Academic Profile

• Ph.D in Information and Communication Engineering, Anna University, Chennai

• M.E (Computer Science and Engineering) from Kongu Engineering College, Perundurai

• MCA from Kongu Engineering College, Perundurai

Professional Experience

• Professor in Information Technology, Nandha Engineering College (June 2024 – Till Date)

• Associate Professor in Computer Science and Engineering, Kongu Engineering College (June 2020 – May 2024)

• Assistant Professor (Senior Grade) in Computer Science and Engineering, Kongu Engineering College (Aug 2010 – May 2020)

• Lecturer (Senior Grade) in Computer Science and Engineering, Kongu Engineering College (July 2007 – July 2010)

• Lecturer in Computer Science and Engineering, Kongu Engineering College (October 2000 – June 2007)

• Lecturer in Computer Applications, Maharaja Engineering College (September 1999 – September 2000)

SCI Indexed Research Articles

• Shajin, F. H., Aruna Devi, B., Prakash, N. B., Sreekanth, G. R., & Rajesh, P. (2023). Sailfish optimizer with Levy flight, chaotic and opposition-based multi-level thresholding for medical image segmentation. Soft Computing, 27(17), 12457-12482.

• Sreekanth, G. R., Alrasheedi, A. F., Venkatachalam, K., Abouhawwash, M., & Askar, S. S. (2022). Extreme Learning Bat Algorithm in Brain Tumor Classification. Intelligent Automation & Soft Computing, 34(1).

• Sreekanth, G. R., Ahmed, S. A. N., Sarac, M., Strumberger, I., Bacanin, N., & Zivkovic, M. (2022). Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes. Comput. Syst. Sci. Eng., 41(2), 751-765.

• Anakath, A. S., Kannadasan, R., Joseph, N. P., Boominathan, P., & Sreekanth, G. R. (2022). Insider Attack Detection Using Deep Belief Neural Network in Cloud Computing. Computer Systems Science & Engineering, 41(2).

• Ramakrishnan, Sreekanth, Latha Sevalaiappan, and Suganthe Ravi Chandran. "Traffic-aware clustering scheme for MANET using modified elephant herding optimization algorithm." Int. Arab J. Inf. Technol. 18(5) (2021): 694-703.

• Suganthe, R. C., Latha, R. S., Geetha, M., & Sreekanth, G. R. (2020). Diagnosis of Alzheimer's disease from brain magnetic resonance imaging images using deep learning algorithms. Advances in Electrical and Computer Engineering, 20(3), 57-64.

• Suganthe, R. C., & Sreekanth, G. R. (2016). Emergency Health Information and Medical Services in Disaster Areas: A Delay Tolerant Network Approach. Journal of Medical Imaging and Health Informatics, 6(8), 1990-1996.

SCOPUS & WOS Journals

• Sreekanth, G. R., Thangaraj, P., & Kirubakaran, S. (2020). Fruit detection using improved K-means algorithm. Journal of Critical Reviews, 7(12), 5-6.

• Latha, R. S., Sreekanth, G. R., Akash, P., Dinesh, B., & Kumar, S. D. (2020). Brain tumor classification using SVM and KNN models for smote-based MRI images. Journal of Critical Reviews, 7(12), 1-4.

• Sreekanth, G. R., & Suganthe, R. C. (2014). A Novel Heuristic Based Clustering for Mobile Ad Hoc Networks. Journal of Theoretical & Applied Information Technology, 67(1).

• Sreekanth, G. R., Latha, R. S., Saivignesh, D. (2020). Certain Investigative Analysis on the Diagnosis of Lung Nodules in CT Scan Using Image Processing Techniques. Bioscience Biotechnology Research Communications, 13(4), 207-210.

• G. R. Sreekanth, Thangaraj, P., Arumugam, M., Satheesraj, V. (2020). Customer Classification of Discrete Customer Assets Data and CR-Re-Ranking of Classified Data. Bioscience Biotechnology Research Communications, 13(4), 217-219.

• R. S. Latha, G. R. Sreekanth, A. C. Amarnath, K. K. Abishek (2020). Detection of Plastics Using Convolutional Neural Network. Bioscience Biotechnology Research Communications, 13(4), 224-227.

Scopus Indexed Conferences & Book Chapters

• Latha, R. S., G. R. Sreekanth, R. C. Suganthe, and R. Esakki Selvaraj. "A survey on the applications of Deep Neural Networks." In 2021 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-3. IEEE, 2021.

• "Automatic Fruit Detection System using Multilayer Deep Convolution Neural Network," International Conference on Computer Communication and Informatics (ICCCI), IEEE XPLORE, 2021.

• "Automatic Detection of Tea Leaf Diseases using Deep Convolution Neural Network," International Conference on Computer Communication and Informatics (ICCCI), IEEE XPLORE, 2021.

• "Performance Evaluation of Convolutional Neural Network-Based Models on Signature Verification System," 2022 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-6, IEEE XPLORE, 2022.

• "Diagnosis of Diabetic Retinopathy and Glaucoma from Retinal Images using Deep Convolution Neural Network," 2022 International Conference on Computer Communication and Informatics (ICCCI), pp. 01-06, IEEE XPLORE, 2022.

• "Text Detection and Language Identification in Natural Scene Images using YOLOv5," 2023 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-7, IEEE XPLORE.

• "Detection of Bird and Frog Species from Audio Dataset Using Deep Learning." International Conference on Advanced Network Technologies and Intelligent Computing, pp. 336-350. Cham: Springer Nature Switzerland, 2022, SPRINGER.

• "Detection of Corn Leaf Infection Using CNN with Various Optimizers," 2nd IEEE International Conference on Artificial Intelligence and Machine Learning Applications (AIMLA 2024).

Professional Society Membership

• Indian Society for Technical Education (ISTE)

E-content Developed

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