Ravi Subban
Also known as: Dr. S. Ravi
Pondicherry University, Manonmaniam Sundaranar University
About
I am Working as (Associate) Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Pondicherry. I have 26 Years and 6 Months of teaching experience and more than 11 years of research experience after my Post Graduate Degree. I have published more than 187 research papers in the International Journals, IEEE and International and National Conferences. I am Senior Member of IEEE, Treasurer, IEEE SIPSHICOM, PODHIGAI Section, IEEE Young Professionals, IEEE Computational Intelligence Society Membership, IEEE Circuits and Systems Society Membership, IEEE Sensors Council, IEEE Systems Council, IEEE Biometrics Council, IEEE Council on Electronic Design Automation, the Indian Science Congress and Life Member (Associate) in Computer Society of India.
Employment
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Pondicherry University Dr2011 - Present
Education
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Manonmaniam Sundaranar University Ph. D.2005 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (50)
- Evolution of Benchmark Datasets and the Evaluation of Cutting-Edge Algorithms for Underwater Image Enhancement Save
- Landmine Detection and Classification Based on Machine Learning Algorithms Save
- Coleus forskohlii Root Extract (ForcslimTM) as a Prospective Antidiabetic Agent: In vitro Glucose Uptake Stimulation and α-Amylase Inhibitory Effects Save
- Adversarial examples: attacks and defences on medical deep learning systems Save
- Medical image analysis based on deep learning approach Save
- Computer aided decision support system for mitral valve diagnosis and classification using depthwise separable convolution neural network Save
- An efficient adaptive histogram based segmentation and extraction model for the classification of severities on diabetic retinopathy Save
- An efficient techniques used for diagnosis of mitral valve regurgitation severity Save
- Face image super resolution based on smooth regression with local structure prior: A comparative study Save
- A novel denoising algorithm based on superpixel clustering and dictionary learning approach Save