Faculty

Mrs.D.Sakthipriya

 dspds@tce.edu

18

PUBLICATIONS       

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
B.Sc Computer Science Mangayarkarasi College of Arts & Science for Women 2008
MCA Computer Application Thiagarajar College of Engineering 2011
M.Phil Computer Science Madurai Kamaraj University 2017
PhD Computer Science (Full Time) Anna University

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
03-01-2012 to 20-10-2012 0.10 Assistant Professor, Department of Computer Science Lady Doak College, Madurai
15-06-2017 to 27-02-2021 4 Assistant Professor, Department of Computer Science Mangayarkarasi College of Arts and Science for Women, Madurai
19-12-2024 to 06-06-2025 0.6 Assistant Professor, Department of Computer Science Manikam Ramaswami College of Arts and Science, Madurai
16-06-2025 to Till date 0.2 Assistant Professor, Dept of AMCS (Data Science) Thiagarajar College of Engineering, Madurai

 Publications

 Journals
  1. Dhinakaran, S., & Thangavel, C. (2021). Classification of Agriculture Land Equipment Using Data Mining Techniques. Design Engineering, 15978-15987.
  2. Sakthipriya, D., & Chandrakumar, T. (2022). A study on agriculture engineering implements using machine learning. Materials Today: Proceedings. (Indexed in Scopus)
  3. Chandrakumar, 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 Indexed) (SJR:Q3)
  4. SAKTHIPRIYA, 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)
  5. SAKTHIPRIYA , 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)
  6. Chandrakumar 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)
  7. R. Elangovan, T. Chandrakumar and D. Sakthipriya, (2025). "Exploring Opportunities and Challenges of Smart Walkers for Elderly Users: A Survey," in IEEE Pervasive Computing, doi: 10.1109/MPRV.2025.3528436. (Science Citation Index) (Impact Factor:1.6)(SJR:Q2)
  8. Johnson, B., Chandrakumar, T., Sakthipriya D.,(2025).Data-driven insights into the Indian startup ecosystem: Analyzing funding trends, industry preferences, and investment patterns using big data, Journal of YMER. (713-736).
 Conferences
  1. Sakthipriya, Chandrakumar T, "CLASSIFICATION OF AGRICULTURE LAND EQUIPMENT USING DATA MINING TECHNIQUES" International Conference on Global Issues In Multidisciplinary Academic Research Organized By Indian Academicians And Researchers Association In Association WithRajabhat Maha Sarakham University, Thailand on 31st October 2021.
  2. Sakthipriya, Chandrakumar T, "A SURVEY OF MACHINE LEARNING CLUSTERING METHODS FOR THE AGRI-EQUIPMENT NEEDS AND CROP RANGE PREDICTION", INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MATHEMATICS AND COMPUTATIONAL ENGINEERING (ICRAMCE - 2022), , SSN- Chennai, 06 – 07, January 2022.
  3. Sakthipriya, Chandrakumar T, "A Study on Agricultural Engineering Machineries using Machine Learning", INTERNATIONAL CONFERENCE ON INNOVATIVE TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT SMART AND SECURE COMPUTING (ICITSD - 2022), VIT Chennai, 27-28 Jan 2022.
  4. Sakthipriya, Chandrakumar T et.al,, "A Survey-PCOS Perception analysis prediction using machine learning", 7th IEEE International Conference on recent advances and innovations in engineering (7th IEEE ICRAIE 2022), NIT-K Surathkal, 1-3 December 2022.
  5. Sakthipriya 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.
  6. Sakthipriya D; Chandrakumar T; Johnson B (2024), "Machine Learning: Driven Strategies for Enhancing Student Academic Performance," 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1-7, doi: 10.1109/ICEC59683.2024.10837265.
  7. B. Johnson, T. Chandrakumar and D. Sakthipriya (2025), "Optimizing Paddy Crop Disease Classification with MobileNetV2 Transfer Learning," 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2025, pp. 1-7, doi: 10.1109/AMATHE65477.2025.11081357.
 Books
  1. Ramanujam, E., Chandrakumar, T., & Sakthipriya, D. (2023). Investigation on Improving the Performance of Class-imbalanced Medical Health Datasets. In Machine Learning for Healthcare Systems (pp. 1-18). River Publishers. (Indexed in Web of Science)
  2. Sakthipriya, D., Chandrakumar, T., Hirthick, S., Shyam Sundar, M., & Saravana Kumar, M. (2023). Brain tumor analyses adopting a deep learning classifier based on glioma, meningioma, and pituitary parameters.
  3. Sakthipriya, D., Chandrakumar, T., Johnson, B., Prem Kumar, J. B., & Ajay Karthick, K. (2023). Analysis of preperimetric glaucoma using a deep learning classifier and CNN layer-automated perimetry.