Dr. Arunadevi Karuppasamy

Title: Assistant Professor
Email: arunadevi@gulfcollege.edu.om
Tel:    24468666
Ext.#:  .

Artificial Intelligence, Deep Learning, Medical Image Processing, Natural Language Processing, Data Analytics

PhD in Computer Science, Sultan Qaboos University, Oman (2022)
Master of Engineering in Computer Science and Engineering, Anna University, India(2011)
Bachelor of Engineering in Computer Science and Engineering, PSG College of Technology, Anna University, India (2008)

Dr. ArunaDevi Karuppasamy holds a Ph.D. in Computer Science from Sultan Qaboos University (2022). She completed her Bachelor’s and Master’s degrees in Computer Science and Engineering from Anna University, India. She is a Professional Member (MBCS) of BCS, The Chartered Institute for IT (UK) and holds the BCS Foundation Certificate in Artificial Intelligence (2025). Dr. ArunaDevi is the recipient of the National Research Award (NRA), 11th Cycle (2024) in the Information and Communication Technology (ICT) Category, awarded by the Ministry of Higher Education, Research and Innovation (MoHERI), Sultanate of Oman and the Best Research Award (Gulf College, 2024) in recognition of her impactful research contributions.  She has over 9 years of academic experience in Oman and India and currently serves as an Assistant Professor at Gulf College. Her responsibilities include teaching undergraduate modules, supervising research and final-year projects, contributing to curriculum development, and supporting quality assurance and programme review activities within the department. She serves as a Principal Investigator of an external MoHERI Block Funding Programme (BFP) research grant and has also led and co-led multiple internal research grants at Gulf College, contributing to AI-driven initiatives aligned with Oman’s digital and research priorities. Her research expertise focuses on Artificial Intelligence, Deep Learning, Medical Image Analysis, Machine Learning, and Predictive Analytics, particularly in healthcare and educational applications. Dr. ArunaDevi remains committed to advancing applied AI research, fostering student research engagement, and contributing to innovation and digital transformation in higher education.

Journals:

1. Karuppasamy, A., Zidoum, H., Al-Rashdi, M.S.S. and Al-Bahri, M., 2025. Optimizing breast cancer diagnosis with convolutional autoencoders: Enhanced performance through modified loss functions. Intelligence-Based Medicine, p.100248. ( Q2 Scopus Indexed Journal)
2. Karuppasamy, A., Abdesselam, A., Hedjam, R., Zidoum, H., & Al-Bahri, M. (2024). Combining a forward supervised filter learning with a sparse NMF for breast cancer histopathological image classification. Intelligence-Based Medicine, 100174. . ( Q2 Scopus Indexed Journal)
3. Karuppasamy, A., Abdesselam, A., Hedjam, R., & Al-Bahri, M. (2024). Feed-forward networks using logistic regression and support vector machine for whole-slide breast cancer histopathology image classification. Intelligence-Based Medicine, 9, 100126. ( Q2 Scopus Indexed Journal)
4. AmalaNirmal Doss, Reshmi Krishnan, Karuppasamy, A, Baby Thomas, (2024). Predictive Analysis of Learners Behavior for an Indigenous MOOC Platform (Tadakhul system) in Oman, International Journal of Information and Education Technology (IJIET)  (Q3 Scopus Indexed Journal)
5. Karuppasamy, A., Abdesselam, A., Hedjam, R., Zidoum, H., & Al-Bahri, M. (2022). Recent CNN-based techniques for breast cancer histology image classification. The Journal of Engineering Research [TJER], 19(1), 41-53. (Q3 Scopus Indexed Journal)
6. Karthik Selva Kumar, K.Aruna Devi, and L.A. Kumaraswamidhas, (2014) SPSS: A Data mining tool for analyzing the results of flow induced vibration excitation in an elastically mounted circular cylinder at different interference conditions, Applied Mechanics and Materials, Vol.592-594, pp 2086-2090. (Scopus.)

Conference:

1. Karuppasamy, A., Maata, R. L., & Domingo, S. (2025). Recent studies on enhancing breast cancer histopathology image analysis using neural architecture search, graph neural network, and generative adversarial networks. In Proceedings of the International Conference on Computational Intelligence and Data Communication (ICCIDC), Bali. (Scopus indexed conference)
2. Al-Mukhaini, T. K. R., Al Jaradi, K. S. A., Al Khatri, M. R. H., Karuppasamy, A., & Joe, S. A. (2025, December 10–11). WIQAYA system: An artificial intelligence-assisted early detection of sickle cell disease in Oman. 3rd International Conference on Advancing Sustainable Futures (ICASF 2025), Abu Dhabi University, United Arab Emirates. (Scopus Indexed conference)
3. Al-Siyabi, H., Karuppasamy, A. D., & Maata, R. L. Irshad system: Guiding Omani secondary school (grade 12) graduates toward market-relevant higher education. In Emerging Technologies in AI, Computation, Communication, and Cybersecurity(pp. 284-289). CRC Press. (Scopus indexed conference)
4. Maata, R. L., Karuppasamy, A. D., & Domingo, S. Predictive learning analytics: An AI model (BiLSTM-ECL) for enhancing student retention in Oman’s higher education. In Emerging Technologies in AI, Computation, Communication, and Cybersecurity(pp. 349-354). CRC Press.( Scopus indexed conference)
5. Zidoum, H., Karuppasamy, A., Mukhtar, M.A.A. and Al-Bahri, M., 2025, February. Explainable AI for Breast Cancer Diagnosis: A Convolutional Autoencoder with Modified Loss Functions and Grad-CAM Visualization for Histopathology Image Classification. In 2025 International Conference for Artificial Intelligence, Applications, Innovation and Ethics (AI2E)(pp. 1-5). IEEE. (Scopus indexed conference)
6. Karuppasamy, A., Rolou Lyn Maata ,   Sebastin Antony Joe ,   Abubucker Samsudeen Shaffi. (2024) Artificial Intelligence Techniques for Optimizing Green Hydrogen Production from Organic Wastes in the Sultanate of Oman: A Deep Learning Approach . In 2024   International Conference on Advancing Sustainable Futures (ICASF 2024) (Scopus Indexed Conference)
7. Karuppasamy, A, Alonood Khalfan Al Sulaimani, Asim Qureshi (2024). Artificial Intelligence Techniques for Prostate Cancer Classification Using Histopathology Images in Oman. In 2024  International Conference on Advancing Sustainable Futures (ICASF 2024) ( Scopus Indexed Conference)
8. Karuppasamy, A., Venugopal, D., Balaji, P. S., SelvaKumar, K., Ramachandran, B., Eliyan, G., … & Pillai, I. G. (2024, June). Fault Detection in Solar Panel Images using a novel feed-forward based CNN model. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE. (Scopus indexed conference)
9. Ramanathan, S., Karuppasamy, A. D., Deenathayalan, M., & Ravisankar. (2024, December). Harnessing Grey Wolf Optimization for Enhanced Deep Learning CNN in Rheumatoid Arthritis X-ray Analysis. In Congress on Smart Computing Technologies(pp. 83-94). Singapore: Springer Nature Singapore. (Scopus indexed conference)
10. Dhanalakshmi V, Dhivya Bino, Karuppasamy, A., ” Comparative Analysis of CNN and ViT on Breast Cancer Diagnosis using Mammograms”, ICAT 2024,  Elseveir (Accepted in the Scopus Indexed Conference).  
11. Reshmi Krishnan, Karuppasamy, A, (2024). “Mutashar: Oman’s Tailored AI-Powered Tool for Career Selection”. (Accepted in Scopus Indexed Conference, AIVR Japan)
12. Karthik Selva Kumar, Brintha, R, Karuppasamy, A,  & Balaji, PS., Krishna Kumar Jaiswal,  Sangmesh,  A.Suresh, B.V.V.K.Krishna., (2023) “AI-Enabled Condition Monitoring for a Wind Energy Conversion System –Vertical Axis Wind Turbine (VAWT)” , 10thInternational and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP)  (Scopus Indexed Conference). 
13. Karuppasamy A “Recent ViT-Based Techniques for Breast Cancer Histopathology Image Classification”. ICCCNT, 2023. IEEE (Scopus Indexed Conference)
14. Karuppasamy A, Abdessalem A, Hedjam R, Zidoum HM. “Investigating Existing Techniques for Designing Convolutional Neural Network Filters”. ICCCNT, 2019. IEEE (Scopus Indexed Conference)