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April 26, 2023

Dr. V. Durgadevi – Assistant Professor

Dr. V. Durgadevi – Assistant Professor

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IT

Dr. V. Durgadevi
B.E., M.Tech., Ph.D

Assistant Professor

Email: [email protected]

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INTERNATIONAL
JOURNALS

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INTERNATIONAL
CONFERENCES

Dr. Durgadevi Velusamy received her B.E., and M.Tech., degrees with distinction all in Computer Science and Engineering in 2004 and 2008 respectively from Bharathidasan University, India. She completed her PhD in Information and Communication Engineering in 2019 at Anna University, Chennai, India. She was the recipient of IEEE Best Paper Award in 2017. She is a recognized Supervisor of Anna University, Chennai and presently she is guiding 4 Ph.D scholars in the multi-disciplinary domains of Network Security, Anomaly Detection, Renewable Energy Generation, and Optimization Techniques for renewable power systems. She has received an internal fund of Rs.6.8 lakhs from SSN Trust. She has a total of 16 years of experience of which 10 years in research. Her research interest includes network security, Machine Learning techniques, and Data Analytics.

Research Publications:

  1. 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. (Thomson Reuters Impact Factor: 9.0)
  2. 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. (Thomson Reuters Impact Factor: 4.1)
  3. 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. (Thomson Reuters Impact Factor: 1.9)
  4. 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. (Thomson Reuters Impact Factor: 5.1)
  5. 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. (Thomson Reuters Impact Factor: 6.1)
  6. 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.
  7. 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. (Thomson Reuters Impact Factor: 11.9)
  8. C.Mukesh Kumar, B.Rajappa, Durgadevi Velusamy, “Predictive analysis of heat transfer characteristics of nanofluids in helically coiled tube heat exchanger using regression approach”, Thermal Science, vol.24, no.1, pp.505-513, 2020. (Thomson Reuters Impact Factor:1.7)
  9. 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. (Thomson Reuters Impact Factor: 16.4)
  10. 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, 2019, pp.542-566. (Thomson Reuters Impact Factor: 8.1)
  11. 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. (Thomson Reuters Impact Factor: 3.7)

Funded Project Details

S. No. Title of the proposal Funding Agency Amount Status
1 Development of effective AI models for automatic fault detection in PV power plants SSN Trust Rs.380000 Granted
2 Decoding Pulmonary Health: Enhancing Rapid Patient Lung Assessment via Computer-Aided Analysis of Interlobular Septum Thickness SSN Trust Rs.300000 Granted
3 Data Encryption with Hashing to secure Mobile User Information for Cloud-based Backup Solution SSN Trust Rs.10000 Granted
4 AgriChain SSN Trust Rs.18000 Granted

Reviewer for Journals:

  1. Reviewer for Elsevier in Information Sciences, Engineering Applications in Artificial Intelligence.
  2. Reviewer Contribution Award for Information Sciences, Engineering Applications in Artificial Intelligence, Elsevier.
  3. Reviewer for IEEE Transaction on Fuzzy Systems.
  4. Reviewer for IEEE Transaction on Smart Grid.
  5. Reviewer for Soft Computing (Springer).
  6. Reviewer for the Journal of Ambient Intelligence & Humanized Computing (Springer).

Research Citations

ORCID: 0000-0003-0715-2499
Publons ResearcherID: AAP-5084-2021
Scopus ID: 57191492447
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