DR. JAGANNATH SETHI

About

I am an Assistant Professor in the School of Electronic Sciences at Odisha University of Technology and Research (OUTR), Bhubaneswar, India. My research focuses on multimedia security, video compression, compressive sensing, chaotic systems, digital image/video processing, and deep learning, with an emphasis on secure and resource-efficient multimedia communication.

I received my Ph.D. in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata, in 2026. My doctoral research investigated efficient video processing schemes for compression and security, including chaos-based video encryption, joint compression–encryption, adaptive compressive sensing, and deep-learning-based video reconstruction.

My current interests include the design of novel chaotic maps and pseudorandom sequence generators, secure image/audio/video encryption, adaptive compressive sensing, lightweight multimedia security, and intelligent reconstruction methods. I am particularly interested in wireless visual sensor networks, edge and resource-constrained multimedia systems, and secure IoT-oriented communication frameworks.

My research aims to integrate chaotic dynamics, signal processing, compressive sensing, and learning-based methods to develop secure, computationally efficient, and reliable multimedia processing solutions.

Employment

• Odisha University of Technology & Research Assistant Professor
  2013 - Present
• Siksha O Anusandhan University Assistant Professor
  2009 - 2013
• Hi-Tech Institute of Technology Lecturer
  2008 - 2009

Education

• Jadavpur University Ph.D.
  2019 - 2026
• Institute of Technical Education & Research Master of Technology
  2006 - 2008
• Silicon Institute of Technology Bachelor in Technology
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A robust and secure video recovery scheme with deep compressive sensing
  Image and Vision Computing 2026 2 citations DOI: 10.1016/j.imavis.2025.105853
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• Deep Compressive Sensing for High-Quality Video Recovery
  Computer Vision and Image Processing: International Conference, CVIP. Communications in Computer and Information Science (2477) 2026 0 citations DOI: 10.1007/978-3-031-93709-5_9
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• ODEHA-Net: Optimized Deep Ensemble Framework with Hybrid Attention for Emotion Detection
  2025 IEEE 4th Conference on Applied Signal Processing (ASPCON) 2025 0 citations DOI: 10.1109/aspcon66877.2025.11389493
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• Secure Image Encryption with Optimized Chaotic Sequences and Multi-layer Cryptographic Operations
  SN Computer Science 2025 1 citation DOI: 10.1007/s42979-025-04407-1
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• Image Encryption Using Improved Chaotic Map
  Lecture Notes in Networks and Systems 2025 0 citations DOI: 10.1007/978-981-96-2299-3_15
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• Secure Image Encryption Using AES with Chaotic Map-Based S Box
  Lecture Notes in Networks and Systems 2025 0 citations DOI: 10.1007/978-981-96-3314-2_9
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• Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting
  SN Computer Science 2024 8 citations DOI: 10.1007/s42979-024-02999-8
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• Joint video compression and encryption using parallel compressive sensing and improved chaotic maps
  Digital Signal Processing 2022 20 citations DOI: 10.1016/j.dsp.2022.103746
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• Chaos-Based Uncompressed Frame Level Video Encryption
  Proceedings of the Seventh International Conference on Mathematics and Computing 2022 11 citations DOI: 10.1007/978-981-16-6890-6_15
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• Fast and Secure Video Encryption Using Divide-and-Conquer and Logistic Tent Infinite Collapse Chaotic Map
  Communications in Computer and Information Science 2022 4 citations DOI: 10.1007/978-3-031-11346-8_14
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