Faculty-jaypee University of Engineering & Technology, Guna (M.P.)

Assistant Professor (SG)

Areas of Interest: Digital Image Forensics, Deep Learning, Image Processing, Computer Vision, Blockchain

Education: B.E, M.Tech, Ph.D.

E-mail: kunjbihari.meena@juet.ac.in

Contact No. : ext-175

Dr. Kunj Bihari Meena

Dr. Kunj Bihari Meena is a faculty and researcher in Computer Science and Engineering with a Ph.D. from Jaypee University of Engineering and Technology (JUET), Guna, an M.Tech from IIT Kharagpur, and a B.E. from Samrat Ashok Technological Institute (SATI), Vidisha. He has been associated with JUET, Guna since 2013 and has amassed over 12 years of teaching experience.

Dr. Meena has extensive expertise in subjects including Data Structures, Object-Oriented Programming, Introduction to Computers and Programming, Machine Learning, and Microprocessors and Controllers. He has successfully guided numerous undergraduate and postgraduate students in their projects and dissertations, fostering research-oriented learning and innovation.

An active researcher, Dr. Meena has published multiple papers in reputed international journals and conferences, including SCI and Scopus-indexed publications, with over five SCI-indexed articles to his credit. He has received Best Paper Awards for his research contributions and serves as a reviewer for prestigious SCI/Scopus journals and conferences. He is also a member of the Technical Program Committee (TPC) for several international conferences, reflecting his engagement with the global academic community.

Beyond research and teaching, Dr. Meena has contributed to academic administration, including serving as a Hostel Warden, and actively participates in Faculty Development Programs, workshops, seminars, and conferences to stay abreast of emerging trends and advancements in technology.

He is a lifetime member of the Computer Society of India (CSI) and demonstrates a strong commitment to mentoring, research, and professional service in the field of Computer Science and Engineering.

S. Narvare and K. B. Meena, “LiqU-Net: A liquid neural network-enhanced U-Net for efficient copy-move forgery detection and localization,” Applied Soft Computing, p. 114057, 2025.
Y. I. Murthy, K. B. Meena, and N. Patel, “Machine learning for predicting the half cell potential of cathodically protected reinforced cement concrete slabs subjected to chloride ingress,” Engineering Applications of Artificial Intelligence, vol. 137, p. 109090, 2024.
K. B. Meena and V. Tyagi, “Image splicing forgery detection using noise level estimation,” Multimedia Tools and Applications, vol. 82, no. 9, pp. 13181–13198, 2023.
K. B. Meena and V. Tyagi, “Blockchain Technology: Past, Present, and Future,” Indian Science Cruiser, vol. 36, no. 2, pp. 52–59, 2022.
K. B. Meena and V. Tyagi, “Distinguishing computer-generated images from photographic images using two-stream convolutional neural network,” Applied Soft Computing, vol. 100, p. 107025, 2021.
K. B. Meena and V. Tyagi, “A copy-move image forgery detection technique based on tetrolet transform,” Journal of Information Security and Applications, vol. 52, p. 102481, 2020.
K. B. Meena and V. Tyagi, “A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms,” Multimedia Tools and Applications, vol. 79, no. 11, pp. 8197–8212, 2020.
K. B. Meena and V. Tyagi, “A copy-move image forgery detection technique based on Gaussian-Hermite moments,” Multimedia Tools and Applications, vol. 78, no. 23, pp. 33505–33526, 2019.

K. B. Meena, S. Mehta, S. Hasan, S. Shrivastava, and V. Tyagi, “Accurate gesture recognition in Indian sign language using deep learning,” in Proc. 2025 7th International Conference on Information Systems and Computer Networks (ISCON), 2025.
J. Joshi, K. Vyas, U. Upadhyay, K. B. Meena, and V. Tyagi, “Secure data transmission via integrity-preserving and lossless file-to-image sequence encoding,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 103–116, 2025.
K. B. Meena and V. Tyagi, “A novel method for near-duplicate image detection using global features,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 136–149, 2023.
J. S. Tomar, P. Mishra, A. Gupta, K. B. Meena, and V. Tyagi, “A proposed model for precision agriculture,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 430–441, 2022.
K. B. Meena and V. Tyagi, “Image splicing forgery detection techniques: A review,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 364–388, 2021.
K. B. Meena and V. Tyagi, “A deep learning based method for image splicing detection,” in Journal of Physics: Conference Series, vol. 1714, no. 1, p. 012038, 2021.
K. B. Meena and V. Tyagi, “A deep learning based method to discriminate between photorealistic computer generated images and photographic images,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 212–223, 2020.
K. B. Meena and V. Tyagi, “A novel method to distinguish photorealistic computer generated images from photographic images,” in Proc. 2019 Fifth International Conference on Image Information Processing (ICIIP), pp. 385–390, 2019.
K. B. Meena and V. Tyagi, “Methods to distinguish photorealistic computer generated images from photographic images: A review,” in Proc. International Conference on Advances in Computing and Data Sciences, pp. 64–82, 2019.
K. B. Meena and V. Tyagi, “Image Forgery Detection: Survey and Future Directions,” Data, Engineering and Applications, vol. 2, pp. 163–194, 2019.

B. Gupta, G. Madnani, Y. Pathak, K. B. Meena, and V. Tyagi, “AI-Driven Sales Forecasting and Operational Trend Analysis for Accelerated Food Supply Logistics,” in Digital Resilience in Supply Chains: Security, Governance, and AI Innovation, pp. 263–296, IGI Global, 2026.
A. Varshney, A. Samaiya, S. Varshney, K. B. Meena, and V. Tyagi, “Technology in Education for People with Disabilities: Coding for Inclusion and Accessible Learning Design,” in Effective Coding Skill Development in Education, pp. 253–290, IGI Global, 2026.
K. B. Meena, K. K. Singh, M. Jain, S. S. Dhande, and V. Tyagi, “Healthcare Text-Mining Approach to Detect Metabolic Syndrome by Analyzing User-entered Symptoms in Natural Language,” in Revolutionizing Metabolic Medicine With Artificial Intelligence, pp. 325–360, IGI Global, 2026.
A. Sudhir, K. Singh, A. Khare, K. B. Meena, and V. Tyagi, “AI-Driven Assessment of Cognitive Stress: Integrating Natural Language Processing and the Internet of Behaviours for Workplace Well-Being,” in Innovative Approaches to AI-Supported Hybrid and Remote Workplaces, pp. 63–92, IGI Global, 2026.
Y. Parsai, V. K. Rai, S. Tripathi, K. B. Meena, and V. Tyagi, “AI-Driven Handwritten Text Recognition and Digital Conversion for a Smart Campus,” in Reinventing Higher Education Through Digital Transformation and Smart Campuses, pp. 35–64, IGI Global, 2026.
S. Nikhra, S. Jaiswal, S. Tudha, K. B. Meena, and V. Tyagi, “AI-Enabled Participatory Governance for Sustainable Urban Problem Reporting,” in AI-Powered Augmented Reality for Public Administration, pp. 27–52, IGI Global, 2026.