Abhijit Sarkar
Future Institute of Engineering and Management, Indian Institute of Engineering Science and Technology, Shibpur, St. Thomas' College of Engineering & Technology
About
Abhijit Sarkar is a Ph.D. Scholar in the Department of Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur. His research primarily focuses on image steganography, information security, and secure digital communication. His areas of interest include Steganography, Cryptography, Machine Learning, Deep Learning, Cloud Computing, and Artificial Intelligence.
He has published numerous research papers in peer-reviewed international journals and conference proceedings. His research contributions are directed toward developing innovative and robust techniques for secure data hiding, cyber defense, and intelligent information processing.
Employment
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Future Institute of Engineering and Management Assistant Professor2025 - Present
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St. Thomas' College of Engineering & Technology Assistant Professor2024 - 2025
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Indian Institute of Engineering Science and Technology, Shibpur Research Scholar2023 - Present
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Haldia Institute of Technology Assistant Professor2021 - 2024
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Institute of Engineering & Management Assistant Professor2014 - 2021
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JIS College of Engineering Assistant Professor2011 - 2014
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- XGB-PV: A Radical Approach to Non-linear Image Steganography Using Ensemble Learning for Validation and Extensive Comparative Analysis Save
- A Secure IoT‐Based Approach for Smart Irrigation System Using an Arduino Uno Microcontroller Save
- MLR-PV: Radical Nonlinear Image Steganography Approach with Regression Analysis Validation Save
- Linguistic response surface methodology approach to measure the quality of nonlinear frame‐pixel and bit place‐based video steganography Save
- Cyber Security Save
- Visual Cryptographic Shares Using Color Components Save
- A Radical Image Steganography Method Predicated on Intensity and Edge Detection Save
- An Image Steganography Approach Using Arnold Transformation Save
- Deep Learning Approaches for Analysis and Detection of Tomato Leaf Diseases Save
- An Intelligent Path Estimation Technique for Transportation of Heterogeneous Droplets in Digital Micro Fluidic Biochips (DMFB) Save