S.Saranya Rubini, K.Sathya, R.Saveeth, M.Prabhavathy, "Evolutionary Discriminative Deep Belief Network based Diabetic Retinopathy Classification", International Conference on Soft computing and signal processing (ICSCSP 2023) June 2023, Malla Reddy College of Engineering and Technology, Hyderabad.

S.Saranya Rubini (2022), "Behaviors of Modern Game Non-Playable Characters", Conference Proceedings, International Conference on Communication, Computing and Electronic Systems (ICCCES 2022), Conference Proceedings, PPG Institute of Technology, Coimbatore.

S.Saranya Rubini, M. Prabhavathy, R. Saveeth (2022), "A novel approach for detecting online malware detection using performance metrics using LSTMRNN and BRNN based recurrent neural network in cloud environment", "FICR International Conference on Rising Threats in Expert Applications and Solutions", IIS University, Jaipur.

S.Saranya Rubini, R.SaaiNithil, Dr.A.Kunthavai, Dr.Ashish Sharma (2018), "Deep Convolutional Neural Network Based Diabetic Retinopathy Detection in Digital Fundus Images", International Conference on Soft computing and signal processing (ICSCSP 2018), Malla Reddy College of Engineering and Technology, Hyderabad.

S.Saranya Rubini, Dr.A.Kunthavai, Dr.Ashish Sharma (2017) "Optic Disc Segmentation and Diabetic Retinopathy Detection using Hessian Matrix", Conference Proceedings, International Conference on Data Science and Engineering, PSG College of Technology. Coimbatore.

S.Saranya Rubini, A.Kunthavai (2015) , "Diabetic Retinopathy Detection Based on Eigen Values of the Hessian Matrix", International Conference on Graph Algorithms, High performance implementations and applications, Coimbatore institute of Technology, Coimbatore.

S.Saranya Rubini, Dr.A.Kunthavai (2021), " Genetic Optimized Stacked Auto Encoder Based Diabetic Retinopathy Classification", Journal of Multiple-Valued Logic and Soft Computing, 37(1-2), 191-206. (Scopus Indexed).

S.Saranya Rubini, M. Prabhavathy, S. Uma Maheswari, R. Saveeth (2021), "Permission and API Calls Based Hybrid Machine Learning Approach for Detecting Malicious Software in Android System", Journal of Multiple-Valued Logic and Soft Computing, 37(5-6), 553-571(Scopus Indexed).

S.Saranya Rubini, L.Priyadharshini ,K.Divaina, V.Pooja (2018) "Automated Classification of Diabetic Retinopathy: Survey", Journal of Applied Science and Computations, 5(8), 522 - 528 (UGC Approved).

S.Saranya Rubini, Dr.A.Kunthavai (2018) " Morphological Contour Based Blood Vessel Segmentation in Retinal Images using Otsu Thresholding", International Journal of Applied Evolutionary Computation (IJAEC), 9(4) (UGC Approved).

S.Saranya Rubini, Dr.A.Kunthavai (2015) , "Diabetic Retinopathy Detection Based on Eigen Values of the Hessian Matrix", Elsevier Science in the open- access journal Procedia Computer Science, 47, 311-318 (Scopus Indexed).

S.Saranya Rubini, K.Karunambiga, M.Sundarambal, (2015) "Jamming-Resistent Frequency Hopping for Cognitive Radio Networks Security: Survey", International Journal of Applied Engineering Research 10(3):5965-5970.

Palanisamy, S., S. S. Rubini, and O. I. Khalaf. "Multiobjective hybrid split-ring resonator and electromagnetic bandgap structure-based fractal antennas using hybrid metaheuristic framework for wireless applications. Sci Rep 14, 3288 (2024).

S.Saranya Rubini (2022), "Behaviors of Modern Game Non-Playable Characters", Springer Series - Lecture Notes in Electrical Engineering, Volume 977, pp 343 - 352, March 2023. (Scopus indexed)

S.Saranya Rubini, M. Prabhavathy, R. Saveeth (2022), "A novel approach for detecting online malware detection using performance metrics using LSTMRNN and BRNN based recurrent neural network in cloud environment", Lecture notes in Networks and Systems, January 2022. DOI: 10.1007/978-981-19-1122-4_1 (Scopus indexed)

S.Saranya Rubini, R.SaaiNithil, Dr.A.Kunthavai, Dr.Ashish Sharma (2019), ” Deep Convolutional Neural Network Based Diabetic Retinopathy Detection in Digital Fundus Images ”, Advances in Intelligent Systems and Computing – Springer, January 2019. (Scopus Indexed).

An Internet of Things (IOT) Based Tracking System for the Real Time Health Conditions of Patients in Intensive Care Units (ICUs) In Hospitals. (Indian Patent no 201941050577)

Automatic Summarization of Video Content into Text Transcripts Using Recurrent Neural Network Based Long Short-Term Memory Architecture (Indian Patent No 202241063827 A)