0000-0002-1570-6335 About
I am Dr. Sharada K. Shiragudikar, currently working as an Associate Professor at the School of Computer Science, KLE Technological University, Hubli. With over 15 years of academic experience, I have been actively involved in teaching, research, and mentoring students in the field of Computer Science and Engineering.
I completed my Ph.D. in 2024 from VTU, focusing on deep learning techniques for predicting salinity tolerance in rice at the seedling stage. My research interests lie in Artificial Intelligence, Deep Learning, Image Processing and their applications in agriculture and healthcare, Generative AI and Agentic AI
I have published research articles in reputed journals like SN Computer Science and Springer, and contributed book chapters in the domain of intelligent systems.
I am passionate about exploring emerging technologies and applying them to solve real-world problems while also guiding the next generation of engineers and researchers.
Employment
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KLE Technological University ASSOCIATE PROFESSOR2009 - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Predicting Salinity Resistance of Rice at the Seedling Stage: An Evaluation of Transfer Learning Methods Save
- Predictive Models for the Early Diagnosis and Prognosis of Knee Osteoarthritis Using Deep Learning Techniques Save
- Diagnosing and grading knee osteoarthritis from X ray images using deep neural angular extreme learning machine Save
- Enhancing Rice Crop Resilience: Leveraging Image Processing Techniques in Deep Learning Models to Predict Salinity Stress of Rice during the Seedling Stage Save
- Insight Analysis of Deep Learning and a Conventional Standardized Evaluation System for Assessing Rice Crop's Susceptibility to Salt Stress during the Seedling Stage Save