Mrs. Namani Deepika Rani| Deep Learning| Best Researcher Award

Assistant Professor, Koneru Lakshmaiah Education Foundation, India.

Mrs. Namani Deepika Rani is an Assistant Professor at the Koneru Lakshmaiah Education Foundation, India, specializing in Deep Learning. With a strong academic foundation and research focus, she has made significant contributions to the field of Artificial Intelligence, particularly in the areas of machine learning and deep learning models. Mrs. Rani has been recognized with the Best Researcher Award for her outstanding research work and innovative contributions. Her dedication to advancing technology, coupled with her passion for teaching and mentorship, has earned her recognition among her peers in academia and industry.

Publication Profile

Scopus

Education :

Namani Deepika Rani is currently pursuing a Ph.D. in Computer Science & Engineering at KL University, Vaddeshwaram, Guntur. She completed her M. Tech in Computer Science and Engineering with Distinction from JNTUH Hyderabad, and her B. Tech in Computer Science and Engineering from Shadan Engineering College and Technology, Hyderabad, where she graduated with First Class. She also holds an Intermediate qualification from Narayana Junior College and completed her Xth Class from Oxford Grammar School, both with Distinction.

Experience :

With extensive teaching experience, Namani Deepika Rani has contributed to the field of Computer Science & Engineering as an Assistant Professor at various institutions. She is currently serving at Vardhaman College of Engineering in Shamshabad, Hyderabad, since July 2021. Prior to this, she worked as an Assistant Professor at Lords Institute of Engineering & Technology in Himayath Sagar, Hyderabad, from August 2019 to June 2021, and at Bharat College of Engineering and Technology, Manganpally, Ibrahimpatnam, from October 2018 to August 2019. Her teaching engagements include courses such as Artificial Intelligence, Big Data Analytics, Data Mining, Software Engineering, Design Patterns, Modern Software Engineering, and Agile Project Development.

Research Focus :

Her research interests are primarily focused on areas including machine learning, image processing, cloud infrastructure, and data science. Namani’s work has led to the development of innovative models, such as an improved rank-based recursive feature elimination method for ovarian cancer detection and a web application to identify emerging trends using Scopus and OpenAI APIs. Her expertise extends to developing intelligent systems for cyberbullying avoidance and image dehazing frameworks. She has contributed significantly to advancing healthcare technologies through her research, which is evident in her recent publications and patent applications.

Awards:

Namani Deepika Rani’s work in academia is recognized through her involvement in various professional and academic initiatives. She has been a major contributor to the organization of projects, placements, and extracurricular activities, further enhancing her leadership abilities.

Skills:

Namani possesses strong technical and analytical skills in various cutting-edge areas of Computer Science & Engineering. She is proficient in teaching and applying concepts in Artificial Intelligence, Big Data Analytics, Data Mining, and Cyber Security. With a deep understanding of software engineering principles, she has a demonstrated ability to design and implement modern software development processes. Additionally, she has a solid foundation in Agile project management and design patterns. Namani is also well-versed in research methodologies and has a strong background in publishing articles in reputed journals and conferences.

Publication :

Publication Title: Improved rank-based recursive feature elimination method based ovarian cancer detection model via customized deep architecture
- Authors: Rani, N.D., Babu, M.
- Journal: Computer Methods and Programs in Biomedicine
- Year: 2024
- Volume: 256
- Article Number: 108358
- Citations: 1
Publication Title: Machine Learning based Intelligent Cyberbullying Avoidance System
- Authors: Dhanalakshmi, D., Rani, N.D., Pendam, K., Kukreja, V., Jayakshata, P.
- Conference: International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 – Proceedings
- Year: 2023
- Pages: 1594–1597
- Citations: 1

Conclusion :

Considering her comprehensive contributions to the field of Computer Science & Engineering, her innovative approach towards research, and her continuous efforts in professional development, N. Deepika Rani stands as a strong candidate for the Best Researcher Award. However, she should focus on expanding her research’s reach and visibility through citations, collaborations, and exploring new research avenues to further solidify her position in the academic community.