Prof. Dr. K. Meena

About

Prof. Dr. K. Meena is an accomplished academic, researcher, and technology innovator with over 23 years of experience in teaching, research, academic leadership, and institutional development in Computer Science and Engineering. She holds a Ph.D. in Computer Science and Engineering and has contributed extensively to academic excellence, research advancement, innovation, and quality initiatives.

Hes major research interests include Artificial Intelligence, Machine Learning, Computer Vision, Image Processing, Biometrics, Cybersecurity, UAV/Drone Technologies, and AI-driven Healthcare Systems. Her research focuses on developing innovative and practical technology solutions for agriculture, healthcare, security, and other real-world applications.

Prof. Dr. Meena has authored/co-authored 80+ research publications, including papers in reputed SCI/SCIE/Scopus-indexed journals and conferences. She has also contributed to scholarly books and book chapters and has guided research scholars in emerging areas of Computer Science and Engineering.

She has a strong record of innovation and intellectual property development, with multiple patents filed, published, and granted. Her innovations include UAV and drone-based solutions for coconut harvesting, crop disease detection and precision spraying, aquaculture feed dispensing, nano-bubble technologies, and drone safety mechanisms. Her research emphasizes the transition of ideas from conceptualization and prototype development to intellectual property protection and technology transfer.

Experience

• 23 years

Qualification

• B.E
• M.E
• P.hD

Award & Recognition

• 17 patents/design applications filed or published, including 6 granted patents in the area of UAV and healthcare
• 20 SCI/SCIE-indexed journal publications.
• 63 Scopus-indexed publications.
• 4 Ph.D. scholars successfully guided.
• 2 funded research projects secured.

Research

• K. Hema and K. Meena, “Synthetic Data-Augmented Modeling for Early Detection and Progression of Chronic Kidney Disease,” Procedia Computer Science, vol. 282, pp. 643–652, 2026, doi: 10.1016/j.procs.2026.05.111.
• K. Meena and K. Hema, “Developing a CKD prognostic model: Integrating feature extraction and classifiers for early detection,” Biomedical Signal Processing and Control, vol. 106, Art. no. 107726, 2025, doi: 10.1016/j.bspc.2025.107726.
• H. Najmusher and K. Meena, “Deep Learning-Driven Framework for Tomato Disease Analysis: A Biotic and Abiotic Perspective with VGG19 and Inception,” SN Computer Science, vol. 6, Art. no. 851, 2025, doi: 10.1007/s42979-025-04322-5.
• K. Meena and B. Chaitra, “A Novel Framework Using Deep Learning Techniques for Ragi Price Prediction in Karnataka,” IEEE Access, 2024, doi: 10.1109/ACCESS.2024.3455892.
• K. Hema, K. Meena, and R. Pandian, “Analyze the impact of feature selection techniques in the early prediction of CKD,” International Journal of Cognitive Computing in Engineering, vol. 5, pp. 66–77, 2024, doi: 10.1016/j.ijcce.2023.12.002.

Area of Interest

• Medical data analysis, Machine Learning, Computer vision, UAV