COMPUTER SCIENCE AND ENGINEERING

Ms. Mynapati Lakshmi Prasudha

lakshmi-prasudha-cse-faculty-bvrit-hyderabad-engineering-women-college

Ms. Mynapati Lakshmi Prasudha

Assistant Professor
[email protected]

AICTE ID: 1-38171365442
JNTUH ID: 3344-230413-113418
Ratified Status: Ratified

Ph.D.: Transformer-Based Contextual Analysis for Blood Clot Detection
M.Tech.: VNR VJIET, JNTUH 2017
B.Tech.: Malla Reddy Engineering College, JNTUH 2015

Teaching Experience: 3 Years
Research Experience: 3 Years
Industry Experience: Nil

Scopus ID: 58819703300
WoS ID: –
Google Scholar ID: BLgW0gAAAAJ
Vidwan ID: –
ORCID ID: 0000-0001-6313-7619

Machine Learning, Deep Learning, Image Processing

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  1. Lakshmi Prasudha, et al. “Feature selection algorithm assisted residual channel attention spatio-temporal auto encoder for video anomaly detection.” Signal, Image and Video Processing 19.1 (2025): 148.
  2. Lakshmi Prasudha et.al., published a paper on “Comprehensive Analysis of State-of- the-Art CAD Tools and Techniques for Chronic Kidney Disease (CKD)” in International Journal of Big Data and Analytics in Healthcare Volume 6 • Issue 2, DOI: 10.4018/IJBDAH.287605.
  3. Lakshmi Prasudha et.al., published a paper on “Control Cloud Data Access Privilege and Anonymity with Hybrid Based Encryption” Vol 4, No 14 (2017): Vol-04-Issue-14-November-2017.
  1. Mynapati Lakshmi Prasudha, SukhavasiVidyullatha “Prediction of Abnormality in Kidney Function Using Classification Techniques and Fuzzy Systems.” Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 2 2 (2024): 71.
  2. Lakshmi Prasudha et.al., published a paper on “Research Reviews: Toward Identification and Classification Kidney Disease using Computational Technology” on 5th IEEE International Conference on Computing Methodologies and Communication (ICCMC). 10.1109/ICCMC51019.2021.9418454.

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  • International Association of Engineers (IAENG) Member No: 256638
  •  ACM membership: 2489501

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  1. One day FDP on Educate the Educator on Agentic AI organized by Department of CSE, BVRITH
  2. Faculty Development Programme on Outcome based Education and Accreditation Process Conducted by Curriculum Development Centre Department from 25/11/2024 to 29/11/2024.
  3. FDP on MATLAB for Image Analysis and Pattern Recognition : From Fundamentals to Advanced Applications organized by Center for Development of Advanced Computing during 2nd to 6th September 2024.
  4. 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
  5. 5-Day FDP on Research Methodology on Machine Learning and Data Science, held at BVRIT Narsapur during 10th to 14th July 2023.
  6. 5-Day International FDP on Unleashing Emerging Research Trends and Advancements in computer science 2.0, held at VIT-AP, Amaravathi during 24th to 28th July 2024.
  7. 30 hours session on Deep Learning & AI in Health Care Data Analysisby Eduxlabs in assoc. with E-Cell IIT Hyd.
  8. 30-Hrs Live Course on Advance AI live Training with Hands-on Projects by Eduxlabs.
  9. Training on Deep Learning and Computer vision by
  10. Two Weeks Live Training on Blockchain Application from scratch.
  11. 2-weeks online FDP on AI, Deep Learning, Computer vision with pythonby Eduxlabs.
  12. 2-weeks Online FDPon BlockchainTechnology & Its Applications by Eduxlabs
  13. One Week Faculty Development Program (FDP) on “Advance Data Structures ”. organised by VNR Vignana Jyothi institute of engineering & technology.
  14. FDP on recent trends in cognitive science & its applications organised by VNR Vignana Jyothi institute of engineering & technology, Vikram university, Oriental university.
  15. 5-day PDP ON Artificial Intelligence and machine learning for engineering applications.
  16. 2-weeks Online FDP on AI & Deep Learning in Healthcare Data Analysis by 2 day FDP on Machine and Deep learning by University Industry Interaction Centre (UIIC), JNTUH under TEQIP-III.

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  1. Exam Branch Coordinator,
  2. Technical and Non-Technical Events Coordinator