Dr. Shiju Thomas M.Y
Rajagiri College of Social Sciences (Autonomous), Christ University, Cochin University of Science and Technology
About
A highly accomplished professional holds a Ph.D. from CHRIST University, an MTech, and an MCA from Cochin University of Science and Technology. With prior experience as a Project Coordinator at Plus Point Solutions, he joined Rajagiri in 2013. Renowned as a Corporate Trainer and System Architect, he has excelled in designing and developing applications, including mobile app development. In addition, he serves as the Chief Technical Officer at RLabZ, the Live Lab in the department where innovation and technology converge. Dr. Thomas is recognized for impactful research on topics like encryption and digital image processing, with publications in international journals and conferences. He is proficient in multiple programming languages and leverages his expertise to conduct Consultancy, Workshops, and FDPs as a resource person, fostering comprehensive learning experiences.
Employment
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Rajagiri College of Social Sciences (Autonomous) Associate Professor2013 - Present
Education
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Christ University Ph D2020 - 2024
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Cochin University of Science and Technology M Tech CS(ES)2013 - 2016
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Cochin University of Science and Technology M C A1998 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- A High-Capacity Reversible Data Hiding on Grayscale Images Using Threshold-Based Clustering Save
- A novel image compression method using wavelet coefficients and Huffman coding Save
- A Hybrid Grayscale Image Scrambling Framework Using Block Minimization and Arnold Transform Save
- Image Encryption Algorithm with Block Scrambling Based on Logistic Map Save
- Securing grayscale image using improved Arnold transform and ElGamal encryption Save
- A CNN model to predict and segment cancerousregions from brain images using UNet and morphological operations Save
- Impulse noise recuperation from grayscale and medical images using supervised curve fitting linear regression and mean filter Save
- A Two-Pass Hybrid Mean and Median Framework for Eliminating Impulse Noise From a Grayscale Image Save
- A Novel Data Hiding Technique with High Imperceptibility Using a 3-Input Majority Function and an Optimal Pixel Adjustment Save
- Encryption then steganography framework on high capacity data hiding in grayscale images Save