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Lakshmi Prasanna M.

Assistant Professor (OC), School of Computing, Amaravati

Qualification: B. Tech., M. Tech., Ph. D. (Pursuing)
mp_lakshmi@av.amrita.edu
Research Interest: Image Processing, Machine Learning, and Deep Learning, Focusing on Medical Image Analysis and Real-Time Vision Systems

Bio Publications FDP / Workshops Conferences
Bio

M. Lakshmi Prasanna is a Faculty Associate in the Department of Computer Science and Engineering, School of Computing, at Amrita Vishwa Vidyapeetham, Amaravati Campus. She earned her M.Tech in Computer Science and Technology from JNTU, Kakinada, in 2019 and her B.Tech in Computer Science and Technology from JNTU, Kakinada, in 2017. Prior to joining Amrita Vishwa Vidyapeetham, she worked as an Assistant Professor in the Department of Computer Science and Engineering at VITW, Enikepadu, Vijayawada, from September 2019 to December 2023, gaining over five years of teaching experience. She has presented her research at international conferences, and her research interests include machine learning, deep learning, data science, explainable AI, and artificial intelligence.

Currently, working on Parkinson’s disease detection using medical images, exploring deep learning models and explainable AI in healthcare.

Publications

Conference Paper

Year : 2024

Enhanced Parkinson’s Diagnosis through Ensemble Learning with Stacking and Cross-Validation

Cite this Research Publication : M. Lakshmi Prasanna, Chandan Kumar, Ram Krishn Mishra, Enhanced Parkinson’s Diagnosis through Ensemble Learning with Stacking and Cross-Validation, Sixth International Conference on Futuristic Trends in Networks & Computing Technologies (FTNCT-06), Procedia Computer Science, Volume 259, Pages 250-259, 23rd – 24th December 2024, Elsevier BV, https://doi.org/10.1016/j.procs.2025.03.326

Publisher : Elsevier BV

Journal Article

Year : 2019

A Secure Scheme of Cloud Forensics for Cloud LogAssuring Soundness and Secrecy

Cite this Research Publication : M. Lakshmi Prasanna, Dr. KPNV Satya Sree, A Secure Scheme of Cloud Forensics for Cloud Log Assuring Soundness and Secrecy, International Journal of Research (IJR), Vol 8, Issue 6, pp. 5007-5013, 2019.

Publisher : International Journal of Research (IJR)

FDP / Workshops
  1. Attended a One-Week National Level FDP on “Artificial Intelligence and Machine Learning”, organized by E&ICT Academy, MNIT Jaipur, from 17th – 21st December 2018.
  2. Participated in a One-Week FDP on “Effective Teaching and Learning”, conducted by the Department of CSE, SRKIT, from 14th – 17th October 2018.
  3. Attended a Five-Day FDP on “Artificial Intelligence”, organized by the Department of CSE, Vignan Institute of Engineering, from 22nd – 26th May 2020.
  4. Completed a Five-Day FDP on “Cyber Security”, organized by the Department of CSE, Vignan Institute of Engineering, from 28th May – 1st June 2020.
  5. Attended a Three-Day FDP on “Recent Advancements in Image Processing and IoT”, organized by the Department of CSE, Lingayas Institute of Management and Technology, from 3rd – 5th June 2020.
  6. Participated in a One-Week FDP on “PHP & MySQL”, conducted by the Department of CSE, JNTUH, from 18th – 23rd May 2020.
  7. Attended a Five-Day Online FDP on “Blockchain Technologies”, organized by the Department of CSE, Gudlavalleru Engineering College, from 9th – 13th June 2020.
Conferences
  • A Method for Estimating the Likelihood of Receiving a Loan Approval that is primarily based on the Machine Learning.
  • Using Random Forest and the Cart algorithm to Detect Fraudulent Use of credit Cards.
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