Dr. G. Naga Rama Devi is a professor, distinguished academician, researcher, and academic leader with over 23 years of rich experience in teaching, research, student mentoring, and academic administration at reputed JNTUA & JNTUH affiliated Engineering Colleges and Private University. Previously she served as a Professor and Head of the Department (Data Science) at Sreyas Institute of Engineering and Technology, along with serving as Dean of Industry Relations/Corporate Relations, contributing to academic leadership, industry–academia collaboration, and institutional development.
She has extensive academic and administrative leadership experience as HoD of CSE Dept, IQAC CoDean, Dean of Academics,Dean of Student Affairs and Vice Principal at various reputed Engineering colleges. Her professional career reflects a sustained commitment to academic excellence, technological innovation, research advancement, and the holistic development of students. Over the years, she has established herself as a dedicated educator who combines strong academic foundations with emerging technologies and real-world applications.
Dr. G. Naga Rama Devi was awarded her Ph.D(CS). in 2016 from the Department of MCA, Sri Padmavati Mahila Visvavidyalayam (SPMVV), Tirupati. Her doctoral research was entitled “Ensemble Technique with PCA to Improve the Performance of the Classifiers on Breast Cancer Data.”.She is currently pursuing a Postdoctoral Fellowship from SR University, Warangal, Telangana, with continued research interests in Artificial Intelligence, Machine Learning, Dee Learning and Healthcare applications. She has actively contributed to the academic and research community as a Conference Session Chair and Peer Reviewer for reputed international conferences and scholarly journals, while also delivering invited guest lectures on contemporary topics in Computer Science, emerging technologies, and interdisciplinary applications.
Her areas of expertise include Artificial Intelligence, LLMs,Machine Learning, Deep Learning, Data Science, Image Processing, Cloud Computing,Cyber Security,Networks Cognitive Memory,Quantum Computing and Big Data Analytics. Her research interests are particularly focused on developing intelligent and data-driven solutions for challenging real-world problems. She has extensively explored modern computational approaches, particularly for applications in medical image analysis, classification, prediction, and intelligent decision-support systems.
Dr. G.Naga Rama Devi has made valuable contributions to the research community through her international journal and conference publications, including WOS and Scopus-indexed research publications. Her research reflects a strong interest in emerging areas of artificial intelligence and deep learning, with particular emphasis on developing reliable and innovative computational models for healthcare and other application domains. Her research-oriented approach encourages the integration of advanced technologies with practical problem-solving.
Her commitment to innovation is further demonstrated through her contribution to intellectual property development, with Indian patents, Design and Australian patents. These achievements reflect her ability to transform innovative concepts into technology-oriented solutions and demonstrate her sustained interest in research, invention, and knowledge creation. One of her major strengths is her commitment to student development and research mentoring. She has guided B.Tech. CSE and M.Tech. students in major and minor projects, helping them identify relevant problems, select appropriate technologies, develop practical solutions, and present their work effectively. Her mentoring approach encourages students to move beyond conventional learning and explore innovative ideas, research methodologies, emerging technologies, and real-world applications.
In addition to her research and teaching responsibilities, she actively contributes to academic development, project guidance, research paper preparation, technical mentoring, curriculum-related activities, and student and faculty development initiatives. Her multidisciplinary expertise enables her to connect emerging areas of computing and data science and encourage interdisciplinary approaches to research and innovation. With extensive experience in higher education, she has contributed significantly to teaching, curriculum development, academic planning, departmental activities, student mentoring, research guidance, and academic leadership. As a Professor and academic leader in the Department of CSE,School of Engineering and Technology at Kaveri University,, she has been actively involved in strengthening academic practices and promoting a culture of innovation, research, and continuous learning.
Dr. G.Naga Rama Devi strongly believes that contemporary technology education must go beyond theoretical knowledge. Her teaching methodology emphasizes active learning and encourages students to experiment with modern tools, datasets, frameworks, and artificial intelligence techniques. Her research contributions in the area of AI-enabled medical image processing demonstrate her interest in applying advanced computational intelligence to socially significant problems. Her work involving deep learning, generative models, synthetic data generation, data augmentation, and medical image classification aims to explore effective approaches for improving the performance and reliability of intelligent healthcare applications, including breast cancer detection and classification. With more than two decades of experience in higher education, Dr. Naga Rama Devi brings together academic maturity, research expertise, technological knowledge, innovation, and a strong commitment to student success. Her vision is to contribute to the development of an academic ecosystem where quality education, research, innovation, entrepreneurship, interdisciplinary collaboration, and industry-oriented learning complement one another. She is committed to nurturing technically proficient, creative, ethical, research-oriented, and socially responsible professionals who are capable of addressing emerging challenges in science and technology.
