Dr. Aditya Kumar Sahu
SRM University, Andhra Pradesh, Amrita Vishwa Vidyapeetham Amrita School of Engineering, Koneru Lakshmaiah Education Foundation, Berhampur University, Gandhi Institute of Engineering and Technology
About
Dr. Aditya Kumar Sahu is currently associated with department of Computer Science and Engineering, SRM-AP University, Amaravati, Andhra Pradesh, Guntur, Andhra Pradesh. I have a total of 18 years of teaching and research experience. I have completed PhD in data hiding and image steganography. I am currently working on image watermarking, tamper detection and correction, self-recovery, reversible watermarking, and data hiding. image authentication using deep neural network, steganalysis. I invite like-minded researchers or scholars who wish to work in collaboration on the above research areas.
Employment
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SRM University, Andhra Pradesh AP2025 - Present
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Amrita Vishwa Vidyapeetham Amrita School of Engineering Associate Professor2022 - 2025
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Vignan's Foundation for Science Technology and Research Associate Professor2021 - 2022
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GMR Institute of Technology Assistant Professor2017 - 2021
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Koneru Lakshmaiah Education Foundation Assistant Professor2015 - 2017
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Majhighariani Institute of Technology and Science Assistant Professor2008 - 2015
Education
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Koneru Lakshmaiah Education Foundation PHD2015 - 2020
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Berhampur University2009 - 2011
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Gandhi Institute of Engineering and Technology2003 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (68)
- SEF-QIM: Scale-based Embedding Factor Quantization Index Modulation Image Watermarking for Tamper Detection and Localization Save
- Biometric Embedded Non-Blind Color Image Watermarking with Geometric Tamper Resistance via SIFT-ORB Keypoint Matching Save
- A learned perceptual and neural detection framework for spread spectrum watermarking in medical images Save
- Blind audio watermarking for medical data authentication using fractional Charlier transform and adaptive dithered quantization index modulation Save
- Explainable and proactive fragile watermarking for medical Deepfake detection Save
- Hybrid fragile image watermarking for tamper detection, localization and dual self-recovery Save
- Secure and imperceptible medical image watermarking based on QR factorization in DT-CWT domain Save
- Secure and imperceptible medical image watermarking via multiscale QR embedding and attention-based optimization Save
- Neural Steganography and Steganalysis: A Comprehensive Review on the Future of Hidden Communication Save
- A novel image compression method using wavelet coefficients and Huffman coding Save