Dr. Neeraja. R
B.Tech, M.E., Ph.D
Assistant Professor
Department Of Computer Science and Engineering
Email id: neerajar@ssn.edu.in
Dr. Neeraja R completed her B.Tech in Computer Science and Engineering from Mount Zion College of Engineering affiliated to Mahatma Gandhi University, Kerala in 2011 and M.E. in Computer Science and Engineering from Nehru Institute of Technology affiliated to Anna university, Chennai in 2014. She completed her Ph.D from Vellore Institute of Technology, Chennai in 2025.
She has over 4.5 years of teaching experience and has received the Raman Research Award and APJ Abdul Kalam Award at VIT Chennai for the research publications. She has co- authored journal articles, conference papers and book chapters published by renowned publishers including IEEE Xplore, Elsevier and Springer Nature.
- Autonomous Systems
- Multi-Agent Systems
- Reinforcement Learning
- SLAM
- Deep Learning
- Medical Image Analysis
- Image Processing
- Neeraja, R., & Anbarasi, L. J. (2025). A critical review of artificial intelligence based techniques for automatic prediction of cephalometric landmarks. Artificial Intelligence Review, 58(5), 148. SCI (Q1, IF 10.7).
- Neeraja, R., & Anbarasi, L. J. (2025). CephTransXnet: An attention enhanced feature fusion network leveraging neighborhood rough set approach for cephalometric
landmark prediction. Computers in Biology and Medicine, 188, 109891. SCI (Q1, IF 7). - Neeraja, R., & Anbarasi, L. J. (2023). CephXNet: a deep convolutional squeeze-and- excitation model for landmark prediction on lateral cephalograms. IEEE Access, 11, 90780-90800. SCI (Q1, IF 3.9).
- Neeraja, R., & Anbarasi, L. J. (2025). DentC_BSFL Net: Boundary Refined and
Spatial Adaptive Feature Learning Network for Enhanced Dental Caries
Segmentation. IEEE Access. SCI (Q1, IF 3.4). - Sharen, H., Anbarasi, L. J., Rukmani, P., Gandomi, A. H., Neeraja, R., & Narendra, M. (2024). WISNet: A deep neural network based human activity recognition system. Expert Systems with Applications, 258, 124999. SCI (Q1, IF 7.5).
- Anbarasi, L. J., Jawahar, M., Jayakumari, R. B., Narendra, M., Ravi, V., & Neeraja, R. (2024). An overview of current developments and methods for identifying diabetic foot ulcers: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(6), e1562. SCI (Q1, IF 6.1).
- De Britto, N., Neeraja, R., Anbarasi, L. J., Ravi, V., SP, S. I., Jawahar, M., & Al Mazroa, A. (2024). Diagnosis of Lymphatic Metastasis in Breast Cancer Using
Nanoparticle Technology-Diagnosis, Therapy, Imaging, Treatment. The Open Neuroimaging Journal, 17(1).8. (Scopus Indexed). - Mehra, P., Anbarasi L, J., Ravi, V., & Al Mazroa, A. (2024). VGG-16 based Deep
Learning Approach for Cephalometric Landmark Detection. The Open Public Health
Journal, 17(1). (Scopus Indexed).