CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Ms. A. Naga Kalyani

Ms. A. Naga Kalyani

Assistant Professor (CSE-AI & ML)
nagakalyani.a@bvrithyderabad.edu.in

AICTE ID: 1-7398408181
JNTUH ID: 82150406-100839
Ratified Status: Ratified

Ph.D.: Pursuing – at Anurag University, Hyderabad
M.Tech.: National Institute of Technology, Warangal
B.Tech : Institute of Aeronautical Engineering, JNTUH

Teaching Experience: 10 Years
Research Experience: Nil
Industry Experience:  Nil

Scopus ID: 57223016740
WoS ID: AAZ-1536-697X
Google Scholar ID: Wc6eph8AAAAJ
Vidwan ID: 105156
ORCID ID: 0000-0002-1746-697x

Computer Vision, Image Processing

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  1. L. Lakshmi et al., “Performance Analysis of Cycle GAN in Photo to Portrait Transfiguration Using Deep Learning Optimizers,” in IEEE Access, vol. 11, pp. 136541-136551, 2023, doi: 10.1109/ACCESS.2023.3337430.
  1. N. Kalyani, T. L. Praveena, S. N. Keerthana, K. P and P. Jaligama, “Spotlight on Deception: Uncovering Hidden Manipulation,” 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), Nagpur, India, 2024, pp. 1-5, doi: 10.1109/ICAIQSA64000.2024.10882323.
  2. Vidhya, A. Kiran, Y. V. R. Rao, A. N. Kalyani, J. Vamsinath and P. Purushotham, “Relavation Schemes of Malicious Data For Distributed Machine Learning,” 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), Bhubaneswar, India, 2024, pp. 1-4, doi: 10.1109/ASSIC60049.2024.10507938.
  3. Lakshmi, A. N. Kalyani, G. N. Satish, D. Swapna and M. P. Reddy, “The preeminence of Fog Computing and IoT enabled Cloud Systems in Health care,” 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2021, pp. 368-375, doi: 10.1109/ICICV50876.2021.9388408.
  4. L. Lakshmi, K. D. S. Devi, A. N. Kalyani, M. Ravisankar and K. P. Rani, “Automated Word Prediction In Telugu Language Using Statistical Approach,” 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2023, pp. 1-5, doi: 10.1109/ICCCI56745.2023.10128384
  1. Method And System For Providing Neural Networks For Medical Image Processing To Accurately Assess The Growth OfTumor Mrs. A Naga Kalyani, Assistant Professor, Cse(Ai&Ml) Department , Application No: 202241072817  (Indian Patent) Published On: 30/12/2022
  2. A Novel Classification Model For Infected Tree Leaves Classification Using Deep Convolutional Neural, Mrs. A Naga Kalyani, Assistant Professor, Cse(Ai&Ml) Department Application No: 202341051699  (Indian Patent) Published On:  01/09/2023 
  3. Healai: Autonomous Healthcare Management Using Reinforcement Learning Dr.T.Lakshmi Praveena, Ms.A.Naga Kalyani, Ms.V.Asha Cse(Ai&Ml) Department, Application No: 202441027697 A Published On: 12/04/2024

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  • ACM Professional Membership – Membership ID: 5043853

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    ISTE Life Member – Membership ID : 77992

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  • Attended One week FDP on Developing Healthy Work Culture at Work Place conducted by Curriculum Development Center Department from 2- 12- 2024 to 6-12-2024 at BVRIT HYDERABAD College of Engineering for Women.
  • Attended Online FDP on Machine Learning organized by SkillDzire in collaboration with AICTE from 01-09-2024 to 1-10-2024.
  • Attended One-Week National Level Faculty Development Programme (Hybrid Mode) on “Assimilation of Indian Knowledge Systems with NEP-2020: Prospect and Retrospect” from 30 July 2024 to 04 August 2024, organized by the Department of Basic Sciences & Humanities and Internal Quality Assurance Cell (IQAC), BVRIT HYDERABAD College of Engineering for Women, Hyderabad, India.
  • Attended One Week ATAL FDP on Design Thinking: Unleashing Creativity in Product Development at VASAVI COLLEGE OF ENGINEERING from 19/08/2024 to 24/08/2024.
  • Attended One week FDP programme on Data Analytics using Tableau organized by Malla Reddy Engineering College for Women , Hyderabad from 15 July 2024 to 20 July 2024.
  • Attended ATAL Online 5 days FDP on Artificial Intelligence for Agricultural Innovation from 11-12-2023 to 16-12-2023 at BVRITHYDERABAD College of Engineering for Women.
  • Attended 5 Day Research Methodology on Machine Learning and Data Science Research Methodology on Machine Learning and Data Science” held during 10th July, 2023 to 14th July, 2023
  • Attended ATAL Online 5 days FDP CyberSense AI: Navigating the Convergence of Artificial Intelligence and Cybersecurity at INSTITUTE OF AERONAUTICAL ENGINEERING from 29-01-2024 to 03-02-2024.
  • Attended ATAL Online 5 days FDP on Cyber Security ” from 2021-1-4 to 2021-1-8 at Dr. M.G.R. Educational and Research Institute.
  • Attended ATAL Online 5 days FDP on Internet of Things from 2020-12-15 to 2020-12-19 at Anurag Group of Institutions, Hyderabad.
  • Completed Online STC on “Deep Learning” held from 14/09/2020 to 19/09/2020 conducted by JNTUH

Major Project Coordinator