About
Dr. Priya Nandihal is an accomplished academician and researcher with over 15 years of experience in higher education, research, and industry. She holds a Ph.D. in Computer and Information Sciences from Visvesvaraya Technological University. Her doctoral research focused on the development of efficient algorithms for denoising microarray images, contributing to advancements in medical image analysis.
Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Processing, Computer Networks, Cloud and Fog Computing, and Blockchain Technologies. Dr. Nandihal has published extensively in Scopus-indexed journals and reputed international conferences. Her scholarly contributions span areas such as microarray image denoising, AI-driven healthcare applications, medical imaging, and emerging computing paradigms, and are reflected through citations on her Google Scholar profile.
Dr. Nandihal is also the inventor and co-inventor of several Indian patents and registered designs, highlighting her engagement in applied research and innovation.
She has held key academic and administrative responsibilities, including serving as Institute Research Development Cell Coordinator and Industry–Institute Interaction Coordinator. She has been instrumental in executing Memoranda of Understanding (MoUs) with national and international universities and industry partners, fostering collaborative research and academic exchange. She has also actively contributed to curriculum design for autonomous programs, preparation of course materials, and submission of research funding proposals to agencies such as VGST and NAAVIC.
With prior experience in the software industry, Dr. Priya Nandihal brings a balanced perspective to teaching and research and remains committed to academic excellence, student mentoring, and institutional development.
- Research expertise in Artificial Intelligence, Machine Learning, and Deep Learning with applications in healthcare and medical imaging.
- Significant contributions to microarray image denoising using statistical, transform-based, and deep learning approaches.
- Experience in medical image analysis including MRI-based disease detection and segmentation techniques.
- Research work in cloud and fog computing, blockchain-based privacy preservation, and AI-enabled systems.
- Active involvement in applied research, patents, and funded research proposal development."
- Research Interest
- Artificial Intelligence and Machine Learning
- Deep Learning Algorithms
- Medical Image Processing and Analysis
- Computer Networks and Security
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Doctoral Degree Award (Ph.D.)
Awarded Ph.D. in Computer and Information Sciences for significant research contributions in developing efficient algorithms for microarray image denoising.
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Scopus-Indexed Research Publications
Authored multiple Scopus-indexed journal and conference publications in Artificial Intelligence, medical image processing, and emerging computing technologies.
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Indian Patents and Registered Designs
Inventor and co-inventor of multiple Indian patents and registered designs demonstrating innovation in artificial intelligence, healthcare, and technology-enabled systems.
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Research Funding Proposal Submissions
Successfully prepared and submitted funded research proposals to agencies such as VGST, Anrf and NAAVIC, contributing to institutional research growth.
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Academic and Research Leadership
Served as Institute Research Development Cell Coordinator and Industry–Institute Interaction Coordinator, strengthening research culture and academic–industry collaboration."
Associate Professor
Institute: School of Computer Science and Engineering
B.E, M.Tech, P.hD
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