Mrs Ch Rajyalakshmi - B V Raju Institute of Technology - Deep learning using medical image data
Mrs Ch Rajyalakshmi : Deep learning using medical image data
Professional profile:
Early Academic Pursuits:
Mrs. Ch. Rajyalakshmi's academic journey commenced with a Bachelor's degree in Computer Science and Information Technology from NEC, Narsaraopeta, in 2004. This laid the foundation for her pursuit of a Master's degree in Computer Science and Engineering at AVIET, Narsipatnam, in 2011. Building on her academic prowess, she is currently pursuing a Ph.D. at JNTU Kakinada, with her thesis focusing on "HIGH SPECTRAL SATELLITE IMAGE SEGMENTATION WITH DEEP LEARNING UNET BASED TECHNIQUES FOR GENERATING FLOOD INUNDATION."
Professional Endeavors:
With a teaching experience spanning 18 years, Dr. Rajyalakshmi has played pivotal roles in various academic institutions. She has been an Associate Professor at BVRIT, Narsapur, since 2011, following roles as an Assistant Professor at CMRIT Engg College, Hyderabad, and a Lecturer at Narsaraopeta Engineering College, Narsaraopeta, earlier in her career.
Contributions and Teaching Experience:
Mrs. Rajyalakshmi's expertise in computer science is evident through the diverse range of courses she has taught. From Artificial Intelligence and Machine Learning to Database Design and Operating Systems, she has contributed significantly to the education of students. Her teaching extends to areas such as Computer Networks, Software Engineering, Multimedia and Design, and Human-Computer Interaction.
Research Focus and Publications:
Mrs. Rajyalakshmi's research interests primarily revolve around the application of Deep Learning architectures for spatial data, particularly in processing high spectral satellite images for water body identification. Her publications in renowned journals and conferences reflect the depth of her contributions to the field. Some notable publications include works on satellite image data extraction using classification techniques and the detection of active attacks in Mobile Ad Hoc Networks (MANETs).
Accolades and Recognition:
Mrs. Rajyalakshmi's academic achievements include being FET Qualified in 2011 and GATE Qualified in 2006. Her commitment to excellence is also evident in her completion of various NPTEL courses and Coursera certifications, covering topics such as Machine Learning, Database Management Systems, Deep Learning, and Artificial Intelligence.
Impact and Influence:
Through her research and teaching endeavors, Mrs. Rajyalakshmi has made a significant impact on the academic community. Her publications and patents attest to her dedication to advancing knowledge in computer science and related domains.
Legacy and Future Contributions:
As a seasoned educator and researcher, Mrs. Rajyalakshmi continues to shape the academic landscape. Her administrative responsibilities, including course coordination, involvement in accreditation processes, and leadership roles in various committees, showcase her commitment to the holistic development of educational institutions. With an ongoing Ph.D. pursuit and an impressive list of publications and patents, she is poised to leave a lasting legacy in the realms of computer science, education, and research. Her multifaceted contributions highlight a career marked by continuous growth, learning, and impactful contributions to academia.
Notable Publications:
- A Novel Architecture Implementation Using Multi Scale Shared Residual Network from Remote Sensing Images for Extracting Water Bodies (2022), DOI: 10.18280/isi.270212
- Comparative study of satellite multispectral image data processing with MapReduce and classification algorithm International Journal of Computer Applications in Technology (2022), DOI: 10.1504/ijcat.2022.10049748
- Compressed High Resolution Satellite Image Processing to Detect Water Bodies with Combined Bilateral Filtering and Threshold Techniques Traitement du Signal (2022-04-30 ), DOI: 10.18280/ts.390230
- A review of fog and edge computing with big data analytics (2021)
- Extraction of Various Features from Satellite Image Data using Supervised and Unsupervised
Classification Techniques and Threat Alerts Generations for Emergency Management”, by Ch. Rajya
Lakshmi Dr. K.Rammohan Rao , Dr. R.Rajeswara Rao in “International Journal of Engineering and
Technology (IJET, UAE)” 7 (3.29) (2018) 684-687,DOI:10.14419/ijet.v7i4.29.21639, Article ID: 21639
andpublication - INTRUSION-TOLERANT ARCHITECTURE FOR MOBILE ADHOC NETWORKS” by
padmaja,ch.Rajyalakshmi in International Journal of Engineering and Innovative Technology (IJEIT)
Volume 1, Issue 4, April 2012, ISSN: 2277- 3754.
Citations:
A total of 8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.
- Citations 8
- h-index 2