RAMAMOORTHY M
Saveetha School of Engineering, B.S. Abdur Rahman Crescent Institute of Science & Technology
0000-0001-9128-3664
About
Dr.M.Ramamoorthy, B.Tech., M.E., Ph.D., Head & Associate Professor of the Department of Applied Machine Learning, Institute of Artificial Intelligence and Machine Learning. He has Completed his Ph.D. Degree in Information Technology from B.S Abdur Rahman Crescent University, Tamilnadu, India in 2021, He did his M.E. degree in Computer Science and Engineering from V.M.K.V Engineering College, Vinayaka Mission University, Salem, India in 2009, He has received the B.Tech. degree in Information Technology from Jayam College of Engineering and Technology , Anna University, Chennai, India, in the year 2005. He is a Member of ISTE chapter and CSI. He has 16+ years of teaching experience in UG & PG Engineering courses. He has published 14 papers in well reputed international journals, 6 papers in international conferences and 8 papers in national conferences. His current research interests are Medical Imaging & Analytics, Bio Medical Image Processing, and AI & Machine Learning.
Employment
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Saveetha School of Engineering Head & Associate Professor2022 - Present
Education
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B.S. Abdur Rahman Crescent Institute of Science & Technology PHD2012 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- From Handwriting to Cognition: A Hybrid Deep Learning Framework for Native Language Identification Save
- End-to-End Recognition and Interpretive Question Answering for Ancient and Cursive Texts Using Multilevel Neural Architectures and Transfer Learning Save
- Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture Save
- Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things Save
- An efficient Berkeley’s wavelet convolutional transfer learning and local binary Gabor fuzzy C-means clustering for brain tumour detection Save
- Earlier Detection of Brain Tumor by Pre-Processing Based on Histogram Equalization with Neural Network Save
- Multimodal brain image fusion using graph intelligence method Save
- Intelligent Surveillance System with Time Optimization Save
- Efficient multiuser keyword search over encrypted data in cloud computing Save
- Robust time optimization in HD video surveillance system Save