COMPUTER SCIENCE AND ENGINEERING

Divya Yeluri

Ms. Divya Yeluri

Assistant Professor
[email protected]

AICTE ID:1-7796541131
JNTUH ID: 9662-200302-110739
Ratification Status: Ratified

Ph.D.: 
M.Tech.: Mallareddy Engineering College (Autonomous), JNTUH, 2018
B.Tech.: Dr. Paul Raj Engineering College, JNTUH, 2014

Teaching Experience: 6 Years
Research Experience: Nil
Industry Experience: Nil

Scopus ID: 58196806200
WoS ID: MXM-2225-2025
Google Scholar ID:  https://scholar.google.com/citations?hl=en&user=FwEEnwkAAAAJ
Vidwan ID: 273315
ORCID ID: 0000-0002-5333-3621

Machine Learning & Deep Learning (Medical)

Nil

Nil

  1. Sundari, S., Divya, Y., Durga, K. B. K. S., Sukhavasi, V., Sugnana Rao, M. D., & Rani, M. S. (2024). A Stable Method for Brain Tumor Prediction in Magnetic Resonance Images using Finetuned XceptionNet. International Journal of Computing and Digital Systems, 15(1), 67-79
  1. Mariyappan, S. S., Divya, Y., Sukhavasi, V., Durga, K. B. K. S., & Samyuktha, P. (2024, July). Improved prediction accuracy for stocks using long short-term memory algorithm. In AIP Conference Proceedings (Vol. 3028, No. 1). AIP Publishing
  2. Sundari Shanmuga, Divya Yeluri, Durga KBKS, Sukhavasi Vidyullatha, Sugnana Rao M.Dyva, Rani M. Sudha.A Stable Method For Brain Tumor Prediction In Magnetic Resonance Images Using Fine-tuned XceptionNet. International Journal of Computing and Digital Systems, Volume 15, Year 2024, Pages 67-79
  3. Divya, Y., Shanmuga Sundari, M., Seekruthi, K., Jyothsna, B., & Chaitanya, T. (2024, March). EfficientNetB1 Empowered Deep Learning for Accurate Leukemia Detection in Blood Smear Image. In International Conference on Computing and Machine Learning (pp. 345-355). Singapore: Springer Nature Singapore
  4. Lakshmi Prasudha, M., Vidyullatha, S., & Divya, Y. (2023, September). Prediction of Abnormality in Kidney Function Using Classification Techniques and Fuzzy Systems. In International Conference on Advances in Data-driven Computing and Intelligent Systems (pp. 71-80). Singapore: Springer Nature Singapore.
  5. Sukhavasi, V., & Yeluri, D. (2023, May). Identification of Retinal Fundus in Diabetic Patients Using Deep Learning Algorithms. In International Conference on Machine Learning and Big Data Analytics (pp. 173-183). Cham: Springer Nature Switzerland.
  1. Smart Diaper System with Load Monitoring and Insect Detection for Healthcare Assistance-202441101562-10/1/2025

Nil

CSI

Nil

Nil

Nil

Organized one day hands-on workshop on “Credit Card Delinquency Classification Problem using Random Forest Algorithm with Mathematics Explanation“, under CSI chapter in 2024.

Workshops:

  • Participated in “Angular JS to develop web Apps Faster”, organized by Brainovision Solutions India Pvt.Ltd.
  • Participated in 5-Day National Level Workshop on “Deep Learning for Image Analysis” organized  by Vardhaman College of  Engineering(Autonomous).
  • Participated in “Dart Programming Language”, organized by Brainovision Solutions India Pvt.Ltd.

FDP’s ATTENDED

  • Participated one day offline FDP on “Educate the Educator” on Agentic AI conducted in BVRITH in association with Capable conducted on 3rd Jan 2026
  • Completed the one week online STTP on “Artificial Intelligence for Education and Society” under Malaviya Mission Teacher Training Program, NIT Warangal conducted during 4 Feb to 10th Feb 2026
  • Participated 5 days Faculty Development Programme on “Research Methodology on Machine Learning and Data Science” organized by Department of CSE (DS), CSE (AI&ML) and AI&DS, B V Raju Institute of Technology, Narsapur.
  • Participated 5 days online International Faculty Development Programme on “Data Analytics using Power BI” organized by the Department of Information Technology, G Narayanamma Institute of Technology and Science (for women) in Collaboration with ExcelR
  • Participated in 10 Hours National Faculty Development Program on

WEBINARS ATTENDED

  • Participated in a one-day National webinar on ” The Art of Writing Research Article and Publishing in High Impact SCOPUS/SCI-E Journals” organized by Department of Computer Science and Engineering
  • Participated in Webinar on “Patent Writing & Filing” organized by department of computer science& Engineering in association with Galaxy X Innovations Private Limited

CERTIFICATIONS:

  • Completed NPTEL certification on “Database Management Systems”
  • Successfully completed the online Professional Certificate Google AI which includes
  • AI Fundamentals
  • AI for Brainstorming and
  • Planning
  • AI for Research and Insights
  • AI for Writing and
  • Communicating
  • AI for Content Creation
  • AI for Data Analysis

AI for App Building

Nil

  • Department Time table  Coordinator
  • NBA Criteria-5
  • Guided 30+ Undergraduate students for Mini and Major projects