To work with dedication and passion towards excellence in teaching, research, and academic development by creating a positive, supportive, and student-centered learning environment. My objective is to build a strong and healthy relationship with students through effective communication, mentoring, and guidance, enabling them to enhance their knowledge, analytical thinking, problem-solving skills, and professional abilities.

I am committed to encouraging innovative learning practices, providing academic and research counselling, and supporting students in identifying their strengths and achieving their full potential. My goal is to contribute to holistic student development by fostering curiosity, confidence, ethical values, and lifelong learning skills while maintaining an inclusive and motivating academic environment.

Dr. Stavelin Abhinandithe is currently an Associate Professor in the Division of Medical Statistics, School of Life Sciences, JSS Academy of Higher Education & Research (JSSAHER), Mysuru. She has 17 years of academic and research experience in the field of Statistics with expertise in Deep Learning Techniques, Machine Learning Applications, Medical Image Analytics, Multivariate Statistical Modelling, Data Mining Techniques, Predictive Analytics, and Applied Medical Statistics.

Her research interests focus on integrating advanced statistical methodologies with Artificial Intelligence (AI), Machine Learning, and Deep Learning models, particularly in medical image analysis, biomedical data analytics, pattern recognition, and data-driven decision-making in healthcare research. She has contributed research publications involving deep learning techniques and machine learning-based image analysis models, bridging statistical concepts with emerging computational approaches.

She has published 35 research papers in peer-reviewed national and international journals and has actively contributed to multidisciplinary research collaborations in biomedical sciences, healthcare analytics, and computational statistics.

She is presently serving as the Coordinator of the Division of Medical Statistics,  JSSAHER, providing academic and administrative leadership in teaching, research, and departmental activities. She has also been serving as the Coordinator for the B.Sc. Statistics and Data Analytics Programme, contributing to curriculum development, implementation of data science-oriented academic frameworks, and strengthening computational statistics education.

She has extensive teaching experience across undergraduate, postgraduate, and doctoral programmes. She has taught courses in Statistics, Research Methodology, Statistical Computing, Data Analytics, and Statistical Methods for students and research scholars from diverse disciplines.

She obtained her Ph.D. in 2022 from the  School of Life Sciences, JSS Academy of Higher Education & Research, Mysuru. Her doctoral and ongoing research contributions emphasize the application of statistical learning methods, artificial intelligence approaches, and advanced computational techniques for solving interdisciplinary scientific and healthcare challenges.

With a strong combination of expertise in statistics, artificial intelligence, machine learning, and biomedical research, Dr. Stavelin continues to contribute towards innovative teaching, collaborative research, and the advancement of data-driven approaches in health sciences.

• Artificial Intelligence (AI) and Deep Learning Applications in Healthcare
• Machine Learning Models for Biomedical Data Analysis and Clinical Decision Support Systems.
• Computational Statistics and Interdisciplinary Data-Driven Research