Naived George Eapen
Christ University, Christ University, India, Christ University, Bengaluru
About
Naived George Eapen is currently working as an Assistant Professor at the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India. He has an industry experience on projects involving Data Analytics, Machine Learning, IoT Devices and Optimisation Techniques. His major area of focus is Neural Networks and Deep Learning, particularly focusing on Image Processing tasks through Convolutional Neural Networks.
His principal area of academic interest is the intricate field of neural networks and deep learning, with a specific emphasis on image processing tasks executed through Convolutional Neural Networks (CNNs). This specialized focus empowers him to delve deep into the inner workings of such networks, enabling him to investigate and contribute unique insights to the burgeoning field of AI and machine learning.
By marrying his technical prowess, hands-on industry experience, and academic rigor, he is not only shaping the minds of the next generation of data scientists at CHRIST (Deemed to be University), but is also making significant strides in the expanding field of remote sensing, image procesisng, deep learning and neural networks. His unwavering dedication to his research and the passion for his work continue to inspire his students and colleagues alike.
Employment
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Christ University Core Team Member / Coordinator2026 - Present
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Christ University Assistant Professor2026 - Present
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Christ University Assistant Professor2021 - 2025
Education
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Christ University, India PhD in Computer Science2022 - 2025
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Christ University MSc Computer Science2019 - 2021
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Christ University, Bengaluru BSc in Computer Science, Mathematics and Electronics2016 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- CMSFE: Cross-Model SSL Feature Extraction for Enhanced Remote Sensing Data Representation Save
- Ensemble Representation Learning for Land Use Land Cover Classification Save
- Exploring Self-Supervised Learning Architectures for Image Processing: Milestones and Challenges Save
- LULC Analysis of Green Cover Loss in Bangalore Save
- A Framework for Dress Code Monitoring System using Transfer Learning from Pre-Trained YOLOv4 Model Save
- Conversational Agents and Chatbots: Current Trends Save
- Energy Intelligence: The Smart Grid Perspective Save
- Security Aspects for Mutation Testing in Mobile Applications Save
- Elementary Methods for Generating Three-Dimensional Coordinate Estimation and Image Reconstruction from Series of Two-Dimensional Images Save
- A clinical study of hepatitis B Save