Dr. Y. Krishna Bhargavi is an accomplished academician with over a decade of experience in the field of Computer Science and Engineering (CSE). Holding a Ph.D. in Computer Science and Engineering, specializing in Big Data Analytics and Cloud Computing from JNTU Kakinada, she currently serves as an Associate Professor at Gokaraju Rangaraju Institute of Engineering Technology in Hyderabad. Dr. Bhargavi’s expertise encompasses various domains within CSE, including classroom teaching, project guidance, lab management, and curriculum development. Certified by Oracle in SQL and PLSQL, she is dedicated to fostering student learning and professional development through her scholastic achievements and active participation in academic and administrative activities.
Author Metrics:
ORCID Profile
Google Scholar Profile
Dr. Bhargavi’s author metrics showcase her contribution to scholarly literature and academic discourse within the field of CSE. With multiple publications in reputable journals and conferences, her work has garnered citations and recognition from peers and researchers worldwide. Her author metrics, including h-index, citation count, and publication count, reflect the impact and significance of her research contributions in advancing knowledge and innovation in CSE.
- Citations: The number remains the same at 9 since 2019.
- h-index: It remains constant at 2, indicating that there have been no new publications with a higher citation count to change the h-index.
- i10-index: This also stays at 0, suggesting that there haven’t been any publications with at least 10 citations since 2019.
Education:
Dr. Y. Krishna Bhargavi’s educational journey is marked by academic excellence and a commitment to scholarly pursuits. Beginning with her SSC and Intermediate education, where she achieved remarkable academic success, she continued to excel in her Bachelor’s and Master’s degrees from JNTU Kakinada. Her educational journey culminated with a Ph.D. in Computer Science and Engineering, underscoring her dedication to continuous learning and professional development.
Research Focus:
Dr. Bhargavi’s research focus encompasses diverse areas within CSE, including Big Data Analytics, Cloud Computing, Machine Learning, and Biometric Security Systems. Her research interests revolve around developing innovative solutions to real-world problems, leveraging cutting-edge technologies and methodologies. Through her research endeavors, she aims to advance knowledge and contribute to the evolution of CSE as a dynamic and interdisciplinary field.
Professional Journey:
Dr. Bhargavi’s professional journey in academia spans over a decade, starting as an Assistant Professor at Gokaraju Rangaraju Institute of Engineering Technology in January 2012. Over the years, she has made significant contributions to academic and administrative operations within her department, leading to her promotion to the role of Associate Professor in March 2022. Her journey is characterized by a commitment to excellence, continuous learning, and fostering student growth and development.
Honors & Awards:
Throughout her career, Dr. Bhargavi has received numerous honors and awards in recognition of her exemplary performance and contributions to academia. From appreciation letters for teaching and training initiatives to accolades in faculty development programs and hackathons, she has consistently demonstrated outstanding leadership and dedication. Her honors and awards underscore her status as a respected academician and highlight her commitment to excellence in teaching, research, and service.
Publications Noted & Contributions:
Dr. Bhargavi’s publications are noted for their significance and contribution to the field of CSE. With research articles published in reputable journals and presented at international conferences, her work has made valuable contributions to advancing knowledge and innovation in areas such as Big Data Analytics, Cloud Computing, and Machine Learning. Her publications reflect her expertise, creativity, and dedication to scholarly pursuits.
Earthquake detection and early warning prediction using folium and Geopandas
- Published in: Cogent Engineering
- Date: December 31, 2024
- Type: Journal article
- DOI: 10.1080/23311916.2024.2345301
- Contributors: Krishna Bhargavi Y, Varshitha Reddy G, Sneha R, Gayatri S, Pranathi Y, Sergei Solovev, Nikolai Ivanovich Vatin, Upendra Dabral
A VOS analysis of LSTM Learners Classification for Recommendation System
- Published in: International Journal on Recent and Innovation Trends in Computing and Communication
- Date: 2023
- Type: Journal article
- DOI: 10.17762/ijritcc.v11i2s.6043
- Contributors: Pasha, M.J.; Rao, C.R.S.; Geetha, A.; Fernandez, T.F.; Bhargavi, Y.K.
Human Resource Management Using Machine Learning-Based Solutions
- Presented at: 3rd International Conference on Electronics and Sustainable Communication Systems, ICESC 2022 – Proceedings
- Date: 2022
- Type: Conference paper
- DOI: 10.1109/ICESC54411.2022.9885526
- Contributors: Kumar, M.R.; Sharma, A.; Bhargavi, Y.K.; Ramesh, G.
A real and accurate semantic search indexing approach using asvm machine in big data analytics
- Published in: International Journal of Engineering Trends and Technology
- Date: 2021
- Type: Journal article
- DOI: 10.14445/22315381/IJETT-V69I2P221
- Contributors: Krishna Bhargavi, Y.; Murthy, Y.S.; Srinivasa Rao, O.
Multi co-trained gated recurrent neural network for efficient document indexing: MCTGRNN
- Published in: International Journal on Emerging Technologies
- Date: 2020
- Type: Journal article
- Contributors: Bhargavi, Y.K.; Murthy, Y.S.S.R.; Rao, O.S.
Research Timeline:
Dr. Bhargavi’s research timeline highlights her scholarly journey and the evolution of her research interests and contributions over time. From her early research endeavors as a Ph.D. student to her current role as an Associate Professor, her research timeline reflects a progressive trajectory marked by continuous learning, exploration, and innovation. Each milestone in her research timeline represents a significant contribution to advancing knowledge and understanding in the field of CSE.
Collaborations and Projects:
Dr. Bhargavi has collaborated on various research projects with colleagues, students, and industry partners, fostering interdisciplinary collaboration and knowledge exchange. These collaborations have led to innovative solutions, groundbreaking research findings, and practical applications in areas such as Big Data Analytics, Cloud Computing, and Machine Learning. Through her collaborative efforts, she has contributed to the advancement of CSE and established herself as a respected researcher and educator.