0009-0007-7942-0508 About
Dr. Swapna Jamal is a researcher and academic specializing in Computer Science and Computer Applications, with over 18 years of teaching experience at the undergraduate and postgraduate levels. She holds a PhD in Computer Applications and is UGC-NET qualified.
Her research interests include Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Transfer Learning, Generative AI, and Quantum Image Processing, with a particular focus on intelligent plant leaf disease detection and severity estimation. Her research involves the development of advanced deep learning and hybrid AI frameworks for automated agricultural image analysis.
She has published research articles in Scopus- and SCI-indexed journals and has presented her research at international and national conferences. Her academic interests also include Artificial Intelligence, Machine Learning, Data Mining, Computer Networks, Database Management Systems, Python, Java, and Data Structures.
She is interested in interdisciplinary research, emerging AI technologies, intelligent agricultural systems, and the development of practical AI solutions for real-world applications.
Employment
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University Institute of Technology under University of Kerala Assistant Professor2007 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- A quantum-generative AI-driven attention-guided image processing framework for leaf disease detection and severity estimation Save
- Variable convolution kernel with feature fusion and transfer learning for leaf disease classification Save
- Healthy Livestock by Monitoring the Health of Plants Save
- Accurate Diagnosis of Plant Leaf Diseases Using Transfer Learning and CNN-Dense Classification Fusion Save
- Convolutional Neural Network with Extreme Learning for the Classification of Plant Leaf Diseases from Images Save
- REVIEW ON AUTOMATED LEAF DISEASE PREDICTION SYSTEMS Save