Ravi Subban Ph. D. (Manonmaniam Sundaranar University)
Dr, Pondicherry University, Pondicherry, Pondicherry · India
Editorial leadership for International Journal of Neuroinformatics
Research interests
- Machine Learning
- Academic Writing
- Qualitative Analysis
- Image Processing
- Pattern Recognition
- Research Methodology
- Data Analysis
- Classification
- Optimization
- Feature Extraction
- Quantitative Analysis
- Neural Networks
- Artificial Intelligence
- Algorithms
- Clustering
- Data Collection
- Computational Intelligence
- Advanced Machine Learning
- Methodology
- Quantitative Data Analysis
- Survey Methodology
- Research Analysis
- Report Writing
- Qualitative Inquiry
- Quantitative Methodology
- Research Project Management
- Segmentation
- Survey Analysis
- Evolutionary Computation
- Genetic Algorithm
- Face Detection
Biography
Dr. Ravi Subban is affiliated with Pondicherry University in Pondicherry, India, where he conducts research in medical image analysis, computer vision, and pattern recognition. He completed his education at Manonmaniam Sundaranar University. His research encompasses diverse areas including biometric recognition systems, shadow detection and compensation, face tracking, retinal image analysis, and cervical cancer classification using artificial intelligence techniques. His most influential work, "Medical image analysis based on deep learning approach" (2021), has garnered 271 citations, reflecting the significant impact of his contributions to the application of deep learning methods in medical imaging.
Selected publications
- Medical image analysis based on deep learning approach 2021 cited 271×
- Adversarial examples: attacks and defences on medical deep learning systems 2023 cited 40×
- An efficient adaptive histogram based segmentation and extraction model for the classification of severities on diabetic retinopathy 2020 cited 21×
- Computer aided decision support system for mitral valve diagnosis and classification using depthwise separable convolution neural network 2021 cited 4×
- Landmine Detection and Classification Based on Machine Learning Algorithms 2023 cited 1×
- Evolution of Benchmark Datasets and the Evaluation of Cutting-Edge Algorithms for Underwater Image Enhancement Recent 2026
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering IJNN for your work?
This journal is guided by Ravi Subban (Dr, Pondicherry University, Pondicherry, Pondicherry) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.