;natural language processing;language modelling;fuzzy TOPSIS},
25Nithyakala, G., Chatzarakis, G. E., Ayyappan, G., & Thandapani, E. (2024). Third-Order Noncanonical Neutral Delay Differential Equations: Nonexistence of Kneser Solutions via Myshkis Type Criteria. Mathematics, 12(18), 2847. https://doi.org/10.3390/math12182847
26Dhakshina Moorthy, A., Kavitha, D., Logeshwaran, R., Vishnu Kumar, N. V., & Karthick, V. (2025). PSFAS: Progressive Student Feedback Analysis System for improved teaching learning with intelligent processing of open-responses. Journal of Applied Research in Higher Education.
27Nithyakala, G., Ayyappan, G., Alzabut, J. & Thandapani, E. (2025), New Oscillation Criteria for Third-Order Nonlinear Noncanonical Delay Difference Equations using thr Canonical Transformations, Volume 14(1)(2025). 
28Sivakumar M, Parthasarathy S, Padmapriya S. T. (2024) "A Simplified Approach for Efficiency Analysis of Machine Learning Algorithms", PeerJ Computer Science 10:e2418 http://doi.org/10.7717/peerj-cs.2418 (Impact Factor: 3.8), SJR Ranking: Q1
29Sharmila, P., Anbananthen, K. S. M., Chelliah, D., Parthasarathy, S., Balasubramaniam, B., & Lurudusamy, S. N. (2024). Transformer-Based Sequence Modeling Short Answer Assessment Framework. HighTech and Innovation Journal, 5(3), 627-639.

Publications – 2023–2024

S.NoTITLE
1Parthasarathy, S., & Padmapriya, S. T. (2023). Understanding algorithm bias in artificial intelligence-enabled ERP software customization. Journal of Ethics in Entrepreneurship and Technology. UGC Care.
2Parthasarathy, S., Panigrahi, P. K., & Subramanian, G. H. (2023). A framework for managing ethics in data science projects. Engineering Reports, e12722. WoS, Q2.
3Sharmila, P., Deisy, C., & Parthasarathy, S. (2023). Ext-ICAS: A novel self-normalized extractive intra cosine attention similarity summarization. Computer Systems Science and Engineering, 45(1), 377–393. WoS-SCI, Q2.
4Chandrakumar, T., & Sakthipriya, D. (2023). A Study on Usage of Agricultural Engineering Equipment for Various Crops and Yields in South Tamilnadu. International Journal of Social Ecology and Sustainable Development (IJSESD), 14(1), 1–15. Scopus, Q3.
5Padmapriya, S. T., & Parthasarathy, S. (2023). Ethical Data Collection for Medical Image Analysis: a Structured Approach. Asian Bioethics Review, 1–14. WoS, Q1.
6Subbulakshmi, B., Deisy, C., & Parthasarathy, S. (2023). A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules. International Journal of Information Retrieval Research (IJIRR), 13(1), 1–21. WoS, Q3.
7Padmapriya, S. T., Chandrakumar, T., & Kalaiselvi, T. (2024). Improving the Prediction Accuracy of MRI Brain Tumor Detection and Segmentation. International Journal of Computing and Digital Systems, 15(1), 1–10. Scopus, Q3.
8Ramprakash, B., Surya Devi, B., Nithyakala, G., Bhumika, K., & Avanthika, S. (2024). Comparing Traditional Instructional Methods to ChatGPT: A Comprehensive Analysis. Journal of Engineering Education Transformations, 37(Special Issue 2), 612–620. Scopus, Q4.
9Johnson, B., & Chandrakumar, T. (2023). A Comprehensive Review of Nutrient Deficiencies in Different Growth Stages of Paddy Crop. International Journal of Computing and Digital Systems, 14(1), 10111–10126. Scopus, Q3.
10Anitha, D., Jeyamala, C., Abirami, A. M., & Thiruvengadam, S. J. (2024). Creating teaching dynamics with In-house Faculty conclaves – A longitudinal study. Journal of Engineering Education Transformations, 37(Special Issue 2), 288–294. Scopus, Q4.
11Kavitha, D., Kumar, M., Mu, S., & Anitha, D. (2024). Increasing the effectiveness of ‘Power Electronics’ classes using a supplementary web-based virtual laboratory setup to impart CDIO skills. Journal of Engineering Education Transformations, 37(Special Issue 2), 1–7. Scopus, Q4.
12Srimathi, S., & Anitha, D. (2024). A Multi Criteria Decision Making approach to integrate Gamification in Education. Journal of Engineering Education Transformations, 37(Special Issue 2), 262–270. Scopus, Q4.
13Kavitha, D., Anitha, D., & Manoharan, P. S. (2024). Project-based learning and Proctored online assessment in Lab courses to enhance CDIO Skills – A case study of Microcontroller laboratory course. Journal of Engineering Education Transformations, 37(Special Issue 2), 98–104. Scopus, Q3.

Publications –2022–2023

S.NoTITLE
1Sivagurunathan, S., & Parthasarathy, S. (2022). A Framework for a Seamless Transformation to Online Education. Computers, 11(12), 183. WoS.
2Sharmila, P., Anbananthen, K. S. M., Chelliah, D., Parthasarathy, S., & Kannan, S. (2022). PDHS: Pattern-Based Deep Hate Speech Detection With Improved Tweet Representation. IEEE Access, 10, 105366–105376. WoS, Q1.
3Chandrakumar, T., Parthasarathy, S., Sridevi, S., & Ramya, T. (2022). Consumer's perception of digital transactions in India: sentiment analysis using R. International Journal of Business Information Systems, 41(2), 193–206. Scopus, Q2.
4Saraswathi, S., Deepa, G., Vennila, G., Parthasarathy, S., & Ramadoss, B. (2022). A Survey on Big Data: Infrastructure, Analytics, Visualization and Applications. International Journal of Industrial Engineering, 29(5). WoS, Q3.
5Parthasarathy, S., Sivagurunathan, S., & Subramanian, G. H. (2022). What Should a Startup Know About Software Customization? International Journal of Information Technology Project Management, 13(1), 1–13. WoS, Q3.
6Subbulakshmi, B., Deisy, C., & Parthasarathy, S. (2023). A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules. International Journal of Information Retrieval Research, 13(1), 1–21. WoS.
7Padmapriya, S. T., & Parthasarathy, S. (2023). Ethical Data Collection for Medical Image Analysis: a Structured Approach. Asian Bioethics Review, 1–14. WoS, Q1.
8Anitha, D., Kavitha, D., Jeyamala, C., & Sharmila, P. (2023). Lessons from a Blended Learning Implementation – What to do and what not to do? Journal of Engineering Education Transformations, 36(Special Issue 2). Scopus, Q3.
9Kavitha, D., & Anitha, D. (2023). Virtual Lab Integrated Flipped Class for Effective Implementation of CDIO Framework in a Theory Course – A Case Study. Journal of Engineering Education Transformations, 36(Special Issue 2). Scopus, Q3.

Publications –2021–2022

S.NoTITLE
1Parthasarathy, S., & Daneva, M. (2021). A Requirements Engineering Framework for Software Startup Companies. Journal of Database Management (JDM), 32(3), 69–94. WoS, Q2.
2Sridevi, S., Parthasarathy, S., Chandrakumar, T., & Rajaram, S. (2021). A Novel Framework for Forecasting Time Series Data Based on Fuzzy Logic and Variants of Hidden Markov Model. International Journal of Business Intelligence and Data Mining, 19(3), 304–318. Scopus, Q3.
3Parthasarathy, S. (2022). A Decision Framework for Software Startups to Succeed in COVID-19 Environment. Decision Analytics Journal, 3, 100037. Scopus.
4Thangavel, C., Thangavel, R., Ramanujam, E., Bennet, D. T., & Bennet, P. S. (2022). Consumer Perception of Internet Banking and Mobile Banking Using Twitter Analytics. International Journal of Sociotechnology and Knowledge Development (IJSKD), 14(1), 1–14. Scopus, Q3.
5Parthasarathy, S., & Kar, A. K. (2022). Implementing Cognitive Automation for Employee Management in Ganitec University of Science and Technology. Journal of Information Technology Teaching Cases, 12(1), 16–22. Scopus, Q2.
6Sridharan, C., & Parthasarathy, S. (2022). A Simplified Alternate Approach to Estimate Software Size of Startups. International Arab Journal of Information Technology, 19(4), 674–680. WoS, Q3.

Publications –2020–2021

S.NoTITLE
1Parthasarathy, S., Sridharan, C., Chandrakumar, T., & Sridevi, S. (2020). Quality Assessment of Standard and Customized COTS Products. International Journal of Information Technology Project Management, 11(3), 1–13. WoS, Q3.
2Parthasarathy, S., & Chandrakumar, T. (2021). Is It Time to Rethink Our Software Development Practices? Journal of Cases on Information Technology, 23(4), 1–10. WoS, Q3.
3Sridharan, C., & Parthasarathy, S. (2021). Software Productivity-Based Performance Assessment of Projects of Startups. International Journal of Business Information Systems, 38(1), 129–144. Scopus, Q2.
4Anitha, D. M., & Kavitha, D. M. (2020). Online Coding Event as a Formative Assessment Tool in Introductory Programming and Algorithmic Courses – An Exploration Study. Computer Applications in Engineering Education, 28(6), 1580–1590. WoS, Q1.
5Anitha, D., & Kavitha, D. (2021). Is Long-Serving Teaching Experience a Barrier of Transformation in Online Teaching? – An Exploration. Journal of Engineering Education Transformations, 34, 201–205. Scopus, Q3.
6Kavitha, D., & Anitha, D. (2021). Measuring the Effectiveness of Individual Assessment Methods in Collaborative/Cooperative Activity in Online Teaching. Journal of Engineering Education Transformations, 34, 637–641. Scopus, Q3.
7Surya Devi, B., Muthukumaran, K., Thangaraju, P., & Gopi, S. (2020). On Class Q*, Quasi N Class Q* and K Quasi Class Q* Weighted Composition Operator on L2(mu). International Journal of Advanced Research in Engineering and Technology, 11(8), 992–1003. Scopus.
8Surya Devi, B., Muthukumaran, K., Thangaraju, P., & Gopi, S. (2020). On Class of K-Quasi Normal, K Quasi-(N,M) Power Normal, [K-N]*-Quasi-N-Normal Weighted Composition Operator on L2(mu). International Journal of Advanced Research in Engineering and Technology, 11(12), 3539–3546. Scopus, UGC-Care.
9Chandrasekaran, J., Anitha, D., & Thiruchadai Pandeeswari (2021). Enhancing Student Learning and Engagement in the Course on Computer Networks. Journal of Engineering Education Transformations, 34, 454–463. Scopus, Q3.
10Thiruvengadam, S. J., Baskar, S., Perumaal, S. S., Jeyamala, C., Anitha, D., & Prakash, R. R. (2021). Analysis of In-House Training Workshops for Enhancing Faculty Competence in CDIO Implementation – A Case Study. Journal of Engineering Education Transformations, 34, 615–619. Scopus, Q3.

Publications –2019–2020

S.NoTITLE
1Devika, G., & Parthasarathy, S. (2019). Optimised Transformation Model for Contrast Enhancement of Satellite Images Using Modified Whale Optimisation. International Journal of Image and Data Fusion, 10(2), 131–145. WoS, Q2.
2Anitha, D. M., & Kavitha, D. M. (2020). Online Coding Event as a Formative Assessment Tool in Introductory Programming and Algorithmic Courses – An Exploration Study. Computer Applications in Engineering Education, 28(6), 1580–1590. WoS, Q1.
3Anitha, D., Kavitha, D., Prakash, R. R., & Raja, S. C. (2020). Identification of Opinion Difference in Teaching Learning Methods and Recommendation to Faculty. Journal of Engineering Education Transformations, 33(Special Issue), 421–424. Scopus, Q3.
4Senthil, Nithya, Suryadevi, & David Chandrakumar. (2019). (Alpha, Beta)-Normal and Skew n-Normal Composite Multiplication Operator on Hilbert Spaces. International Journal of Discrete Mathematics, 4(1), 45–51. UGC Care.

CONFERENCE PUBLICATIONS

2025-2026

S.NoTitle
1D. Sakthipriya, Thangavel Chandrakumar, S. Srimathy, & R. Rajkumar. (2025, October). Optimizing Agricultural Decision-Making: Leveraging SMOTE and Machine Learning for Balanced Data Insight. In 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM) (pp. 1–9). IEEE. IEEE Conference Proceedings, Scopus Indexed.https://ieeexplore.ieee.org/abstract/document/11307643 (October 2025)
2Padmapriya, S. T., & Sharmila, M. (2026, March). Interpretable MRI Feature Learning for Differentiating Multiple Sclerosis and Brain Tumors ∗. In 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (Vol. 4, pp. 1-6). IEEE.
3Padmapriya, S. T., Sharmila, M., Kavya Shree, A., & Premkumar, J. B. (2025, March). Explainable Deep Learning Models for Clinical Decision Support in Diabetic Retinopathy Detection. In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (Vol. 3, pp. 1-6). IEEE.

2023-2024

S.NoTitle
1Sakthipriya Dhinakaran, Chandrakumar Thangavel, Johnson B and Prem Kumar J B, "A Survey - Soil Feature Analysis Using Clustering Techniques and Predict Various Crops In Madurai District", IEEE 1st International Conference on Advanced Innovations in Smart Cities (ICAISC 2023), Jeddah Saudi Arabia, Jan 23- 25, 2023
2S. Betsybha Evangeline; Anitha Dhakshina Moorthy, Investigating AI Applications in Communication Tools for Individuals with Speech Impairments: An In-depth Analysis, 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) DOI: 10.1109/IATMSI60426.2024, 14-16 March 2024
3A M Abirami | Wei Qi Leong | Hamsawardhini Rengarajan | D Anitha | R Suganya | Himanshu Singh | Kengatharaiyer Sarveswaran | William Chandra Tjhi | Rajiv RatnShah Proceedings of the 7th Workshop on Indian Language,Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language, May 2024
4Padmapriya, S. T., & Devi, M. G. (2024, 7March). Computer-Aided Diagnostic System for Brain Tumor Classification using Explainable AI. In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (Vol. 2, pp. 1-6). IEEE.


 

2022-2023

S.NoTitle
1Chandrakumar T et.al (2023), "Paddy Yield Forecasting Using Regression Techniques", 2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON), Chitkara University, Feb 24-26, 2023
2Sudhaman Parthasarathy and Subramanian, Girish H. "A Research Study Proposed to Examine the Effect of Software Customization on Software Startup Projects", 2022 Northeast Decision Sciences Conference, Newark, NJ, April 7-9, 2022.


 

2019 - 2020

S.NoTitle
1Ramanujam, E., Chandrakumar, T., Nandhana, K., & Laaxmi, N. T. (2020). Prediction of fetal distress using linear and non-linear features of CTG signals. In Computational Vision and Bio-Inspired Computing: ICCVBIC 2019 (pp. 40-47). Springer International Publishing.