Dr. G. Suresh Kumar
About
Research Area
Dr. Sureshkumar Govindaraj is working as Assistant Professor in the Department of Computer Science, Pondicherry University, Karaikal, Puducherry UT, India. He earned his Masters Degree in Computer Science and Engineering from College of Engineering Guindy, Anna University, Chennai, India. Completed his Ph.D., in Computer Science and Engineering from Pondicherry University. He teaches post graduate degree engineering courses. His research areas of interest include Knowledge engineering and information retrieval systems. He has published many papers in international journals.
Artificial Intelligence; Machine Learning; Deep Learning; Natural Language Processing; Large Language Models; Image Processing; Computer Vision
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years
Teaching Experience
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Research (Guided & On-roll)
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Publications
Notable & Recent Publications
Shahnazeer, C.K. and Sureshkumar, G., “Prediction of ailments using federated transfer learning and weight penalty-rational Tanh-RNN”, Expert Systems with Applications, Vol. 276 (2024), pp. 1-10, ISSN 09574174, DOI: https://doi.org/10.1016/j.eswa.2025.127253 , Indexing: SCOPUS, ABDC, IF: 7.5.
Sudha Abirami R; Suresh Kumar G, “A Comprehensive Review on Detecting Diabetic Eye Diseases Using Deep Learning and Machine Learning Models”, International Journal for Research in Applied Science and Engineering Technology, Vol.11, No.9 (2023), pp. 49–58, ISSN:2321-9653, IF: 7.429. http://dx.doi.org/10.22214/ijraset.2023.55596
Patil, A. and Govindaraj SK, "ADL-BSDF: A Deep Learning Framework for Brain Stroke Detection from MRI Scans towards an Automated Clinical Decision Support System", International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 11(3), pp.11-23, 2023, ISSN: 23218169, DOI: https://doi.org/10.17762/ijritcc.v11i3.6195 , Indexing: SCOPUS,, IF: 5.837.
Sivamurugan, J; Sureshkumar, G; "Applying dual models on optimized LSTM with U-net Segmentation for breast cancer diagnosis using mammogram images", Artificial Intelligence In Medicine, Elsevier, Vol. 143(2023),pp. 1-19, 2023, , ISSN: 18732860 09333657, DOI: https://doi.org/10.1016/j.artmed.2023.102626 , Indexing: Scopus, Medline, Science Citation Index Expanded (SCIE), SCImago, Journal Rank (SJR) Q1, IF: 6.1.
Mrs. Anitha Patil, Dr. Suresh Kumar Govindaraj; "Enhanced Deep Learning Models for Efficient Stroke Detection Using MRI Brain Imagery", International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 11(3), pp.191-198, 2023, ISSN: 23218169, DOI: https://doi.org/10.17762/ijritcc.v11i3.6335 , Indexing: SCOPUS, IF: 5.837.
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