Dr. Durgadevi Velusamy completed her PhD in Anna University, Chennai, India, in 2019 on the research topic “Development of Probabilistic based Evolutionary Fuzzy System for Trusted Routing in Smart Grid Communication Network”. Her research interest includes security, computational intelligence, and data analytics. She has a work experience of 13 years of teaching and 5 years of research. She is a member of professional societies like the Institute of Electrical and Electronics Engineers (IEEE), the Computer Society of India (CSI), and the Indian Society for Technical Education (ISTE).

Publications

International Journals: 16, Conferences: 7, Book chapter: 1

1. Kiruthika Balakrishnan, Durgadevi Velusamy, Karthikeyan Ramasamy, Hana E. Hinkle, Holly J. Hudson; Ram Bilas Pachori, Hikmat Khan, “Artificial Intelligence Approaches for Non-Invasive Diabetes Prediction Using ECG Signals: A Systematic Review”, Computer Methods and Programs in Biomedicine, 2026.
2. Chockalingam Alagappan, Karthikeyan Ramasamy, and Durgadevi Velusamy, Bagging ensemble of artificial neural networks with weighted averaging and grey wolf optimization for solar photovoltaic power generation prediction, International Journal of Green Energy, Taylor and Francis, pp.1–15, 2025.
3. Kiruthika Balakrishnan, Durgadevi Velusamy, Karthikeyan Ramasamy, Lisiane Pruinelli, “ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks”, Biomedical Engineering Advances, vol.9, 2025.
4. Yuvaraj Mariappan, Karthikeyan Ramasamy, and Durgadevi Velusamy, An optimized deep learning based hybrid model for prediction of daily average global solar irradiance using CNN SLSTM architecture. Sci Rep15, 10761, 2025.
5. Arivoli Sundaramurthy, Karthikeyan Ramasamy, Durgadevi Velusamy and Chitra Vaithiyalingam, Enhancing Smart Grid Stability: Data-Driven Predictive Modeling in Distribution Systems International Journal of Electrical and Electronics Research, vol.12, no.2, 623-631, 2024.
6. Somasundaram Palaniappan, Sundararaju Karuppannan, Durgadevi Velusamy, Categorization of Indian residential consumers electrical energy consumption pattern using clustering and classification techniques, Energy, vol. 289, pp.1 -14, 2024.
7. Karthikeyan Ramasamy, Kiruthika Balakrishnan, Durgadevi Velusamy, “Classification of inter-patient’s cardiac arrhythmias in ECG signals with enhanced Jaya optimized TQWT parameters and stacked ensemble algorithm”, Soft Computing, vol. 27, pp. 11341 – 11356, 2023.
8. Karthikeyan Ramasamy, Arivoli Sundaramurthy, and Durgadevi Velusamy, Assessment and classification of grid stability with cost-sensitive stacked ensemble classifier, Automatika, vol. 64, no.4, pp. 783-797, 2023.
9. Karthikeyan Ramasamy, Kiruthika Balakrishnan, Durgadevi Velusamy, “Detection of cardiac arrhythmias from ECG signals using FBSE and Jaya optimized ensemble random subspace K-nearest neighbor algorithm”, in Biomedical Signal Processing and Control, vol. 76, pp. 1-12, 2022.
10. Durgadevi Velusamy and Karthikeyan Ramasamy, “Ensemble of Heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset “, in Computer Methods and Programs in Biomedicine, vol. 198, 2021.
11. Durgadevi Velusamy et.al, “Machine Learning Algorithms for Clinical Diagnosis of Lower Back Pain–A Survey” in Annals of Romanian Society of Cell Biology, vol. 25, no.4, 3993-4001, 2021.
12. Durgadevi Velusamy and GaneshKumar Pugalendhi, “Water Cycle Algorithm Tuned Fuzzy Expert System for Trusted Routing in Smart Grid Communication Network,” in IEEE Transactions on Fuzzy Systems, vol. 28, no. 6, pp. 1167-1177, 2020.
13. P.C.Mukesh Kumar, B.Rajappa, Durgadevi Velusamy, “Predictive analysis of heat transfer characteristics of nanofluids in helically coiled tubeheat exchanger using regression approach”, Thermal Science, vol.24, no.1, pp.505-513, 2020.
14. Durgadevi Velusamy, Ganeshkumar Pugalendhi and Karthikeyan Ramasamy, “A Cross-Layer Trust Evaluation Protocol for Secured Routing in Communication Network of Smart Grid,” in IEEE Journal on Selected Areas in Communications, vol. 38, no. 1, pp.193-204, 2020.
15. Durgadevi Velusamy, GaneshKumar Pugalendhi, Fuzzy integrated Bayesian Dempster–Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid, “Information Sciences”, vol.479, pp.542-566, 2019.
16. Ganesh Kumar Pugalendhi, Durgadevi Velusamy, Anand Paul & Ku-Jin Kim, “Fuzzy-based trusted routing to mitigate packet dropping attack between data aggregation points in smart grid communication network” Computing, vol. 99, no.1, pp.81-106, 2017.

Projects

Internal Funded Projects

External Projects:

Area of Research

• Machine Learning and Deep Learning
• Computational Intelligence and Data Analytics
• Security and Wireless Networks

Links

ORCID: 0000-0003-0715-2499

SCOPUS: https://www.scopus.com/authid/detail.uri?authorId=57191492447

Google Scholar: scholar.google.com/citations?user=tkfHeeAAAAAJ&hl=en