Department of CSE

M. KIRAN MAYEE

M.Tech(PhD)
Assistant Professor
Department of CSE

M. Kiran Mayee is currently working as Assistant Professor in the department of computer science & Engineering at Ravindra College of Engineering for Women, Kurnool. She joined a full-time Ph.D. in the Department of Computer Science & Engineering at Sri Venkateswara University College of Engineering, commenced her academic path with a M.Tech in 2014 and her qualifications with B.Tech in 2012. After contributing five years as an assistant professor, she has shifted her scholarly pursuits to rigorous research since 2019, focusing on cutting-edge areas such as Artificial Intelligence, Neural Networks, Machine Learning, and Deep Learning. She has returned to her role as an assistant professor. She continues to blend her teaching skills with her research knowledge, greatly benefiting her department and students

  • Pursuing PhD (CSE) Sri Venkateswara University College of Engineering.
  • MTech (CSE), G. Pulla Reddy Engineering College, Kurnool
  • BTech, G. Pullaiah College Of Engineering and Technology,Kurnool.
  1. Kiran Mayee and M. Humera Khanam, “Utilizing Advanced Deep Learning for Accurate Multilabel Classification of Ocular Diseases,” 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU), Bhubaneswar, India, 2024, pp. 1-6, doi: 10.1109/IC-CGU58078.2024.10530831.
  2. Kiran Mayee, Dr. Humera Khanam.M, [2022] “Artificial Intelligence and Deep Learning Methods for Ophthalmic Image Processing: A Review” NeuroQuantology|August 2022|Volume20|Issue10|Page 8021-8031|doi:10.14704/nq.2022.20.10.NQ55786.
  3. R. Devi, M. K. Mayee and S. Aarathi, “Identification of COVID-19 and Pneumonia in X-Ray Images using Transfer Learning,” 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2022, pp. 01-08, doi: 10.1109/ICOEI53556.2022.9776801.
  4. Kiran Mayee and T. Deepa, “A Computational Approach to Include Extraction for Recognizable Proof of Self-Destructive Ideation in Tweets,” 2020 Fourth International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2020, pp. 912-918, doi: 10.1109/ICISC47916.2020.9171077.
  1. Secured Elite NPTEL online certification for the course “Python for Data Science” for the year 2024.
  2. Qualified in University Grants Commission National Eligibility Test (UGC NET -2023).
  3. Qualified in Andhra Pradesh State Eligibility Test (APSET – 2021, APSET–2024).